diff --git "a/evaluation_p_metrics.csv" "b/evaluation_p_metrics.csv" deleted file mode 100644--- "a/evaluation_p_metrics.csv" +++ /dev/null @@ -1,44321 +0,0 @@ -db_path,db_category,tbl_name,test_category,sql_tag,query,question,db_schema_normalized,db_schema,price,predicted_sql,answer,time,model,number_question,valid_efficiency_score,cell_precision,cell_recall,execution_accuracy,tuple_cardinality,tuple_constraint,tuple_order,VES -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `devicetype` FROM `fitnessTrackers`,Show the different devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT DISTINCT devicetype -FROM fitnessTrackers;","```sql -SELECT DISTINCT devicetype -FROM fitnessTrackers; -```",1.8136394024,llama-70,0,1.0736964072608257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `modelname` FROM `fitnessTrackers`,Show the different modelname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT DISTINCT modelname -FROM fitnessTrackers;","```sql -SELECT DISTINCT modelname -FROM fitnessTrackers; -```",0.4623780251,llama-70,1,1.0479177388626137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `color` FROM `fitnessTrackers`,Show the different color in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT DISTINCT color -FROM fitnessTrackers;","```sql -SELECT DISTINCT color -FROM fitnessTrackers; -```",2.3648388386,llama-70,2,1.0029507739099137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `display` FROM `fitnessTrackers`,Show the different display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT DISTINCT display -FROM fitnessTrackers;","```sql -SELECT DISTINCT display -FROM fitnessTrackers; -```",0.9885957241,llama-70,3,0.9980580939661067,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `brandname` FROM `fitnessTrackers`,Show the different brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT DISTINCT brandname -FROM fitnessTrackers;","```sql -SELECT DISTINCT brandname -FROM fitnessTrackers; -```",1.3743150234,llama-70,4,1.0097719159747398,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `transactionno` FROM `salesTransactions`,Show the different transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT DISTINCT transactionno -FROM salesTransactions;","```sql -SELECT DISTINCT transactionno -FROM salesTransactions; -```",1.170873642,llama-70,5,1.076534724709891,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `date` FROM `salesTransactions`,Show the different date in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001845,"SELECT DISTINCT date -FROM salesTransactions;","```sql -SELECT DISTINCT date -FROM salesTransactions; -```",0.4955978394,llama-70,6,1.0087824288673568,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productno` FROM `salesTransactions`,Show the different productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT DISTINCT productno -FROM salesTransactions;","```sql -SELECT DISTINCT productno -FROM salesTransactions; -```",0.4549646378,llama-70,7,0.9958463303412803,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productname` FROM `salesTransactions`,Show the different productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT DISTINCT productname -FROM salesTransactions;","```sql -SELECT DISTINCT productname -FROM salesTransactions; -```",0.7765278816,llama-70,8,1.031102003341127,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `country` FROM `salesTransactions`,Show the different country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001845,"SELECT DISTINCT country -FROM salesTransactions;","```sql -SELECT DISTINCT country -FROM salesTransactions; -```",1.0636959076,llama-70,9,1.009188598836124,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `display`, COUNT(*) FROM `fitnessTrackers` GROUP BY `display`","For each display, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT display, COUNT(*) -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, COUNT(*) -FROM fitnessTrackers -GROUP BY display; -```",1.2618584633,llama-70,10,1.0152895389128331,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `devicetype`, COUNT(*) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002007,"SELECT devicetype, COUNT(*) -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, COUNT(*) -FROM fitnessTrackers -GROUP BY devicetype; -```",0.4764544964,llama-70,11,1.0100398197502607,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `modelname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `modelname`","For each modelname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001998,"SELECT modelname, COUNT(*) as count -FROM fitnessTrackers -GROUP BY modelname;","```sql -SELECT modelname, COUNT(*) as count -FROM fitnessTrackers -GROUP BY modelname; -```",1.5178682804,llama-70,12,0.9973885368875977,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `strapmaterial`, COUNT(*) FROM `fitnessTrackers` GROUP BY `strapmaterial`","For each strapmaterial, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT strapmaterial, COUNT(*) -FROM fitnessTrackers -GROUP BY strapmaterial;","```sql -SELECT strapmaterial, COUNT(*) -FROM fitnessTrackers -GROUP BY strapmaterial; -```",0.4953553677,llama-70,13,0.994776923977249,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `brandname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `brandname`","For each brandname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT brandname, COUNT(*) -FROM fitnessTrackers -GROUP BY brandname;","```sql -SELECT brandname, COUNT(*) -FROM fitnessTrackers -GROUP BY brandname; -```",1.0835418701,llama-70,14,1.0046799315735895,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT devicetype, MIN(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MIN(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype; -```",0.5980830193,llama-70,15,0.9920456860685078,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002088,"SELECT devicetype, MAX(sellingprice) as max_sellingprice -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MAX(sellingprice) as max_sellingprice -FROM fitnessTrackers -GROUP BY devicetype; -```",0.5836510658,llama-70,16,1.0187254706220865,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000216,"SELECT - devicetype, - AVG(sellingprice) AS average_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - AVG(sellingprice) AS average_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype; -```",0.6424481869,llama-70,17,1.002521740536306,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT devicetype, SUM(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, SUM(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype; -```",0.7945377827,llama-70,18,1.0159937211310472,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002097,"SELECT devicetype, MIN(averagebatterylife) -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MIN(averagebatterylife) -FROM fitnessTrackers -GROUP BY devicetype; -```",1.7044858932,llama-70,19,0.9992578666749624,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000216,"SELECT devicetype, MAX(averagebatterylife) as max_average_batterylife -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MAX(averagebatterylife) as max_average_batterylife -FROM fitnessTrackers -GROUP BY devicetype; -```",0.5553133488,llama-70,20,0.9925307336777911,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002223,"SELECT - devicetype, - AVG(averagebatterylife) AS average_batterylife -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - AVG(averagebatterylife) AS average_batterylife -FROM - fitnessTrackers -GROUP BY - devicetype; -```",0.8271222115,llama-70,21,1.0074877248903662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002232,"SELECT - devicetype, - SUM(averagebatterylife) AS sum_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - SUM(averagebatterylife) AS sum_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype; -```",0.5143258572,llama-70,22,1.001830889380096,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001989,"SELECT display, MIN(sellingprice) -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MIN(sellingprice) -FROM fitnessTrackers -GROUP BY display; -```",0.5230240822,llama-70,23,0.9972454293816407,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT display, MAX(sellingprice) as max_sellingprice -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MAX(sellingprice) as max_sellingprice -FROM fitnessTrackers -GROUP BY display; -```",1.2689971924,llama-70,24,0.9868194880216605,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT display, AVG(sellingprice) as average_selling_price -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, AVG(sellingprice) as average_selling_price -FROM fitnessTrackers -GROUP BY display; -```",0.545971632,llama-70,25,1.004607755149191,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001989,"SELECT display, SUM(sellingprice) -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, SUM(sellingprice) -FROM fitnessTrackers -GROUP BY display; -```",0.5761384964,llama-70,26,1.0045699610751473,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT display, MIN(averagebatterylife) -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MIN(averagebatterylife) -FROM fitnessTrackers -GROUP BY display; -```",0.6459772587,llama-70,27,0.9893330467751723,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT display, MAX(averagebatterylife) -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MAX(averagebatterylife) -FROM fitnessTrackers -GROUP BY display; -```",1.8938670158,llama-70,28,1.0109669303311613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002151,"SELECT - display, - AVG(averagebatterylife) AS average_battery_life -FROM - fitnessTrackers -GROUP BY - display;","```sql -SELECT - display, - AVG(averagebatterylife) AS average_battery_life -FROM - fitnessTrackers -GROUP BY - display; -```",0.482896328,llama-70,29,0.9670385045760137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002178,"SELECT - display, - SUM(averagebatterylife) AS sum_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display;","```sql -SELECT - display, - SUM(averagebatterylife) AS sum_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display; -```",0.4563939571,llama-70,30,0.9949270014929943,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `transactionno`, COUNT(*) FROM `salesTransactions` GROUP BY `transactionno`","For each transactionno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT transactionno, COUNT(*) as count -FROM salesTransactions -GROUP BY transactionno","```sql -SELECT transactionno, COUNT(*) as count -FROM salesTransactions -GROUP BY transactionno -```",0.426415205,llama-70,31,0.9738057502243903,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `date`, COUNT(*) FROM `salesTransactions` GROUP BY `date`","For each date, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002088,"SELECT - date, - COUNT(*) as num_rows -FROM - salesTransactions -GROUP BY - date -ORDER BY - date;","```sql -SELECT - date, - COUNT(*) as num_rows -FROM - salesTransactions -GROUP BY - date -ORDER BY - date; -```",0.4444799423,llama-70,32,1.0650667788402253,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productno`, COUNT(*) FROM `salesTransactions` GROUP BY `productno`","For each productno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002061,"SELECT - productno, - COUNT(*) as row_count -FROM - salesTransactions -GROUP BY - productno;","```sql -SELECT - productno, - COUNT(*) as row_count -FROM - salesTransactions -GROUP BY - productno; -```",0.685739994,llama-70,33,0.9911295895726256,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productname`, COUNT(*) FROM `salesTransactions` GROUP BY `productname`","For each productname, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT productname, COUNT(*) as count -FROM salesTransactions -GROUP BY productname;","```sql -SELECT productname, COUNT(*) as count -FROM salesTransactions -GROUP BY productname; -```",1.4826309681,llama-70,34,0.9535640031901846,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `country`, COUNT(*) FROM `salesTransactions` GROUP BY `country`","For each country, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT - country, - COUNT(*) as num_rows -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - COUNT(*) as num_rows -FROM - salesTransactions -GROUP BY - country; -```",0.6664984226,llama-70,35,1.045436926417504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000207,"SELECT - date, - MIN(customerno) as min_customerno -FROM - salesTransactions -GROUP BY - date","```sql -SELECT - date, - MIN(customerno) as min_customerno -FROM - salesTransactions -GROUP BY - date -```",0.8573114872,llama-70,36,1.0052512417654917,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001998,"SELECT date, MAX(customerno) as max_customerno -FROM salesTransactions -GROUP BY date","```sql -SELECT date, MAX(customerno) as max_customerno -FROM salesTransactions -GROUP BY date -```",0.9680831432,llama-70,37,1.0022829850076116,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000207,"SELECT - date, - AVG(customerno) AS average_customerno -FROM - salesTransactions -GROUP BY - date","```sql -SELECT - date, - AVG(customerno) AS average_customerno -FROM - salesTransactions -GROUP BY - date -```",2.0393846035,llama-70,38,1.0079799187573977,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002079,"SELECT - date, - SUM(customerno) AS sum_of_customerno -FROM - salesTransactions -GROUP BY - date","```sql -SELECT - date, - SUM(customerno) AS sum_of_customerno -FROM - salesTransactions -GROUP BY - date -```",0.5661172867,llama-70,39,1.0071253205531454,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT - date, - MIN(price) as min_price -FROM - salesTransactions -GROUP BY - date","```sql -SELECT - date, - MIN(price) as min_price -FROM - salesTransactions -GROUP BY - date -```",0.5654792786,llama-70,40,1.0612764267021944,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001971,"SELECT date, MAX(price) as max_price -FROM salesTransactions -GROUP BY date","```sql -SELECT date, MAX(price) as max_price -FROM salesTransactions -GROUP BY date -```",0.4703700542,llama-70,41,1.0594299631568702,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT - date, - AVG(price) AS average_price -FROM - salesTransactions -GROUP BY - date","```sql -SELECT - date, - AVG(price) AS average_price -FROM - salesTransactions -GROUP BY - date -```",0.7667076588,llama-70,42,1.0094804152605914,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT - date, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - date","```sql -SELECT - date, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - date -```",0.8568475246,llama-70,43,1.010591691390126,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001998,"SELECT country, MIN(customerno) as min_customerno -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MIN(customerno) as min_customerno -FROM salesTransactions -GROUP BY country; -```",0.4650075436,llama-70,44,1.0148010718763714,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001998,"SELECT country, MAX(customerno) as max_customerno -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MAX(customerno) as max_customerno -FROM salesTransactions -GROUP BY country; -```",0.3638658524,llama-70,45,1.012620297791589,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000207,"SELECT - country, - AVG(customerno) AS average_customerno -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - AVG(customerno) AS average_customerno -FROM - salesTransactions -GROUP BY - country; -```",0.94359231,llama-70,46,0.990581167414791,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000207,"SELECT - country, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - country; -```",0.7654874325,llama-70,47,0.997071370377773,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001971,"SELECT country, MIN(price) as min_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MIN(price) as min_price -FROM salesTransactions -GROUP BY country; -```",1.028036356,llama-70,48,1.0261165166620663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001971,"SELECT country, MAX(price) as max_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MAX(price) as max_price -FROM salesTransactions -GROUP BY country; -```",0.4017202854,llama-70,49,0.9950955361423446,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT - country, - AVG(price) AS average_price -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - AVG(price) AS average_price -FROM - salesTransactions -GROUP BY - country; -```",0.992762804,llama-70,50,1.010718575098374,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT - country, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - country; -```",0.4556324482,llama-70,51,1.0104587151270799,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) >= 1,Find all the modelname that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004824,"SELECT DISTINCT ft.modelname -FROM fitnessTrackers ft -JOIN salesTransactions st ON ft.modelname = st.productname;","```sql -SELECT DISTINCT modelname -FROM fitnessTrackers -WHERE modelname IN (SELECT modelname FROM fitnessTrackers); -``` -However, the above query will return all modelnames as the subquery will return all modelnames. - -A more accurate query would be to check if there are any records in the table, if yes then return all modelnames. - -```sql -SELECT modelname -FROM fitnessTrackers -WHERE EXISTS (SELECT 1 FROM fitnessTrackers); -``` -Or simply, -```sql -SELECT modelname -FROM fitnessTrackers; -``` -This will return all modelnames if there is at least one record in the table. If the table is empty, it will return no rows. - -Note: The question seems to be asking for modelnames that have at least one record in the table, which is a bit confusing because if a modelname exists in the table, it has at least one record by definition. If the intention is to find modelnames that have at least one record in the salesTransactions table, the query would be different. - -To find modelnames that have at least one record in the salesTransactions table, you would need to join the two tables on a common column, but since there is no common column between the two tables, you would need to know the relationship between the tables to write the correct query. - -For example, if the productname in the salesTransactions table corresponds to the modelname in the fitnessTrackers table, the query would be: -```sql -SELECT DISTINCT ft.modelname -FROM fitnessTrackers ft -JOIN salesTransactions st ON ft.modelname = st.productname; -```",3.5264325142,llama-70,52,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) <= 1,Find all the modelname that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002043,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1; -```",0.7272586823,llama-70,53,0.9591208970070569,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) >= 1,Find all the color that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002862,"SELECT DISTINCT color -FROM fitnessTrackers -WHERE color IS NOT NULL;","```sql -SELECT color -FROM fitnessTrackers -WHERE color IS NOT NULL -GROUP BY color -HAVING COUNT(color) >= 1; -``` -However, the above query can be simplified as the `HAVING COUNT(color) >= 1` condition is implicitly satisfied by the `GROUP BY` clause. So, the simplified query would be: - -```sql -SELECT color -FROM fitnessTrackers -WHERE color IS NOT NULL -GROUP BY color; -``` -Or even simpler: - -```sql -SELECT DISTINCT color -FROM fitnessTrackers -WHERE color IS NOT NULL; -```",1.6588888168,llama-70,54,1.03342103691962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) <= 1,Find all the color that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(*) <= 1;","```sql -SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(*) <= 1; -```",0.5565364361,llama-70,55,1.0074957471138895,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) >= 4,Find all the display that have at least 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4;","```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4; -```",0.7326259613,llama-70,56,1.009158633749876,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) <= 4,Find all the display that have at most 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) <= 4;","```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) <= 4; -```",0.4082753658,llama-70,57,0.9683139193729924,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) >= 8.81,List the strapmaterial which average of averagebatterylife is at least 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002952,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife >= 8.81; -``` -However, the question asks for the strapmaterial where the average of averagebatterylife is at least 8.81. This implies that we need to first calculate the average of averagebatterylife for each strapmaterial and then filter the results. - -Here's the corrected SQL query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81; -```",1.6421439648,llama-70,58,0.9959399252044516,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) <= 8.81,List the strapmaterial which average of averagebatterylife is at most 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003159,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) <= 8.81;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife <= 8.81; -``` -However, the above SQL query will return all the strap materials where the average battery life is less than or equal to 8.81. But if you want to get the strap materials where the average of average battery life is at most 8.81, you should use the AVG function to calculate the average of average battery life for each strap material and then filter the results. Here is the correct SQL query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) <= 8.81; -```",1.0010619164,llama-70,59,1.0066936856873445,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) >= 32.4,List the strapmaterial which summation of averagebatterylife is at least 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002187,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4; -```",0.9938929081,llama-70,60,0.9965725496573504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) <= 32.4,List the strapmaterial which summation of averagebatterylife is at most 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002187,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4; -```",0.4732043743,llama-70,61,0.99435524931473,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) >= 19076.5,List the strapmaterial which average of sellingprice is at least 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002142,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5 -```",0.5943186283,llama-70,62,1.0042245477436134,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) <= 19076.5,List the strapmaterial which average of sellingprice is at most 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003015,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice <= 19076.5; -``` -However, the question asks for the strapmaterial where the average of sellingprice is at most 19076.5. The above query will return all strapmaterials where the sellingprice is less than or equal to 19076.5, not the average sellingprice. - -To get the correct result, we need to use the AVG function and GROUP BY clause: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5; -```",1.5255217552,llama-70,63,1.014006644713409,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) >= 82848.0,List the strapmaterial which summation of sellingprice is at least 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002151,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0 -```",1.2728919983,llama-70,64,0.9924581312389805,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) <= 82848.0,List the strapmaterial which summation of sellingprice is at most 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002835,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice <= 82848.0; -``` -However, the question seems to be asking for the strapmaterial where the summation of sellingprice is at most 82848.0. In that case, we need to use the SUM function with a GROUP BY clause. Here's the corrected SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0; -```",2.0396735668,llama-70,65,1.0154935168677224,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) >= 8.1,List the modelname which average of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003141,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1; -``` -However, the question asks for the modelname where the average of averagebatterylife is at least 8.1. This implies that there might be multiple entries for the same modelname with different averagebatterylife values. In this case, we need to calculate the average of averagebatterylife for each modelname and then filter the results. Here's the corrected SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1; -```",1.0923097134,llama-70,66,1.0027638852831469,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) <= 8.1,List the modelname which average of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002097,"SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife <= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife <= 8.1; -```",0.4035975933,llama-70,67,1.0097250806614386,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) >= 8.1,List the modelname which summation of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002106,"SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1; -```",1.507789135,llama-70,68,0.945902698211138,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) <= 8.1,List the modelname which summation of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002106,"SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife <= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife <= 8.1; -```",0.4634256363,llama-70,69,0.9258482701787486,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) >= 20712.0,List the modelname which average of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002142,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0 -```",0.4729046822,llama-70,70,1.0276430878255283,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) <= 20712.0,List the modelname which average of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000342,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE sellingprice <= 20712.0; -``` -However, the question asks for the modelname where the average of sellingprice is at most 20712.0. The above SQL code will return modelnames where the sellingprice is at most 20712.0, not the average. - -To get the correct result, we need to use the AVG function and GROUP BY clause. But since the question is not clear about what to average (it seems like it's asking for models where the average selling price of all rows for that model is at most 20712.0), we'll assume that's what's being asked. - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0; -```",1.4160630703,llama-70,71,1.0108372272181219,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) >= 20712.0,List the modelname which summation of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002151,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0; -```",0.4377701283,llama-70,72,1.009435700273818,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) <= 20712.0,List the modelname which summation of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002835,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE sellingprice <= 20712.0; -``` -However, the question seems to be asking for the modelname where the summation of sellingprice is at most 20712.0. In that case, we need to use the SUM function with a GROUP BY clause. Here's the corrected SQL code: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0; -```",0.907075882,llama-70,73,1.0368669199056715,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) >= 20,Find all the country that have at least 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) >= 20;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) >= 20; -```",0.4266450405,llama-70,74,1.0326115395254456,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) <= 20,Find all the country that have at most 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003222,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) <= 20;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) <= 20; -``` - -This SQL code will return all the countries that have at most 20 records in the `salesTransactions` table. - -Here's how it works: -- `GROUP BY country` groups the rows of the table by the `country` column. -- `COUNT(transactionno)` counts the number of rows in each group. -- `HAVING COUNT(transactionno) <= 20` filters the groups to only include those with 20 or fewer rows. - -Note that the `HAVING` clause is used instead of the `WHERE` clause because we're filtering based on an aggregate value (the count of rows in each group), rather than a simple column value.",0.9458642006,llama-70,75,1.0404138966496932,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) >= 1,Find all the date that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003906,"SELECT date, COUNT(*) as num_records -FROM salesTransactions -WHERE date IS NOT NULL -GROUP BY date -HAVING COUNT(*) >= 1;","```sql -SELECT DISTINCT date -FROM salesTransactions -WHERE date IS NOT NULL; -``` -This SQL query will return all the unique dates that have at least one record in the `salesTransactions` table. The `DISTINCT` keyword ensures that each date is only returned once, and the `WHERE` clause filters out any rows with null dates. - -However, if you want to ensure that the date has at least one record (i.e., the date is not null and there is at least one row with that date), the above query is sufficient because it will only return dates that are present in the table. - -If you want to count the number of records for each date, you can use the following query: -```sql -SELECT date, COUNT(*) as num_records -FROM salesTransactions -WHERE date IS NOT NULL -GROUP BY date -HAVING COUNT(*) >= 1; -``` -This query will return the date and the number of records for each date that has at least one record. The `GROUP BY` clause groups the rows by date, and the `HAVING` clause filters the results to only include dates with at least one record.",3.1652421951,llama-70,76,0.0,0.905,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) <= 1,Find all the date that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003348,"SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(transactionno) <= 1;","```sql -SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(transactionno) <= 1; -``` - -This SQL code will return all the dates that have at most 1 record in the `salesTransactions` table. - -Here's how it works: - -- `GROUP BY date` groups the rows of the table by the `date` column. -- `HAVING COUNT(transactionno) <= 1` filters the grouped results to only include the groups that have 1 or fewer rows (i.e., the dates with at most 1 record). - -Note: The `transactionno` column is used in the `COUNT` function because it is likely to be the primary key or a unique identifier for each transaction. If this is not the case, you can use any other column that is guaranteed to be unique for each row.",1.4962148666,llama-70,77,1.0175965613619253,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) >= 1,Find all the transactionno that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002826,"SELECT DISTINCT transactionno -FROM salesTransactions;","```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) >= 1; -``` -This SQL query will return all the `transactionno` that have at least one record in the `salesTransactions` table. - -However, since the condition is to have at least one record, the query can be simplified to: - -```sql -SELECT DISTINCT transactionno -FROM salesTransactions; -``` -This query will return all the unique `transactionno` in the `salesTransactions` table, which by definition have at least one record.",2.1572082043,llama-70,78,0.977723506371984,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) <= 1,Find all the transactionno that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002025,"SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1;","```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1; -```",0.6727392673,llama-70,79,1.0337412977466278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`price`) <= 11.95,List the country which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002052,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95 -```",2.5005750656,llama-70,80,1.0048870091995983,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) >= 238.94,List the country which summation of price is at least 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002061,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94; -```",0.4906721115,llama-70,81,0.9838559009351219,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) <= 238.94,List the country which summation of price is at most 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002061,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94; -```",0.4716570377,llama-70,82,1.0419294979874594,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) >= 15215.25,List the country which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002088,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25; -```",0.4429790974,llama-70,83,1.0334813259353255,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) <= 15215.25,List the country which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002088,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25; -```",0.4679546356,llama-70,84,1.0135565858582143,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) >= 304305.0,List the country which summation of customerno is at least 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002097,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0 -```",0.8601899147,llama-70,85,1.0198155819845172,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) <= 304305.0,List the country which summation of customerno is at most 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002097,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0; -```",0.4494302273,llama-70,86,1.0074922724501945,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) >= 11.95,List the productname which average of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002079,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95 -```",0.5665838718,llama-70,87,1.0017775255316679,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) <= 11.95,List the productname which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002079,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95 -```",2.3894290924,llama-70,88,1.0598524123075785,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) >= 11.95,List the productname which summation of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002088,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95 -```",4.3114404678,llama-70,89,1.0014047406526159,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) <= 11.95,List the productname which summation of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002088,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95; -```",0.5029909611,llama-70,90,1.0000993661029607,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) >= 15215.25,List the productname which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002115,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25; -```",0.5179860592,llama-70,91,1.0757570714791855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) <= 15215.25,List the productname which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002115,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) <= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) <= 15215.25; -```",0.4629180431,llama-70,92,1.0095535114309946,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) >= 15215.25,List the productname which summation of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002124,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25; -```",0.6490504742,llama-70,93,0.9959806041753986,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) <= 15215.25,List the productname which summation of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002124,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25; -```",1.8709564209,llama-70,94,1.0759606085718163,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `brandname` FROM `fitnessTrackers` GROUP BY `brandname` HAVING COUNT(DISTINCT `devicetype`) = (SELECT COUNT(DISTINCT `devicetype`) FROM `fitnessTrackers`),What are the brandname with all the devicetype in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002619,"SELECT DISTINCT brandname, devicetype -FROM fitnessTrackers;","```sql -SELECT brandname, devicetype -FROM fitnessTrackers; -``` -This SQL query will return all the `brandname` and `devicetype` from the `fitnessTrackers` table. - -If you want to get unique combinations of `brandname` and `devicetype`, you can use the `DISTINCT` keyword: -```sql -SELECT DISTINCT brandname, devicetype -FROM fitnessTrackers; -```",0.9649043083,llama-70,95,0.0,0.091,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `devicetype` FROM `fitnessTrackers` GROUP BY `devicetype` HAVING COUNT(DISTINCT `strapmaterial`) = (SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`),What are the devicetype with all the strapmaterial in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT devicetype, strapmaterial -FROM fitnessTrackers;","```sql -SELECT devicetype, strapmaterial -FROM fitnessTrackers; -```",0.6030073166,llama-70,96,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING COUNT(DISTINCT `display`) = (SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`),What are the color with all the display in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001962,"SELECT color -FROM fitnessTrackers -WHERE display IS NOT NULL AND display != '';","```sql -SELECT color -FROM fitnessTrackers -WHERE display IS NOT NULL AND display != ''; -```",1.1615672112,llama-70,97,0.0,0.091,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the transactionno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT transactionno, country -FROM salesTransactions;","```sql -SELECT transactionno, country -FROM salesTransactions; -```",1.9213986397,llama-70,98,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the date with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003249,"SELECT date, GROUP_CONCAT(country) as countries -FROM salesTransactions -GROUP BY date -ORDER BY date;","```sql -SELECT DISTINCT date, country -FROM salesTransactions -ORDER BY date; -``` -This SQL query will return all the unique dates along with their corresponding countries from the `salesTransactions` table. The `DISTINCT` keyword ensures that each date is only listed once, and the `ORDER BY` clause sorts the results by date. - -However, if you want to get all the countries for each date, you might want to use a query like this: - -```sql -SELECT date, GROUP_CONCAT(country) as countries -FROM salesTransactions -GROUP BY date -ORDER BY date; -``` -This query will return each date along with a comma-separated list of all the countries that have transactions on that date. The `GROUP_CONCAT` function concatenates all the countries for each date into a single string.",1.5338051319,llama-70,99,0.0,0.905,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productno` FROM `salesTransactions` GROUP BY `productno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT productno, country -FROM salesTransactions;","```sql -SELECT productno, country -FROM salesTransactions; -```",2.3360545635,llama-70,100,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productname with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000279,"SELECT productname, GROUP_CONCAT(country) as countries -FROM salesTransactions -GROUP BY productname;","```sql -SELECT DISTINCT productname, country -FROM salesTransactions; -``` -This SQL query will return all unique combinations of `productname` and `country` from the `salesTransactions` table. - -If you want to get all the countries for each product, you can use the following query: -```sql -SELECT productname, GROUP_CONCAT(country) as countries -FROM salesTransactions -GROUP BY productname; -``` -This query will return each `productname` along with a comma-separated list of all the `country` values associated with it.",1.3929564953,llama-70,101,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` ASC,Show all data ordered by devicetype in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM fitnessTrackers -ORDER BY devicetype ASC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY devicetype ASC; -```",0.4994680882,llama-70,102,1.0081268636678626,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` DESC,Show all data ordered by devicetype in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM fitnessTrackers -ORDER BY devicetype DESC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY devicetype DESC; -```",0.4195871353,llama-70,103,1.0362670193642567,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` ASC,Show all data ordered by strapmaterial in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001962,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC; -```",0.6406340599,llama-70,104,1.0043954642941892,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` DESC,Show all data ordered by strapmaterial in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001962,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC; -```",0.5622084141,llama-70,105,0.9744239921752068,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` ASC,Project the sellingprice ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC;","```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC; -```",0.552611351,llama-70,106,1.010826515208835,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` DESC,Project the sellingprice ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC;","```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC; -```",1.6709742546,llama-70,107,1.0437920064029644,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` ASC,Project the color ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001926,"SELECT color -FROM fitnessTrackers -ORDER BY color ASC;","```sql -SELECT color -FROM fitnessTrackers -ORDER BY color ASC; -```",0.4755780697,llama-70,108,1.0065060049013617,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` DESC,Project the color ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001926,"SELECT color -FROM fitnessTrackers -ORDER BY color DESC;","```sql -SELECT color -FROM fitnessTrackers -ORDER BY color DESC; -```",0.4915621281,llama-70,109,1.0085750609640687,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` ASC,Show all data ordered by transactionno in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001944,"SELECT * -FROM salesTransactions -ORDER BY transactionno ASC;","```sql -SELECT * -FROM salesTransactions -ORDER BY transactionno ASC; -```",2.8688127995,llama-70,110,1.0150808476377562,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` DESC,Show all data ordered by transactionno in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001944,"SELECT * -FROM salesTransactions -ORDER BY transactionno DESC;","```sql -SELECT * -FROM salesTransactions -ORDER BY transactionno DESC; -```",3.0103809834,llama-70,111,0.999543716314799,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` ASC,Show all data ordered by price in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001926,"SELECT * -FROM salesTransactions -ORDER BY price ASC;","```sql -SELECT * -FROM salesTransactions -ORDER BY price ASC; -```",0.5170814991,llama-70,112,1.0212648455516364,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` DESC,Show all data ordered by price in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001926,"SELECT * -FROM salesTransactions -ORDER BY price DESC;","```sql -SELECT * -FROM salesTransactions -ORDER BY price DESC; -```",0.4865407944,llama-70,113,0.9907897550061103,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` ASC,Project the productno ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001935,"SELECT productno -FROM salesTransactions -ORDER BY productno ASC;","```sql -SELECT productno -FROM salesTransactions -ORDER BY productno ASC; -```",0.5135285854,llama-70,114,1.0409553592382286,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` DESC,Project the productno ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001935,"SELECT productno -FROM salesTransactions -ORDER BY productno DESC;","```sql -SELECT productno -FROM salesTransactions -ORDER BY productno DESC; -```",0.4158811569,llama-70,115,1.0056777990559918,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` ASC,Project the quantity ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001908,"SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC;","```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC; -```",0.949131012,llama-70,116,1.020732445718617,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` DESC,Project the quantity ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001908,"SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC;","```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC; -```",1.0001041889,llama-70,117,1.027798814922581,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `originalprice` FROM `fitnessTrackers`,Show all originalprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT originalprice -FROM fitnessTrackers;","```sql -SELECT originalprice -FROM fitnessTrackers; -```",0.4712765217,llama-70,118,1.0057887076779488,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `averagebatterylife` FROM `fitnessTrackers`,Show all averagebatterylife in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001917,"SELECT averagebatterylife -FROM fitnessTrackers;","```sql -SELECT averagebatterylife -FROM fitnessTrackers; -```",0.35932374,llama-70,119,1.0061713185682932,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `devicetype` FROM `fitnessTrackers`,Show all devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT devicetype -FROM fitnessTrackers;","```sql -SELECT devicetype -FROM fitnessTrackers; -```",1.9864521027,llama-70,120,1.0192342007875834,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `display` FROM `fitnessTrackers`,Show all display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001845,"SELECT display -FROM fitnessTrackers;","```sql -SELECT display -FROM fitnessTrackers; -```",0.4316415787,llama-70,121,1.0024334173974867,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `brandname` FROM `fitnessTrackers`,Show all brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT brandname -FROM fitnessTrackers;","```sql -SELECT brandname -FROM fitnessTrackers; -```",0.4182782173,llama-70,122,1.0138544365382065,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-ALL,SELECT * FROM `fitnessTrackers`,Show all the rows in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001854,"SELECT * -FROM fitnessTrackers;","```sql -SELECT * -FROM fitnessTrackers; -```",1.7166821957,llama-70,123,1.0564642024614328,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,SELECT `sellingprice` FROM `fitnessTrackers`,Show all sellingprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001863,"SELECT sellingprice -FROM fitnessTrackers;","```sql -SELECT sellingprice -FROM fitnessTrackers; -```",0.4007434845,llama-70,124,0.9999177545124005,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `averagebatterylife` FROM `fitnessTrackers`","Show all strapmaterial, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001971,"SELECT strapmaterial, averagebatterylife -FROM fitnessTrackers;","```sql -SELECT strapmaterial, averagebatterylife -FROM fitnessTrackers; -```",0.433185339,llama-70,125,1.0067054264597484,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `sellingprice`, `modelname`, `color` FROM `fitnessTrackers`","Show all sellingprice, modelname, color in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT sellingprice, modelname, color -FROM fitnessTrackers;","```sql -SELECT sellingprice, modelname, color -FROM fitnessTrackers; -```",0.5483498573,llama-70,126,1.0223891682107906,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `modelname`, `brandname`, `color`, `averagebatterylife` FROM `fitnessTrackers`","Show all modelname, brandname, color, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002061,"SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers;","```sql -SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers; -```",1.2034065723,llama-70,127,1.0028655514589058,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `devicetype`, `modelname`, `brandname`, `averagebatterylife`, `display` FROM `fitnessTrackers`","Show all devicetype, modelname, brandname, averagebatterylife, display in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002133,"SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers;","```sql -SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers; -```",0.4550163746,llama-70,128,1.0523059761425655,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, `strapmaterial` FROM `fitnessTrackers`","Show all rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002295,"SELECT - rating, - averagebatterylife, - originalprice, - sellingprice, - brandname, - strapmaterial -FROM - fitnessTrackers;","```sql -SELECT - rating, - averagebatterylife, - originalprice, - sellingprice, - brandname, - strapmaterial -FROM - fitnessTrackers; -```",0.5762789249,llama-70,129,1.0142642453088466,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `rating`, `averagebatterylife`, `brandname`, `display`, `sellingprice`, `devicetype` FROM `fitnessTrackers`","Show all strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002367,"SELECT - strapmaterial, - rating, - averagebatterylife, - brandname, - display, - sellingprice, - devicetype -FROM - fitnessTrackers;","```sql -SELECT - strapmaterial, - rating, - averagebatterylife, - brandname, - display, - sellingprice, - devicetype -FROM - fitnessTrackers; -```",1.7165644169,llama-70,130,1.057210689750245,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, `modelname` FROM `fitnessTrackers`","Show all averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002439,"SELECT - averagebatterylife, - devicetype, - strapmaterial, - brandname, - rating, - color, - sellingprice, - modelname -FROM - fitnessTrackers;","```sql -SELECT - averagebatterylife, - devicetype, - strapmaterial, - brandname, - rating, - color, - sellingprice, - modelname -FROM - fitnessTrackers; -```",2.881680727,llama-70,131,1.0078216972711278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `color`, `modelname`, `averagebatterylife`, `strapmaterial`, `display`, `brandname`, `sellingprice`, `devicetype`, `originalprice` FROM `fitnessTrackers`","Show all color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002511,"SELECT - color, - modelname, - averagebatterylife, - strapmaterial, - display, - brandname, - sellingprice, - devicetype, - originalprice -FROM - fitnessTrackers;","```sql -SELECT - color, - modelname, - averagebatterylife, - strapmaterial, - display, - brandname, - sellingprice, - devicetype, - originalprice -FROM - fitnessTrackers; -```",0.6635699272,llama-70,132,1.0374211799849455,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productno` FROM `salesTransactions`,Show all productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001845,"SELECT productno -FROM salesTransactions;","```sql -SELECT productno -FROM salesTransactions; -```",1.5825395584,llama-70,133,1.013329014832156,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `country` FROM `salesTransactions`,Show all country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001827,"SELECT country -FROM salesTransactions;","```sql -SELECT country -FROM salesTransactions; -```",0.4057703018,llama-70,134,1.0278334863489542,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `transactionno` FROM `salesTransactions`,Show all transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001845,"SELECT transactionno -FROM salesTransactions;","```sql -SELECT transactionno -FROM salesTransactions; -```",0.7084364891,llama-70,135,1.0172999534570213,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `price` FROM `salesTransactions`,Show all price in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001827,"SELECT price -FROM salesTransactions;","```sql -SELECT price -FROM salesTransactions; -```",0.4969084263,llama-70,136,0.9939625253575817,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productname` FROM `salesTransactions`,Show all productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001845,"SELECT productname -FROM salesTransactions;","```sql -SELECT productname -FROM salesTransactions; -```",1.2015810013,llama-70,137,1.0358148984986353,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-ALL,SELECT * FROM `salesTransactions`,Show all the rows in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001836,"SELECT * -FROM salesTransactions;","```sql -SELECT * -FROM salesTransactions; -```",1.0234515667,llama-70,138,1.0061073273549856,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,SELECT `quantity` FROM `salesTransactions`,Show all quantity in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001827,"SELECT quantity -FROM salesTransactions;","```sql -SELECT quantity -FROM salesTransactions; -```",0.5761787891,llama-70,139,1.034846842988646,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `productno` FROM `salesTransactions`","Show all price, productno in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT price, productno -FROM salesTransactions;","```sql -SELECT price, productno -FROM salesTransactions; -```",0.7502667904,llama-70,140,1.0055098411924337,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `customerno`, `date` FROM `salesTransactions`","Show all price, customerno, date in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001917,"SELECT price, customerno, date -FROM salesTransactions;","```sql -SELECT price, customerno, date -FROM salesTransactions; -```",0.4554772377,llama-70,141,1.0012017796648796,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `customerno`, `quantity`, `productname` FROM `salesTransactions`","Show all productno, customerno, quantity, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001989,"SELECT productno, customerno, quantity, productname -FROM salesTransactions;","```sql -SELECT productno, customerno, quantity, productname -FROM salesTransactions; -```",0.6333248615,llama-70,142,1.0194787662606282,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `date`, `quantity`, `productno`, `price`, `country` FROM `salesTransactions`","Show all date, quantity, productno, price, country in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001989,"SELECT date, quantity, productno, price, country -FROM salesTransactions;","```sql -SELECT date, quantity, productno, price, country -FROM salesTransactions; -```",2.6609714031,llama-70,143,1.0078234189066955,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `price`, `country`, `customerno`, `transactionno`, `productname` FROM `salesTransactions`","Show all productno, price, country, customerno, transactionno, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002079,"SELECT productno, price, country, customerno, transactionno, productname -FROM salesTransactions;","```sql -SELECT productno, price, country, customerno, transactionno, productname -FROM salesTransactions; -```",0.978292942,llama-70,144,1.0146825776221327,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity` FROM `salesTransactions`","Show all price, date, transactionno, productno, customerno, country, quantity in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002097,"SELECT price, date, transactionno, productno, customerno, country, quantity -FROM salesTransactions;","```sql -SELECT price, date, transactionno, productno, customerno, country, quantity -FROM salesTransactions; -```",1.8312218189,llama-70,145,1.0373947992293588,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` == 'White ',Show the data of the table fitnessTrackers where color is equal to White ,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT * -FROM fitnessTrackers -WHERE color = 'White';","```sql -SELECT * -FROM fitnessTrackers -WHERE color = 'White'; -```",1.4633250237,llama-70,146,0.0,0.1,0.1,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color is different from Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT * -FROM fitnessTrackers -WHERE color != 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color != 'Black'; -```",0.411854744,llama-70,147,1.0468143411118738,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color not equal to Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001953,"SELECT * -FROM fitnessTrackers -WHERE color != 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color != 'Black'; -```",0.6200470924,llama-70,148,1.0172404023446018,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` == 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is equal to Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000207,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane'; -```",0.5218448639,llama-70,149,1.0331303288444418,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is different from Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000207,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Thermoplastic polyurethane';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Thermoplastic polyurethane'; -```",1.1960337162,llama-70,150,1.0164484966489011,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Aluminium',Show the data of the table fitnessTrackers where strapmaterial not equal to Aluminium,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium'; -```",3.1201338768,llama-70,151,1.0362379132473838,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` == 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is equal to TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display'; -```",0.7949652672,llama-70,152,0.974622515437519,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is different from TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT * -FROM fitnessTrackers -WHERE display != 'TFT-LCD Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display != 'TFT-LCD Display'; -```",1.3753092289,llama-70,153,0.9770642709395048,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'AMOLED Display',Show the data of the table fitnessTrackers where display not equal to AMOLED Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002007,"SELECT * -FROM fitnessTrackers -WHERE display != 'AMOLED Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display != 'AMOLED Display'; -```",1.4583342075,llama-70,154,1.0098862448749502,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `averagebatterylife` > 14,Show the data of the table fitnessTrackers where averagebatterylife is greater than 14,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14;","```sql -SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14; -```",0.5534639359,llama-70,155,0.9895418186616269,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` > 45690.0,Show the data of the table fitnessTrackers where sellingprice is greater than 45690.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT * -FROM fitnessTrackers -WHERE sellingprice > 45690.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE sellingprice > 45690.0; -```",0.6110599041,llama-70,156,1.0334536933623164,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` < 46990.0,Show the data of the table fitnessTrackers where sellingprice is less than 46990.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0; -```",0.6819293499,llama-70,157,1.0050885105444844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` > 4.6,Show the data of the table fitnessTrackers where rating is greater than 4.6,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001998,"SELECT * -FROM fitnessTrackers -WHERE rating > 4.6;","```sql -SELECT * -FROM fitnessTrackers -WHERE rating > 4.6; -```",0.4408643246,llama-70,158,1.0172049182518252,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0,Show the data of the table fitnessTrackers where rating is less than 4.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001998,"SELECT * -FROM fitnessTrackers -WHERE rating < 4.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE rating < 4.0; -```",0.4178001881,llama-70,159,1.0038560858070482,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` == '12/1/2018',Show the data of the table salesTransactions where date is equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT * -FROM salesTransactions -WHERE date = '12/1/2018';","```sql -SELECT * -FROM salesTransactions -WHERE date = '12/1/2018'; -```",1.772944212,llama-70,160,1.0043815401276388,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '9/15/2019',Show the data of the table salesTransactions where date is different from 9/15/2019,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT * -FROM salesTransactions -WHERE date != '9/15/2019';","```sql -SELECT * -FROM salesTransactions -WHERE date != '9/15/2019'; -```",0.4102351665,llama-70,161,1.0161214985316036,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '12/1/2018',Show the data of the table salesTransactions where date not equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002034,"SELECT * -FROM salesTransactions -WHERE date != '12/1/2018';","```sql -SELECT * -FROM salesTransactions -WHERE date != '12/1/2018'; -```",0.4747951031,llama-70,162,1.0026183758405165,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` == '566959',Show the data of the table salesTransactions where transactionno is equal to 566959,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM salesTransactions -WHERE transactionno = '566959';","```sql -SELECT * -FROM salesTransactions -WHERE transactionno = '566959'; -```",1.4529285431,llama-70,163,0.9791169484628852,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '579557',Show the data of the table salesTransactions where transactionno is different from 579557,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM salesTransactions -WHERE transactionno != '579557';","```sql -SELECT * -FROM salesTransactions -WHERE transactionno != '579557'; -```",0.5731620789,llama-70,164,1.0098101209935955,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '549047',Show the data of the table salesTransactions where transactionno not equal to 549047,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM salesTransactions -WHERE transactionno != '549047';","```sql -SELECT * -FROM salesTransactions -WHERE transactionno != '549047'; -```",0.6657509804,llama-70,165,1.0447520069760443,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` == 'Metal-4-Hook-Hanger-French-Chateau',Show the data of the table salesTransactions where productname is equal to Metal-4-Hook-Hanger-French-Chateau,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002133,"SELECT * -FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';","```sql -SELECT * -FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau'; -```",0.4718892574,llama-70,166,1.0002515540433596,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Skulls-Water-Transfer-Tattoos',Show the data of the table salesTransactions where productname is different from Skulls-Water-Transfer-Tattoos,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002097,"SELECT * -FROM salesTransactions -WHERE productname != 'Skulls-Water-Transfer-Tattoos';","```sql -SELECT * -FROM salesTransactions -WHERE productname != 'Skulls-Water-Transfer-Tattoos'; -```",1.7922606468,llama-70,167,1.0296739750505528,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Pink-Party-Bags',Show the data of the table salesTransactions where productname not equal to Pink-Party-Bags,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002025,"SELECT * -FROM salesTransactions -WHERE productname != 'Pink-Party-Bags';","```sql -SELECT * -FROM salesTransactions -WHERE productname != 'Pink-Party-Bags'; -```",1.3450005054,llama-70,168,1.005969372722165,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` > 13.27,Show the data of the table salesTransactions where price is greater than 13.27,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM salesTransactions -WHERE price > 13.27;","```sql -SELECT * -FROM salesTransactions -WHERE price > 13.27; -```",2.6295733452,llama-70,169,1.026874966019072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` < 6.19,Show the data of the table salesTransactions where price is less than 6.19,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000198,"SELECT * -FROM salesTransactions -WHERE price < 6.19;","```sql -SELECT * -FROM salesTransactions -WHERE price < 6.19; -```",0.4254505634,llama-70,170,0.9984294229144859,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` > 2,Show the data of the table salesTransactions where quantity is greater than 2,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001944,"SELECT * -FROM salesTransactions -WHERE quantity > 2;","```sql -SELECT * -FROM salesTransactions -WHERE quantity > 2; -```",0.5193397999,llama-70,171,1.0027281181618568,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` < 1,Show the data of the table salesTransactions where quantity is less than 1,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001944,"SELECT * -FROM salesTransactions -WHERE quantity < 1;","```sql -SELECT * -FROM salesTransactions -WHERE quantity < 1; -```",1.1202077866,llama-70,172,1.0446716163996486,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` > 14001.0,Show the data of the table salesTransactions where customerno is greater than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT * -FROM salesTransactions -WHERE customerno > 14001.0;","```sql -SELECT * -FROM salesTransactions -WHERE customerno > 14001.0; -```",0.4537174702,llama-70,173,0.9976200988813788,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` < 14001.0,Show the data of the table salesTransactions where customerno is less than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0002016,"SELECT * -FROM salesTransactions -WHERE customerno < 14001.0;","```sql -SELECT * -FROM salesTransactions -WHERE customerno < 14001.0; -```",0.5844724178,llama-70,174,1.0326559821598125,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`,How many different strapmaterial are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001917,"SELECT COUNT(DISTINCT strapmaterial) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT strapmaterial) -FROM fitnessTrackers; -```",0.5924198627,llama-70,175,1.0226889817711684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `brandname`) FROM `fitnessTrackers`,How many different brandname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001917,"SELECT COUNT(DISTINCT brandname) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT brandname) -FROM fitnessTrackers; -```",1.6072142124,llama-70,176,1.0027200970759929,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `modelname`) FROM `fitnessTrackers`,How many different modelname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001917,"SELECT COUNT(DISTINCT modelname) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT modelname) -FROM fitnessTrackers; -```",2.8061850071,llama-70,177,1.039441878644995,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `color`) FROM `fitnessTrackers`,How many different color are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT COUNT(DISTINCT color) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT color) -FROM fitnessTrackers; -```",2.643458128,llama-70,178,0.9964064819196174,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`,How many different display are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT COUNT(DISTINCT display) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT display) -FROM fitnessTrackers; -```",0.9924473763,llama-70,179,0.9987354095119306,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`rating`) FROM `fitnessTrackers`,Find the maximum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT MAX(rating) -FROM fitnessTrackers;","```sql -SELECT MAX(rating) -FROM fitnessTrackers; -```",0.754982233,llama-70,180,1.0116500879780879,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`rating`) FROM `fitnessTrackers`,Find the minimum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT MIN(rating) -FROM fitnessTrackers;","```sql -SELECT MIN(rating) -FROM fitnessTrackers; -```",3.5709731579,llama-70,181,1.0312843606862914,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`rating`) FROM `fitnessTrackers`,Find the average rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT AVG(rating) -FROM fitnessTrackers;","```sql -SELECT AVG(rating) -FROM fitnessTrackers; -```",0.4706885815,llama-70,182,0.9870655299709893,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`originalprice`) FROM `fitnessTrackers`,Find the maximum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000189,"SELECT MAX(originalprice) -FROM fitnessTrackers;","```sql -SELECT MAX(originalprice) -FROM fitnessTrackers; -```",2.1441588402,llama-70,183,0.9872303516449871,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`originalprice`) FROM `fitnessTrackers`,Find the minimum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000189,"SELECT MIN(originalprice) -FROM fitnessTrackers;","```sql -SELECT MIN(originalprice) -FROM fitnessTrackers; -```",0.9846739769,llama-70,184,1.0243520886242738,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`originalprice`) FROM `fitnessTrackers`,Find the average originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000189,"SELECT AVG(originalprice) -FROM fitnessTrackers;","```sql -SELECT AVG(originalprice) -FROM fitnessTrackers; -```",2.4804611206,llama-70,185,1.013352629469765,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `transactionno`) FROM `salesTransactions`,How many different transactionno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT COUNT(DISTINCT transactionno) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT transactionno) -FROM salesTransactions; -```",0.5165297985,llama-70,186,1.029892546331215,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `date`) FROM `salesTransactions`,How many different date are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT COUNT(DISTINCT date) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT date) -FROM salesTransactions; -```",0.4383561611,llama-70,187,1.0081834664133522,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productno`) FROM `salesTransactions`,How many different productno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT COUNT(DISTINCT productno) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT productno) -FROM salesTransactions; -```",0.4730613232,llama-70,188,1.000911396932761,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productname`) FROM `salesTransactions`,How many different productname are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001899,"SELECT COUNT(DISTINCT productname) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT productname) -FROM salesTransactions; -```",0.5245289803,llama-70,189,1.0483394179348782,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`,How many different country are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001881,"SELECT COUNT(DISTINCT country) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT country) -FROM salesTransactions; -```",0.8406322002,llama-70,190,0.9885433309599887,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`price`) FROM `salesTransactions`,Find the maximum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001854,"SELECT MAX(price) -FROM salesTransactions;","```sql -SELECT MAX(price) -FROM salesTransactions; -```",2.6228721142,llama-70,191,1.0079339129815381,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`price`) FROM `salesTransactions`,Find the minimum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001854,"SELECT MIN(price) -FROM salesTransactions;","```sql -SELECT MIN(price) -FROM salesTransactions; -```",1.3616378307,llama-70,192,1.0167915812259274,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`price`) FROM `salesTransactions`,Find the average price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001854,"SELECT AVG(price) -FROM salesTransactions;","```sql -SELECT AVG(price) -FROM salesTransactions; -```",0.6122443676,llama-70,193,1.0248977166676643,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`customerno`) FROM `salesTransactions`,Find the maximum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001872,"SELECT MAX(customerno) -FROM salesTransactions;","```sql -SELECT MAX(customerno) -FROM salesTransactions; -```",0.4897108078,llama-70,194,1.0029633263967153,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`customerno`) FROM `salesTransactions`,Find the minimum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001872,"SELECT MIN(customerno) -FROM salesTransactions;","```sql -SELECT MIN(customerno) -FROM salesTransactions; -```",0.4063534737,llama-70,195,1.0919104874678438,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`customerno`) FROM `salesTransactions`,Find the average customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001872,"SELECT AVG(customerno) -FROM salesTransactions;","```sql -SELECT AVG(customerno) -FROM salesTransactions; -```",0.4528675079,llama-70,196,1.0063409907034477,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paymenttype` FROM `accountFraud`,Show the different paymenttype in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT DISTINCT paymenttype -FROM accountFraud;","```sql -SELECT DISTINCT paymenttype -FROM accountFraud; -```",0.4420821667,llama-70,197,1.0392769406511302,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `housingstatus` FROM `accountFraud`,Show the different housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT DISTINCT housingstatus -FROM accountFraud;","```sql -SELECT DISTINCT housingstatus -FROM accountFraud; -```",0.4586343765,llama-70,198,1.0204556568842016,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `deviceos` FROM `accountFraud`,Show the different deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT DISTINCT deviceos -FROM accountFraud;","```sql -SELECT DISTINCT deviceos -FROM accountFraud; -```",0.8724958897,llama-70,199,1.0260868424823915,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `emailisfree` FROM `accountFraud`,Show the different emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002196,"SELECT DISTINCT emailisfree -FROM accountFraud;","```sql -SELECT DISTINCT emailisfree -FROM accountFraud; -```",0.5359914303,llama-70,200,1.0155065267966865,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hasothercards` FROM `accountFraud`,Show the different hasothercards in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002196,"SELECT DISTINCT hasothercards -FROM accountFraud;","```sql -SELECT DISTINCT hasothercards -FROM accountFraud; -```",0.5208449364,llama-70,201,1.0075478228846069,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `customerid` FROM `latePayment`,Show the different customerid in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000216,"SELECT DISTINCT customerid -FROM latePayment;","```sql -SELECT DISTINCT customerid -FROM latePayment; -```",0.4403231144,llama-70,202,1.0412032069386175,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `invoicedate` FROM `latePayment`,Show the different invoicedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT DISTINCT invoicedate -FROM latePayment;","```sql -SELECT DISTINCT invoicedate -FROM latePayment; -```",0.8419382572,llama-70,203,0.9893040872733831,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `duedate` FROM `latePayment`,Show the different duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT DISTINCT duedate -FROM latePayment;","```sql -SELECT DISTINCT duedate -FROM latePayment; -```",0.4897847176,llama-70,204,0.997932334557462,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paperlessbill` FROM `latePayment`,Show the different paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT DISTINCT paperlessbill -FROM latePayment;","```sql -SELECT DISTINCT paperlessbill -FROM latePayment; -```",0.4533424377,llama-70,205,1.0255409994572564,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `disputed` FROM `latePayment`,Show the different disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002142,"SELECT DISTINCT disputed -FROM latePayment;","```sql -SELECT DISTINCT disputed -FROM latePayment; -```",0.4490690231,llama-70,206,1.001924882694512,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `employmentstatus`, COUNT(*) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT - employmentstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - employmentstatus; -```",0.4858102798,llama-70,207,1.0198840696790392,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `deviceos`, COUNT(*) FROM `accountFraud` GROUP BY `deviceos`","For each deviceos, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT - deviceos, - COUNT(*) as count -FROM - accountFraud -GROUP BY - deviceos;","```sql -SELECT - deviceos, - COUNT(*) as count -FROM - accountFraud -GROUP BY - deviceos; -```",0.4705445766,llama-70,208,1.0102544466466263,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `emailisfree`, COUNT(*) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002394,"SELECT - emailisfree, - COUNT(*) as count -FROM - accountFraud -GROUP BY - emailisfree","```sql -SELECT - emailisfree, - COUNT(*) as count -FROM - accountFraud -GROUP BY - emailisfree -```",0.4672441483,llama-70,209,1.0048737562131866,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `hasothercards`, COUNT(*) FROM `accountFraud` GROUP BY `hasothercards`","For each hasothercards, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002394,"SELECT - hasothercards, - COUNT(*) as count -FROM - accountFraud -GROUP BY - hasothercards","```sql -SELECT - hasothercards, - COUNT(*) as count -FROM - accountFraud -GROUP BY - hasothercards -```",0.4704005718,llama-70,210,0.9989859095282744,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `housingstatus`, COUNT(*) FROM `accountFraud` GROUP BY `housingstatus`","For each housingstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT - housingstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - housingstatus;","```sql -SELECT - housingstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - housingstatus; -```",0.8849306107,llama-70,211,1.0154426106717134,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002421,"SELECT emailisfree, MIN(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MIN(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY emailisfree; -```",0.4852426052,llama-70,212,1.0004249982449913,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002421,"SELECT emailisfree, MAX(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MAX(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY emailisfree; -```",0.5030405521,llama-70,213,1.0013370301868376,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002574,"SELECT - emailisfree, - AVG(dateofbirthdistinctemails4w) as average_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - AVG(dateofbirthdistinctemails4w) as average_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree; -```",0.5658195019,llama-70,214,1.0349873448463014,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002574,"SELECT - emailisfree, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree; -```",0.6395788193,llama-70,215,1.0442004710696149,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002349,"SELECT emailisfree, MIN(sessionlengthminutes) -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MIN(sessionlengthminutes) -FROM accountFraud -GROUP BY emailisfree; -```",0.6006457806,llama-70,216,0.990090338570055,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002385,"SELECT emailisfree, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY emailisfree; -```",0.5712203979,llama-70,217,1.0043143956482377,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002457,"SELECT - emailisfree, - AVG(sessionlengthminutes) as average_session_length -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - AVG(sessionlengthminutes) as average_session_length -FROM - accountFraud -GROUP BY - emailisfree; -```",0.6069486141,llama-70,218,1.0071826284689431,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002457,"SELECT - emailisfree, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - emailisfree; -```",0.5578813553,llama-70,219,1.0062333893173798,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002547,"SELECT - employmentstatus, - MIN(dateofbirthdistinctemails4w) as min_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - MIN(dateofbirthdistinctemails4w) as min_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -```",0.7769525051,llama-70,220,1.0089735042118053,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002394,"SELECT employmentstatus, MAX(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, MAX(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY employmentstatus; -```",0.5089101791,llama-70,221,1.0158540398589744,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002547,"SELECT - employmentstatus, - AVG(dateofbirthdistinctemails4w) AS average_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - AVG(dateofbirthdistinctemails4w) AS average_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -```",0.981200695,llama-70,222,0.9989162289021651,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002547,"SELECT - employmentstatus, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -```",1.5171940327,llama-70,223,1.019498216157038,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT - employmentstatus, - MIN(sessionlengthminutes) as min_session_length -FROM - accountFraud -GROUP BY - employmentstatus","```sql -SELECT - employmentstatus, - MIN(sessionlengthminutes) as min_session_length -FROM - accountFraud -GROUP BY - employmentstatus -```",0.7149779797,llama-70,224,1.0230472874756165,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002358,"SELECT employmentstatus, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY employmentstatus; -```",0.5734233856,llama-70,225,1.0067651068724297,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT - employmentstatus, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -```",0.537245512,llama-70,226,1.0330977104563814,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT - employmentstatus, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -```",0.9716444016,llama-70,227,1.0138620478438445,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessdate`, COUNT(*) FROM `latePayment` GROUP BY `paperlessdate`","For each paperlessdate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002376,"SELECT - paperlessdate, - COUNT(*) as count -FROM - latePayment -GROUP BY - paperlessdate","```sql -SELECT - paperlessdate, - COUNT(*) as count -FROM - latePayment -GROUP BY - paperlessdate -```",0.5590736866,llama-70,228,1.023975463326397,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessbill`, COUNT(*) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002376,"SELECT - paperlessbill, - COUNT(*) as count -FROM - latePayment -GROUP BY - paperlessbill","```sql -SELECT - paperlessbill, - COUNT(*) as count -FROM - latePayment -GROUP BY - paperlessbill -```",0.4878799915,llama-70,229,1.0374310396829862,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `customerid`, COUNT(*) FROM `latePayment` GROUP BY `customerid`","For each customerid, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002358,"SELECT - customerid, - COUNT(*) as num_rows -FROM - latePayment -GROUP BY - customerid","```sql -SELECT - customerid, - COUNT(*) as num_rows -FROM - latePayment -GROUP BY - customerid -```",0.6308717728,llama-70,230,0.9994460801790137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `duedate`, COUNT(*) FROM `latePayment` GROUP BY `duedate`","For each duedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002376,"SELECT - duedate, - COUNT(*) as count -FROM - latePayment -GROUP BY - duedate","```sql -SELECT - duedate, - COUNT(*) as count -FROM - latePayment -GROUP BY - duedate -```",0.5199742317,llama-70,231,1.0061582147125157,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `invoicedate`, COUNT(*) FROM `latePayment` GROUP BY `invoicedate`","For each invoicedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002304,"SELECT invoicedate, COUNT(*) as count -FROM latePayment -GROUP BY invoicedate","```sql -SELECT invoicedate, COUNT(*) as count -FROM latePayment -GROUP BY invoicedate -```",1.4100255966,llama-70,232,1.0249111058728844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002403,"SELECT paperlessbill, MIN(daystosettle) as min_daystosettle -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MIN(daystosettle) as min_daystosettle -FROM latePayment -GROUP BY paperlessbill; -```",0.5270726681,llama-70,233,1.0107158148699122,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002403,"SELECT paperlessbill, MAX(daystosettle) as max_daystosettle -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MAX(daystosettle) as max_daystosettle -FROM latePayment -GROUP BY paperlessbill; -```",1.0710382462,llama-70,234,1.0090093607826391,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002475,"SELECT - paperlessbill, - AVG(daystosettle) as average_daystosettle -FROM - latePayment -GROUP BY - paperlessbill;","```sql -SELECT - paperlessbill, - AVG(daystosettle) as average_daystosettle -FROM - latePayment -GROUP BY - paperlessbill; -```",0.5489840508,llama-70,235,0.9790044668479487,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002475,"SELECT - paperlessbill, - SUM(daystosettle) as total_daystosettle -FROM - latePayment -GROUP BY - paperlessbill","```sql -SELECT - paperlessbill, - SUM(daystosettle) as total_daystosettle -FROM - latePayment -GROUP BY - paperlessbill -```",1.2136116028,llama-70,236,1.0248991885258585,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002358,"SELECT paperlessbill, MIN(dayslate) as min_days_late -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MIN(dayslate) as min_days_late -FROM latePayment -GROUP BY paperlessbill; -```",0.5838646889,llama-70,237,1.0157094910097615,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002358,"SELECT paperlessbill, MAX(dayslate) as max_days_late -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MAX(dayslate) as max_days_late -FROM latePayment -GROUP BY paperlessbill; -```",1.230717659,llama-70,238,1.0034861823404684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT - paperlessbill, - AVG(dayslate) as average_days_late -FROM - latePayment -GROUP BY - paperlessbill","```sql -SELECT - paperlessbill, - AVG(dayslate) as average_days_late -FROM - latePayment -GROUP BY - paperlessbill -```",0.5926804543,llama-70,239,1.0071654540571793,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT - paperlessbill, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - paperlessbill","```sql -SELECT - paperlessbill, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - paperlessbill -```",0.5748784542,llama-70,240,1.0119887081081231,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002376,"SELECT customerid, MIN(daystosettle) as min_daystosettle -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MIN(daystosettle) as min_daystosettle -FROM latePayment -GROUP BY customerid; -```",0.4989647865,llama-70,241,1.208418669267839,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002376,"SELECT customerid, MAX(daystosettle) as max_daystosettle -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MAX(daystosettle) as max_daystosettle -FROM latePayment -GROUP BY customerid; -```",0.5428447723,llama-70,242,1.0110455950567894,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002448,"SELECT - customerid, - AVG(daystosettle) AS average_daystosettle -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - AVG(daystosettle) AS average_daystosettle -FROM - latePayment -GROUP BY - customerid; -```",0.5153470039,llama-70,243,0.9897099614921743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002448,"SELECT - customerid, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - customerid; -```",0.9629855156,llama-70,244,1.0281168053508671,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002331,"SELECT customerid, MIN(dayslate) as min_days_late -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MIN(dayslate) as min_days_late -FROM latePayment -GROUP BY customerid; -```",0.4802260399,llama-70,245,0.9567026634362605,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002331,"SELECT customerid, MAX(dayslate) as max_days_late -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MAX(dayslate) as max_days_late -FROM latePayment -GROUP BY customerid; -```",0.892193079,llama-70,246,1.039554908342876,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002403,"SELECT - customerid, - AVG(dayslate) AS average_days_late -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - AVG(dayslate) AS average_days_late -FROM - latePayment -GROUP BY - customerid; -```",0.5075371265,llama-70,247,1.007046295114531,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002403,"SELECT - customerid, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - customerid; -```",0.773799181,llama-70,248,1.0525813232044618,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) >= 5,Find all the paymenttype that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000234,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5; -```",0.464632988,llama-70,249,1.0043902621777554,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) <= 5,Find all the paymenttype that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000234,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5; -```",0.4549827576,llama-70,250,1.0093477658683765,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) >= 5,Find all the deviceos that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002358,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(deviceos) >= 5;","```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(deviceos) >= 5; -```",1.2279400826,llama-70,251,1.0001196637184697,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) <= 5,Find all the deviceos that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000234,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5;","```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5; -```",0.4945130348,llama-70,252,0.9892661877999859,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) >= 10,Find all the emailisfree that have at least 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002394,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(emailisfree) >= 10;","```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(emailisfree) >= 10; -```",0.4226117134,llama-70,253,1.0189546515499857,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) <= 10,Find all the emailisfree that have at most 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002394,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(emailisfree) <= 10;","```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(emailisfree) <= 10; -```",0.9756793976,llama-70,254,0.9997889630855203,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) >= 141.44,List the hasothercards which average of creditriskscore is at least 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002484,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44; -```",1.4404916763,llama-70,255,1.025333608821202,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) <= 141.44,List the hasothercards which average of creditriskscore is at most 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002484,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) <= 141.44;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) <= 141.44; -```",0.4404447079,llama-70,256,0.9961406560423897,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) >= 1144.5,List the hasothercards which summation of creditriskscore is at least 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002511,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5; -```",0.4828205109,llama-70,257,1.0021965723095354,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) <= 1144.5,List the hasothercards which summation of creditriskscore is at most 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002511,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5; -```",0.4205219746,llama-70,258,0.9967400629293127,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) >= 7.85,List the hasothercards which average of sessionlengthminutes is at least 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002457,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85; -```",0.5063884258,llama-70,259,1.029356414582447,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) <= 7.85,List the hasothercards which average of sessionlengthminutes is at most 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002457,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85; -```",0.8808453083,llama-70,260,1.0051915740505073,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) >= 58.5,List the hasothercards which summation of sessionlengthminutes is at least 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002466,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5 -```",0.471278429,llama-70,261,1.0019174309493009,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) <= 58.5,List the hasothercards which summation of sessionlengthminutes is at most 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002466,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) <= 58.5;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) <= 58.5; -```",0.8879351616,llama-70,262,0.994831980472681,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) >= 109.56,List the paymenttype which average of creditriskscore is at least 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002457,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56 -```",0.5120234489,llama-70,263,1.0204947527322725,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) <= 109.56,List the paymenttype which average of creditriskscore is at most 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002457,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56; -```",0.4881486893,llama-70,264,1.010056535434485,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) >= 572.25,List the paymenttype which summation of creditriskscore is at least 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002466,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25; -```",0.8264677525,llama-70,265,1.0444549323052539,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) <= 572.25,List the paymenttype which summation of creditriskscore is at most 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002466,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25; -```",0.5003247261,llama-70,266,1.0250771506059186,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) >= 5.45,List the paymenttype which average of sessionlengthminutes is at least 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45; -```",0.4812574387,llama-70,267,1.0057284471221652,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) <= 5.45,List the paymenttype which average of sessionlengthminutes is at most 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45; -```",0.6016266346,llama-70,268,1.037776760589795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) >= 29.25,List the paymenttype which summation of sessionlengthminutes is at least 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002439,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25; -```",1.2885372639,llama-70,269,1.0009742129811796,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) <= 29.25,List the paymenttype which summation of sessionlengthminutes is at most 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002439,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25; -```",0.5627534389,llama-70,270,0.9940501156094179,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) >= 1,Find all the customerid that have at least 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002709,"SELECT DISTINCT customerid -FROM latePayment;","```sql -SELECT DISTINCT customerid -FROM latePayment; -``` -This SQL query will return all unique `customerid` values that have at least one record in the `latePayment` table. The `DISTINCT` keyword ensures that each `customerid` is only returned once, even if it appears multiple times in the table.",1.4315626621,llama-70,271,1.0160084748259448,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) <= 1,Find all the customerid that have at most 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000234,"SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(customerid) <= 1;","```sql -SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(customerid) <= 1; -```",0.558422327,llama-70,272,1.0060427509117298,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) >= 10,Find all the disputed that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002295,"SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) >= 10;","```sql -SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) >= 10; -```",0.5539004803,llama-70,273,0.9895245819540789,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) <= 10,Find all the disputed that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002295,"SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10;","```sql -SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10; -```",0.4894149303,llama-70,274,1.0652352089384578,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) >= 10,Find all the paperlessbill that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002349,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10;","```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10; -```",0.5630028248,llama-70,275,1.0050533797353045,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) <= 10,Find all the paperlessbill that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002349,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10;","```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10; -```",0.7820255756,llama-70,276,1.0046861613637936,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) >= 2.95,List the invoicedate which average of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002421,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95; -```",0.5625970364,llama-70,277,1.0462272504432721,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) <= 2.95,List the invoicedate which average of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003168,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95;","```sql -SELECT invoicedate -FROM latePayment -WHERE dayslate <= 2.95; -``` -However, the above SQL query will return all the invoicedate where the dayslate is less than or equal to 2.95. But if you want to get the invoicedate where the average of dayslate is at most 2.95, you should use the following SQL query: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95; -```",0.8436188698,llama-70,278,1.0110101742404807,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) >= 2.95,List the invoicedate which summation of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95 -```",0.5818419456,llama-70,279,1.014657484951451,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) <= 2.95,List the invoicedate which summation of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95; -```",0.8580985069,llama-70,280,1.037963064529261,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) >= 4902805164.55,List the invoicedate which average of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003879,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -WHERE invoicenumber >= 4902805164.55; -``` -However, the above query will return the invoicedate where the invoicenumber is greater than or equal to 4902805164.55. But if you want to get the invoicedate where the average of invoicenumber is at least 4902805164.55, you should use the AVG function in SQL. - -Here is the correct query: -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55; -``` -This query will group the rows by invoicedate, calculate the average of invoicenumber for each group, and return the invoicedate where the average is greater than or equal to 4902805164.55.",1.60739851,llama-70,281,1.0021164753965925,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) <= 4902805164.55,List the invoicedate which average of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004653,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -WHERE invoicenumber <= (SELECT AVG(invoicenumber) - FROM latePayment - WHERE AVG(invoicenumber) <= 4902805164.55); -``` -However, the above query will not work as expected because the AVG function in the WHERE clause is trying to compare the average of the entire table with the given value, which is not the intention. - -To fix this, we need to first calculate the average of invoicenumber and then use that value to filter the results. Here's the corrected query: - -```sql -SELECT invoicedate -FROM latePayment -WHERE invoicenumber <= (SELECT AVG(invoicenumber) - FROM latePayment); -``` -And then manually check if the average is less than or equal to 4902805164.55. If it is, then the above query will return the correct results. - -Alternatively, if you want to get the invoicedate where the average of invoicenumber for each invoicedate is at most 4902805164.55, you can use the following query: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55; -```",1.5506520271,llama-70,282,1.0072575541998143,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) >= 4902805164.55,List the invoicedate which summation of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002529,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55 -```",0.7444603443,llama-70,283,1.0146154328328734,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) <= 4902805164.55,List the invoicedate which summation of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006696,"SELECT invoicedate -FROM ( - SELECT invoicedate, - SUM(invoicenumber) OVER (ORDER BY invoicedate) AS cumulative_sum - FROM latePayment -) AS subquery -WHERE cumulative_sum <= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -WHERE invoicenumber <= 4902805164.55; -``` -However, the above SQL query will return all the invoicedate where the invoicenumber is less than or equal to 4902805164.55. - -If you want to get the invoicedate where the summation of invoicenumber is at most 4902805164.55, you should use the following SQL query: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) <= 4902805164.55; -``` -This query will return the invoicedate where the sum of invoicenumber for each group of invoicedate is less than or equal to 4902805164.55. - -Please note that the data type of invoicenumber is INTEGER, but the given value 4902805164.55 is a floating point number. This might cause some issues if the database system does not support implicit conversion from floating point to integer. In that case, you might need to cast the value to an integer or use a different data type for invoicenumber. - -Also, the above query assumes that the invoicedate is unique for each group. If there are multiple rows with the same invoicedate, this query will return all of them if the sum of invoicenumber for that group is less than or equal to 4902805164.55. - -If you want to get the invoicedate where the cumulative sum of invoicenumber is at most 4902805164.55, you might need to use a different query, possibly involving window functions, depending on the specific database system you are using. - -For example, in PostgreSQL, you can use the following query: - -```sql -SELECT invoicedate -FROM ( - SELECT invoicedate, - SUM(invoicenumber) OVER (ORDER BY invoicedate) AS cumulative_sum - FROM latePayment -) AS subquery -WHERE cumulative_sum <= 4902805164.55; -``` -This query will return the invoicedate where the cumulative sum of invoicenumber is less than or equal to 4902805164.55. The cumulative sum is calculated by ordering the rows by invoicedate and summing up the invoicenumber for each row.",4.0165023804,llama-70,284,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) >= 1.43,List the paperlessdate which average of dayslate is at least 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002421,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43; -```",0.655885458,llama-70,285,1.0046355462179672,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) <= 1.43,List the paperlessdate which average of dayslate is at most 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002421,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) <= 1.43;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) <= 1.43; -```",0.5538227558,llama-70,286,1.0897230090593861,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) >= 3.47,List the paperlessdate which summation of dayslate is at least 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47; -```",0.4589962959,llama-70,287,1.0108844505472527,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) <= 3.47,List the paperlessdate which summation of dayslate is at most 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000243,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47; -```",0.4271907806,llama-70,288,0.9985865253378662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) >= 4611214877.81,List the paperlessdate which average of invoicenumber is at least 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000252,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81 -```",1.034147501,llama-70,289,1.024702801844933,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) <= 4611214877.81,List the paperlessdate which average of invoicenumber is at most 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003492,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) <= 4611214877.81;","```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber <= 4611214877.81; -``` -However, the above SQL query will return all the `paperlessdate` where the `invoicenumber` is less than or equal to 4611214877.81. - -If you want to get the `paperlessdate` where the average of `invoicenumber` is at most 4611214877.81, you should use the following SQL query: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) <= 4611214877.81; -```",1.0777831078,llama-70,290,1.0098113294695372,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) >= 5768006075.94,List the paperlessdate which summation of invoicenumber is at least 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002529,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94; -```",0.810485363,llama-70,291,1.0073164383671673,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) <= 5768006075.94,List the paperlessdate which summation of invoicenumber is at most 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002529,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94; -```",3.2600362301,llama-70,292,1.0250723791400904,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `housingstatus`) = (SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`),What are the hasothercards with all the housingstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000225,"SELECT hasothercards, housingstatus -FROM accountFraud;","```sql -SELECT hasothercards, housingstatus -FROM accountFraud; -```",0.4676561356,llama-70,293,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the hasothercards with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000225,"SELECT hasothercards, paymenttype -FROM accountFraud;","```sql -SELECT hasothercards, paymenttype -FROM accountFraud; -```",0.4669795036,llama-70,294,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `employmentstatus`) = (SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`),What are the hasothercards with all the employmentstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000225,"SELECT hasothercards, employmentstatus -FROM accountFraud;","```sql -SELECT hasothercards, employmentstatus -FROM accountFraud; -```",0.4332947731,llama-70,295,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `deviceos`) = (SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`),What are the hasothercards with all the deviceos in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000225,"SELECT hasothercards, deviceos -FROM accountFraud;","```sql -SELECT hasothercards, deviceos -FROM accountFraud; -```",0.5644612312,llama-70,296,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the hasothercards with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004302,"SELECT DISTINCT emailisfree, hasothercards -FROM accountFraud -ORDER BY emailisfree;","```sql -SELECT hasothercards -FROM accountFraud -WHERE emailisfree = 'true'; -``` -However, the above SQL query will return all the `hasothercards` where `emailisfree` is 'true'. If you want all the `hasothercards` with all the `emailisfree` (i.e., both 'true' and 'false'), you can use the following query: - -```sql -SELECT hasothercards, emailisfree -FROM accountFraud; -``` -This query will return all the rows from your table, with both `hasothercards` and `emailisfree` columns. - -If you want to get the count of `hasothercards` for each `emailisfree` value, you can use the following query: - -```sql -SELECT emailisfree, hasothercards -FROM accountFraud -GROUP BY emailisfree, hasothercards; -``` -Or, if you want to get the distinct `hasothercards` for each `emailisfree` value, you can use the following query: - -```sql -SELECT DISTINCT emailisfree, hasothercards -FROM accountFraud -ORDER BY emailisfree; -```",1.8123576641,llama-70,297,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the housingstatus with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002889,"SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud;","```sql -SELECT housingstatus, paymenttype -FROM accountFraud; -``` -This SQL query will return all the rows from the `accountFraud` table with `housingstatus` and `paymenttype` columns. If you want to get unique combinations of `housingstatus` and `paymenttype`, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud; -```",1.6550130844,llama-70,298,0.0,0.222,1.0,0.0,0.154,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the housingstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003438,"SELECT housingstatus -FROM accountFraud -WHERE emailisfree = 'yes';","```sql -SELECT housingstatus -FROM accountFraud -WHERE emailisfree = 'true'; -``` -This SQL code will fetch all the `housingstatus` from the `accountFraud` table where `emailisfree` is `true`. - -Please note that the exact SQL query might vary depending on the actual values in the `emailisfree` column. If `emailisfree` is not a boolean value but rather a string, you might need to adjust the query accordingly. For example, if `emailisfree` is a string that can be either 'yes' or 'no', the query would be: - -```sql -SELECT housingstatus -FROM accountFraud -WHERE emailisfree = 'yes'; -```",3.0147206783,llama-70,299,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the paymenttype with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003807,"SELECT DISTINCT paymenttype -FROM accountFraud -WHERE emailisfree = 'yes';","```sql -SELECT paymenttype -FROM accountFraud -WHERE emailisfree = 'true'; -``` -However, the above SQL query will return all the rows where `emailisfree` is 'true'. If you want to get the distinct `paymenttype` values, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT paymenttype -FROM accountFraud -WHERE emailisfree = 'true'; -``` -Please note that the exact SQL query may vary depending on the actual values in the `emailisfree` column. If the column contains 'yes', 'no', 'free', etc., you should replace `'true'` with the actual value that represents ""all the emailisfree"". - -For example, if 'yes' represents ""all the emailisfree"", the query would be: - -```sql -SELECT DISTINCT paymenttype -FROM accountFraud -WHERE emailisfree = 'yes'; -```",1.2698872089,llama-70,300,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `employmentstatus` FROM `accountFraud` GROUP BY `employmentstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the employmentstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004392,"SELECT emailisfree, employmentstatus -FROM accountFraud -GROUP BY emailisfree, employmentstatus;","```sql -SELECT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true'; -``` -However, the above SQL query will return all the rows where `emailisfree` is 'true'. If you want to get the distinct `employmentstatus` where `emailisfree` is 'true', you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true'; -``` -Please note that the value 'true' is assumed for `emailisfree` column. If the actual value is different, replace 'true' with the actual value. - -Also, if the `emailisfree` column can have multiple values (like 'yes', 'no', 'free', etc.) and you want to get the `employmentstatus` for all of them, you can remove the `WHERE` clause: - -```sql -SELECT employmentstatus -FROM accountFraud; -``` -Or, if you want to get the distinct `employmentstatus` for each `emailisfree` value, you can use the `GROUP BY` clause: - -```sql -SELECT emailisfree, employmentstatus -FROM accountFraud -GROUP BY emailisfree, employmentstatus; -```",1.5179142952,llama-70,301,0.0,0.429,1.0,0.0,0.375,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the deviceos with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003033,"SELECT DISTINCT deviceos -FROM accountFraud -WHERE emailisfree = 'true';","```sql -SELECT deviceos -FROM accountFraud -WHERE emailisfree = 'true'; -``` -However, the above SQL query will return the deviceos where emailisfree is 'true'. If you want to get all the unique deviceos where emailisfree is 'true' (i.e., all the deviceos with all the emailisfree), you can use the following SQL query: - -```sql -SELECT DISTINCT deviceos -FROM accountFraud -WHERE emailisfree = 'true'; -```",1.602938652,llama-70,302,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the customerid with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003609,"SELECT customerid -FROM latePayment -WHERE disputed IS NOT NULL AND disputed <> '';","```sql -SELECT customerid -FROM latePayment -WHERE disputed = 'true'; -``` -This SQL code will return all the `customerid` from the `latePayment` table where the `disputed` column is 'true'. - -Please note that the exact SQL query might vary depending on the actual values in the `disputed` column. If the `disputed` column contains different values to represent disputed payments (e.g., 'yes', '1', etc.), you should replace `'true'` with the actual value. - -If you want to get all the `customerid` with any kind of disputed payment (i.e., the `disputed` column is not null or empty), you can use the following query: - -```sql -SELECT customerid -FROM latePayment -WHERE disputed IS NOT NULL AND disputed <> ''; -```",1.8071846962,llama-70,303,0.0,0.059,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the customerid with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003501,"SELECT customerid -FROM latePayment -WHERE paperlessbill = 'yes';","```sql -SELECT customerid -FROM latePayment -WHERE paperlessbill = 'true'; -``` -This SQL code will return all the `customerid` from the `latePayment` table where `paperlessbill` is `true`. - -Please note that the exact SQL query might vary depending on the actual values in the `paperlessbill` column. If the column contains other values like 'yes', 'no', '1', '0' etc., you should replace `'true'` with the actual value that represents a paperless bill. - -For example, if the `paperlessbill` column contains 'yes' or 'no', the query would be: -```sql -SELECT customerid -FROM latePayment -WHERE paperlessbill = 'yes'; -```",3.0151166916,llama-70,304,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the paperlessdate with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004104,"SELECT paperlessdate -FROM latePayment -WHERE disputed IS NOT NULL AND disputed != '';","```sql -SELECT paperlessdate -FROM latePayment -WHERE disputed = 'true'; -``` -This SQL code will fetch all the `paperlessdate` from the `latePayment` table where the `disputed` column is 'true'. - -Please note that the value for the `disputed` column is assumed to be 'true' for disputed records. If the actual value is different, you should replace 'true' with the actual value. - -Also, if the `disputed` column can have multiple values (like 'yes', 'no', 'true', 'false', etc.) and you want to fetch all the records where the `disputed` column is not 'false' or 'no', you can use the following SQL code: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE disputed != 'false' AND disputed != 'no'; -``` -Or, if you want to fetch all the records where the `disputed` column is not null or empty: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE disputed IS NOT NULL AND disputed != ''; -```",2.1389102936,llama-70,305,0.0,0.059,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the paperlessdate with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000225,"SELECT paperlessdate, paperlessbill -FROM latePayment;","```sql -SELECT paperlessdate, paperlessbill -FROM latePayment; -```",0.736651659,llama-70,306,0.0,0.053,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the disputed with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0003411,"SELECT * -FROM latePayment -WHERE paperlessbill = 'true';","```sql -SELECT disputed -FROM latePayment -WHERE paperlessbill = 'true'; -``` -This SQL code will fetch all the rows from the `latePayment` table where `paperlessbill` is `true` and return the `disputed` column. - -Please note that the value for `paperlessbill` is assumed to be 'true' for paperless bills. If the actual value is different, you should replace `'true'` with the actual value. - -Also, if you want to get all the columns for the rows where `paperlessbill` is `true`, you can use the following SQL code: - -```sql -SELECT * -FROM latePayment -WHERE paperlessbill = 'true'; -```",1.0841650963,llama-70,307,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` ASC,Show all data ordered by deviceos in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002259,"SELECT * -FROM accountFraud -ORDER BY deviceos ASC;","```sql -SELECT * -FROM accountFraud -ORDER BY deviceos ASC; -```",0.4814662933,llama-70,308,1.004799674498564,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` DESC,Show all data ordered by deviceos in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002259,"SELECT * -FROM accountFraud -ORDER BY deviceos DESC;","```sql -SELECT * -FROM accountFraud -ORDER BY deviceos DESC; -```",0.4287514687,llama-70,309,1.0045860834950806,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` ASC,Show all data ordered by dateofbirthdistinctemails4w in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002349,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC;","```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC; -```",0.4830369949,llama-70,310,1.0377292150433712,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` DESC,Show all data ordered by dateofbirthdistinctemails4w in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002349,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC;","```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC; -```",0.8299062252,llama-70,311,0.9975963130539831,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` ASC,Project the creditriskscore ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002304,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC;","```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC; -```",0.942707777,llama-70,312,1.0446810082872913,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` DESC,Project the creditriskscore ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002304,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC;","```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC; -```",0.6797509193,llama-70,313,1.0062335092785366,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` ASC,Project the sessionlengthminutes ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002277,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC;","```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC; -```",1.0855593681,llama-70,314,1.0054082457556641,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` DESC,Project the sessionlengthminutes ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002277,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC;","```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC; -```",0.8089385033,llama-70,315,1.0164106539196092,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` ASC,Show all data ordered by invoicenumber in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002277,"SELECT * -FROM latePayment -ORDER BY invoicenumber ASC;","```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber ASC; -```",3.2924540043,llama-70,316,0.9964576514785775,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` DESC,Show all data ordered by invoicenumber in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002277,"SELECT * -FROM latePayment -ORDER BY invoicenumber DESC;","```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber DESC; -```",0.3712644577,llama-70,317,1.0234988590968532,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` ASC,Show all data ordered by invoiceamount in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002241,"SELECT * -FROM latePayment -ORDER BY invoiceamount ASC;","```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount ASC; -```",0.6064934731,llama-70,318,1.0012190347044847,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` DESC,Show all data ordered by invoiceamount in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002241,"SELECT * -FROM latePayment -ORDER BY invoiceamount DESC;","```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount DESC; -```",1.9997293949,llama-70,319,1.054085607413737,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` ASC,Project the daystosettle ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002286,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC;","```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC; -```",0.9478330612,llama-70,320,0.9931224234066108,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` DESC,Project the daystosettle ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002286,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC;","```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC; -```",0.9500334263,llama-70,321,1.0130252835410865,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` ASC,Project the disputed ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002205,"SELECT disputed -FROM latePayment -ORDER BY disputed ASC;","```sql -SELECT disputed -FROM latePayment -ORDER BY disputed ASC; -```",0.8015761375,llama-70,322,1.0021478983026841,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` DESC,Project the disputed ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002205,"SELECT disputed -FROM latePayment -ORDER BY disputed DESC;","```sql -SELECT disputed -FROM latePayment -ORDER BY disputed DESC; -```",0.5432319641,llama-70,323,1.0024314724111663,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT emailisfree -FROM accountFraud;","```sql -SELECT emailisfree -FROM accountFraud; -```",0.93059659,llama-70,324,1.0298805942811389,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `employmentstatus` FROM `accountFraud`,Show all employmentstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000216,"SELECT employmentstatus -FROM accountFraud;","```sql -SELECT employmentstatus -FROM accountFraud; -```",0.9866652489,llama-70,325,1.007423932454,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `deviceos` FROM `accountFraud`,Show all deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000216,"SELECT deviceos -FROM accountFraud;","```sql -SELECT deviceos -FROM accountFraud; -```",0.7109289169,llama-70,326,1.0060866152502226,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `sessionlengthminutes` FROM `accountFraud`,Show all sessionlengthminutes in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT sessionlengthminutes -FROM accountFraud;","```sql -SELECT sessionlengthminutes -FROM accountFraud; -```",0.4543082714,llama-70,327,1.0034973565959133,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `housingstatus` FROM `accountFraud`,Show all housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000216,"SELECT housingstatus -FROM accountFraud;","```sql -SELECT housingstatus -FROM accountFraud; -```",1.3512630463,llama-70,328,1.0021584208830028,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-ALL,SELECT * FROM `accountFraud`,Show all the rows in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002151,"SELECT * -FROM accountFraud;","```sql -SELECT * -FROM accountFraud; -```",0.5731191635,llama-70,329,0.9952047041271403,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT emailisfree -FROM accountFraud;","```sql -SELECT emailisfree -FROM accountFraud; -```",0.6145040989,llama-70,330,1.0106426512193811,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `housingstatus` FROM `accountFraud`","Show all income, housingstatus in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002196,"SELECT income, housingstatus -FROM accountFraud;","```sql -SELECT income, housingstatus -FROM accountFraud; -```",0.567971468,llama-70,331,1.0134976603851114,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `deviceos`, `creditriskscore` FROM `accountFraud`","Show all hasothercards, deviceos, creditriskscore in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002322,"SELECT hasothercards, deviceos, creditriskscore -FROM accountFraud;","```sql -SELECT hasothercards, deviceos, creditriskscore -FROM accountFraud; -```",1.0699257851,llama-70,332,1.0051021172726087,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype` FROM `accountFraud`","Show all housingstatus, creditriskscore, sessionlengthminutes, paymenttype in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002466,"SELECT - housingstatus, - creditriskscore, - sessionlengthminutes, - paymenttype -FROM - accountFraud;","```sql -SELECT - housingstatus, - creditriskscore, - sessionlengthminutes, - paymenttype -FROM - accountFraud; -```",0.5498700142,llama-70,333,1.0525711125952821,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes` FROM `accountFraud`","Show all dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002592,"SELECT - dateofbirthdistinctemails4w, - income, - deviceos, - hasothercards, - sessionlengthminutes -FROM - accountFraud;","```sql -SELECT - dateofbirthdistinctemails4w, - income, - deviceos, - hasothercards, - sessionlengthminutes -FROM - accountFraud; -```",0.6659679413,llama-70,334,1.0329491191150975,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `emailisfree`, `employmentstatus`, `dateofbirthdistinctemails4w`, `sessionlengthminutes`, `income` FROM `accountFraud`","Show all hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002682,"SELECT - hasothercards, - emailisfree, - employmentstatus, - dateofbirthdistinctemails4w, - sessionlengthminutes, - income -FROM - accountFraud;","```sql -SELECT - hasothercards, - emailisfree, - employmentstatus, - dateofbirthdistinctemails4w, - sessionlengthminutes, - income -FROM - accountFraud; -```",0.4314489365,llama-70,335,1.0020799871201838,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, `income` FROM `accountFraud`","Show all creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002682,"SELECT - creditriskscore, - deviceos, - hasothercards, - paymenttype, - emailisfree, - housingstatus, - income -FROM - accountFraud;","```sql -SELECT - creditriskscore, - deviceos, - hasothercards, - paymenttype, - emailisfree, - housingstatus, - income -FROM - accountFraud; -```",0.6154139042,llama-70,336,0.9972200173220931,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `sessionlengthminutes`, `emailisfree`, `deviceos`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `hasothercards` FROM `accountFraud`","Show all creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000288,"SELECT - creditriskscore, - sessionlengthminutes, - emailisfree, - deviceos, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - hasothercards -FROM - accountFraud;","```sql -SELECT - creditriskscore, - sessionlengthminutes, - emailisfree, - deviceos, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - hasothercards -FROM - accountFraud; -```",0.5362920761,llama-70,337,0.9998451703578609,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `creditriskscore`, `deviceos`, `emailisfree`, `income`, `sessionlengthminutes` FROM `accountFraud`","Show all housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002916,"SELECT - housingstatus, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - creditriskscore, - deviceos, - emailisfree, - income, - sessionlengthminutes -FROM - accountFraud;","```sql -SELECT - housingstatus, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - creditriskscore, - deviceos, - emailisfree, - income, - sessionlengthminutes -FROM - accountFraud; -```",1.442483902,llama-70,338,0.997033372554858,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessbill` FROM `latePayment`,Show all paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000216,"SELECT paperlessbill -FROM latePayment;","```sql -SELECT paperlessbill -FROM latePayment; -```",0.4341187477,llama-70,339,1.026409228284999,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `invoiceamount` FROM `latePayment`,Show all invoiceamount in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002142,"SELECT invoiceamount -FROM latePayment;","```sql -SELECT invoiceamount -FROM latePayment; -```",0.5566811562,llama-70,340,0.9937623054119443,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessdate` FROM `latePayment`,Show all paperlessdate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000216,"SELECT paperlessdate -FROM latePayment;","```sql -SELECT paperlessdate -FROM latePayment; -```",0.4092788696,llama-70,341,1.0037348601461877,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `duedate` FROM `latePayment`,Show all duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000216,"SELECT duedate -FROM latePayment;","```sql -SELECT duedate -FROM latePayment; -```",0.5770704746,llama-70,342,1.0268368144413347,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `daystosettle` FROM `latePayment`,Show all daystosettle in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT daystosettle -FROM latePayment;","```sql -SELECT daystosettle -FROM latePayment; -```",0.4855434895,llama-70,343,1.0075146719691668,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-ALL,SELECT * FROM `latePayment`,Show all the rows in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002133,"SELECT * -FROM latePayment;","```sql -SELECT * -FROM latePayment; -```",0.8449208736,llama-70,344,0.9994197757244975,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,SELECT `disputed` FROM `latePayment`,Show all disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002124,"SELECT disputed -FROM latePayment;","```sql -SELECT disputed -FROM latePayment; -```",2.4582500458,llama-70,345,1.0528259936719635,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `duedate`, `customerid` FROM `latePayment`","Show all duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002214,"SELECT duedate, customerid -FROM latePayment;","```sql -SELECT duedate, customerid -FROM latePayment; -```",1.0831305981,llama-70,346,1.0106215470185023,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `duedate`, `customerid` FROM `latePayment`","Show all paperlessdate, duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002286,"SELECT paperlessdate, duedate, customerid -FROM latePayment;","```sql -SELECT paperlessdate, duedate, customerid -FROM latePayment; -```",0.4755952358,llama-70,347,0.9960704000744014,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `paperlessdate`, `invoicedate`, `duedate` FROM `latePayment`","Show all daystosettle, paperlessdate, invoicedate, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002394,"SELECT daystosettle, paperlessdate, invoicedate, duedate -FROM latePayment;","```sql -SELECT daystosettle, paperlessdate, invoicedate, duedate -FROM latePayment; -```",0.7825737,llama-70,348,1.0185024997382575,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `invoicedate`, `dayslate`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, invoicedate, dayslate, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002556,"SELECT - paperlessdate, - invoicedate, - dayslate, - invoicenumber, - duedate -FROM - latePayment;","```sql -SELECT - paperlessdate, - invoicedate, - dayslate, - invoicenumber, - duedate -FROM - latePayment; -```",0.5342264175,llama-70,349,1.0012898432630966,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `invoiceamount`, `daystosettle`, `disputed`, `paperlessdate`, `duedate`, `invoicenumber` FROM `latePayment`","Show all invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002628,"SELECT - invoiceamount, - daystosettle, - disputed, - paperlessdate, - duedate, - invoicenumber -FROM - latePayment;","```sql -SELECT - invoiceamount, - daystosettle, - disputed, - paperlessdate, - duedate, - invoicenumber -FROM - latePayment; -```",1.1672024727,llama-70,350,1.0026170643442454,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed` FROM `latePayment`","Show all customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002664,"SELECT - customerid, - invoiceamount, - duedate, - dayslate, - daystosettle, - invoicedate, - disputed -FROM - latePayment;","```sql -SELECT - customerid, - invoiceamount, - duedate, - dayslate, - daystosettle, - invoicedate, - disputed -FROM - latePayment; -```",0.5092487335,llama-70,351,1.0748546078197567,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `customerid`, `paperlessbill`, `paperlessdate`, `invoicedate`, `duedate`, `invoicenumber`, `disputed` FROM `latePayment`","Show all daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002808,"SELECT - daystosettle, - customerid, - paperlessbill, - paperlessdate, - invoicedate, - duedate, - invoicenumber, - disputed -FROM - latePayment;","```sql -SELECT - daystosettle, - customerid, - paperlessbill, - paperlessdate, - invoicedate, - duedate, - invoicenumber, - disputed -FROM - latePayment; -```",0.5295858383,llama-70,352,0.9972314302867684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `dayslate`, `daystosettle`, `invoicedate`, `customerid`, `invoiceamount`, `paperlessbill`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002898,"SELECT - paperlessdate, - dayslate, - daystosettle, - invoicedate, - customerid, - invoiceamount, - paperlessbill, - invoicenumber, - duedate -FROM - latePayment;","```sql -SELECT - paperlessdate, - dayslate, - daystosettle, - invoicedate, - customerid, - invoiceamount, - paperlessbill, - invoicenumber, - duedate -FROM - latePayment; -```",1.313883543,llama-70,353,1.016353867559932,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` == 'AC',Show the data of the table accountFraud where paymenttype is equal to AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE paymenttype = 'AC';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype = 'AC'; -```",0.6429302692,llama-70,354,1.002483966371044,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AC',Show the data of the table accountFraud where paymenttype is different from AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE paymenttype != 'AC';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype != 'AC'; -```",0.5033452511,llama-70,355,1.0289291555748241,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AA',Show the data of the table accountFraud where paymenttype not equal to AA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE paymenttype != 'AA';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype != 'AA'; -```",0.6500477791,llama-70,356,1.0170453267235207,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` == 'CB',Show the data of the table accountFraud where employmentstatus is equal to CB,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB'; -```",0.7449932098,llama-70,357,1.0338566063197472,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus is different from CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA'; -```",2.1680085659,llama-70,358,1.0012167790153306,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus not equal to CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA'; -```",1.1555349827,llama-70,359,1.0012783993009595,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` == 'windows',Show the data of the table accountFraud where deviceos is equal to windows,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE deviceos = 'windows';","```sql -SELECT * -FROM accountFraud -WHERE deviceos = 'windows'; -```",0.8528203964,llama-70,360,1.0289513834669235,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos is different from other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE deviceos != 'other';","```sql -SELECT * -FROM accountFraud -WHERE deviceos != 'other'; -```",0.48422122,llama-70,361,1.0083151564195965,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos not equal to other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002268,"SELECT * -FROM accountFraud -WHERE deviceos != 'other';","```sql -SELECT * -FROM accountFraud -WHERE deviceos != 'other'; -```",1.0820424557,llama-70,362,1.0150772512469066,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `income` < 0.4,Show the data of the table accountFraud where income is less than 0.4,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002295,"SELECT * -FROM accountFraud -WHERE income < 0.4;","```sql -SELECT * -FROM accountFraud -WHERE income < 0.4; -```",0.4540946484,llama-70,363,0.9935087628059855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` > 3.749706225590873,Show the data of the table accountFraud where sessionlengthminutes is greater than 3.749706225590873,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002403,"SELECT * -FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873;","```sql -SELECT * -FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873; -```",1.4467873573,llama-70,364,1.0238574307532629,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` < 4.886676763177824,Show the data of the table accountFraud where sessionlengthminutes is less than 4.886676763177824,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002403,"SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824;","```sql -SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824; -```",0.9292292595,llama-70,365,1.003342264389411,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` > 108,Show the data of the table accountFraud where creditriskscore is greater than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002313,"SELECT * -FROM accountFraud -WHERE creditriskscore > 108;","```sql -SELECT * -FROM accountFraud -WHERE creditriskscore > 108; -```",0.4472968578,llama-70,366,1.011842936269202,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` < 108,Show the data of the table accountFraud where creditriskscore is less than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002313,"SELECT * -FROM accountFraud -WHERE creditriskscore < 108;","```sql -SELECT * -FROM accountFraud -WHERE creditriskscore < 108; -```",0.5518665314,llama-70,367,0.9980423043124131,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` == 'No',Show the data of the table latePayment where disputed is equal to No,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT * -FROM latePayment -WHERE disputed = 'No';","```sql -SELECT * -FROM latePayment -WHERE disputed = 'No'; -```",0.5109803677,llama-70,368,1.0282545436904353,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed is different from Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT * -FROM latePayment -WHERE disputed != 'Yes';","```sql -SELECT * -FROM latePayment -WHERE disputed != 'Yes'; -```",0.496535778,llama-70,369,1.015270966482365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed not equal to Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT * -FROM latePayment -WHERE disputed != 'Yes';","```sql -SELECT * -FROM latePayment -WHERE disputed != 'Yes'; -```",2.7627716064,llama-70,370,1.0246452095511565,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` == '2/6/2012',Show the data of the table latePayment where paperlessdate is equal to 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012'; -```",0.7283332348,llama-70,371,1.009950565179201,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '2/6/2012',Show the data of the table latePayment where paperlessdate is different from 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT * -FROM latePayment -WHERE paperlessdate != '2/6/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate != '2/6/2012'; -```",0.5288918018,llama-70,372,1.0361249345291519,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '1/26/2012',Show the data of the table latePayment where paperlessdate not equal to 1/26/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012'; -```",0.4526948929,llama-70,373,0.9919730327318305,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` == '4/11/2012',Show the data of the table latePayment where invoicedate is equal to 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012';","```sql -SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012'; -```",0.7299489975,llama-70,374,0.995454172385824,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '4/11/2012',Show the data of the table latePayment where invoicedate is different from 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT * -FROM latePayment -WHERE invoicedate != '4/11/2012';","```sql -SELECT * -FROM latePayment -WHERE invoicedate != '4/11/2012'; -```",0.4531433582,llama-70,375,1.0160878269166007,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '6/18/2013',Show the data of the table latePayment where invoicedate not equal to 6/18/2013,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002367,"SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013';","```sql -SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013'; -```",0.523878336,llama-70,376,1.0274597033641166,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` > 0,Show the data of the table latePayment where dayslate is greater than 0,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002259,"SELECT * -FROM latePayment -WHERE dayslate > 0;","```sql -SELECT * -FROM latePayment -WHERE dayslate > 0; -```",0.6511249542,llama-70,377,0.998919125935962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` < 6,Show the data of the table latePayment where dayslate is less than 6,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002259,"SELECT * -FROM latePayment -WHERE dayslate < 6;","```sql -SELECT * -FROM latePayment -WHERE dayslate < 6; -```",1.1778001785,llama-70,378,1.0581071704423275,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` > 84.86,Show the data of the table latePayment where invoiceamount is greater than 84.86,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002295,"SELECT * -FROM latePayment -WHERE invoiceamount > 84.86;","```sql -SELECT * -FROM latePayment -WHERE invoiceamount > 84.86; -```",0.4773170948,llama-70,379,1.0052425750607155,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` < 37.49,Show the data of the table latePayment where invoiceamount is less than 37.49,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002295,"SELECT * -FROM latePayment -WHERE invoiceamount < 37.49;","```sql -SELECT * -FROM latePayment -WHERE invoiceamount < 37.49; -```",0.5153207779,llama-70,380,1.005091701287528,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` > 9465847338,Show the data of the table latePayment where invoicenumber is greater than 9465847338,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002349,"SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338;","```sql -SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338; -```",0.4434065819,llama-70,381,1.0266150340100624,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` < 6528247418,Show the data of the table latePayment where invoicenumber is less than 6528247418,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002349,"SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418;","```sql -SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418; -```",1.863707304,llama-70,382,1.0039976259665377,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`,How many different employmentstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002214,"SELECT COUNT(DISTINCT employmentstatus) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT employmentstatus) -FROM accountFraud; -```",0.9314727783,llama-70,383,1.0447314015264113,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`,How many different housingstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002214,"SELECT COUNT(DISTINCT housingstatus) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT housingstatus) -FROM accountFraud; -```",1.4498727322,llama-70,384,1.0299323602029484,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`,How many different deviceos are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002214,"SELECT COUNT(DISTINCT deviceos) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT deviceos) -FROM accountFraud; -```",0.5121538639,llama-70,385,1.0092373312784797,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hasothercards`) FROM `accountFraud`,How many different hasothercards are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT COUNT(DISTINCT hasothercards) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT hasothercards) -FROM accountFraud; -```",0.498752594,llama-70,386,1.0095743059092248,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`,How many different emailisfree are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT COUNT(DISTINCT emailisfree) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT emailisfree) -FROM accountFraud; -```",0.4796345234,llama-70,387,1.008184156582762,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`creditriskscore`) FROM `accountFraud`,Find the maximum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT MAX(creditriskscore) -FROM accountFraud;","```sql -SELECT MAX(creditriskscore) -FROM accountFraud; -```",0.4053032398,llama-70,388,1.0005999633362992,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`creditriskscore`) FROM `accountFraud`,Find the minimum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT MIN(creditriskscore) -FROM accountFraud;","```sql -SELECT MIN(creditriskscore) -FROM accountFraud; -```",0.4955635071,llama-70,389,1.0885196405496746,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`creditriskscore`) FROM `accountFraud`,Find the average creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002232,"SELECT AVG(creditriskscore) -FROM accountFraud;","```sql -SELECT AVG(creditriskscore) -FROM accountFraud; -```",1.4920742512,llama-70,390,0.9873480611315193,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`income`) FROM `accountFraud`,Find the maximum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT MAX(income) -FROM accountFraud;","```sql -SELECT MAX(income) -FROM accountFraud; -```",0.4316308498,llama-70,391,0.9993949437796104,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`income`) FROM `accountFraud`,Find the minimum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT MIN(income) -FROM accountFraud;","```sql -SELECT MIN(income) -FROM accountFraud; -```",0.812951088,llama-70,392,1.0506084261325972,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`income`) FROM `accountFraud`,Find the average income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT AVG(income) -FROM accountFraud;","```sql -SELECT AVG(income) -FROM accountFraud; -```",0.4080338478,llama-70,393,1.008389542552881,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `invoicedate`) FROM `latePayment`,How many different invoicedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002214,"SELECT COUNT(DISTINCT invoicedate) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT invoicedate) -FROM latePayment; -```",0.4797072411,llama-70,394,0.9909740896964192,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`,How many different disputed are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002178,"SELECT COUNT(DISTINCT disputed) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT disputed) -FROM latePayment; -```",0.9293248653,llama-70,395,0.9378290720274289,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `customerid`) FROM `latePayment`,How many different customerid are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002196,"SELECT COUNT(DISTINCT customerid) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT customerid) -FROM latePayment; -```",2.4670379162,llama-70,396,1.0105218656974955,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `paperlessdate`) FROM `latePayment`,How many different paperlessdate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002214,"SELECT COUNT(DISTINCT paperlessdate) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT paperlessdate) -FROM latePayment; -```",4.4156675339,llama-70,397,1.0043346321534368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `duedate`) FROM `latePayment`,How many different duedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002214,"SELECT COUNT(DISTINCT duedate) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT duedate) -FROM latePayment; -```",2.2982487679,llama-70,398,1.0274893383912682,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`daystosettle`) FROM `latePayment`,Find the maximum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002205,"SELECT MAX(daystosettle) -FROM latePayment;","```sql -SELECT MAX(daystosettle) -FROM latePayment; -```",0.5285596848,llama-70,399,1.0025534010447723,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`daystosettle`) FROM `latePayment`,Find the minimum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002205,"SELECT MIN(daystosettle) -FROM latePayment;","```sql -SELECT MIN(daystosettle) -FROM latePayment; -```",0.5451617241,llama-70,400,0.9934266043916508,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`daystosettle`) FROM `latePayment`,Find the average daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002205,"SELECT AVG(daystosettle) -FROM latePayment;","```sql -SELECT AVG(daystosettle) -FROM latePayment; -```",1.0127904415,llama-70,401,0.9992056381037326,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`dayslate`) FROM `latePayment`,Find the maximum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002169,"SELECT MAX(dayslate) -FROM latePayment;","```sql -SELECT MAX(dayslate) -FROM latePayment; -```",1.4081268311,llama-70,402,1.0095534753267317,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`dayslate`) FROM `latePayment`,Find the minimum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002169,"SELECT MIN(dayslate) -FROM latePayment;","```sql -SELECT MIN(dayslate) -FROM latePayment; -```",0.5139160156,llama-70,403,0.9959192173802459,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`dayslate`) FROM `latePayment`,Find the average dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0002169,"SELECT AVG(dayslate) -FROM latePayment;","```sql -SELECT AVG(dayslate) -FROM latePayment; -```",0.6312839985,llama-70,404,1.0035504291051438,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `menopausalstatus` FROM `breastCancer`,Show the different menopausalstatus in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT DISTINCT menopausalstatus -FROM breastCancer;","```sql -SELECT DISTINCT menopausalstatus -FROM breastCancer; -```",1.6605315208,llama-70,405,0.9917601949749876,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hormonaltherapy` FROM `breastCancer`,Show the different hormonaltherapy in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002295,"SELECT DISTINCT hormonaltherapy -FROM breastCancer;","```sql -SELECT DISTINCT hormonaltherapy -FROM breastCancer; -```",0.9809010029,llama-70,406,1.037328942927161,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `status` FROM `breastCancer`,Show the different status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002277,"SELECT DISTINCT status -FROM breastCancer;","```sql -SELECT DISTINCT status -FROM breastCancer; -```",0.4667360783,llama-70,407,0.9930528525094752,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `heartAttack`,Show the different sex in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002259,"SELECT DISTINCT sex -FROM heartAttack;","```sql -SELECT DISTINCT sex -FROM heartAttack; -```",0.5594680309,llama-70,408,1.0031240119612832,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `chestpaintype` FROM `heartAttack`,Show the different chestpaintype in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002295,"SELECT DISTINCT chestpaintype -FROM heartAttack;","```sql -SELECT DISTINCT chestpaintype -FROM heartAttack; -```",0.8159954548,llama-70,409,1.1763681151725711,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `fastingbloodsugar` FROM `heartAttack`,Show the different fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002313,"SELECT DISTINCT fastingbloodsugar -FROM heartAttack;","```sql -SELECT DISTINCT fastingbloodsugar -FROM heartAttack; -```",1.1539332867,llama-70,410,1.1248220046458453,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `restingelectrocardiographicrresults` FROM `heartAttack`,Show the different restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002394,"SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack; -```",0.6973009109,llama-70,411,1.0069866015244089,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `output` FROM `heartAttack`,Show the different output in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002259,"SELECT DISTINCT output -FROM heartAttack;","```sql -SELECT DISTINCT output -FROM heartAttack; -```",1.2447679043,llama-70,412,0.9946430367134718,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `menopausalstatus`, COUNT(*) FROM `breastCancer` GROUP BY `menopausalstatus`","For each menopausalstatus, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT menopausalstatus, COUNT(*) -FROM breastCancer -GROUP BY menopausalstatus;","```sql -SELECT menopausalstatus, COUNT(*) -FROM breastCancer -GROUP BY menopausalstatus; -```",1.1489565372,llama-70,413,0.9905776251247346,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `hormonaltherapy`, COUNT(*) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002394,"SELECT hormonaltherapy, COUNT(*) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, COUNT(*) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.8381359577,llama-70,414,0.984151323233457,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `status`, COUNT(*) FROM `breastCancer` GROUP BY `status`","For each status, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT status, COUNT(*) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, COUNT(*) -FROM breastCancer -GROUP BY status; -```",1.1550130844,llama-70,415,1.0186275013566257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT hormonaltherapy, MIN(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MIN(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.9567351341,llama-70,416,1.008225464033889,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002538,"SELECT hormonaltherapy, MAX(progesteronereceptor) as max_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MAX(progesteronereceptor) as max_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.5316507816,llama-70,417,1.000709894599082,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000261,"SELECT - hormonaltherapy, - AVG(progesteronereceptor) as avg_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - AVG(progesteronereceptor) as avg_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy; -```",0.572275877,llama-70,418,1.0063621837875845,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000261,"SELECT - hormonaltherapy, - SUM(progesteronereceptor) AS sum_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - SUM(progesteronereceptor) AS sum_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy; -```",0.5264835358,llama-70,419,1.0095054204335752,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT hormonaltherapy, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.4924871922,llama-70,420,1.0017386604534013,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT hormonaltherapy, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.7686982155,llama-70,421,1.0069776840757112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000261,"SELECT - hormonaltherapy, - AVG(numberpositivelymphnodes) as average_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - AVG(numberpositivelymphnodes) as average_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -```",0.6543490887,llama-70,422,1.020176808541968,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000261,"SELECT - hormonaltherapy, - SUM(numberpositivelymphnodes) AS total_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - SUM(numberpositivelymphnodes) AS total_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -```",1.2083585262,llama-70,423,1.0138037754422995,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT status, MIN(progesteronereceptor) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MIN(progesteronereceptor) -FROM breastCancer -GROUP BY status; -```",0.46270895,llama-70,424,1.0124840929839074,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002511,"SELECT status, MAX(progesteronereceptor) as max_progesteronereceptor -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MAX(progesteronereceptor) as max_progesteronereceptor -FROM breastCancer -GROUP BY status; -```",2.160020113,llama-70,425,1.0012693450096828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002583,"SELECT - status, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - status; -```",0.510771513,llama-70,426,0.9998024806092215,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT status, SUM(progesteronereceptor) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, SUM(progesteronereceptor) -FROM breastCancer -GROUP BY status; -```",0.8127214909,llama-70,427,0.9876684084742956,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT status, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status; -```",0.4996788502,llama-70,428,1.0026819082352745,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT status, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status; -```",0.6162405014,llama-70,429,1.0071271314248877,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002583,"SELECT - status, - AVG(numberpositivelymphnodes) AS average_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - AVG(numberpositivelymphnodes) AS average_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status; -```",1.3471553326,llama-70,430,0.9950432382028476,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT status, SUM(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, SUM(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status; -```",1.7755937576,llama-70,431,1.0003752708052016,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `sex`, COUNT(*) FROM `heartAttack` GROUP BY `sex`","For each sex, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002349,"SELECT sex, COUNT(*) -FROM heartAttack -GROUP BY sex;","```sql -SELECT sex, COUNT(*) -FROM heartAttack -GROUP BY sex; -```",0.4333884716,llama-70,432,1.0052798985631772,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `chestpaintype`, COUNT(*) FROM `heartAttack` GROUP BY `chestpaintype`","For each chestpaintype, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002403,"SELECT chestpaintype, COUNT(*) -FROM heartAttack -GROUP BY chestpaintype;","```sql -SELECT chestpaintype, COUNT(*) -FROM heartAttack -GROUP BY chestpaintype; -```",0.4813656807,llama-70,433,1.0022770819177993,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `fastingbloodsugar`, COUNT(*) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000252,"SELECT - fastingbloodsugar, - COUNT(*) as count -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - COUNT(*) as count -FROM - heartAttack -GROUP BY - fastingbloodsugar; -```",0.7041287422,llama-70,434,1.0402447068639773,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `restingelectrocardiographicrresults`, COUNT(*) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002637,"SELECT - restingelectrocardiographicrresults, - COUNT(*) as count -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;","```sql -SELECT - restingelectrocardiographicrresults, - COUNT(*) as count -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -```",1.1124689579,llama-70,435,1.0101587709376612,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `output`, COUNT(*) FROM `heartAttack` GROUP BY `output`","For each output, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002349,"SELECT output, COUNT(*) -FROM heartAttack -GROUP BY output;","```sql -SELECT output, COUNT(*) -FROM heartAttack -GROUP BY output; -```",1.3403222561,llama-70,436,1.0123356758180238,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002583,"SELECT restingelectrocardiographicrresults, MIN(age) as min_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, MIN(age) as min_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",1.3130586147,llama-70,437,1.0555632337130445,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002583,"SELECT restingelectrocardiographicrresults, MAX(age) as max_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, MAX(age) as max_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",1.3958210945,llama-70,438,0.9935245299592149,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002655,"SELECT - restingelectrocardiographicrresults, - AVG(age) AS average_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;","```sql -SELECT - restingelectrocardiographicrresults, - AVG(age) AS average_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -```",0.8248281479,llama-70,439,1.0053615721486953,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002664,"SELECT - restingelectrocardiographicrresults, - SUM(age) AS sum_of_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;","```sql -SELECT - restingelectrocardiographicrresults, - SUM(age) AS sum_of_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -```",1.3433952332,llama-70,440,1.0370019204984255,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002646,"SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",0.7574388981,llama-70,441,0.8893508204807391,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002646,"SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",1.3859395981,llama-70,442,1.1020900910772777,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000279,"SELECT - restingelectrocardiographicrresults, - AVG(numberofmajorvvessels) AS average_number_of_major_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;","```sql -SELECT - restingelectrocardiographicrresults, - AVG(numberofmajorvvessels) AS average_number_of_major_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -```",1.6348648071,llama-70,443,1.073044868692671,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000279,"SELECT - restingelectrocardiographicrresults, - SUM(numberofmajorvvessels) AS total_number_of_major_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;","```sql -SELECT - restingelectrocardiographicrresults, - SUM(numberofmajorvvessels) AS total_number_of_major_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -```",1.3947479725,llama-70,444,1.0107167405869935,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002466,"SELECT fastingbloodsugar, MIN(age) as min_age -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MIN(age) as min_age -FROM heartAttack -GROUP BY fastingbloodsugar; -```",1.0516624451,llama-70,445,1.0008879432724516,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002466,"SELECT fastingbloodsugar, MAX(age) as max_age -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MAX(age) as max_age -FROM heartAttack -GROUP BY fastingbloodsugar; -```",1.7817356586,llama-70,446,1.0202552487074132,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002538,"SELECT - fastingbloodsugar, - AVG(age) as average_age -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - AVG(age) as average_age -FROM - heartAttack -GROUP BY - fastingbloodsugar; -```",0.4464895725,llama-70,447,1.0209738900806655,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002547,"SELECT - fastingbloodsugar, - SUM(age) AS sum_of_age -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - SUM(age) AS sum_of_age -FROM - heartAttack -GROUP BY - fastingbloodsugar; -```",0.436340332,llama-70,448,1.0142780511242175,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002529,"SELECT fastingbloodsugar, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.5339391232,llama-70,449,1.0466193691515369,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002529,"SELECT fastingbloodsugar, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.518958807,llama-70,450,1.0537695958478195,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002673,"SELECT - fastingbloodsugar, - AVG(numberofmajorvvessels) AS average_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - AVG(numberofmajorvvessels) AS average_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -```",0.6450982094,llama-70,451,1.0000894168701957,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002664,"SELECT - fastingbloodsugar, - SUM(numberofmajorvvessels) AS sum_of_major_vessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - SUM(numberofmajorvvessels) AS sum_of_major_vessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -```",0.4997940063,llama-70,452,1.023070147613416,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) >= 12,Find all the menopausalstatus that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002511,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12;","```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12; -```",0.789031744,llama-70,453,0.9971403446694177,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) <= 12,Find all the menopausalstatus that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002511,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12;","```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12; -```",1.0623755455,llama-70,454,1.0070211151684634,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) >= 12,Find all the hormonaltherapy that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002493,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(hormonaltherapy) >= 12;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(hormonaltherapy) >= 12; -```",1.8463144302,llama-70,455,1.0374660953517458,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) <= 12,Find all the hormonaltherapy that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002457,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12; -```",0.9530858994,llama-70,456,0.9998963173151859,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) >= 12,Find all the status that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) >= 12;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) >= 12; -```",0.6416079998,llama-70,457,1.0475171880018188,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) <= 12,Find all the status that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) <= 12;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) <= 12; -```",0.6270282269,llama-70,458,1.0113180549923937,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) >= 30.14,List the hormonaltherapy which average of tumorsize is at least 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003285,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize >= 30.14; -``` -However, the above SQL query will return all the rows where the tumor size is greater than or equal to 30.14. If you want to get the hormonal therapy where the average tumor size is at least 30.14, you should use the AVG function with a GROUP BY clause: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14; -```",1.3613626957,llama-70,459,1.0149795608294594,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) <= 30.14,List the hormonaltherapy which average of tumorsize is at most 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003069,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) <= 30.14;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 30.14; -``` -However, if you want to get the hormonal therapy where the average tumor size is at most 30.14, you should use the AVG function with a GROUP BY clause: -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) <= 30.14; -```",0.9722311497,llama-70,460,1.021011149629071,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) >= 389.5,List the hormonaltherapy which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003267,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize >= 389.5; -``` -However, the above SQL query will return all the rows where the tumor size is greater than or equal to 389.5. If you want to get the hormonal therapy where the summation of tumor size is at least 389.5, you should use the following query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5; -```",0.8046841621,llama-70,461,1.0347528486009832,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) <= 389.5,List the hormonaltherapy which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003267,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) <= 389.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 389.5; -``` -However, the above SQL query will return all the rows where the tumor size is less than or equal to 389.5. If you want to get the hormonal therapy where the summation of tumor size is at most 389.5, you should use the following query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) <= 389.5; -```",0.8909714222,llama-70,462,1.005226412201625,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) >= 53.95,List the hormonaltherapy which average of age is at least 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003285,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age >= 53.95; -``` -However, the above SQL query will return all the rows where the age is greater than or equal to 53.95. If you want to get the hormonaltherapy where the average age is at least 53.95, you should use the AVG function with a GROUP BY clause. Here is the correct SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95; -```",1.1386554241,llama-70,463,0.998908306281069,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) <= 53.95,List the hormonaltherapy which average of age is at most 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003573,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age <= (SELECT AVG(age) * 53.95 / AVG(age) - FROM breastCancer); -``` -However, the above query seems to be incorrect as it's multiplying the average age by 53.95 and then dividing by the average age, which will always result in 53.95. - -A more correct interpretation of the question would be to get the hormonal therapy where the average age of the patients who received that therapy is at most 53.95. - -Here's the corrected query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95; -```",1.929980278,llama-70,464,1.003101551932473,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) >= 640.5,List the hormonaltherapy which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003564,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age >= 640.5; -``` -However, the above query will return all the rows where the age is greater than or equal to 640.5. But based on the question, it seems like we need to find the hormonaltherapy where the sum of age is at least 640.5. - -In that case, we need to use the GROUP BY and HAVING clauses to group the rows by hormonaltherapy and then filter the groups where the sum of age is at least 640.5. - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5; -```",1.9402089119,llama-70,465,1.007263157362766,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) <= 640.5,List the hormonaltherapy which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003195,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) <= 640.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age <= 640.5; -``` -However, the above query will return all the rows where the age is less than or equal to 640.5. If you want to get the hormonaltherapy where the summation of age is at most 640.5, you should use the following query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) <= 640.5; -```",1.2965669632,llama-70,466,0.9978465268237499,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) >= 34.41,List the status which average of tumorsize is at least 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000252,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) >= 34.41;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) >= 34.41; -```",1.0007736683,llama-70,467,1.0034177262956818,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) <= 34.41,List the status which average of tumorsize is at most 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003294,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41;","```sql -SELECT status -FROM breastCancer -WHERE tumorsize <= 34.41; -``` -However, the above SQL query will return all the rows where the tumor size is less than or equal to 34.41. If you want to get the status where the average tumor size is at most 34.41, you should use the AVG function with GROUP BY clause. Here is the correct SQL query: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41; -```",1.3923716545,llama-70,468,1.0038756723422704,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) >= 389.5,List the status which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002529,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5; -```",0.7220051289,llama-70,469,0.9964301923378625,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) <= 389.5,List the status which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002529,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5; -```",0.7738702297,llama-70,470,1.0514630784488928,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) >= 53.44,List the status which average of age is at least 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002484,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44; -```",1.9744098186,llama-70,471,1.0241618131487025,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) <= 53.44,List the status which average of age is at most 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002484,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44; -```",1.3153550625,llama-70,472,0.994084288639257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) >= 640.5,List the status which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002493,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5; -```",1.1428394318,llama-70,473,1.0118894666268112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) <= 640.5,List the status which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002493,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) <= 640.5;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) <= 640.5; -```",0.4753808975,llama-70,474,1.0121245865191741,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) >= 10,Find all the output that have at least 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002412,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10;","```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10; -```",0.4788811207,llama-70,475,0.9970549220956618,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) <= 10,Find all the output that have at most 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002412,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) <= 10;","```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) <= 10; -```",1.8404252529,llama-70,476,1.0015929152720644,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) >= 5,Find all the chestpaintype that have at least 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002466,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5;","```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5; -```",0.626863718,llama-70,477,1.0147995217389771,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) <= 5,Find all the chestpaintype that have at most 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002466,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5;","```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5; -```",0.9949290752,llama-70,478,1.0048694960091138,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) >= 6,Find all the restingelectrocardiographicrresults that have at least 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000261,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6; -```",0.6200163364,llama-70,479,1.0117168910595051,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) <= 6,Find all the restingelectrocardiographicrresults that have at most 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000261,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6; -```",3.5053243637,llama-70,480,1.0209757525228387,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) >= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at least 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002493,"SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure >= 145.75;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure >= 145.75; -```",4.3639464378,llama-70,481,0.0,0.5,1.0,0.0,0.25,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) <= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at most 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002493,"SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 145.75;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 145.75; -```",0.887819767,llama-70,482,0.0,0.5,1.0,0.0,0.062,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003402,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure >= 1343.5; -``` -However, the above query will return all the rows where the restingbloodpressure is greater than or equal to 1343.5. If you want to get the fastingbloodsugar where the summation of restingbloodpressure is at least 1343.5, you should use the following query: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5; -```",0.8604662418,llama-70,483,1.0210782876717277,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000252,"SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 1343.5;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 1343.5; -```",0.617698431,llama-70,484,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) >= 59.17,List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003186,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) >= 59.17;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age >= 59.17; -``` -However, the question asks for the average age to be at least 59.17, which implies that we need to calculate the average age for each unique fasting blood sugar value and then filter the results. Here's the corrected SQL query: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) >= 59.17; -```",1.695810318,llama-70,485,0.9898756594348553,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) <= 59.17,List the fastingbloodsugar which average of age is at most 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005607,"SELECT fastingbloodsugar -FROM heartAttack -WHERE fastingbloodsugar IN ( - SELECT fastingbloodsugar - FROM heartAttack - GROUP BY fastingbloodsugar - HAVING AVG(age) <= 59.17 -);","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= (SELECT AVG(age) * 59.17 / AVG(age) - FROM heartAttack); -``` -However, the above query seems to be incorrect as it's multiplying the average age by 59.17 and then dividing by the average age, which will always result in 59.17. - -If you want to get the rows where the average age is at most 59.17, you should use a subquery to calculate the average age first, then use that result to filter the rows. - -Here is the correct query: -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= 59.17; -``` -Or if you want to get the average age first and then use it to filter the rows: -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= (SELECT AVG(age) - FROM heartAttack) * 1; -``` -Note that in the second query, I'm multiplying the average age by 1, which doesn't change the result, but it's there to show that you can replace the 1 with any factor you want to apply to the average age. - -However, if you want to get the rows where the average age of the rows that have the same fastingbloodsugar value is at most 59.17, you should use a subquery to calculate the average age for each fastingbloodsugar value, then use that result to filter the rows. - -Here is the query: -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE fastingbloodsugar IN ( - SELECT fastingbloodsugar - FROM heartAttack - GROUP BY fastingbloodsugar - HAVING AVG(age) <= 59.17 -); -```",5.2182004452,llama-70,486,0.0,1.0,1.0,0.0,0.056,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) >= 561.0,List the fastingbloodsugar which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000324,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) >= 561.0;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age >= 561.0; -``` -However, the above query will return the rows where age is greater than or equal to 561.0. If you want to get the fastingbloodsugar where the summation of age is at least 561.0, you should use the following query: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) >= 561.0; -```",1.9772729874,llama-70,487,0.9981865028876703,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) <= 561.0,List the fastingbloodsugar which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004455,"SELECT fastingbloodsugar -FROM ( - SELECT fastingbloodsugar, - SUM(age) OVER (ORDER BY age ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_sum - FROM heartAttack -) AS subquery -WHERE cumulative_sum <= 561.0;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= 561.0; -``` -However, the above query will return all the rows where the age is less than or equal to 561.0. If you want to get the rows where the sum of age is at most 561.0, you should use a subquery or a window function to calculate the cumulative sum. Here's how you can do it: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT SUM(age) FROM heartAttack) <= 561.0; -``` -But the above query will return all rows if the total sum of age is less than or equal to 561.0. If you want to get the rows where the cumulative sum of age is at most 561.0, you can use a window function like this: - -```sql -SELECT fastingbloodsugar -FROM ( - SELECT fastingbloodsugar, - SUM(age) OVER (ORDER BY age ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_sum - FROM heartAttack -) AS subquery -WHERE cumulative_sum <= 561.0; -```",1.4068431854,llama-70,488,0.0,0.5,1.0,0.0,0.091,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) >= 131.31,List the sex which average of restingbloodpressure is at least 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002511,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31; -```",0.4439737797,llama-70,489,1.004529811466023,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) <= 131.31,List the sex which average of restingbloodpressure is at most 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002511,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31; -```",0.6165459156,llama-70,490,0.9893711584951225,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the sex which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002538,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5; -```",0.5480725765,llama-70,491,1.0151044624200485,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002538,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5; -```",0.5898902416,llama-70,492,1.028159533581909,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) >= 58.78,List the sex which average of age is at least 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002466,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78; -```",1.3625557423,llama-70,493,0.9997336960854657,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) <= 58.78,List the sex which average of age is at most 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002466,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78; -```",0.6122741699,llama-70,494,1.0424415237889562,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) >= 561.0,List the sex which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0 -```",1.425858736,llama-70,495,1.0132726053758492,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) <= 561.0,List the sex which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0; -```",1.3694012165,llama-70,496,0.9892258454376417,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `hormonaltherapy`) = (SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`),What are the menopausalstatus with all the hormonaltherapy in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002385,"SELECT menopausalstatus, hormonaltherapy -FROM breastCancer;","```sql -SELECT menopausalstatus, hormonaltherapy -FROM breastCancer; -```",0.774948597,llama-70,497,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the menopausalstatus with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003537,"SELECT menopausalstatus -FROM breastCancer;","```sql -SELECT menopausalstatus -FROM breastCancer -WHERE status IS NOT NULL; -``` -This SQL code will fetch all the `menopausalstatus` from the `breastCancer` table where the `status` is not null, effectively returning all the menopausal statuses with their corresponding status in the table. - -However, if you want to get the menopausal status with all the status (including null), you can use the following SQL code: - -```sql -SELECT menopausalstatus -FROM breastCancer; -``` -This will return all the `menopausalstatus` from the `breastCancer` table, regardless of whether the `status` is null or not.",1.7670583725,llama-70,498,0.0,1.0,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the hormonaltherapy with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT hormonaltherapy, status -FROM breastCancer;","```sql -SELECT hormonaltherapy, status -FROM breastCancer; -```",1.4364778996,llama-70,499,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `chestpaintype`) = (SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`),What are the sex with all the chestpaintype in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT sex, chestpaintype -FROM heartAttack;","```sql -SELECT sex, chestpaintype -FROM heartAttack; -```",0.4397802353,llama-70,500,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the sex with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002349,"SELECT sex, fastingbloodsugar -FROM heartAttack;","```sql -SELECT sex, fastingbloodsugar -FROM heartAttack; -```",0.6133475304,llama-70,501,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the sex with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002439,"SELECT sex, restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT sex, restingelectrocardiographicrresults -FROM heartAttack; -```",1.2910921574,llama-70,502,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the sex with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002277,"SELECT sex -FROM heartAttack;","```sql -SELECT sex -FROM heartAttack; -```",1.1943955421,llama-70,503,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the chestpaintype with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002385,"SELECT chestpaintype, fastingbloodsugar -FROM heartAttack;","```sql -SELECT chestpaintype, fastingbloodsugar -FROM heartAttack; -```",1.1125326157,llama-70,504,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the chestpaintype with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002313,"SELECT chestpaintype -FROM heartAttack;","```sql -SELECT chestpaintype -FROM heartAttack; -```",1.5935533047,llama-70,505,0.0,0.75,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the fastingbloodsugar with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002484,"SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack; -```",0.5191254616,llama-70,506,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the fastingbloodsugar with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002349,"SELECT fastingbloodsugar, output -FROM heartAttack;","```sql -SELECT fastingbloodsugar, output -FROM heartAttack; -```",1.0584015846,llama-70,507,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the restingelectrocardiographicrresults with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT restingelectrocardiographicrresults, output -FROM heartAttack;","```sql -SELECT restingelectrocardiographicrresults, output -FROM heartAttack; -```",2.2756433487,llama-70,508,0.0,0.4,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` ASC,Show all data ordered by hormonaltherapy in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002376,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC;","```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC; -```",0.5882394314,llama-70,509,1.0418331223196902,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` DESC,Show all data ordered by hormonaltherapy in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002376,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy DESC;","```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy DESC; -```",0.5075490475,llama-70,510,0.9954781362551095,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` ASC,Show all data ordered by status in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT * -FROM breastCancer -ORDER BY status ASC;","```sql -SELECT * -FROM breastCancer -ORDER BY status ASC; -```",0.5171859264,llama-70,511,0.9954984212786714,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` DESC,Show all data ordered by status in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT * -FROM breastCancer -ORDER BY status DESC;","```sql -SELECT * -FROM breastCancer -ORDER BY status DESC; -```",1.0370857716,llama-70,512,1.0664532838190919,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` ASC,Project the tumorgrade ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC;","```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC; -```",0.5985319614,llama-70,513,0.994386170706166,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` DESC,Project the tumorgrade ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC;","```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC; -```",1.1683197021,llama-70,514,1.0292427072835453,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` ASC,Project the patientidentifier ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC;","```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC; -```",0.5251088142,llama-70,515,1.0129660322537921,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` DESC,Project the patientidentifier ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC;","```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC; -```",1.0004153252,llama-70,516,1.0031243708540634,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` ASC,Show all data ordered by numberofmajorvvessels in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels ASC;","```sql -SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels ASC; -```",0.7951922417,llama-70,517,1.0334611748119704,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` DESC,Show all data ordered by numberofmajorvvessels in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels DESC;","```sql -SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels DESC; -```",0.7590532303,llama-70,518,1.002372944392984,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` ASC,Show all data ordered by restingbloodpressure in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002376,"SELECT * -FROM heartAttack -ORDER BY restingbloodpressure ASC;","```sql -SELECT * -FROM heartAttack -ORDER BY restingbloodpressure ASC; -```",0.8550686836,llama-70,519,1.0474203494690002,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` DESC,Show all data ordered by restingbloodpressure in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002376,"SELECT * -FROM heartAttack -ORDER BY restingbloodpressure DESC;","```sql -SELECT * -FROM heartAttack -ORDER BY restingbloodpressure DESC; -```",0.9253680706,llama-70,520,1.0024177235177067,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` ASC,Project the restingelectrocardiographicrresults ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000252,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC; -```",1.1240096092,llama-70,521,1.0776562196949815,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` DESC,Project the restingelectrocardiographicrresults ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000252,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC; -```",1.442745924,llama-70,522,0.9997129257968875,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` ASC,Project the sex ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002322,"SELECT sex -FROM heartAttack -ORDER BY sex ASC;","```sql -SELECT sex -FROM heartAttack -ORDER BY sex ASC; -```",0.5906088352,llama-70,523,0.9983218016994609,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` DESC,Project the sex ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002322,"SELECT sex -FROM heartAttack -ORDER BY sex DESC;","```sql -SELECT sex -FROM heartAttack -ORDER BY sex DESC; -```",1.3354198933,llama-70,524,1.035432555685851,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `age` FROM `breastCancer`,Show all age in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002259,"SELECT age -FROM breastCancer;","```sql -SELECT age -FROM breastCancer; -```",1.6911273003,llama-70,525,1.0099710877237622,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `progesteronereceptor` FROM `breastCancer`,Show all progesteronereceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT progesteronereceptor -FROM breastCancer;","```sql -SELECT progesteronereceptor -FROM breastCancer; -```",0.513787508,llama-70,526,1.0080211029308188,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `estrogenreceptor` FROM `breastCancer`,Show all estrogenreceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002295,"SELECT estrogenreceptor -FROM breastCancer;","```sql -SELECT estrogenreceptor -FROM breastCancer; -```",1.3170309067,llama-70,527,0.9691007645579537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002259,"SELECT status -FROM breastCancer;","```sql -SELECT status -FROM breastCancer; -```",1.4594295025,llama-70,528,1.0119169208359535,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `patientidentifier` FROM `breastCancer`,Show all patientidentifier in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002277,"SELECT patientidentifier -FROM breastCancer;","```sql -SELECT patientidentifier -FROM breastCancer; -```",1.2820613384,llama-70,529,0.9988786773998263,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-ALL,SELECT * FROM `breastCancer`,Show all the rows in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002268,"SELECT * -FROM breastCancer;","```sql -SELECT * -FROM breastCancer; -```",0.9650914669,llama-70,530,1.0164735499244855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002259,"SELECT status -FROM breastCancer;","```sql -SELECT status -FROM breastCancer; -```",0.7860198021,llama-70,531,0.9383427869556284,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `tumorgrade` FROM `breastCancer`","Show all estrogenreceptor, tumorgrade in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002349,"SELECT estrogenreceptor, tumorgrade -FROM breastCancer;","```sql -SELECT estrogenreceptor, tumorgrade -FROM breastCancer; -```",0.9581120014,llama-70,532,1.0353648324311846,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `hormonaltherapy`, `patientidentifier`, `numberpositivelymphnodes` FROM `breastCancer`","Show all hormonaltherapy, patientidentifier, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002439,"SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer;","```sql -SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer; -```",1.0833928585,llama-70,533,1.0080967696805534,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, `age` FROM `breastCancer`","Show all numberpositivelymphnodes, patientidentifier, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age -FROM breastCancer;","```sql -SELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age -FROM breastCancer; -```",0.6010975838,llama-70,534,1.008337663991769,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, `age` FROM `breastCancer`","Show all estrogenreceptor, status, menopausalstatus, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002511,"SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age -FROM breastCancer;","```sql -SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age -FROM breastCancer; -```",0.7188987732,llama-70,535,1.0083135458016121,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `patientidentifier`, `hormonaltherapy`, `status`, `age`, `menopausalstatus`, `tumorsize` FROM `breastCancer`","Show all patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002547,"SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer;","```sql -SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer; -```",2.3537845612,llama-70,536,1.024475751348901,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age` FROM `breastCancer`","Show all tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002871,"SELECT - tumorgrade, - progesteronereceptor, - menopausalstatus, - estrogenreceptor, - numberpositivelymphnodes, - status, - age -FROM - breastCancer;","```sql -SELECT - tumorgrade, - progesteronereceptor, - menopausalstatus, - estrogenreceptor, - numberpositivelymphnodes, - status, - age -FROM - breastCancer; -```",1.7695217133,llama-70,537,1.0055912520342818,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, `hormonaltherapy` FROM `breastCancer`","Show all tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002853,"SELECT - tumorgrade, - status, - progesteronereceptor, - estrogenreceptor, - age, - tumorsize, - patientidentifier, - hormonaltherapy -FROM - breastCancer;","```sql -SELECT - tumorgrade, - status, - progesteronereceptor, - estrogenreceptor, - age, - tumorsize, - patientidentifier, - hormonaltherapy -FROM - breastCancer; -```",0.9759759903,llama-70,538,1.222394204928094,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorsize`, `hormonaltherapy`, `age`, `status`, `tumorgrade`, `menopausalstatus`, `progesteronereceptor`, `estrogenreceptor`, `numberpositivelymphnodes` FROM `breastCancer`","Show all tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003015,"SELECT - tumorsize, - hormonaltherapy, - age, - status, - tumorgrade, - menopausalstatus, - progesteronereceptor, - estrogenreceptor, - numberpositivelymphnodes -FROM - breastCancer;","```sql -SELECT - tumorsize, - hormonaltherapy, - age, - status, - tumorgrade, - menopausalstatus, - progesteronereceptor, - estrogenreceptor, - numberpositivelymphnodes -FROM - breastCancer; -```",0.5884304047,llama-70,539,1.0145785383675012,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingelectrocardiographicrresults` FROM `heartAttack`,Show all restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002376,"SELECT restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack; -```",1.0196881294,llama-70,540,1.051458649941593,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `fastingbloodsugar` FROM `heartAttack`,Show all fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002295,"SELECT fastingbloodsugar -FROM heartAttack;","```sql -SELECT fastingbloodsugar -FROM heartAttack; -```",0.4555339813,llama-70,541,1.018357937576353,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `thall` FROM `heartAttack`,Show all thall in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002259,"SELECT thall -FROM heartAttack;","```sql -SELECT thall -FROM heartAttack; -```",0.7411725521,llama-70,542,0.9958233612062527,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002277,"SELECT restingbloodpressure -FROM heartAttack;","```sql -SELECT restingbloodpressure -FROM heartAttack; -```",0.5047228336,llama-70,543,1.0244134673770546,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `numberofmajorvvessels` FROM `heartAttack`,Show all numberofmajorvvessels in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT numberofmajorvvessels -FROM heartAttack;","```sql -SELECT numberofmajorvvessels -FROM heartAttack; -```",0.431232214,llama-70,544,1.0114055312532917,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-ALL,SELECT * FROM `heartAttack`,Show all the rows in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000225,"SELECT * -FROM heartAttack;","```sql -SELECT * -FROM heartAttack; -```",0.4556500912,llama-70,545,1.0054619347950673,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002277,"SELECT restingbloodpressure -FROM heartAttack;","```sql -SELECT restingbloodpressure -FROM heartAttack; -```",0.520647049,llama-70,546,1.0199911466976554,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `thall` FROM `heartAttack`","Show all restingbloodpressure, thall in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT restingbloodpressure, thall -FROM heartAttack;","```sql -SELECT restingbloodpressure, thall -FROM heartAttack; -```",0.4395253658,llama-70,547,1.0098117038465608,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `sex`, `fastingbloodsugar` FROM `heartAttack`","Show all restingbloodpressure, sex, fastingbloodsugar in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002403,"SELECT restingbloodpressure, sex, fastingbloodsugar -FROM heartAttack;","```sql -SELECT restingbloodpressure, sex, fastingbloodsugar -FROM heartAttack; -```",0.4832720757,llama-70,548,0.9971176547361031,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `thall`, `sex`, `numberofmajorvvessels`, `age` FROM `heartAttack`","Show all thall, sex, numberofmajorvvessels, age in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002457,"SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack;","```sql -SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack; -```",1.5827720165,llama-70,549,1.0275894968608261,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, `numberofmajorvvessels` FROM `heartAttack`","Show all restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002835,"SELECT - restingelectrocardiographicrresults, - restingbloodpressure, - thall, - fastingbloodsugar, - numberofmajorvvessels -FROM - heartAttack;","```sql -SELECT - restingelectrocardiographicrresults, - restingbloodpressure, - thall, - fastingbloodsugar, - numberofmajorvvessels -FROM - heartAttack; -```",0.6778995991,llama-70,550,1.0141271462375134,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg` FROM `heartAttack`","Show all sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002799,"SELECT - sex, - chestpaintype, - fastingbloodsugar, - age, - numberofmajorvvessels, - cholestoralinmg -FROM - heartAttack;","```sql -SELECT - sex, - chestpaintype, - fastingbloodsugar, - age, - numberofmajorvvessels, - cholestoralinmg -FROM - heartAttack; -```",1.0177240372,llama-70,551,1.024971705562233,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `restingbloodpressure`, `age`, `fastingbloodsugar`, `sex`, `cholestoralinmg`, `restingelectrocardiographicrresults` FROM `heartAttack`","Show all numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002997,"SELECT - numberofmajorvvessels, - restingbloodpressure, - age, - fastingbloodsugar, - sex, - cholestoralinmg, - restingelectrocardiographicrresults -FROM - heartAttack;","```sql -SELECT - numberofmajorvvessels, - restingbloodpressure, - age, - fastingbloodsugar, - sex, - cholestoralinmg, - restingelectrocardiographicrresults -FROM - heartAttack; -```",0.7336373329,llama-70,552,0.9797423286429948,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, `sex` FROM `heartAttack`","Show all numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003087,"SELECT - numberofmajorvvessels, - chestpaintype, - restingelectrocardiographicrresults, - output, - fastingbloodsugar, - restingbloodpressure, - cholestoralinmg, - sex -FROM - heartAttack;","```sql -SELECT - numberofmajorvvessels, - chestpaintype, - restingelectrocardiographicrresults, - output, - fastingbloodsugar, - restingbloodpressure, - cholestoralinmg, - sex -FROM - heartAttack; -```",0.6581127644,llama-70,553,1.0380360564539441,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `chestpaintype`, `sex`, `fastingbloodsugar`, `restingelectrocardiographicrresults`, `thall`, `numberofmajorvvessels`, `age`, `output`, `restingbloodpressure` FROM `heartAttack`","Show all chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0003087,"SELECT - chestpaintype, - sex, - fastingbloodsugar, - restingelectrocardiographicrresults, - thall, - numberofmajorvvessels, - age, - output, - restingbloodpressure -FROM - heartAttack;","```sql -SELECT - chestpaintype, - sex, - fastingbloodsugar, - restingelectrocardiographicrresults, - thall, - numberofmajorvvessels, - age, - output, - restingbloodpressure -FROM - heartAttack; -```",0.5961811543,llama-70,554,1.0052081721832082,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` == 'postmenopausal',Show the data of the table breastCancer where menopausalstatus is equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal'; -```",0.5534625053,llama-70,555,1.009276834730986,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'premenopausal',Show the data of the table breastCancer where menopausalstatus is different from premenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT * -FROM breastCancer -WHERE menopausalstatus != 'premenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus != 'premenopausal'; -```",0.534393549,llama-70,556,1.0099664264393702,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'postmenopausal',Show the data of the table breastCancer where menopausalstatus not equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002475,"SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal'; -```",0.512308836,llama-70,557,1.0295713729726634,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` == 'yes',Show the data of the table breastCancer where hormonaltherapy is equal to yes,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002385,"SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes'; -```",0.5443990231,llama-70,558,1.0080208502566708,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy is different from no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002385,"SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no'; -```",0.5036838055,llama-70,559,1.0479711231147177,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy not equal to no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002385,"SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no'; -```",2.0882148743,llama-70,560,1.0176434722589394,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `status` == 'recurrenceOrDeath',Show the data of the table breastCancer where status is equal to recurrenceOrDeath,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002412,"SELECT * -FROM breastCancer -WHERE status = 'recurrenceOrDeath';","```sql -SELECT * -FROM breastCancer -WHERE status = 'recurrenceOrDeath'; -```",0.4822263718,llama-70,561,1.0065047729792684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status is different from aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002412,"SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence';","```sql -SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence'; -```",0.5513095856,llama-70,562,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status not equal to aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002421,"SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence';","```sql -SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence'; -```",0.787361145,llama-70,563,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `age` > 32,Show the data of the table breastCancer where age is greater than 32,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002376,"SELECT * -FROM breastCancer -WHERE age > 32;","```sql -SELECT * -FROM breastCancer -WHERE age > 32; -```",1.0190942287,llama-70,564,1.0329437903201837,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `progesteronereceptor` < 239,Show the data of the table breastCancer where progesteronereceptor is less than 239,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT * -FROM breastCancer -WHERE progesteronereceptor < 239;","```sql -SELECT * -FROM breastCancer -WHERE progesteronereceptor < 239; -```",0.407459259,llama-70,565,0.9969339592062961,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` == 'nonAnginalPain',Show the data of the table heartAttack where chestpaintype is equal to nonAnginalPain,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002457,"SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain'; -```",0.4122855663,llama-70,566,1.035896627074321,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'asymptomatic',Show the data of the table heartAttack where chestpaintype is different from asymptomatic,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002421,"SELECT * -FROM heartAttack -WHERE chestpaintype != 'asymptomatic';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype != 'asymptomatic'; -```",0.4658813477,llama-70,567,1.046647298098871,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'typicalAngina',Show the data of the table heartAttack where chestpaintype not equal to typicalAngina,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT * -FROM heartAttack -WHERE chestpaintype != 'typicalAngina';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype != 'typicalAngina'; -```",1.8843255043,llama-70,568,1.0265348835367412,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` == 'leftVentricularHypertrophy',Show the data of the table heartAttack where restingelectrocardiographicrresults is equal to leftVentricularHypertrophy,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000261,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy'; -```",1.5325469971,llama-70,569,0.9892161583504281,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'normal',Show the data of the table heartAttack where restingelectrocardiographicrresults is different from normal,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002493,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'normal';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'normal'; -```",1.6486530304,llama-70,570,1.036999874412779,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'STTWaveAbnormality',Show the data of the table heartAttack where restingelectrocardiographicrresults not equal to STTWaveAbnormality,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002565,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'ST-T wave abnormality';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'ST-T wave abnormality'; -```",0.9145686626,llama-70,571,0.0,0.762,1.0,0.0,0.65,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` == 'noHeartAttack',Show the data of the table heartAttack where output is equal to noHeartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002385,"SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack';","```sql -SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack'; -```",0.5181500912,llama-70,572,1.0336800468880072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output is different from heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT * -FROM heartAttack -WHERE output != 'heartAttack';","```sql -SELECT * -FROM heartAttack -WHERE output != 'heartAttack'; -```",0.8323197365,llama-70,573,0.9952255801518914,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output not equal to heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT * -FROM heartAttack -WHERE output != 'heartAttack';","```sql -SELECT * -FROM heartAttack -WHERE output != 'heartAttack'; -```",0.7784361839,llama-70,574,1.0561083703820562,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `numberofmajorvvessels` > 2,Show the data of the table heartAttack where numberofmajorvvessels is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002448,"SELECT * -FROM heartAttack -WHERE numberofmajorvvessels > 2;","```sql -SELECT * -FROM heartAttack -WHERE numberofmajorvvessels > 2; -```",0.8726203442,llama-70,575,0.9981843889763217,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` > 197,Show the data of the table heartAttack where cholestoralinmg is greater than 197,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197;","```sql -SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197; -```",0.7485516071,llama-70,576,1.0222687253861371,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` < 211,Show the data of the table heartAttack where cholestoralinmg is less than 211,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT * -FROM heartAttack -WHERE cholestoralinmg < 211;","```sql -SELECT * -FROM heartAttack -WHERE cholestoralinmg < 211; -```",3.2274897099,llama-70,577,1.009728509083478,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `thall` > 2,Show the data of the table heartAttack where thall is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002376,"SELECT * -FROM heartAttack -WHERE thall > 2;","```sql -SELECT * -FROM heartAttack -WHERE thall > 2; -```",1.5983376503,llama-70,578,1.039500101523962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `menopausalstatus`) FROM `breastCancer`,How many different menopausalstatus are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002367,"SELECT COUNT(DISTINCT menopausalstatus) -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT menopausalstatus) -FROM breastCancer; -```",0.832587719,llama-70,579,1.0142685371805942,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`,How many different hormonaltherapy are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT COUNT(DISTINCT hormonaltherapy) -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT hormonaltherapy) -FROM breastCancer; -```",0.4108700752,llama-70,580,1.0096614203693954,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `status`) FROM `breastCancer`,How many different status are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002313,"SELECT COUNT(DISTINCT status) -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT status) -FROM breastCancer; -```",0.3875145912,llama-70,581,1.0067778273751435,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`progesteronereceptor`) FROM `breastCancer`,Find the maximum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT MAX(progesteronereceptor) -FROM breastCancer;","```sql -SELECT MAX(progesteronereceptor) -FROM breastCancer; -```",0.4407570362,llama-70,582,1.0303107524561186,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`progesteronereceptor`) FROM `breastCancer`,Find the minimum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT MIN(progesteronereceptor) -FROM breastCancer;","```sql -SELECT MIN(progesteronereceptor) -FROM breastCancer; -```",0.4707934856,llama-70,583,1.0093714111827052,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`progesteronereceptor`) FROM `breastCancer`,Find the average progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT AVG(progesteronereceptor) -FROM breastCancer;","```sql -SELECT AVG(progesteronereceptor) -FROM breastCancer; -```",0.427816391,llama-70,584,1.0621512987371058,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`estrogenreceptor`) FROM `breastCancer`,Find the maximum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT MAX(estrogenreceptor) -FROM breastCancer;","```sql -SELECT MAX(estrogenreceptor) -FROM breastCancer; -```",0.4068982601,llama-70,585,1.0004629629877644,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`estrogenreceptor`) FROM `breastCancer`,Find the minimum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT MIN(estrogenreceptor) -FROM breastCancer;","```sql -SELECT MIN(estrogenreceptor) -FROM breastCancer; -```",0.5944390297,llama-70,586,1.0000901963060005,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`estrogenreceptor`) FROM `breastCancer`,Find the average estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT AVG(estrogenreceptor) -FROM breastCancer;","```sql -SELECT AVG(estrogenreceptor) -FROM breastCancer; -```",0.6109793186,llama-70,587,1.015021075294487,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `sex`) FROM `heartAttack`,How many different sex are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002295,"SELECT COUNT(DISTINCT sex) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT sex) -FROM heartAttack; -```",0.4515810013,llama-70,588,1.003334237401113,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`,How many different chestpaintype are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002331,"SELECT COUNT(DISTINCT chestpaintype) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT chestpaintype) -FROM heartAttack; -```",0.4757270813,llama-70,589,0.998735267072682,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`,How many different fastingbloodsugar are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002349,"SELECT COUNT(DISTINCT fastingbloodsugar) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT fastingbloodsugar) -FROM heartAttack; -```",0.4460675716,llama-70,590,1.054961021869209,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`,How many different restingelectrocardiographicrresults are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000243,"SELECT COUNT(DISTINCT restingelectrocardiographicrresults) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT restingelectrocardiographicrresults) -FROM heartAttack; -```",0.5973894596,llama-70,591,1.0261289646354987,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `output`) FROM `heartAttack`,How many different output are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002295,"SELECT COUNT(DISTINCT output) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT output) -FROM heartAttack; -```",1.5913906097,llama-70,592,1.0124436231426757,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`numberofmajorvvessels`) FROM `heartAttack`,Find the maximum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT MAX(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT MAX(numberofmajorvvessels) -FROM heartAttack; -```",0.4496183395,llama-70,593,1.0115829428094467,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`numberofmajorvvessels`) FROM `heartAttack`,Find the minimum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT MIN(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT MIN(numberofmajorvvessels) -FROM heartAttack; -```",0.4699373245,llama-70,594,1.0135226728701214,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`numberofmajorvvessels`) FROM `heartAttack`,Find the average numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002358,"SELECT AVG(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT AVG(numberofmajorvvessels) -FROM heartAttack; -```",0.4639532566,llama-70,595,1.0161219888581872,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`thall`) FROM `heartAttack`,Find the maximum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002286,"SELECT MAX(thall) -FROM heartAttack;","```sql -SELECT MAX(thall) -FROM heartAttack; -```",0.6807706356,llama-70,596,1.0122393063953223,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`thall`) FROM `heartAttack`,Find the minimum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002286,"SELECT MIN(thall) -FROM heartAttack;","```sql -SELECT MIN(thall) -FROM heartAttack; -```",0.7070946693,llama-70,597,1.0012019566205081,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`thall`) FROM `heartAttack`,Find the average thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0002286,"SELECT AVG(thall) -FROM heartAttack;","```sql -SELECT AVG(thall) -FROM heartAttack; -```",0.5241913795,llama-70,598,1.0194626397163749,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `nativecountry` FROM `adultCensus`,Show the different nativecountry in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002007,"SELECT DISTINCT nativecountry -FROM adultCensus;","```sql -SELECT DISTINCT nativecountry -FROM adultCensus; -```",0.9218099117,llama-70,599,1.016981150417754,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `adultCensus`,Show the different sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT DISTINCT sex -FROM adultCensus;","```sql -SELECT DISTINCT sex -FROM adultCensus; -```",0.6210238934,llama-70,600,1.0009852574271596,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `race` FROM `adultCensus`,Show the different race in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT DISTINCT race -FROM adultCensus;","```sql -SELECT DISTINCT race -FROM adultCensus; -```",0.8443033695,llama-70,601,1.0061266080644846,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `workclass` FROM `adultCensus`,Show the different workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002007,"SELECT DISTINCT workclass -FROM adultCensus;","```sql -SELECT DISTINCT workclass -FROM adultCensus; -```",0.6730241776,llama-70,602,1.0092442911250659,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `income` FROM `adultCensus`,Show the different income in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT DISTINCT income -FROM adultCensus;","```sql -SELECT DISTINCT income -FROM adultCensus; -```",0.404052496,llama-70,603,1.0036176497562452,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `odor` FROM `mushrooms`,Show the different odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001953,"SELECT DISTINCT odor -FROM mushrooms;","```sql -SELECT DISTINCT odor -FROM mushrooms; -```",0.4023411274,llama-70,604,1.0083001286061226,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillspacing` FROM `mushrooms`,Show the different gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT DISTINCT gillspacing -FROM mushrooms;","```sql -SELECT DISTINCT gillspacing -FROM mushrooms; -```",0.4620676041,llama-70,605,1.0144703270815905,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capshape` FROM `mushrooms`,Show the different capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001971,"SELECT DISTINCT capshape -FROM mushrooms;","```sql -SELECT DISTINCT capshape -FROM mushrooms; -```",0.5186786652,llama-70,606,1.0001418540329146,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillsize` FROM `mushrooms`,Show the different gillsize in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT DISTINCT gillsize -FROM mushrooms;","```sql -SELECT DISTINCT gillsize -FROM mushrooms; -```",0.372253418,llama-70,607,1.0424087807648268,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capsurface` FROM `mushrooms`,Show the different capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001971,"SELECT DISTINCT capsurface -FROM mushrooms;","```sql -SELECT DISTINCT capsurface -FROM mushrooms; -```",0.5169727802,llama-70,608,1.0044274206120822,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `education`, COUNT(*) FROM `adultCensus` GROUP BY `education`","For each education, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002169,"SELECT - education, - COUNT(*) as count -FROM - adultCensus -GROUP BY - education;","```sql -SELECT - education, - COUNT(*) as count -FROM - adultCensus -GROUP BY - education; -```",0.8293304443,llama-70,609,1.0092414873405213,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `maritalstatus`, COUNT(*) FROM `adultCensus` GROUP BY `maritalstatus`","For each maritalstatus, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002196,"SELECT - maritalstatus, - COUNT(*) as count -FROM - adultCensus -GROUP BY - maritalstatus;","```sql -SELECT - maritalstatus, - COUNT(*) as count -FROM - adultCensus -GROUP BY - maritalstatus; -```",0.5160274506,llama-70,610,1.0079428003112307,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `race`, COUNT(*) FROM `adultCensus` GROUP BY `race`","For each race, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002169,"SELECT - race, - COUNT(*) as count -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - COUNT(*) as count -FROM - adultCensus -GROUP BY - race; -```",0.7151520252,llama-70,611,1.0233811310174967,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `nativecountry`, COUNT(*) FROM `adultCensus` GROUP BY `nativecountry`","For each nativecountry, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002106,"SELECT nativecountry, COUNT(*) -FROM adultCensus -GROUP BY nativecountry;","```sql -SELECT nativecountry, COUNT(*) -FROM adultCensus -GROUP BY nativecountry; -```",0.5221273899,llama-70,612,1.0048890847377592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `workclass`, COUNT(*) FROM `adultCensus` GROUP BY `workclass`","For each workclass, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002196,"SELECT - workclass, - COUNT(*) as count -FROM - adultCensus -GROUP BY - workclass;","```sql -SELECT - workclass, - COUNT(*) as count -FROM - adultCensus -GROUP BY - workclass; -```",0.4704890251,llama-70,613,1.0082533012459993,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `race`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002241,"SELECT - race, - MIN(hoursperweek) as min_hours_per_week -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - MIN(hoursperweek) as min_hours_per_week -FROM - adultCensus -GROUP BY - race; -```",0.588037014,llama-70,614,1.0223150691368676,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `race`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002241,"SELECT - race, - MAX(hoursperweek) as max_hoursperweek -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - MAX(hoursperweek) as max_hoursperweek -FROM - adultCensus -GROUP BY - race; -```",0.4996061325,llama-70,615,1.0048902981311918,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `race`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002241,"SELECT - race, - AVG(hoursperweek) AS average_hours_per_week -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - AVG(hoursperweek) AS average_hours_per_week -FROM - adultCensus -GROUP BY - race; -```",0.6490681171,llama-70,616,1.0267708930807986,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `race`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002241,"SELECT - race, - SUM(hoursperweek) AS total_hours_per_week -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - SUM(hoursperweek) AS total_hours_per_week -FROM - adultCensus -GROUP BY - race; -```",0.67856884,llama-70,617,0.9984976654961876,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `education`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002124,"SELECT education, MIN(hoursperweek) -FROM adultCensus -GROUP BY education;","```sql -SELECT education, MIN(hoursperweek) -FROM adultCensus -GROUP BY education; -```",0.734167099,llama-70,618,1.0081603312653356,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `education`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002169,"SELECT education, MAX(hoursperweek) as max_hoursperweek -FROM adultCensus -GROUP BY education;","```sql -SELECT education, MAX(hoursperweek) as max_hoursperweek -FROM adultCensus -GROUP BY education; -```",0.5677416325,llama-70,619,1.0222098915375588,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `education`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002241,"SELECT - education, - AVG(hoursperweek) AS average_hours_per_week -FROM - adultCensus -GROUP BY - education;","```sql -SELECT - education, - AVG(hoursperweek) AS average_hours_per_week -FROM - adultCensus -GROUP BY - education; -```",0.5649442673,llama-70,620,1.016101845118972,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `education`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002241,"SELECT - education, - SUM(hoursperweek) AS total_hours_per_week -FROM - adultCensus -GROUP BY - education;","```sql -SELECT - education, - SUM(hoursperweek) AS total_hours_per_week -FROM - adultCensus -GROUP BY - education; -```",0.7589478493,llama-70,621,0.9897425254248841,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillcolor`, COUNT(*) FROM `mushrooms` GROUP BY `gillcolor`","For each gillcolor, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002097,"SELECT gillcolor, COUNT(*) -FROM mushrooms -GROUP BY gillcolor;","```sql -SELECT gillcolor, COUNT(*) -FROM mushrooms -GROUP BY gillcolor; -```",0.9449203014,llama-70,622,0.98527750774052,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `bruises`, COUNT(*) FROM `mushrooms` GROUP BY `bruises`","For each bruises, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT bruises, COUNT(*) -FROM mushrooms -GROUP BY bruises;","```sql -SELECT bruises, COUNT(*) -FROM mushrooms -GROUP BY bruises; -```",0.4911036491,llama-70,623,0.9885101680150725,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillsize`, COUNT(*) FROM `mushrooms` GROUP BY `gillsize`","For each gillsize, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002187,"SELECT - gillsize, - COUNT(*) as count -FROM - mushrooms -GROUP BY - gillsize;","```sql -SELECT - gillsize, - COUNT(*) as count -FROM - mushrooms -GROUP BY - gillsize; -```",0.4999606609,llama-70,624,1.0122646630977856,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `class`, COUNT(*) FROM `mushrooms` GROUP BY `class`","For each class, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002142,"SELECT - class, - COUNT(*) as row_count -FROM - mushrooms -GROUP BY - class;","```sql -SELECT - class, - COUNT(*) as row_count -FROM - mushrooms -GROUP BY - class; -```",0.4840068817,llama-70,625,1.0221153904621454,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `capsurface`, COUNT(*) FROM `mushrooms` GROUP BY `capsurface`","For each capsurface, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002169,"SELECT - capsurface, - COUNT(*) as row_count -FROM - mushrooms -GROUP BY - capsurface;","```sql -SELECT - capsurface, - COUNT(*) as row_count -FROM - mushrooms -GROUP BY - capsurface; -```",1.3280191422,llama-70,626,1.0283376169785257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) >= 10,Find all the race that have at least 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002142,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10;","```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10; -```",0.4600272179,llama-70,627,1.003401528350772,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) <= 10,Find all the race that have at most 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002142,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10;","```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10; -```",0.9912688732,llama-70,628,1.0353527316883677,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) >= 4,Find all the relationship that have at least 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002142,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4; -```",0.42552495,llama-70,629,1.0147273505373537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) <= 4,Find all the relationship that have at most 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002142,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4; -```",0.6285169125,llama-70,630,0.9985096489739739,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) >= 5,Find all the maritalstatus that have at least 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002169,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5;","```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5; -```",0.4145739079,llama-70,631,1.0561399735855543,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) <= 5,Find all the maritalstatus that have at most 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002169,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5;","```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5; -```",0.4069616795,llama-70,632,1.0065377531755035,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) >= 42.72,List the nativecountry which average of hoursperweek is at least 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002259,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72; -```",0.8505032063,llama-70,633,0.9928145278055315,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) <= 42.72,List the nativecountry which average of hoursperweek is at most 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0003051,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72;","```sql -SELECT nativecountry -FROM adultCensus -WHERE hoursperweek <= 42.72; -``` -However, the above query will return all rows where hoursperweek is less than or equal to 42.72. If you want to get the nativecountry where the average of hoursperweek is at most 42.72, you should use the AVG function with GROUP BY clause. Here is the correct query: - -```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72; -```",0.9944987297,llama-70,634,1.0525102080939415,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) >= 270.33,List the nativecountry which summation of hoursperweek is at least 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002268,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33; -```",0.8843927383,llama-70,635,1.0014429680217452,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) <= 270.33,List the nativecountry which summation of hoursperweek is at most 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002268,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33; -```",0.5764095783,llama-70,636,1.012583729240613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) >= 36.84,List the relationship which average of hoursperweek is at least 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002232,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84; -```",0.5754189491,llama-70,637,0.9920057850802778,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) <= 36.84,List the relationship which average of hoursperweek is at most 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0003546,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84;","```sql -SELECT relationship -FROM adultCensus -WHERE hoursperweek <= (SELECT AVG(hoursperweek) * 1.05 - FROM adultCensus - WHERE AVG(hoursperweek) <= 36.84); -``` -However, the above query will not give the correct result because the subquery is trying to get the average of the entire table and then multiply it by 1.05 and check if it's less than or equal to 36.84 which doesn't make sense. - -Instead, we should directly filter the rows where the average of hoursperweek is at most 36.84 for each relationship. We can achieve this by using the GROUP BY clause and the HAVING clause. - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84; -```",1.2628979683,llama-70,638,1.0453914360005854,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) >= 162.2,List the relationship which summation of hoursperweek is at least 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002241,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2; -```",0.4721677303,llama-70,639,0.968008630362469,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) <= 162.2,List the relationship which summation of hoursperweek is at most 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0003618,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2;","```sql -SELECT relationship -FROM adultCensus -WHERE hoursperweek <= 162.2; -``` -However, the above SQL query will return all the rows where `hoursperweek` is less than or equal to 162.2. If you want to get the distinct relationships where the sum of `hoursperweek` is at most 162.2, you would need to use a subquery or a GROUP BY clause. But since the question is asking for the relationship where the summation of `hoursperweek` is at most 162.2, I assume it's asking for the relationships where the sum of `hoursperweek` for each relationship is at most 162.2. - -Here is the corrected SQL query: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2; -```",1.0965640545,llama-70,640,1.0185581790901408,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) >= 5,Find all the capshape that have at least 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002133,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5;","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5; -```",0.5215344429,llama-70,641,1.0060899503923397,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) <= 5,Find all the capshape that have at most 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002133,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5;","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5; -```",0.575199604,llama-70,642,1.0074807924923568,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) >= 6,Find all the capsurface that have at least 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002133,"SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6;","```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6; -```",0.6461734772,llama-70,643,1.0273334649618473,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) <= 6,Find all the capsurface that have at most 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002133,"SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6;","```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6; -```",0.5836150646,llama-70,644,1.0257120902163996,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) >= 10,Find all the class that have at least 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002106,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10;","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10; -```",1.2040624619,llama-70,645,1.0012121916120773,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) <= 10,Find all the class that have at most 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002106,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10;","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10; -```",0.5809152126,llama-70,646,1.0528935977689038,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the workclass with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002736,"SELECT DISTINCT workclass, maritalstatus -FROM adultCensus;","```sql -SELECT workclass, maritalstatus -FROM adultCensus; -``` -This SQL query will return all the rows from the `adultCensus` table with `workclass` and `maritalstatus` columns. If you want to get distinct combinations of `workclass` and `maritalstatus`, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT workclass, maritalstatus -FROM adultCensus; -```",0.8755497932,llama-70,647,0.0,0.1,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the workclass with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT workclass, race -FROM adultCensus;","```sql -SELECT workclass, race -FROM adultCensus; -```",0.5615649223,llama-70,648,0.0,0.25,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the workclass with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT workclass, sex -FROM adultCensus;","```sql -SELECT workclass, sex -FROM adultCensus; -```",0.6818723679,llama-70,649,0.0,0.25,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the workclass with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002061,"SELECT workclass, nativecountry -FROM adultCensus;","```sql -SELECT workclass, nativecountry -FROM adultCensus; -```",0.5058617592,llama-70,650,0.0,0.111,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the workclass with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT workclass, income -FROM adultCensus;","```sql -SELECT workclass, income -FROM adultCensus; -```",0.4949111938,llama-70,651,0.0,0.25,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the education with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT education, maritalstatus -FROM adultCensus;","```sql -SELECT education, maritalstatus -FROM adultCensus; -```",0.6061558723,llama-70,652,0.0,0.083,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `relationship`) = (SELECT COUNT(DISTINCT `relationship`) FROM `adultCensus`),What are the education with all the relationship in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT education, relationship -FROM adultCensus;","```sql -SELECT education, relationship -FROM adultCensus; -```",0.8401210308,llama-70,653,0.0,0.077,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the education with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT education, race -FROM adultCensus;","```sql -SELECT education, race -FROM adultCensus; -```",0.5028088093,llama-70,654,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the education with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT education, sex -FROM adultCensus;","```sql -SELECT education, sex -FROM adultCensus; -```",1.0903654099,llama-70,655,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the education with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT education, income -FROM adultCensus;","```sql -SELECT education, income -FROM adultCensus; -```",0.6092026234,llama-70,656,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the maritalstatus with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002052,"SELECT DISTINCT maritalstatus, race -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus, race -FROM adultCensus; -```",1.1949851513,llama-70,657,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the maritalstatus with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT maritalstatus, sex -FROM adultCensus;","```sql -SELECT maritalstatus, sex -FROM adultCensus; -```",0.5158190727,llama-70,658,0.0,0.333,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the maritalstatus with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT maritalstatus, income -FROM adultCensus;","```sql -SELECT maritalstatus, income -FROM adultCensus; -```",0.5047814846,llama-70,659,0.0,0.5,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the occupation with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT occupation, race -FROM adultCensus;","```sql -SELECT occupation, race -FROM adultCensus; -```",0.5368509293,llama-70,660,0.0,0.083,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the occupation with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT occupation, sex -FROM adultCensus;","```sql -SELECT occupation, sex -FROM adultCensus; -```",0.8067829609,llama-70,661,0.0,0.25,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the occupation with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT occupation, income -FROM adultCensus;","```sql -SELECT occupation, income -FROM adultCensus; -```",0.4793725014,llama-70,662,0.0,0.25,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the relationship with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT relationship, race -FROM adultCensus;","```sql -SELECT relationship, race -FROM adultCensus; -```",0.5752825737,llama-70,663,0.0,0.286,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the relationship with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT relationship, sex -FROM adultCensus;","```sql -SELECT relationship, sex -FROM adultCensus; -```",0.4650263786,llama-70,664,0.0,0.286,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the relationship with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT relationship, income -FROM adultCensus;","```sql -SELECT relationship, income -FROM adultCensus; -```",0.5229744911,llama-70,665,0.0,0.429,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the race with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000234,"SELECT race -FROM adultCensus -WHERE sex IN (SELECT sex FROM adultCensus) -GROUP BY race -HAVING COUNT(DISTINCT sex) = (SELECT COUNT(DISTINCT sex) FROM adultCensus);","```sql -SELECT race -FROM adultCensus -WHERE sex IN (SELECT sex FROM adultCensus) -GROUP BY race -HAVING COUNT(DISTINCT sex) = (SELECT COUNT(DISTINCT sex) FROM adultCensus); -```",0.6641061306,llama-70,666,1.0321389822479174,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the race with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002052,"SELECT DISTINCT race, nativecountry -FROM adultCensus;","```sql -SELECT DISTINCT race, nativecountry -FROM adultCensus; -```",1.1328985691,llama-70,667,0.0,0.2,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the race with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000207,"SELECT DISTINCT race -FROM adultCensus -WHERE income IS NOT NULL;","```sql -SELECT DISTINCT race -FROM adultCensus -WHERE income IS NOT NULL; -```",1.1821010113,llama-70,668,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `sex` FROM `adultCensus` GROUP BY `sex` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the sex with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT sex, income -FROM adultCensus;","```sql -SELECT sex, income -FROM adultCensus; -```",1.7816126347,llama-70,669,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the nativecountry with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT nativecountry, income -FROM adultCensus;","```sql -SELECT nativecountry, income -FROM adultCensus; -```",1.1845993996,llama-70,670,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the class with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT class -FROM mushrooms -WHERE capsurface = 'ALL';","```sql -SELECT class -FROM mushrooms -WHERE capsurface = 'ALL'; -```",0.9742937088,llama-70,671,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the class with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002007,"SELECT class, capcolor -FROM mushrooms;","```sql -SELECT class, capcolor -FROM mushrooms; -```",0.7664978504,llama-70,672,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the class with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT class -FROM mushrooms -WHERE bruises = 't';","```sql -SELECT class -FROM mushrooms -WHERE bruises = 't'; -```",0.6988928318,llama-70,673,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the class with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT class, gillattachment -FROM mushrooms;","```sql -SELECT class, gillattachment -FROM mushrooms; -```",0.8546772003,llama-70,674,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the class with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT class, gillspacing -FROM mushrooms;","```sql -SELECT class, gillspacing -FROM mushrooms; -```",0.6579768658,llama-70,675,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the class with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT class, gillsize -FROM mushrooms;","```sql -SELECT class, gillsize -FROM mushrooms; -```",0.4318544865,llama-70,676,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the capshape with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT capshape, capsurface -FROM mushrooms;","```sql -SELECT capshape, capsurface -FROM mushrooms; -```",0.5846686363,llama-70,677,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the capshape with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT capshape, capcolor -FROM mushrooms;","```sql -SELECT capshape, capcolor -FROM mushrooms; -```",0.4799075127,llama-70,678,0.0,0.111,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capshape with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capshape -FROM mushrooms -WHERE bruises = 't';","```sql -SELECT capshape -FROM mushrooms -WHERE bruises = 't'; -```",0.5831849575,llama-70,679,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capshape with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002052,"SELECT DISTINCT capshape, gillattachment -FROM mushrooms;","```sql -SELECT DISTINCT capshape, gillattachment -FROM mushrooms; -```",0.6349349022,llama-70,680,0.0,0.167,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capshape with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capshape, gillspacing -FROM mushrooms;","```sql -SELECT capshape, gillspacing -FROM mushrooms; -```",0.4743893147,llama-70,681,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capshape with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capshape, gillsize -FROM mushrooms;","```sql -SELECT capshape, gillsize -FROM mushrooms; -```",0.6724860668,llama-70,682,0.0,0.333,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capsurface with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capsurface -FROM mushrooms -WHERE bruises = 't';","```sql -SELECT capsurface -FROM mushrooms -WHERE bruises = 't'; -```",0.7588694096,llama-70,683,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capsurface with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capsurface, gillattachment -FROM mushrooms;","```sql -SELECT capsurface, gillattachment -FROM mushrooms; -```",0.4498047829,llama-70,684,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capsurface with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capsurface, gillspacing -FROM mushrooms;","```sql -SELECT capsurface, gillspacing -FROM mushrooms; -```",1.4109652042,llama-70,685,0.0,0.4,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capsurface with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capsurface, gillsize -FROM mushrooms;","```sql -SELECT capsurface, gillsize -FROM mushrooms; -```",0.5617551804,llama-70,686,0.0,0.6,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capcolor with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capcolor -FROM mushrooms -WHERE bruises = 't';","```sql -SELECT capcolor -FROM mushrooms -WHERE bruises = 't'; -```",0.4763879776,llama-70,687,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capcolor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capcolor, gillattachment -FROM mushrooms;","```sql -SELECT capcolor, gillattachment -FROM mushrooms; -```",0.3777575493,llama-70,688,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capcolor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capcolor, gillspacing -FROM mushrooms;","```sql -SELECT capcolor, gillspacing -FROM mushrooms; -```",0.5598359108,llama-70,689,0.0,0.286,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capcolor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capcolor, gillsize -FROM mushrooms;","```sql -SELECT capcolor, gillsize -FROM mushrooms; -```",0.5980501175,llama-70,690,0.0,0.571,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the bruises with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0003663,"SELECT gillattachment, bruises -FROM mushrooms -ORDER BY gillattachment;","```sql -SELECT bruises -FROM mushrooms -WHERE gillattachment = 'a'; -``` -However, the above SQL query will return the bruises where the gillattachment is 'a'. If you want to get all the bruises with all the gillattachment, you can use the following query: - -```sql -SELECT DISTINCT bruises, gillattachment -FROM mushrooms; -``` -This query will return all the unique combinations of bruises and gillattachment in the mushrooms table. - -If you want to get all the bruises for each gillattachment, you can use the following query: - -```sql -SELECT gillattachment, bruises -FROM mushrooms -ORDER BY gillattachment; -``` -This query will return all the bruises for each gillattachment, ordered by the gillattachment. - -Please note that the exact query may vary depending on the desired output. The above queries are based on the assumption that you want to get all the bruises with all the gillattachment.",1.8878698349,llama-70,691,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the bruises with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002106,"SELECT bruises -FROM mushrooms -WHERE gillspacing IS NOT NULL AND gillspacing != '';","```sql -SELECT bruises -FROM mushrooms -WHERE gillspacing IS NOT NULL AND gillspacing != ''; -```",0.4581811428,llama-70,692,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the bruises with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002061,"SELECT bruises -FROM mushrooms -WHERE gillsize IS NOT NULL;","```sql -SELECT bruises -FROM mushrooms -WHERE gillsize IS NOT NULL; -```",0.5084857941,llama-70,693,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the odor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT odor, gillattachment -FROM mushrooms;","```sql -SELECT odor, gillattachment -FROM mushrooms; -```",0.5296401978,llama-70,694,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the odor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT odor, gillspacing -FROM mushrooms;","```sql -SELECT odor, gillspacing -FROM mushrooms; -```",2.4001305103,llama-70,695,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the odor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT odor, gillsize -FROM mushrooms;","```sql -SELECT odor, gillsize -FROM mushrooms; -```",0.8192429543,llama-70,696,0.0,0.286,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the gillattachment with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002061,"SELECT gillattachment, gillspacing -FROM mushrooms;","```sql -SELECT gillattachment, gillspacing -FROM mushrooms; -```",0.5956573486,llama-70,697,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillattachment with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002061,"SELECT gillattachment, gillsize -FROM mushrooms;","```sql -SELECT gillattachment, gillsize -FROM mushrooms; -```",1.394649744,llama-70,698,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillspacing with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002061,"SELECT gillspacing, gillsize -FROM mushrooms;","```sql -SELECT gillspacing, gillsize -FROM mushrooms; -```",1.7732241154,llama-70,699,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillcolor`) = (SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`),What are the gillspacing with all the gillcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002061,"SELECT gillspacing, gillcolor -FROM mushrooms;","```sql -SELECT gillspacing, gillcolor -FROM mushrooms; -```",0.7939381599,llama-70,700,0.0,0.091,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` ASC,Show all data ordered by hoursperweek in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002106,"SELECT * -FROM adultCensus -ORDER BY hoursperweek ASC;","```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek ASC; -```",0.9287443161,llama-70,701,1.0004458809444587,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` DESC,Show all data ordered by hoursperweek in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002106,"SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC;","```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC; -```",1.531358242,llama-70,702,1.0480629892989173,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` ASC,Show all data ordered by income in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000207,"SELECT * -FROM adultCensus -ORDER BY income ASC;","```sql -SELECT * -FROM adultCensus -ORDER BY income ASC; -```",1.1757669449,llama-70,703,1.0020837212198948,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` DESC,Show all data ordered by income in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000207,"SELECT * -FROM adultCensus -ORDER BY income DESC;","```sql -SELECT * -FROM adultCensus -ORDER BY income DESC; -```",0.4197268486,llama-70,704,1.0301627383527332,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` ASC,Project the maritalstatus ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002079,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC;","```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC; -```",1.0671591759,llama-70,705,0.9999051292302675,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` DESC,Project the maritalstatus ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002079,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC;","```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC; -```",0.5797593594,llama-70,706,1.0287133366022347,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` ASC,Project the relationship ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002052,"SELECT relationship -FROM adultCensus -ORDER BY relationship ASC;","```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship ASC; -```",0.9223051071,llama-70,707,1.0217048703761589,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` DESC,Project the relationship ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002052,"SELECT relationship -FROM adultCensus -ORDER BY relationship DESC;","```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship DESC; -```",1.5465745926,llama-70,708,1.006637622274558,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` ASC,Show all data ordered by class in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002034,"SELECT * -FROM mushrooms -ORDER BY class ASC;","```sql -SELECT * -FROM mushrooms -ORDER BY class ASC; -```",0.8402192593,llama-70,709,1.0215286147818652,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` DESC,Show all data ordered by class in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002034,"SELECT * -FROM mushrooms -ORDER BY class DESC;","```sql -SELECT * -FROM mushrooms -ORDER BY class DESC; -```",0.5541474819,llama-70,710,1.00462906623981,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` ASC,Show all data ordered by gillattachment in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000207,"SELECT * -FROM mushrooms -ORDER BY gillattachment ASC;","```sql -SELECT * -FROM mushrooms -ORDER BY gillattachment ASC; -```",0.5197060108,llama-70,711,1.0225576356382269,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` DESC,Show all data ordered by gillattachment in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000207,"SELECT * -FROM mushrooms -ORDER BY gillattachment DESC;","```sql -SELECT * -FROM mushrooms -ORDER BY gillattachment DESC; -```",0.4776992798,llama-70,712,1.007862741488603,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` ASC,Project the gillspacing ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000207,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC;","```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC; -```",0.491464138,llama-70,713,1.0444289963472222,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` DESC,Project the gillspacing ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000207,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC;","```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC; -```",0.566031456,llama-70,714,1.0557872164817945,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` ASC,Project the capcolor ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capcolor -FROM mushrooms -ORDER BY capcolor ASC;","```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor ASC; -```",0.3831079006,llama-70,715,1.0164507471133917,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` DESC,Project the capcolor ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC;","```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC; -```",0.4954020977,llama-70,716,1.0236839763762424,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `sex` FROM `adultCensus`,Show all sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001971,"SELECT sex -FROM adultCensus;","```sql -SELECT sex -FROM adultCensus; -```",0.5589811802,llama-70,717,1.011302362588271,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `hoursperweek` FROM `adultCensus`,Show all hoursperweek in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002007,"SELECT hoursperweek -FROM adultCensus;","```sql -SELECT hoursperweek -FROM adultCensus; -```",0.6721401215,llama-70,718,1.045363967801194,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `workclass` FROM `adultCensus`,Show all workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT workclass -FROM adultCensus;","```sql -SELECT workclass -FROM adultCensus; -```",0.4830961227,llama-70,719,1.010233987428006,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT maritalstatus -FROM adultCensus;","```sql -SELECT maritalstatus -FROM adultCensus; -```",0.3692340851,llama-70,720,1.0163404813603674,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `education` FROM `adultCensus`,Show all education in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001971,"SELECT education -FROM adultCensus;","```sql -SELECT education -FROM adultCensus; -```",0.4444117546,llama-70,721,1.0410172941035247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-ALL,SELECT * FROM `adultCensus`,Show all the rows in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000198,"SELECT * -FROM adultCensus;","```sql -SELECT * -FROM adultCensus; -```",1.560685873,llama-70,722,1.0163849314097695,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT maritalstatus -FROM adultCensus;","```sql -SELECT maritalstatus -FROM adultCensus; -```",0.5134367943,llama-70,723,1.0248757573621918,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `race`, `nativecountry` FROM `adultCensus`","Show all race, nativecountry in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT race, nativecountry -FROM adultCensus;","```sql -SELECT race, nativecountry -FROM adultCensus; -```",0.4607110023,llama-70,724,1.0127163851275418,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `nativecountry`, `occupation`, `race` FROM `adultCensus`","Show all nativecountry, occupation, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002061,"SELECT nativecountry, occupation, race -FROM adultCensus;","```sql -SELECT nativecountry, occupation, race -FROM adultCensus; -```",0.5675365925,llama-70,725,1.0024487869273953,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `income`, `education`, `race` FROM `adultCensus`","Show all occupation, income, education, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002079,"SELECT occupation, income, education, race -FROM adultCensus;","```sql -SELECT occupation, income, education, race -FROM adultCensus; -```",0.6914687157,llama-70,726,1.0338611855844415,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `race`, `relationship`, `workclass`, `maritalstatus` FROM `adultCensus`","Show all occupation, race, relationship, workclass, maritalstatus in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002259,"SELECT - occupation, - race, - relationship, - workclass, - maritalstatus -FROM - adultCensus;","```sql -SELECT - occupation, - race, - relationship, - workclass, - maritalstatus -FROM - adultCensus; -```",0.7097525597,llama-70,727,1.0284252885130367,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education` FROM `adultCensus`","Show all sex, nativecountry, race, workclass, relationship, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002313,"SELECT - sex, - nativecountry, - race, - workclass, - relationship, - education -FROM - adultCensus;","```sql -SELECT - sex, - nativecountry, - race, - workclass, - relationship, - education -FROM - adultCensus; -```",0.5655732155,llama-70,728,1.0050545139235112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, `relationship` FROM `adultCensus`","Show all income, education, sex, race, maritalstatus, occupation, relationship in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002349,"SELECT - income, - education, - sex, - race, - maritalstatus, - occupation, - relationship -FROM - adultCensus;","```sql -SELECT - income, - education, - sex, - race, - maritalstatus, - occupation, - relationship -FROM - adultCensus; -```",0.5510466099,llama-70,729,1.0103826691710789,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `maritalstatus`, `relationship`, `workclass`, `sex`, `nativecountry`, `hoursperweek`, `income`, `education` FROM `adultCensus`","Show all maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002475,"SELECT - maritalstatus, - relationship, - workclass, - sex, - nativecountry, - hoursperweek, - income, - education -FROM - adultCensus;","```sql -SELECT - maritalstatus, - relationship, - workclass, - sex, - nativecountry, - hoursperweek, - income, - education -FROM - adultCensus; -```",0.6283364296,llama-70,730,1.0336398941462694,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `hoursperweek`, `race`, `maritalstatus`, `sex`, `relationship`, `nativecountry`, `income`, `occupation`, `workclass` FROM `adultCensus`","Show all hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002529,"SELECT - hoursperweek, - race, - maritalstatus, - sex, - relationship, - nativecountry, - income, - occupation, - workclass -FROM - adultCensus;","```sql -SELECT - hoursperweek, - race, - maritalstatus, - sex, - relationship, - nativecountry, - income, - occupation, - workclass -FROM - adultCensus; -```",0.5330057144,llama-70,731,1.0029635805723836,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `odor` FROM `mushrooms`,Show all odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001935,"SELECT odor -FROM mushrooms;","```sql -SELECT odor -FROM mushrooms; -```",0.4717974663,llama-70,732,1.0176816511865603,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001971,"SELECT gillspacing -FROM mushrooms;","```sql -SELECT gillspacing -FROM mushrooms; -```",0.5277233124,llama-70,733,1.0157848701775951,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capshape` FROM `mushrooms`,Show all capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001953,"SELECT capshape -FROM mushrooms;","```sql -SELECT capshape -FROM mushrooms; -```",0.5376298428,llama-70,734,1.0055602518522138,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capsurface` FROM `mushrooms`,Show all capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001953,"SELECT capsurface -FROM mushrooms;","```sql -SELECT capsurface -FROM mushrooms; -```",0.5631527901,llama-70,735,1.086236448631142,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `bruises` FROM `mushrooms`,Show all bruises in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001935,"SELECT bruises -FROM mushrooms;","```sql -SELECT bruises -FROM mushrooms; -```",1.1205201149,llama-70,736,1.0103504778310164,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-ALL,SELECT * FROM `mushrooms`,Show all the rows in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001944,"SELECT * -FROM mushrooms;","```sql -SELECT * -FROM mushrooms; -```",0.4265065193,llama-70,737,1.0001597374838755,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001971,"SELECT gillspacing -FROM mushrooms;","```sql -SELECT gillspacing -FROM mushrooms; -```",0.3936553001,llama-70,738,1.058606472605341,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `class` FROM `mushrooms`","Show all odor, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001971,"SELECT odor, class -FROM mushrooms;","```sql -SELECT odor, class -FROM mushrooms; -```",0.4628882408,llama-70,739,1.0136956345216805,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `gillattachment`, `gillspacing` FROM `mushrooms`","Show all capcolor, gillattachment, gillspacing in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002097,"SELECT capcolor, gillattachment, gillspacing -FROM mushrooms;","```sql -SELECT capcolor, gillattachment, gillspacing -FROM mushrooms; -```",0.476111412,llama-70,740,1.0085408819739667,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `gillcolor`, `odor`, `gillattachment` FROM `mushrooms`","Show all capsurface, gillcolor, odor, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002133,"SELECT capsurface, gillcolor, odor, gillattachment -FROM mushrooms;","```sql -SELECT capsurface, gillcolor, odor, gillattachment -FROM mushrooms; -```",0.5307891369,llama-70,741,1.0217247201686566,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `gillcolor`, `bruises`, `gillsize`, `gillattachment` FROM `mushrooms`","Show all odor, gillcolor, bruises, gillsize, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002295,"SELECT - odor, - gillcolor, - bruises, - gillsize, - gillattachment -FROM - mushrooms;","```sql -SELECT - odor, - gillcolor, - bruises, - gillsize, - gillattachment -FROM - mushrooms; -```",0.6076076031,llama-70,742,0.9985565694221168,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor` FROM `mushrooms`","Show all capsurface, class, odor, gillcolor, bruises, capcolor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002313,"SELECT - capsurface, - class, - odor, - gillcolor, - bruises, - capcolor -FROM - mushrooms;","```sql -SELECT - capsurface, - class, - odor, - gillcolor, - bruises, - capcolor -FROM - mushrooms; -```",0.5548841953,llama-70,743,1.0640804718546466,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises` FROM `mushrooms`","Show all gillattachment, gillspacing, capshape, class, capsurface, odor, bruises in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002403,"SELECT - gillattachment, - gillspacing, - capshape, - class, - capsurface, - odor, - bruises -FROM - mushrooms;","```sql -SELECT - gillattachment, - gillspacing, - capshape, - class, - capsurface, - odor, - bruises -FROM - mushrooms; -```",2.1652066708,llama-70,744,1.004496665906875,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class` FROM `mushrooms`","Show all capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002511,"SELECT - capcolor, - capshape, - gillcolor, - gillspacing, - odor, - gillattachment, - capsurface, - class -FROM - mushrooms;","```sql -SELECT - capcolor, - capshape, - gillcolor, - gillspacing, - odor, - gillattachment, - capsurface, - class -FROM - mushrooms; -```",0.5427143574,llama-70,745,1.01982743206802,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor` FROM `mushrooms`","Show all capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002565,"SELECT - capcolor, - capshape, - class, - gillcolor, - gillspacing, - bruises, - gillattachment, - capsurface, - odor -FROM - mushrooms;","```sql -SELECT - capcolor, - capshape, - class, - gillcolor, - gillspacing, - bruises, - gillattachment, - capsurface, - odor -FROM - mushrooms; -```",0.8025672436,llama-70,746,0.993260607098334,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` == 'Husband',Show the data of the table adultCensus where relationship is equal to Husband,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002088,"SELECT * -FROM adultCensus -WHERE relationship = 'Husband';","```sql -SELECT * -FROM adultCensus -WHERE relationship = 'Husband'; -```",0.7627623081,llama-70,747,0.9767678554087011,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Own-child',Show the data of the table adultCensus where relationship is different from Own-child,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002088,"SELECT * -FROM adultCensus -WHERE relationship != 'Own-child';","```sql -SELECT * -FROM adultCensus -WHERE relationship != 'Own-child'; -```",2.4346821308,llama-70,748,1.0050171031465978,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Wife',Show the data of the table adultCensus where relationship not equal to Wife,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002088,"SELECT * -FROM adultCensus -WHERE relationship != 'Wife';","```sql -SELECT * -FROM adultCensus -WHERE relationship != 'Wife'; -```",0.5685567856,llama-70,749,1.0300569541753364,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` == 'Some-college',Show the data of the table adultCensus where education is equal to Some-college,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002115,"SELECT * -FROM adultCensus -WHERE education = 'Some-college';","```sql -SELECT * -FROM adultCensus -WHERE education = 'Some-college'; -```",0.561619997,llama-70,750,1.0032390064503338,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != '10th',Show the data of the table adultCensus where education is different from 10th,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002106,"SELECT * -FROM adultCensus -WHERE education != '10th';","```sql -SELECT * -FROM adultCensus -WHERE education != '10th'; -```",0.8507764339,llama-70,751,1.0163935938074606,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != 'Masters',Show the data of the table adultCensus where education not equal to Masters,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002088,"SELECT * -FROM adultCensus -WHERE education != 'Masters';","```sql -SELECT * -FROM adultCensus -WHERE education != 'Masters'; -```",0.9594371319,llama-70,752,1.0193491848743328,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` == 'Germany',Show the data of the table adultCensus where nativecountry is equal to Germany,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002097,"SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany';","```sql -SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany'; -```",0.5525686741,llama-70,753,1.0477259263699736,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'United-States',Show the data of the table adultCensus where nativecountry is different from United-States,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002133,"SELECT * -FROM adultCensus -WHERE nativecountry != 'United-States';","```sql -SELECT * -FROM adultCensus -WHERE nativecountry != 'United-States'; -```",0.3698000908,llama-70,754,1.0089649850098015,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'Mexico',Show the data of the table adultCensus where nativecountry not equal to Mexico,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002097,"SELECT * -FROM adultCensus -WHERE nativecountry != 'Mexico';","```sql -SELECT * -FROM adultCensus -WHERE nativecountry != 'Mexico'; -```",0.3915040493,llama-70,755,0.9663271321542813,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` > 40,Show the data of the table adultCensus where hoursperweek is greater than 40,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002124,"SELECT * -FROM adultCensus -WHERE hoursperweek > 40;","```sql -SELECT * -FROM adultCensus -WHERE hoursperweek > 40; -```",0.5700278282,llama-70,756,0.9975809461969191,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` < 60,Show the data of the table adultCensus where hoursperweek is less than 60,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002124,"SELECT * -FROM adultCensus -WHERE hoursperweek < 60;","```sql -SELECT * -FROM adultCensus -WHERE hoursperweek < 60; -```",0.4433989525,llama-70,757,1.008017325168919,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` == 'attached',Show the data of the table mushrooms where gillattachment is equal to attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002079,"SELECT * -FROM mushrooms -WHERE gillattachment = 'attached';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment = 'attached'; -```",0.4314084053,llama-70,758,1.0112655077752248,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'attached',Show the data of the table mushrooms where gillattachment is different from attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002079,"SELECT * -FROM mushrooms -WHERE gillattachment != 'attached';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment != 'attached'; -```",0.4425256252,llama-70,759,0.999307145151406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'free',Show the data of the table mushrooms where gillattachment not equal to free,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002079,"SELECT * -FROM mushrooms -WHERE gillattachment != 'free';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment != 'free'; -```",0.5232491493,llama-70,760,1.0295616573006432,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` == 'narrow',Show the data of the table mushrooms where gillsize is equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002088,"SELECT * -FROM mushrooms -WHERE gillsize = 'narrow';","```sql -SELECT * -FROM mushrooms -WHERE gillsize = 'narrow'; -```",0.4056520462,llama-70,761,1.0124730632659968,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize is different from narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002088,"SELECT * -FROM mushrooms -WHERE gillsize != 'narrow';","```sql -SELECT * -FROM mushrooms -WHERE gillsize != 'narrow'; -```",1.6505320072,llama-70,762,0.9975706441566519,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize not equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002088,"SELECT * -FROM mushrooms -WHERE gillsize != 'narrow';","```sql -SELECT * -FROM mushrooms -WHERE gillsize != 'narrow'; -```",0.8406119347,llama-70,763,1.0451185395778322,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` == 'no',Show the data of the table mushrooms where bruises is equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT * -FROM mushrooms -WHERE bruises = 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises = 'no'; -```",0.7410223484,llama-70,764,0.9903930345743764,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises is different from no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT * -FROM mushrooms -WHERE bruises != 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises != 'no'; -```",1.2831835747,llama-70,765,1.007129600886714,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises not equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT * -FROM mushrooms -WHERE bruises != 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises != 'no'; -```",0.7196688652,llama-70,766,1.001714017626662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `race`) FROM `adultCensus`,How many different race are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT COUNT(DISTINCT race) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT race) -FROM adultCensus; -```",0.6348786354,llama-70,767,1.0247466059928942,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`,How many different nativecountry are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT COUNT(DISTINCT nativecountry) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT nativecountry) -FROM adultCensus; -```",0.6218595505,llama-70,768,1.0625393336520532,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `workclass`) FROM `adultCensus`,How many different workclass are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002043,"SELECT COUNT(DISTINCT workclass) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT workclass) -FROM adultCensus; -```",1.2903265953,llama-70,769,1.1115699492159068,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `education`) FROM `adultCensus`,How many different education are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT COUNT(DISTINCT education) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT education) -FROM adultCensus; -```",0.4988365173,llama-70,770,0.971147581339713,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `income`) FROM `adultCensus`,How many different income are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT COUNT(DISTINCT income) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT income) -FROM adultCensus; -```",0.3937177658,llama-70,771,1.001346665425072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`hoursperweek`) FROM `adultCensus`,Find the maximum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002034,"SELECT MAX(hoursperweek) -FROM adultCensus;","```sql -SELECT MAX(hoursperweek) -FROM adultCensus; -```",0.5721013546,llama-70,772,1.0628168675321925,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`hoursperweek`) FROM `adultCensus`,Find the minimum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002034,"SELECT MIN(hoursperweek) -FROM adultCensus;","```sql -SELECT MIN(hoursperweek) -FROM adultCensus; -```",1.4386811256,llama-70,773,1.0004382160638676,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`hoursperweek`) FROM `adultCensus`,Find the average hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002034,"SELECT AVG(hoursperweek) -FROM adultCensus;","```sql -SELECT AVG(hoursperweek) -FROM adultCensus; -```",1.0257148743,llama-70,774,0.9932887230559693,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`,How many different capsurface are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002007,"SELECT COUNT(DISTINCT capsurface) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT capsurface) -FROM mushrooms; -```",0.4206867218,llama-70,775,1.0746903726866632,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`,How many different gillattachment are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT COUNT(DISTINCT gillattachment) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillattachment) -FROM mushrooms; -```",2.0639407635,llama-70,776,1.006794315942993,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `odor`) FROM `mushrooms`,How many different odor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001989,"SELECT COUNT(DISTINCT odor) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT odor) -FROM mushrooms; -```",0.5146763325,llama-70,777,0.994116630730782,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`,How many different gillsize are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT COUNT(DISTINCT gillsize) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillsize) -FROM mushrooms; -```",1.033983469,llama-70,778,1.018642871349474,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`,How many different gillcolor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0002025,"SELECT COUNT(DISTINCT gillcolor) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillcolor) -FROM mushrooms; -```",0.4933843613,llama-70,779,1.003061173207941,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `devicetype` FROM `fitnessTrackers`,Show the different devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.465e-05,"SELECT DISTINCT devicetype -FROM fitnessTrackers;","```sql -SELECT DISTINCT devicetype -FROM fitnessTrackers; -```",0.9658148289,gpt-4o-mini,0,1.028213007811359,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `modelname` FROM `fitnessTrackers`,Show the different modelname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.67e-05,SELECT DISTINCT modelname FROM fitnessTrackers;,"To fetch the different `modelname` values from the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT DISTINCT modelname FROM fitnessTrackers; -``` - -This query retrieves all unique model names from the specified table.",1.1540057659,gpt-4o-mini,1,0.9895680686664017,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `color` FROM `fitnessTrackers`,Show the different color in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.575e-05,SELECT DISTINCT color FROM fitnessTrackers;,"To fetch the distinct colors from the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT DISTINCT color FROM fitnessTrackers; -```",1.0019373894,gpt-4o-mini,2,0.9967568010953494,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `display` FROM `fitnessTrackers`,Show the different display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.555e-05,SELECT DISTINCT display FROM fitnessTrackers;,"To show the different display types in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT display FROM fitnessTrackers; -``` - -This query selects unique values from the `display` column of the `fitnessTrackers` table, which reflects the different display types available in that table.",1.6275887489,gpt-4o-mini,3,1.0118171298389218,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `brandname` FROM `fitnessTrackers`,Show the different brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.33e-05,SELECT DISTINCT brandname FROM fitnessTrackers;,"```sql -SELECT DISTINCT brandname FROM fitnessTrackers; -```",0.5442166328,gpt-4o-mini,4,0.9958475100342387,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `transactionno` FROM `salesTransactions`,Show the different transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.575e-05,SELECT DISTINCT transactionno FROM salesTransactions;,"To fetch the different transaction numbers from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT DISTINCT transactionno FROM salesTransactions; -```",1.0172896385,gpt-4o-mini,5,0.9883076827636224,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `date` FROM `salesTransactions`,Show the different date in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.5e-05,"SELECT DISTINCT date -FROM salesTransactions;","To fetch the distinct dates from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT DISTINCT date -FROM salesTransactions; -```",1.1026716232,gpt-4o-mini,6,0.9851774176828741,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productno` FROM `salesTransactions`,Show the different productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.455e-05,"SELECT DISTINCT productno -FROM salesTransactions;","Here is the SQL code to fetch the distinct product numbers from the `salesTransactions` table: - -```sql -SELECT DISTINCT productno -FROM salesTransactions; -```",0.7551431656,gpt-4o-mini,7,1.0155151263237112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productname` FROM `salesTransactions`,Show the different productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.575e-05,SELECT DISTINCT productname FROM salesTransactions;,"To fetch the different product names from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT DISTINCT productname FROM salesTransactions; -```",0.7452754974,gpt-4o-mini,8,0.9964766044145806,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `country` FROM `salesTransactions`,Show the different country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.46e-05,SELECT DISTINCT country FROM salesTransactions;,"To fetch the different countries from the `salesTransactions` table, you can use the SQL `SELECT` statement with the `DISTINCT` keyword. Here is the SQL code to execute: - -```sql -SELECT DISTINCT country FROM salesTransactions; -```",1.6750817299,gpt-4o-mini,9,0.9962655610051756,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `display`, COUNT(*) FROM `fitnessTrackers` GROUP BY `display`","For each display, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.815e-05,"SELECT display, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY display;","To count the number of rows in the `fitnessTrackers` table for each display, you can use the following SQL code: - -```sql -SELECT display, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY display; -``` - -This query selects the `display` column from the `fitnessTrackers` table and counts the number of rows for each distinct display type, grouping the results by the `display` field.",1.6339755058,gpt-4o-mini,10,1.0063873823926544,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `devicetype`, COUNT(*) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.185e-05,"SELECT devicetype, COUNT(*) AS device_count -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, COUNT(*) AS device_count -FROM fitnessTrackers -GROUP BY devicetype; -```",0.740847826,gpt-4o-mini,11,1.0141527518357363,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `modelname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `modelname`","For each modelname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.79e-05,"SELECT modelname, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY modelname;","To count the number of rows in the `fitnessTrackers` table for each unique `modelname`, you can use the following SQL code: - -```sql -SELECT modelname, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY modelname; -```",1.2044944763,gpt-4o-mini,12,1.0191192088838,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `strapmaterial`, COUNT(*) FROM `fitnessTrackers` GROUP BY `strapmaterial`","For each strapmaterial, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.47e-05,"SELECT strapmaterial, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY strapmaterial;","To count the number of rows in the `fitnessTrackers` table for each `strapmaterial`, you can use the following SQL query: - -```sql -SELECT strapmaterial, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY strapmaterial; -``` - -This SQL code selects the `strapmaterial` field and counts the number of records associated with each distinct `strapmaterial`, grouping the results accordingly.",1.6267771721,gpt-4o-mini,13,1.0136872215073018,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `brandname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `brandname`","For each brandname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.61e-05,"SELECT brandname, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY brandname;","To count the number of rows for each brandname in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT brandname, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY brandname; -```",1.0195071697,gpt-4o-mini,14,1.0044012917454206,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.5e-05,"SELECT devicetype, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY devicetype; -```",0.7027225494,gpt-4o-mini,15,0.9923566047934558,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.5e-05,"SELECT devicetype, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY devicetype; -```",0.6312119961,gpt-4o-mini,16,1.0086056689747118,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.12e-05,"SELECT devicetype, AVG(sellingprice) AS average_selling_price -FROM fitnessTrackers -GROUP BY devicetype;","To get the average selling price for each device type in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, AVG(sellingprice) AS average_selling_price -FROM fitnessTrackers -GROUP BY devicetype; -```",1.0602562428,gpt-4o-mini,17,1.0080663052284318,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6e-05,"SELECT devicetype, SUM(sellingprice) AS total_selling_price -FROM fitnessTrackers -GROUP BY devicetype;","Here is the SQL code to fetch the sum of selling prices grouped by device type from the `fitnessTrackers` table: - -```sql -SELECT devicetype, SUM(sellingprice) AS total_selling_price -FROM fitnessTrackers -GROUP BY devicetype; -```",1.4726617336,gpt-4o-mini,18,0.9947348336872138,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.745e-05,"SELECT devicetype, MIN(averagebatterylife) AS min_average_battery_life -FROM fitnessTrackers -GROUP BY devicetype;","To find the minimum of the average battery life for each device type in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, MIN(averagebatterylife) AS min_average_battery_life -FROM fitnessTrackers -GROUP BY devicetype; -``` - -This query selects the `devicetype` and the minimum `averagebatterylife` for each device type by grouping the results according to `devicetype`.",2.7073554993,gpt-4o-mini,19,1.0118083120565258,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00012405,"SELECT devicetype, MAX(average_battery_life) AS max_average_battery_life -FROM ( - SELECT devicetype, AVG(averagebatterylife) AS average_battery_life - FROM fitnessTrackers - GROUP BY devicetype -) AS avg_battery_life_per_device -GROUP BY devicetype;","To solve the given question using SQL, you'll need to calculate the average battery life for each device type in the `fitnessTrackers` table and then find the maximum value of these averages. Here's how you can write the SQL query for this: - -```sql -SELECT devicetype, MAX(average_battery_life) AS max_average_battery_life -FROM ( - SELECT devicetype, AVG(averagebatterylife) AS average_battery_life - FROM fitnessTrackers - GROUP BY devicetype -) AS avg_battery_life_per_device -GROUP BY devicetype; -``` - -This query first creates a derived table that calculates the average `averagebatterylife` for each `devicetype`. Then, it takes the maximum of these averages.",2.9888079166,gpt-4o-mini,20,0.0,0.75,0.75,0.0,1.0,0.5,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.945e-05,"SELECT devicetype, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY devicetype;","To retrieve the average of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY devicetype; -```",1.3606138229,gpt-4o-mini,21,1.0048309022884636,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.985e-05,"SELECT devicetype, SUM(averagebatterylife) AS total_average_batterylife -FROM fitnessTrackers -GROUP BY devicetype;","To answer the question regarding the sum of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, SUM(averagebatterylife) AS total_average_batterylife -FROM fitnessTrackers -GROUP BY devicetype; -``` - -This SQL code will group the records by `devicetype` and calculate the sum of `averagebatterylife` for each group.",1.9149124622,gpt-4o-mini,22,0.9583666512104159,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.29e-05,"SELECT display, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY display;","To find the minimum selling price for each display in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT display, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY display; -``` - -This query selects the display and the minimum selling price grouped by each unique display in the `fitnessTrackers` table.",1.9542481899,gpt-4o-mini,23,1.0144874107961703,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.31e-05,"SELECT display, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY display;","Here is the SQL code to fetch the maximum selling price of fitness trackers for each display: - -```sql -SELECT display, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY display; -```",1.7393097878,gpt-4o-mini,24,0.9965204546086257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.79e-05,"SELECT display, AVG(sellingprice) AS average_selling_price -FROM fitnessTrackers -GROUP BY display;","To find the average selling price for each display in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT display, AVG(sellingprice) AS average_selling_price -FROM fitnessTrackers -GROUP BY display; -```",0.9816167355,gpt-4o-mini,25,1.007921992842776,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.23e-05,"SELECT display, SUM(sellingprice) AS total_selling_price -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, SUM(sellingprice) AS total_selling_price -FROM fitnessTrackers -GROUP BY display; -```",0.9147207737,gpt-4o-mini,26,1.0166110552005414,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.115e-05,"SELECT display, MIN(averagebatterylife) AS min_average_batterylife -FROM fitnessTrackers -GROUP BY display;","To find the minimum of the average battery life for each display in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT display, MIN(averagebatterylife) AS min_average_batterylife -FROM fitnessTrackers -GROUP BY display; -``` - -This query groups the data by the `display` column and calculates the minimum value of `averagebatterylife` for each display group.",1.7940504551,gpt-4o-mini,27,1.0000534397716445,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.575e-05,"SELECT display, MAX(averagebatterylife) AS max_average_batterylife -FROM fitnessTrackers -GROUP BY display;","To find the maximum of average battery life for each display in the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT display, MAX(averagebatterylife) AS max_average_batterylife -FROM fitnessTrackers -GROUP BY display; -``` - -This query selects the display type and the maximum average battery life, grouping the results by each unique display.",1.5844259262,gpt-4o-mini,28,1.0220146638919745,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.375e-05,"SELECT display, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY display;","Here is the SQL code to fetch the average of `averagebatterylife` for each `display` from the `fitnessTrackers` table: - -```sql -SELECT display, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY display; -```",1.200792551,gpt-4o-mini,29,1.0076950447953372,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.675e-05,"SELECT display, SUM(averagebatterylife) AS total_average_battery_life -FROM fitnessTrackers -GROUP BY display;","To fetch the sum of `averagebatterylife` grouped by each `display` in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT display, SUM(averagebatterylife) AS total_average_battery_life -FROM fitnessTrackers -GROUP BY display; -```",0.9985020161,gpt-4o-mini,30,1.0088068949193858,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `transactionno`, COUNT(*) FROM `salesTransactions` GROUP BY `transactionno`","For each transactionno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.595e-05,"SELECT transactionno, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY transactionno;","To count the number of rows in the `salesTransactions` table for each `transactionno`, you can use the following SQL query: - -```sql -SELECT transactionno, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY transactionno; -```",1.3429408073,gpt-4o-mini,31,1.0511655727738185,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `date`, COUNT(*) FROM `salesTransactions` GROUP BY `date`","For each date, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.08e-05,"SELECT date, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY date -ORDER BY date;","```sql -SELECT date, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY date -ORDER BY date; -```",1.8964927197,gpt-4o-mini,32,1.0033351470059175,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productno`, COUNT(*) FROM `salesTransactions` GROUP BY `productno`","For each productno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.975e-05,"SELECT productno, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY productno;","```sql -SELECT productno, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY productno; -```",0.7478260994,gpt-4o-mini,33,1.0022999333922098,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productname`, COUNT(*) FROM `salesTransactions` GROUP BY `productname`","For each productname, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.595e-05,"SELECT productname, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY productname;","To count the number of rows in the `salesTransactions` table for each `productname`, you can use the following SQL query: - -```sql -SELECT productname, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY productname; -```",1.3560466766,gpt-4o-mini,34,1.0545709163811452,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `country`, COUNT(*) FROM `salesTransactions` GROUP BY `country`","For each country, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.84e-05,"SELECT country, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, COUNT(*) AS transaction_count -FROM salesTransactions -GROUP BY country; -```",0.7087953091,gpt-4o-mini,35,0.9862070103796472,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.655e-05,"SELECT date, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY date;","To fetch the minimum `customerno` for each date from the `salesTransactions` table, the SQL query would look like this: - -```sql -SELECT date, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY date; -```",1.0744109154,gpt-4o-mini,36,1.000438616211247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.655e-05,"SELECT date, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY date;","To fetch the maximum `customerno` for each date in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT date, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY date; -```",0.8679893017,gpt-4o-mini,37,1.0305376055250015,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.715e-05,"SELECT date, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY date;","To find the average of `customerno` for each date in the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT date, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY date; -```",1.1199879646,gpt-4o-mini,38,0.9998723959172698,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.715e-05,"SELECT date, SUM(customerno) AS total_customerno -FROM salesTransactions -GROUP BY date;","To fetch the sum of `customerno` for each date in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT date, SUM(customerno) AS total_customerno -FROM salesTransactions -GROUP BY date; -```",1.0319161415,gpt-4o-mini,39,1.011684333653059,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.9e-05,"SELECT date, MIN(price) AS min_price -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, MIN(price) AS min_price -FROM salesTransactions -GROUP BY date; -```",0.6742432117,gpt-4o-mini,40,0.9821998838203571,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.08e-05,"SELECT date, MAX(price) AS max_price -FROM salesTransactions -GROUP BY date;","To answer the question of fetching the maximum price for each date from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT date, MAX(price) AS max_price -FROM salesTransactions -GROUP BY date; -``` - -This query will group the results by the `date` column and return the maximum `price` for each unique date.",1.5414843559,gpt-4o-mini,41,0.99458153594402,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.34e-05,"SELECT date, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY date;","To fetch the average price from the `salesTransactions` table for each date, you can use the following SQL code: - -```sql -SELECT date, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY date; -```",1.0422954559,gpt-4o-mini,42,1.2057134659535835,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.9e-05,"SELECT date, SUM(price) AS total_price -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, SUM(price) AS total_price -FROM salesTransactions -GROUP BY date; -```",0.8721802235,gpt-4o-mini,43,0.9990156151180191,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.655e-05,"SELECT country, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY country;","To fetch the minimum `customerno` for each country from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT country, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY country; -```",1.4388844967,gpt-4o-mini,44,1.0375153519549076,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.035e-05,"SELECT country, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY country; -```",0.8028576374,gpt-4o-mini,45,1.011842199548898,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.155e-05,"SELECT country, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY country;","To find the average of `customerno` for each country from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT country, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY country; -``` - -This query selects the `country` and the average of `customerno`, grouping the results by each unique country.",2.1357357502,gpt-4o-mini,46,1.002176321162683,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.155e-05,"SELECT country, SUM(customerno) AS total_customerno -FROM salesTransactions -GROUP BY country;","To fetch the sum of `customerno` for each country from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country, SUM(customerno) AS total_customerno -FROM salesTransactions -GROUP BY country; -``` - -This query groups the transactions by `country` and calculates the total sum of `customerno` for each country.",1.0526385307,gpt-4o-mini,47,0.9732656766552498,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.62e-05,"SELECT country, MIN(price) AS min_price -FROM salesTransactions -GROUP BY country;","To retrieve the minimum price for each country from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country, MIN(price) AS min_price -FROM salesTransactions -GROUP BY country; -``` - -This SQL code selects the `country` and the minimum `price` from the `salesTransactions` table, grouping the results by each country to get the minimum price for each one.",1.5983870029,gpt-4o-mini,48,1.0116189020604338,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.34e-05,"SELECT country, MAX(price) AS max_price -FROM salesTransactions -GROUP BY country;","To get the maximum price for each country from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country, MAX(price) AS max_price -FROM salesTransactions -GROUP BY country; -```",1.0001432896,gpt-4o-mini,49,1.0001751423725962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.9e-05,"SELECT country, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY country; -```",0.553260088,gpt-4o-mini,50,1.053348367166249,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.9e-05,"SELECT country, SUM(price) AS total_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, SUM(price) AS total_price -FROM salesTransactions -GROUP BY country; -```",0.72204566,gpt-4o-mini,51,0.9944059912933072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) >= 1,Find all the modelname that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.58e-05,"SELECT DISTINCT modelname -FROM fitnessTrackers -WHERE modelname IS NOT NULL;","To find all the `modelname` entries that have at least one record in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT modelname -FROM fitnessTrackers -WHERE modelname IS NOT NULL; -``` - -This query selects distinct `modelname` values from the `fitnessTrackers` table where the `modelname` is not null, ensuring that each returned `modelname` corresponds to at least one record in the table.",1.5605554581,gpt-4o-mini,52,0.9801753496675504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) <= 1,Find all the modelname that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.5e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1;","To find all the `modelname` entries in the `fitnessTrackers` table that have at most 1 record, you would need to use a SQL query that groups the results by `modelname` and counts the occurrences. Here's the SQL code to accomplish that: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1; -```",3.3813707829,gpt-4o-mini,53,1.030184399686528,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) >= 1,Find all the color that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.385e-05,"SELECT DISTINCT color -FROM fitnessTrackers -WHERE color IS NOT NULL;","To find all the colors that have at least one record in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT color -FROM fitnessTrackers -WHERE color IS NOT NULL; -``` - -This query selects distinct colors from the `fitnessTrackers` table, ensuring that only the colors with at least one record are returned. The condition `WHERE color IS NOT NULL` is used to exclude any null values from the result set.",2.3791873455,gpt-4o-mini,54,0.993411208860201,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) <= 1,Find all the color that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.685e-05,"SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(*) <= 1;","You can use the following SQL code to find all colors that have at most 1 record in the `fitnessTrackers` table: - -```sql -SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(*) <= 1; -```",1.0125427246,gpt-4o-mini,55,1.0094104808336504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) >= 4,Find all the display that have at least 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.065e-05,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4;","```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4; -```",0.6076936722,gpt-4o-mini,56,1.0180322094552696,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) <= 4,Find all the display that have at most 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.805e-05,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) <= 4;","To find all the displays that have at most 4 records in the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) <= 4; -```",1.1698653698,gpt-4o-mini,57,0.9947094223991649,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) >= 8.81,List the strapmaterial which average of averagebatterylife is at least 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.945e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81;","Certainly! Below is the SQL code that will retrieve the `strapmaterial` from the `fitnessTrackers` table where the average of `averagebatterylife` is at least 8.81: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81; -``` - -This query groups the results by `strapmaterial`, calculates the average `averagebatterylife` for each group, and filters the results to only include those with an average of at least 8.81.",3.9983460903,gpt-4o-mini,58,0.9999939896720547,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) <= 8.81,List the strapmaterial which average of averagebatterylife is at most 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.045e-05,"SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife <= 8.81;","To retrieve the `strapmaterial` from the `fitnessTrackers` table where the average of `averagebatterylife` is at most 8.81, you can use the following SQL query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife <= 8.81; -``` - -This query selects the `strapmaterial` column from the `fitnessTrackers` table where the `averagebatterylife` is less than or equal to 8.81.",3.1799991131,gpt-4o-mini,59,0.0,0.5,1.0,0.0,0.182,0.5,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) >= 32.4,List the strapmaterial which summation of averagebatterylife is at least 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.66e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4;","To retrieve the strap materials from the `fitnessTrackers` table where the summation of the average battery life is at least 32.4, you can use the following SQL query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4; -``` - -This SQL code groups the records by `strapmaterial` and calculates the sum of `averagebatterylife` for each group, returning only those groups where the sum is 32.4 or greater.",2.4212598801,gpt-4o-mini,60,1.0124940670939748,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) <= 32.4,List the strapmaterial which summation of averagebatterylife is at most 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.38e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4;","To fetch the `strapmaterial` from the `fitnessTrackers` table where the summation of `averagebatterylife` is at most 32.4, you can use the following SQL query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4; -```",1.6689462662,gpt-4o-mini,61,1.0122798635573147,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) >= 19076.5,List the strapmaterial which average of sellingprice is at least 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.975e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5;","To fetch the `strapmaterial` from the `fitnessTrackers` table where the average `sellingprice` is at least 19076.5, the SQL query would look like this: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5; -```",1.4710056782,gpt-4o-mini,62,1.0620297138582924,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) <= 19076.5,List the strapmaterial which average of sellingprice is at most 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.735e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5;","To fetch the strap materials from the `fitnessTrackers` table where the average selling price is at most 19076.5, you can use the following SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5; -```",1.11521101,gpt-4o-mini,63,1.0059403318927413,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) >= 82848.0,List the strapmaterial which summation of sellingprice is at least 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.99e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0;","To fetch the strap materials from the `fitnessTrackers` table where the summation of `sellingprice` is at least 82848.0, you can use the following SQL query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0; -```",1.1532182693,gpt-4o-mini,64,1.0045805762093998,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) <= 82848.0,List the strapmaterial which summation of sellingprice is at most 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.93e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0;","To fetch the strap materials from the `fitnessTrackers` table where the summation of the selling price does not exceed 82848.0, you can use the following SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0; -```",1.4714741707,gpt-4o-mini,65,0.9814507603704699,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) >= 8.1,List the modelname which average of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.245e-05,"SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1; -```",0.7742667198,gpt-4o-mini,66,0.9484416086195981,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) <= 8.1,List the modelname which average of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.005e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1;","Here is the SQL code to fetch the model names from the `fitnessTrackers` table where the average of `averagebatterylife` is at most 8.1: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1; -```",1.0979139805,gpt-4o-mini,67,0.9980990428235722,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) >= 8.1,List the modelname which summation of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) >= 8.1;","To retrieve the model names from the `fitnessTrackers` table where the summation of the `averagebatterylife` is at least 8.1, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) >= 8.1; -``` - -This query groups the records by `modelname` and filters the groups based on the condition specified in the `HAVING` clause.",6.5781490803,gpt-4o-mini,68,1.0409422778718056,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) <= 8.1,List the modelname which summation of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001212,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) <= 8.1;","To fetch the model names from the `fitnessTrackers` table where the summation of the average battery life is at most 8.1, you would need to group by the model name and filter based on the specified condition. Here’s how you can write the SQL code to accomplish this: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) <= 8.1; -``` - -This SQL statement selects the `modelname` from the `fitnessTrackers` table, groups the results by `modelname`, and then filters those groups to only include those where the total (summation) of `averagebatterylife` is less than or equal to 8.1.",3.353746891,gpt-4o-mini,69,1.0316196181652915,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) >= 20712.0,List the modelname which average of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00014475,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0;","To fetch the model names from the `fitnessTrackers` table where the average selling price is at least 20712.0, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -WHERE sellingprice >= 20712.0; -``` - -This query retrieves the `modelname` from the `fitnessTrackers` table where the `sellingprice` is at least 20712.0. However, note that if you want to calculate the average selling price across multiple records and then filter based on that average, you would generally use a `GROUP BY` clause along with `HAVING`. Here's an alternative version if you want the average price across model names: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0; -``` - -Use either depending on whether you're looking for individual selling prices or the average selling price per model.",4.3234870434,gpt-4o-mini,70,1.011802991576092,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) <= 20712.0,List the modelname which average of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.435e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0;","To obtain the model names from the `fitnessTrackers` table where the average selling price is at most 20712.0, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0; -``` - -This query groups the entries by `modelname`, calculates the average `sellingprice` for each model, and then filters the results to include only those where the average selling price does not exceed 20712.0.",3.0932331085,gpt-4o-mini,71,1.0289157729777636,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) >= 20712.0,List the modelname which summation of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.41e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0;","To achieve the desired result of listing the `modelname` where the summation of `sellingprice` is at least 20712.0 from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0; -```",1.2917962074,gpt-4o-mini,72,1.0067573241639813,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) <= 20712.0,List the modelname which summation of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001023,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0;","To retrieve the model names from the `fitnessTrackers` table where the total of `sellingprice` is at most 20712.0, you will need to group the results by `modelname` and then filter based on the summation of `sellingprice`. Here's how the SQL code looks: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0; -``` - -This SQL statement will group the records by `modelname` and then return those where the total selling price does not exceed 20712.0.",2.709321022,gpt-4o-mini,73,0.995735336924362,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) >= 20,Find all the country that have at least 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.67e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) >= 20;","To find all the countries that have at least 20 records in the `salesTransactions` table, you would use the following SQL query: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) >= 20; -```",1.7550032139,gpt-4o-mini,74,1.0358224155510585,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) <= 20,Find all the country that have at most 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.77e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) <= 20;","To find all the countries that have at most 20 records in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) <= 20; -``` - -This query groups the records by country, counts the number of transactions for each country, and then filters the results to include only those countries with 20 or fewer records.",3.0438303947,gpt-4o-mini,75,0.9970101777616901,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) >= 1,Find all the date that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.23e-05,"SELECT DISTINCT date -FROM salesTransactions -WHERE date IS NOT NULL;","To fetch all the dates that have at least one record in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT DISTINCT date -FROM salesTransactions -WHERE date IS NOT NULL; -``` - -This query selects distinct dates from the `salesTransactions` table, ensuring that only unique dates are returned, and filters out any null values from the result.",1.2819919586,gpt-4o-mini,76,0.9879010385781043,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) <= 1,Find all the date that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.61e-05,"SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(*) <= 1;","To find all dates that have at most 1 record in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(*) <= 1; -```",9.0420496464,gpt-4o-mini,77,1.0544762983653617,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) >= 1,Find all the transactionno that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.405e-05,"SELECT DISTINCT transactionno -FROM salesTransactions;","```sql -SELECT DISTINCT transactionno -FROM salesTransactions; -```",0.9771425724,gpt-4o-mini,78,0.9861206554278441,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) <= 1,Find all the transactionno that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.865e-05,"SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1;","To find all the `transactionno` values that have at most 1 record in the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1; -``` - -This query groups the records by `transactionno` and counts the number of occurrences for each transaction. The `HAVING` clause filters the results to include only those transactions that appear 0 or 1 time in the table.",2.8961577415,gpt-4o-mini,79,0.999699506696153,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`price`) <= 11.95,List the country which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.215e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95; -```",0.971521616,gpt-4o-mini,80,1.070600558753212,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) >= 238.94,List the country which summation of price is at least 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.21e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94;","To retrieve the countries from the `salesTransactions` table where the summation of prices is at least 238.94, you can use the following SQL code: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94; -```",2.5604219437,gpt-4o-mini,81,0.9997471660641437,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) <= 238.94,List the country which summation of price is at most 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.27e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94;","To execute the query that lists the countries where the total price from the `salesTransactions` table is at most 238.94, you can use the following SQL code: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94; -``` - -This SQL code groups the transactions by `country`, calculates the total price for each country with `SUM(price)`, and then filters the results to include only those countries where the total price is less than or equal to 238.94.",1.8252682686,gpt-4o-mini,82,1.0092613361738383,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) >= 15215.25,List the country which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.525e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25;","To retrieve the country where the average of `customerno` is at least 15215.25 from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25; -```",1.1664144993,gpt-4o-mini,83,1.0452692681968012,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) <= 15215.25,List the country which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.525e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25;","To fetch the countries where the average of `customerno` in the `salesTransactions` table is at most 15215.25, you can use the following SQL code: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25; -```",1.1348388195,gpt-4o-mini,84,1.0021246137479103,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) >= 304305.0,List the country which summation of customerno is at least 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.72e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0;","To retrieve the list of countries where the summation of `customerno` from the `salesTransactions` table is at least 304305.0, you can use the following SQL query: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0; -```",1.2606842518,gpt-4o-mini,85,0.9884224478257161,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) <= 304305.0,List the country which summation of customerno is at most 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.22e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0;","Here is the SQL code that executes the query based on your requirements: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0; -```",1.0441973209,gpt-4o-mini,86,1.034459852956281,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) >= 11.95,List the productname which average of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.27e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95;","To retrieve the product names from the `salesTransactions` table where the average price is at least 11.95, you can use the following SQL query: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95; -```",1.23335886,gpt-4o-mini,87,1.005391656824674,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) <= 11.95,List the productname which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.39e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95;","To get the list of product names from the `salesTransactions` table where the average price is at most 11.95, you can use the following SQL code: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95; -```",1.0956397057,gpt-4o-mini,88,0.9497854929207149,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) >= 11.95,List the productname which summation of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.225e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95;","Here is the SQL code to list the product names where the summation of price is at least 11.95 in the `salesTransactions` table: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95; -```",1.6800601482,gpt-4o-mini,89,1.0411858949062343,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) <= 11.95,List the productname which summation of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.345e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95;","To list the `productname` from the `salesTransactions` table where the summation of the price is at most 11.95, you can use the following SQL code: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95; -``` - -This code selects unique product names from the `salesTransactions` table, groups the results by `productname`, and filters those groups to include only those where the total price is less than or equal to 11.95.",1.8617172241,gpt-4o-mini,90,0.9996128806275462,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) >= 15215.25,List the productname which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.48e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25;","Here is the SQL code to fetch the product names where the average `customerno` is at least 15215.25 from the `salesTransactions` table: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25; -```",1.7474234104,gpt-4o-mini,91,1.0061616095630137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) <= 15215.25,List the productname which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.84e-05,"SELECT DISTINCT productname -FROM salesTransactions -WHERE (SELECT AVG(customerno) FROM salesTransactions) <= 15215.25;","To answer the question, you need to calculate the average of the `customerno` column from the `salesTransactions` table and filter the results to find product names where that average is at most 15215.25. Here is the SQL code to achieve this: - -```sql -SELECT DISTINCT productname -FROM salesTransactions -WHERE (SELECT AVG(customerno) FROM salesTransactions) <= 15215.25; -``` - -This query selects the distinct product names from the `salesTransactions` table where the average `customerno` is less than or equal to 15215.25.",4.4559693336,gpt-4o-mini,92,0.0,0.55,1.0,0.0,0.55,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) >= 15215.25,List the productname which summation of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.655e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25;","To answer the question, you need to sum the values in the `customerno` column of the `salesTransactions` table, group them by `productname`, and filter the results based on the specified condition (i.e., the summation should be at least 15215.25). The SQL query for that would look like this: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25; -```",1.6996266842,gpt-4o-mini,93,0.9935742604667127,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) <= 15215.25,List the productname which summation of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.815e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25;","To answer the question, we need to sum the `customerno` for each `productname` in the `salesTransactions` table, and then filter those sums to include only those that are at most 15215.25. The following SQL code accomplishes this: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25; -```",1.8209648132,gpt-4o-mini,94,1.0103553887998449,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `brandname` FROM `fitnessTrackers` GROUP BY `brandname` HAVING COUNT(DISTINCT `devicetype`) = (SELECT COUNT(DISTINCT `devicetype`) FROM `fitnessTrackers`),What are the brandname with all the devicetype in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.325e-05,"SELECT brandname, devicetype -FROM fitnessTrackers;","To fetch the brand names along with all the device types from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT brandname, devicetype -FROM fitnessTrackers; -```",1.2122511864,gpt-4o-mini,95,0.0,0.091,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `devicetype` FROM `fitnessTrackers` GROUP BY `devicetype` HAVING COUNT(DISTINCT `strapmaterial`) = (SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`),What are the devicetype with all the strapmaterial in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.025e-05,"SELECT DISTINCT devicetype, strapmaterial -FROM fitnessTrackers;","To fetch the device types along with all the strap materials from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT devicetype, strapmaterial -FROM fitnessTrackers; -``` - -This query selects distinct combinations of `devicetype` and `strapmaterial` from the `fitnessTrackers` table, ensuring that you get a unique list of each device type along with its associated strap materials.",1.44156003,gpt-4o-mini,96,0.0,0.143,1.0,0.0,0.167,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING COUNT(DISTINCT `display`) = (SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`),What are the color with all the display in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.86e-05,"SELECT color, display FROM fitnessTrackers;","To fetch the colors with all the display in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT color, display FROM fitnessTrackers; -```",1.1186516285,gpt-4o-mini,97,0.0,0.062,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the transactionno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.92e-05,"SELECT transactionno, country FROM salesTransactions;","To fetch the transaction numbers along with all the countries from the `salesTransactions` table, the following SQL query can be executed: - -```sql -SELECT transactionno, country FROM salesTransactions; -```",0.7535760403,gpt-4o-mini,98,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the date with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.945e-05,"SELECT DISTINCT date, country -FROM salesTransactions;","To fetch the unique dates along with the associated countries from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT DISTINCT date, country -FROM salesTransactions; -``` - -This query selects distinct combinations of `date` and `country` from the `salesTransactions` table, ensuring that you retrieve all unique pairs in the result.",4.3747522831,gpt-4o-mini,99,0.0,0.95,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productno` FROM `salesTransactions` GROUP BY `productno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.2e-05,"SELECT DISTINCT productno, country -FROM salesTransactions;","To fetch the `productno` along with all the countries from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT DISTINCT productno, country -FROM salesTransactions; -``` - -This query selects distinct combinations of `productno` and `country` from the `salesTransactions` table to ensure that each unique pairing is included in the results.",1.920650959,gpt-4o-mini,100,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productname with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.04e-05,"SELECT productname, country -FROM salesTransactions;","To fetch all the product names along with their corresponding countries from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productname, country -FROM salesTransactions; -```",1.2816317081,gpt-4o-mini,101,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` ASC,Show all data ordered by devicetype in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.72e-05,"SELECT * FROM fitnessTrackers -ORDER BY devicetype ASC;","```sql -SELECT * FROM fitnessTrackers -ORDER BY devicetype ASC; -```",0.5687651634,gpt-4o-mini,102,1.000210050939669,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` DESC,Show all data ordered by devicetype in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.4e-05,"SELECT * FROM fitnessTrackers -ORDER BY devicetype DESC;","Here is the SQL code to fetch all data from the `fitnessTrackers` table ordered by `devicetype` in descending order: - -```sql -SELECT * FROM fitnessTrackers -ORDER BY devicetype DESC; -```",1.131333828,gpt-4o-mini,103,1.0197924242028236,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` ASC,Show all data ordered by strapmaterial in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.645e-05,"SELECT * FROM fitnessTrackers -ORDER BY strapmaterial ASC;","```sql -SELECT * FROM fitnessTrackers -ORDER BY strapmaterial ASC; -```",0.7538123131,gpt-4o-mini,104,1.00470432717857,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` DESC,Show all data ordered by strapmaterial in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.705e-05,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC; -```",0.5627529621,gpt-4o-mini,105,1.0136489112150195,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` ASC,Project the sellingprice ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.735e-05,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC;","```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC; -```",0.5281434059,gpt-4o-mini,106,1.0040165631679785,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` DESC,Project the sellingprice ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.115e-05,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC;","Here is the SQL code to fetch the selling prices from the `fitnessTrackers` table ordered in descending order: - -```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC; -```",1.1309552193,gpt-4o-mini,107,1.004983185887291,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` ASC,Project the color ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.04e-05,"SELECT color -FROM fitnessTrackers -ORDER BY color ASC;","To fetch the colors from the `fitnessTrackers` table in ascending order, you can use the following SQL code: - -```sql -SELECT color -FROM fitnessTrackers -ORDER BY color ASC; -```",1.1932406425,gpt-4o-mini,108,1.0028649478677438,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` DESC,Project the color ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.8e-05,"SELECT color -FROM fitnessTrackers -ORDER BY color DESC;","Here is the SQL code to project the color ordered in descending order for the table fitnessTrackers: - -```sql -SELECT color -FROM fitnessTrackers -ORDER BY color DESC; -```",1.1783115864,gpt-4o-mini,109,1.008661601362531,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` ASC,Show all data ordered by transactionno in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.63e-05,"SELECT * -FROM salesTransactions -ORDER BY transactionno ASC;","```sql -SELECT * -FROM salesTransactions -ORDER BY transactionno ASC; -```",0.4416999817,gpt-4o-mini,110,0.9976071444263626,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` DESC,Show all data ordered by transactionno in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.57e-05,"SELECT * FROM salesTransactions -ORDER BY transactionno DESC;","```sql -SELECT * FROM salesTransactions -ORDER BY transactionno DESC; -```",0.7122557163,gpt-4o-mini,111,0.9956943052344356,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` ASC,Show all data ordered by price in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.055e-05,"SELECT * FROM salesTransactions -ORDER BY price ASC;","To fetch all data from the `salesTransactions` table ordered by price in ascending order, you can use the following SQL code: - -```sql -SELECT * FROM salesTransactions -ORDER BY price ASC; -```",1.4792087078,gpt-4o-mini,112,1.0245864627569474,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` DESC,Show all data ordered by price in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.435e-05,SELECT * FROM salesTransactions ORDER BY price DESC;,"```sql -SELECT * FROM salesTransactions ORDER BY price DESC; -```",0.4936909676,gpt-4o-mini,113,1.0003753302316292,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` ASC,Project the productno ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.66e-05,"SELECT productno -FROM salesTransactions -ORDER BY productno ASC;","```sql -SELECT productno -FROM salesTransactions -ORDER BY productno ASC; -```",1.3210573196,gpt-4o-mini,114,1.0210538222645131,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` DESC,Project the productno ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.22e-05,"SELECT productno -FROM salesTransactions -ORDER BY productno DESC;","To project the `productno` from the `salesTransactions` table in descending order, you can use the following SQL code: - -```sql -SELECT productno -FROM salesTransactions -ORDER BY productno DESC; -```",1.0705530643,gpt-4o-mini,115,1.0051800136810902,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` ASC,Project the quantity ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.785e-05,"SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC;","Here is the SQL code to project the quantity ordered in ascending order from the `salesTransactions` table: - -```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC; -```",1.4113743305,gpt-4o-mini,116,0.9975103351468522,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` DESC,Project the quantity ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.525e-05,"SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC;","```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC; -```",0.4285130501,gpt-4o-mini,117,1.0636614148543324,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `originalprice` FROM `fitnessTrackers`,Show all originalprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.255e-05,SELECT originalprice FROM fitnessTrackers;,"```sql -SELECT originalprice FROM fitnessTrackers; -```",0.421050787,gpt-4o-mini,118,1.0055960691628454,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `averagebatterylife` FROM `fitnessTrackers`,Show all averagebatterylife in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.48e-05,SELECT averagebatterylife FROM fitnessTrackers;,"```sql -SELECT averagebatterylife FROM fitnessTrackers; -```",0.6121838093,gpt-4o-mini,119,1.0088897005533632,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `devicetype` FROM `fitnessTrackers`,Show all devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.33e-05,SELECT devicetype FROM fitnessTrackers;,"```sql -SELECT devicetype FROM fitnessTrackers; -```",0.5490648746,gpt-4o-mini,120,1.0369564877201607,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `display` FROM `fitnessTrackers`,Show all display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.5e-05,SELECT display FROM fitnessTrackers;,"To fetch all the displays from the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT display FROM fitnessTrackers; -```",0.7494146824,gpt-4o-mini,121,1.0058577301713307,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `brandname` FROM `fitnessTrackers`,Show all brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.255e-05,SELECT brandname FROM fitnessTrackers;,"```sql -SELECT brandname FROM fitnessTrackers; -```",0.7843844891,gpt-4o-mini,122,1.002731072407635,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-ALL,SELECT * FROM `fitnessTrackers`,Show all the rows in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.195e-05,SELECT * FROM fitnessTrackers;,"```sql -SELECT * FROM fitnessTrackers; -```",0.5219147205,gpt-4o-mini,123,1.0344714720810086,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,SELECT `sellingprice` FROM `fitnessTrackers`,Show all sellingprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.255e-05,SELECT sellingprice FROM fitnessTrackers;,"```sql -SELECT sellingprice FROM fitnessTrackers; -```",0.5929582119,gpt-4o-mini,124,1.000339888332223,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `averagebatterylife` FROM `fitnessTrackers`","Show all strapmaterial, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.025e-05,"SELECT strapmaterial, averagebatterylife FROM fitnessTrackers;","To fetch the required information from the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT strapmaterial, averagebatterylife FROM fitnessTrackers; -```",0.8538310528,gpt-4o-mini,125,0.9975306469278188,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `sellingprice`, `modelname`, `color` FROM `fitnessTrackers`","Show all sellingprice, modelname, color in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.77e-05,"SELECT sellingprice, modelname, color FROM fitnessTrackers;","Here is the SQL code to fetch the desired information from the `fitnessTrackers` table: - -```sql -SELECT sellingprice, modelname, color FROM fitnessTrackers; -```",0.8305768967,gpt-4o-mini,126,1.0495353955545368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `modelname`, `brandname`, `color`, `averagebatterylife` FROM `fitnessTrackers`","Show all modelname, brandname, color, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.14e-05,"SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers;","```sql -SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers; -```",0.9860754013,gpt-4o-mini,127,1.0370591541913603,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `devicetype`, `modelname`, `brandname`, `averagebatterylife`, `display` FROM `fitnessTrackers`","Show all devicetype, modelname, brandname, averagebatterylife, display in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.44e-05,"SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers;","```sql -SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers; -```",0.7993438244,gpt-4o-mini,128,1.0036425150022588,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, `strapmaterial` FROM `fitnessTrackers`","Show all rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.59e-05,"SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial -FROM fitnessTrackers;","```sql -SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial -FROM fitnessTrackers; -```",0.9969937801,gpt-4o-mini,129,1.0498262934521922,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `rating`, `averagebatterylife`, `brandname`, `display`, `sellingprice`, `devicetype` FROM `fitnessTrackers`","Show all strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.815e-05,"SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype -FROM fitnessTrackers;","```sql -SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype -FROM fitnessTrackers; -```",0.9634375572,gpt-4o-mini,130,1.005533849713719,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, `modelname` FROM `fitnessTrackers`","Show all averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.6e-05,"SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname -FROM fitnessTrackers;","To fetch the required information from the `fitnessTrackers` table according to your question, you can use the following SQL code: - -```sql -SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname -FROM fitnessTrackers; -```",1.6743073463,gpt-4o-mini,131,1.0258351780348844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `color`, `modelname`, `averagebatterylife`, `strapmaterial`, `display`, `brandname`, `sellingprice`, `devicetype`, `originalprice` FROM `fitnessTrackers`","Show all color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.465e-05,"SELECT - color, - modelname, - averagebatterylife, - strapmaterial, - display, - brandname, - sellingprice, - devicetype, - originalprice -FROM - fitnessTrackers;","```sql -SELECT - color, - modelname, - averagebatterylife, - strapmaterial, - display, - brandname, - sellingprice, - devicetype, - originalprice -FROM - fitnessTrackers; -```",1.3587076664,gpt-4o-mini,132,1.0060906108892054,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productno` FROM `salesTransactions`,Show all productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.26e-05,SELECT productno FROM salesTransactions;,"Here is the SQL code to retrieve all product numbers from the `salesTransactions` table: - -```sql -SELECT productno FROM salesTransactions; -```",1.5026171207,gpt-4o-mini,133,1.0155637192593507,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `country` FROM `salesTransactions`,Show all country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.105e-05,SELECT country FROM salesTransactions;,"```sql -SELECT country FROM salesTransactions; -```",0.5955014229,gpt-4o-mini,134,0.9916347745903804,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `transactionno` FROM `salesTransactions`,Show all transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.62e-05,SELECT transactionno FROM salesTransactions;,"To fetch all the `transactionno` from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT transactionno FROM salesTransactions; -```",1.0257546902,gpt-4o-mini,135,1.0053788278197078,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `price` FROM `salesTransactions`,Show all price in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.105e-05,SELECT price FROM salesTransactions;,"```sql -SELECT price FROM salesTransactions; -```",0.434281826,gpt-4o-mini,136,1.0576636508025778,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productname` FROM `salesTransactions`,Show all productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.18e-05,SELECT productname FROM salesTransactions;,"```sql -SELECT productname FROM salesTransactions; -```",0.4136807919,gpt-4o-mini,137,1.0102194776569295,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-ALL,SELECT * FROM `salesTransactions`,Show all the rows in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.32e-05,SELECT * FROM salesTransactions;,"To fetch all the rows from the table `salesTransactions`, you can use the following SQL code: - -```sql -SELECT * FROM salesTransactions; -```",1.4512331486,gpt-4o-mini,138,1.0029214632214176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,SELECT `quantity` FROM `salesTransactions`,Show all quantity in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.305e-05,SELECT quantity FROM salesTransactions;,"To fetch all quantities from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT quantity FROM salesTransactions; -```",1.3199372292,gpt-4o-mini,139,0.9909079572474953,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `productno` FROM `salesTransactions`","Show all price, productno in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.33e-05,"SELECT price, productno FROM salesTransactions;","```sql -SELECT price, productno FROM salesTransactions; -```",0.3924057484,gpt-4o-mini,140,1.0418907283464829,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `customerno`, `date` FROM `salesTransactions`","Show all price, customerno, date in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.48e-05,"SELECT price, customerno, date FROM salesTransactions;","```sql -SELECT price, customerno, date FROM salesTransactions; -```",0.676371336,gpt-4o-mini,141,0.9974469541934844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `customerno`, `quantity`, `productname` FROM `salesTransactions`","Show all productno, customerno, quantity, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.84e-05,"SELECT productno, customerno, quantity, productname -FROM salesTransactions;","```sql -SELECT productno, customerno, quantity, productname -FROM salesTransactions; -```",0.8099794388,gpt-4o-mini,142,1.0282827130589463,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `date`, `quantity`, `productno`, `price`, `country` FROM `salesTransactions`","Show all date, quantity, productno, price, country in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.84e-05,"SELECT date, quantity, productno, price, country -FROM salesTransactions;","```sql -SELECT date, quantity, productno, price, country -FROM salesTransactions; -```",0.8932127953,gpt-4o-mini,143,0.9947042562497103,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `price`, `country`, `customerno`, `transactionno`, `productname` FROM `salesTransactions`","Show all productno, price, country, customerno, transactionno, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.215e-05,"SELECT productno, price, country, customerno, transactionno, productname -FROM salesTransactions;","```sql -SELECT productno, price, country, customerno, transactionno, productname -FROM salesTransactions; -```",0.803842783,gpt-4o-mini,144,1.0000210380156966,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity` FROM `salesTransactions`","Show all price, date, transactionno, productno, customerno, country, quantity in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.55e-05,"SELECT price, date, transactionno, productno, customerno, country, quantity -FROM salesTransactions;","To fetch the requested columns from the `salesTransactions` table, the SQL query would look like this: - -```sql -SELECT price, date, transactionno, productno, customerno, country, quantity -FROM salesTransactions; -```",0.9933626652,gpt-4o-mini,145,1.0453639047419014,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` == 'White ',Show the data of the table fitnessTrackers where color is equal to White ,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.13e-05,SELECT * FROM fitnessTrackers WHERE color = 'White';,"Here is the SQL code to fetch the data from the `fitnessTrackers` table where the color is equal to 'White': - -```sql -SELECT * FROM fitnessTrackers WHERE color = 'White'; -```",1.5606684685,gpt-4o-mini,146,0.0,0.1,0.1,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color is different from Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.63e-05,"SELECT * -FROM fitnessTrackers -WHERE color <> 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color <> 'Black'; -```",0.8172678947,gpt-4o-mini,147,1.0577617657301432,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color not equal to Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.69e-05,"SELECT * -FROM fitnessTrackers -WHERE color <> 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color <> 'Black'; -```",0.4959187508,gpt-4o-mini,148,0.9986156921559756,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` == 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is equal to Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.655e-05,SELECT * FROM fitnessTrackers WHERE strapmaterial = 'Thermoplastic polyurethane';,"Here is the SQL code to fetch data from the `fitnessTrackers` table where `strapmaterial` is equal to ""Thermoplastic polyurethane"": - -```sql -SELECT * FROM fitnessTrackers WHERE strapmaterial = 'Thermoplastic polyurethane'; -```",1.8029360771,gpt-4o-mini,149,1.0425360237280024,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is different from Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.955e-05,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial <> 'Thermoplastic polyurethane';","To fetch the data from the `fitnessTrackers` table where `strapmaterial` is different from ""Thermoplastic polyurethane"", you can use the following SQL code: - -```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial <> 'Thermoplastic polyurethane'; -```",1.7647669315,gpt-4o-mini,150,1.004135167883058,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Aluminium',Show the data of the table fitnessTrackers where strapmaterial not equal to Aluminium,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.705e-05,SELECT * FROM fitnessTrackers WHERE strapmaterial != 'Aluminium';,"```sql -SELECT * FROM fitnessTrackers WHERE strapmaterial != 'Aluminium'; -```",0.7051148415,gpt-4o-mini,151,1.0194326864585974,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` == 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is equal to TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.855e-05,SELECT * FROM fitnessTrackers WHERE display = 'TFT-LCD Display';,"```sql -SELECT * FROM fitnessTrackers WHERE display = 'TFT-LCD Display'; -```",0.6319549084,gpt-4o-mini,152,0.9987480176920732,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is different from TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.955e-05,SELECT * FROM fitnessTrackers WHERE display != 'TFT-LCD Display';,"To fetch the data from the `fitnessTrackers` table where the `display` is different from ""TFT-LCD Display"", you can use the following SQL code: - -```sql -SELECT * FROM fitnessTrackers WHERE display != 'TFT-LCD Display'; -```",0.9439549446,gpt-4o-mini,153,1.02199229137053,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'AMOLED Display',Show the data of the table fitnessTrackers where display not equal to AMOLED Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.705e-05,SELECT * FROM fitnessTrackers WHERE display <> 'AMOLED Display';,"```sql -SELECT * FROM fitnessTrackers WHERE display <> 'AMOLED Display'; -```",0.5772778988,gpt-4o-mini,154,1.0050341835484686,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `averagebatterylife` > 14,Show the data of the table fitnessTrackers where averagebatterylife is greater than 14,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.945e-05,"SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14;","```sql -SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14; -```",1.0601222515,gpt-4o-mini,155,1.0237983251844018,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` > 45690.0,Show the data of the table fitnessTrackers where sellingprice is greater than 45690.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.885e-05,SELECT * FROM fitnessTrackers WHERE sellingprice > 45690.0;,"```sql -SELECT * FROM fitnessTrackers WHERE sellingprice > 45690.0; -```",1.0862073898,gpt-4o-mini,156,1.0116100766432619,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` < 46990.0,Show the data of the table fitnessTrackers where sellingprice is less than 46990.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.925e-05,"SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0;","Here is the SQL code to fetch the data from the `fitnessTrackers` table where the `sellingprice` is less than 46990.0: - -```sql -SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0; -```",1.3712944984,gpt-4o-mini,157,1.0002945308491422,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` > 4.6,Show the data of the table fitnessTrackers where rating is greater than 4.6,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.735e-05,SELECT * FROM fitnessTrackers WHERE rating > 4.6;,"```sql -SELECT * FROM fitnessTrackers WHERE rating > 4.6; -```",0.7620484829,gpt-4o-mini,158,1.0346895514216763,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0,Show the data of the table fitnessTrackers where rating is less than 4.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.735e-05,SELECT * FROM fitnessTrackers WHERE rating < 4.0;,"```sql -SELECT * FROM fitnessTrackers WHERE rating < 4.0; -```",0.4898586273,gpt-4o-mini,159,1.0152848926399984,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` == '12/1/2018',Show the data of the table salesTransactions where date is equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.745e-05,"SELECT * -FROM salesTransactions -WHERE date = '12/1/2018';","Here is the SQL code to fetch the data from the `salesTransactions` table where the date is equal to '12/1/2018': - -```sql -SELECT * -FROM salesTransactions -WHERE date = '12/1/2018'; -```",1.2562501431,gpt-4o-mini,160,1.0076622854503419,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '9/15/2019',Show the data of the table salesTransactions where date is different from 9/15/2019,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.745e-05,"SELECT * -FROM salesTransactions -WHERE date <> '9/15/2019';","Here is the SQL code to fetch the data from the `salesTransactions` table where the date is different from '9/15/2019': - -```sql -SELECT * -FROM salesTransactions -WHERE date <> '9/15/2019'; -```",1.4971966743,gpt-4o-mini,161,1.0067030984176493,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '12/1/2018',Show the data of the table salesTransactions where date not equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.005e-05,"SELECT * -FROM salesTransactions -WHERE date <> '12/1/2018';","```sql -SELECT * -FROM salesTransactions -WHERE date <> '12/1/2018'; -```",0.4671955109,gpt-4o-mini,162,0.992515063947742,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` == '566959',Show the data of the table salesTransactions where transactionno is equal to 566959,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.66e-05,SELECT * FROM salesTransactions WHERE transactionno = '566959';,"```sql -SELECT * FROM salesTransactions WHERE transactionno = '566959'; -```",0.5249135494,gpt-4o-mini,163,1.0126612350233393,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '579557',Show the data of the table salesTransactions where transactionno is different from 579557,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.72e-05,"SELECT * -FROM salesTransactions -WHERE transactionno <> '579557';","```sql -SELECT * -FROM salesTransactions -WHERE transactionno <> '579557'; -```",2.0507085323,gpt-4o-mini,164,1.0062332038978168,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '549047',Show the data of the table salesTransactions where transactionno not equal to 549047,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.4e-05,SELECT * FROM salesTransactions WHERE transactionno <> '549047';,"Here is the SQL code to fetch the data from the `salesTransactions` table where `transactionno` is not equal to 549047: - -```sql -SELECT * FROM salesTransactions WHERE transactionno <> '549047'; -```",0.9905493259,gpt-4o-mini,165,0.9911434001070613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` == 'Metal-4-Hook-Hanger-French-Chateau',Show the data of the table salesTransactions where productname is equal to Metal-4-Hook-Hanger-French-Chateau,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.38e-05,"SELECT * -FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';","```sql -SELECT * -FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau'; -```",0.6232340336,gpt-4o-mini,166,1.0068785473972457,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Skulls-Water-Transfer-Tattoos',Show the data of the table salesTransactions where productname is different from Skulls-Water-Transfer-Tattoos,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.17e-05,SELECT * FROM salesTransactions WHERE productname <> 'Skulls-Water-Transfer-Tattoos';,"```sql -SELECT * FROM salesTransactions WHERE productname <> 'Skulls-Water-Transfer-Tattoos'; -```",1.080296278,gpt-4o-mini,167,1.0321358461182777,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Pink-Party-Bags',Show the data of the table salesTransactions where productname not equal to Pink-Party-Bags,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.91e-05,"SELECT * -FROM salesTransactions -WHERE productname <> 'Pink-Party-Bags';","Here is the SQL code to fetch the data from the `salesTransactions` table where the `productname` is not equal to 'Pink-Party-Bags': - -```sql -SELECT * -FROM salesTransactions -WHERE productname <> 'Pink-Party-Bags'; -```",1.2944977283,gpt-4o-mini,168,0.9904397786978321,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` > 13.27,Show the data of the table salesTransactions where price is greater than 13.27,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.66e-05,SELECT * FROM salesTransactions WHERE price > 13.27;,"```sql -SELECT * FROM salesTransactions WHERE price > 13.27; -```",0.7186353207,gpt-4o-mini,169,1.0658850509709068,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` < 6.19,Show the data of the table salesTransactions where price is less than 6.19,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.72e-05,"SELECT * -FROM salesTransactions -WHERE price < 6.19;","```sql -SELECT * -FROM salesTransactions -WHERE price < 6.19; -```",4.0056078434,gpt-4o-mini,170,1.007513037224974,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` > 2,Show the data of the table salesTransactions where quantity is greater than 2,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.51e-05,SELECT * FROM salesTransactions WHERE quantity > 2;,"```sql -SELECT * FROM salesTransactions WHERE quantity > 2; -```",0.8348345757,gpt-4o-mini,171,1.0069152316607732,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` < 1,Show the data of the table salesTransactions where quantity is less than 1,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.51e-05,SELECT * FROM salesTransactions WHERE quantity < 1;,"```sql -SELECT * FROM salesTransactions WHERE quantity < 1; -```",0.7341032028,gpt-4o-mini,172,1.0273419183487984,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` > 14001.0,Show the data of the table salesTransactions where customerno is greater than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.61e-05,SELECT * FROM salesTransactions WHERE customerno > 14001.0;,"Here is the SQL code to fetch the data from the `salesTransactions` table where `customerno` is greater than 14001.0: - -```sql -SELECT * FROM salesTransactions WHERE customerno > 14001.0; -```",0.9966804981,gpt-4o-mini,173,1.0359206818490456,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` < 14001.0,Show the data of the table salesTransactions where customerno is less than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.81e-05,SELECT * FROM salesTransactions WHERE customerno < 14001.0;,"```sql -SELECT * FROM salesTransactions WHERE customerno < 14001.0; -```",0.6122717857,gpt-4o-mini,174,1.0213004720553016,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`,How many different strapmaterial are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.61e-05,"SELECT COUNT(DISTINCT strapmaterial) AS different_strapmaterials -FROM fitnessTrackers;","To fetch the number of different `strapmaterial` entries in the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT strapmaterial) AS different_strapmaterials -FROM fitnessTrackers; -```",4.3534889221,gpt-4o-mini,175,1.014519200375089,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `brandname`) FROM `fitnessTrackers`,How many different brandname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.87e-05,"SELECT COUNT(DISTINCT brandname) AS unique_brand_count -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT brandname) AS unique_brand_count -FROM fitnessTrackers; -```",0.4694390297,gpt-4o-mini,176,0.9996391582122848,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `modelname`) FROM `fitnessTrackers`,How many different modelname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.55e-05,"SELECT COUNT(DISTINCT modelname) AS different_model_count -FROM fitnessTrackers;","To fetch the number of different `modelname` entries in the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT modelname) AS different_model_count -FROM fitnessTrackers; -```",1.4303622246,gpt-4o-mini,177,1.0424600819460825,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `color`) FROM `fitnessTrackers`,How many different color are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.015e-05,"SELECT COUNT(DISTINCT color) AS different_colors -FROM fitnessTrackers;","To count the number of different colors in the `fitnessTrackers` table, you can use the `COUNT` function combined with `DISTINCT`. Here's the SQL code to achieve that: - -```sql -SELECT COUNT(DISTINCT color) AS different_colors -FROM fitnessTrackers; -```",1.0448870659,gpt-4o-mini,178,1.0010236654389517,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`,How many different display are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.235e-05,"SELECT COUNT(DISTINCT display) AS different_displays -FROM fitnessTrackers;","To retrieve the number of different displays in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT display) AS different_displays -FROM fitnessTrackers; -```",1.0125417709,gpt-4o-mini,179,0.9930961003016194,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`rating`) FROM `fitnessTrackers`,Find the maximum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.935e-05,"SELECT MAX(rating) AS maximum_rating -FROM fitnessTrackers;","To find the maximum rating from the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT MAX(rating) AS maximum_rating -FROM fitnessTrackers; -```",0.8947284222,gpt-4o-mini,180,1.0727811060162586,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`rating`) FROM `fitnessTrackers`,Find the minimum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.875e-05,"SELECT MIN(rating) AS minimum_rating -FROM fitnessTrackers;","To find the minimum rating for the table `fitnessTrackers`, you can use the following SQL code: - -```sql -SELECT MIN(rating) AS minimum_rating -FROM fitnessTrackers; -```",0.9097485542,gpt-4o-mini,181,1.012181198515033,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`rating`) FROM `fitnessTrackers`,Find the average rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.875e-05,"SELECT AVG(rating) AS average_rating -FROM fitnessTrackers;","To find the average rating for the table `fitnessTrackers`, you can use the following SQL code: - -```sql -SELECT AVG(rating) AS average_rating -FROM fitnessTrackers; -```",0.9988620281,gpt-4o-mini,182,1.0023365770356882,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`originalprice`) FROM `fitnessTrackers`,Find the maximum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.19e-05,"SELECT MAX(originalprice) AS max_originalprice -FROM fitnessTrackers;","To fetch the maximum `originalprice` from the `fitnessTrackers` table, you can use the following SQL code: - -```sql -SELECT MAX(originalprice) AS max_originalprice -FROM fitnessTrackers; -```",0.8586165905,gpt-4o-mini,183,0.9897807961027955,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`originalprice`) FROM `fitnessTrackers`,Find the minimum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.69e-05,"SELECT MIN(originalprice) AS minimum_original_price -FROM fitnessTrackers;","```sql -SELECT MIN(originalprice) AS minimum_original_price -FROM fitnessTrackers; -```",0.7396075726,gpt-4o-mini,184,1.0169209303852917,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`originalprice`) FROM `fitnessTrackers`,Find the average originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.69e-05,"SELECT AVG(originalprice) AS average_original_price -FROM fitnessTrackers;","```sql -SELECT AVG(originalprice) AS average_original_price -FROM fitnessTrackers; -```",0.7694396973,gpt-4o-mini,185,1.0145305270634897,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `transactionno`) FROM `salesTransactions`,How many different transactionno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.235e-05,"SELECT COUNT(DISTINCT transactionno) AS unique_transaction_count -FROM salesTransactions;","To fetch the count of different transaction numbers in the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT transactionno) AS unique_transaction_count -FROM salesTransactions; -```",0.9020228386,gpt-4o-mini,186,1.0406926902662876,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `date`) FROM `salesTransactions`,How many different date are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.1e-05,"SELECT COUNT(DISTINCT date) AS unique_date_count -FROM salesTransactions;","To count the number of different dates in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT date) AS unique_date_count -FROM salesTransactions; -```",1.0585746765,gpt-4o-mini,187,0.9920517819116835,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productno`) FROM `salesTransactions`,How many different productno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.415e-05,"SELECT COUNT(DISTINCT productno) AS different_product_count -FROM salesTransactions;","To fetch the number of different `productno` entries in the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT productno) AS different_product_count -FROM salesTransactions; -```",2.5461492538,gpt-4o-mini,188,1.0017873264773518,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productname`) FROM `salesTransactions`,How many different productname are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.235e-05,"SELECT COUNT(DISTINCT productname) AS different_product_count -FROM salesTransactions;","To fetch the number of different product names in the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT productname) AS different_product_count -FROM salesTransactions; -```",0.9961879253,gpt-4o-mini,189,1.031286618047968,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`,How many different country are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.1e-05,"SELECT COUNT(DISTINCT country) AS different_country_count -FROM salesTransactions;","To find the number of different countries in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT country) AS different_country_count -FROM salesTransactions; -```",0.8844645023,gpt-4o-mini,190,1.003964455429308,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`price`) FROM `salesTransactions`,Find the maximum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.46e-05,"SELECT MAX(price) AS maximum_price -FROM salesTransactions;","To find the maximum price from the `salesTransactions` table, you can utilize the SQL `MAX` function. Here’s the SQL code to execute the query: - -```sql -SELECT MAX(price) AS maximum_price -FROM salesTransactions; -```",0.7032580376,gpt-4o-mini,191,0.9993550400044123,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`price`) FROM `salesTransactions`,Find the minimum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.74e-05,"SELECT MIN(price) AS minimum_price -FROM salesTransactions;","To find the minimum price in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT MIN(price) AS minimum_price -FROM salesTransactions; -```",0.9544634819,gpt-4o-mini,192,1.032864138115034,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`price`) FROM `salesTransactions`,Find the average price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.62e-05,SELECT AVG(price) AS average_price FROM salesTransactions;,"To find the average price from the table `salesTransactions`, you can use the following SQL code: - -```sql -SELECT AVG(price) AS average_price FROM salesTransactions; -```",0.8932967186,gpt-4o-mini,193,1.0209012972994291,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`customerno`) FROM `salesTransactions`,Find the maximum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",3.615e-05,"SELECT MAX(customerno) AS max_customerno -FROM salesTransactions;","```sql -SELECT MAX(customerno) AS max_customerno -FROM salesTransactions; -```",0.630705595,gpt-4o-mini,194,1.032546508252195,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`customerno`) FROM `salesTransactions`,Find the minimum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.055e-05,"SELECT MIN(customerno) AS min_customerno -FROM salesTransactions;","To find the minimum `customerno` from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT MIN(customerno) AS min_customerno -FROM salesTransactions; -```",1.3397068977,gpt-4o-mini,195,1.0503250175093672,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`customerno`) FROM `salesTransactions`,Find the average customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.055e-05,"SELECT AVG(customerno) AS average_customerno -FROM salesTransactions;","To find the average `customerno` from the `salesTransactions` table, you can use the following SQL code: - -```sql -SELECT AVG(customerno) AS average_customerno -FROM salesTransactions; -```",1.3286960125,gpt-4o-mini,196,1.020707933350622,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paymenttype` FROM `accountFraud`,Show the different paymenttype in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.235e-05,"SELECT DISTINCT paymenttype -FROM accountFraud;","To retrieve the distinct payment types from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT DISTINCT paymenttype -FROM accountFraud; -```",0.6733715534,gpt-4o-mini,197,1.003202597904639,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `housingstatus` FROM `accountFraud`,Show the different housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.235e-05,"SELECT DISTINCT housingstatus -FROM accountFraud;","To fetch the distinct housing statuses from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT DISTINCT housingstatus -FROM accountFraud; -```",0.8101050854,gpt-4o-mini,198,1.0123983847061693,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `deviceos` FROM `accountFraud`,Show the different deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.535e-05,"SELECT DISTINCT deviceos -FROM accountFraud;","To fetch the different device operating systems (deviceos) from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT DISTINCT deviceos -FROM accountFraud; -```",0.6707143784,gpt-4o-mini,199,0.9897305625712088,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `emailisfree` FROM `accountFraud`,Show the different emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.61e-05,"SELECT DISTINCT emailisfree -FROM accountFraud;","To fetch the distinct values of `emailisfree` from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT DISTINCT emailisfree -FROM accountFraud; -```",1.0583734512,gpt-4o-mini,200,1.0099610073821066,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hasothercards` FROM `accountFraud`,Show the different hasothercards in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",3.93e-05,"SELECT DISTINCT hasothercards -FROM accountFraud;","```sql -SELECT DISTINCT hasothercards -FROM accountFraud; -```",0.374712944,gpt-4o-mini,201,1.0117017128132841,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `customerid` FROM `latePayment`,Show the different customerid in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.88e-05,SELECT DISTINCT customerid FROM latePayment;,"To show the different `customerid` in the `latePayment` table, you can use the `DISTINCT` keyword in your SQL query. Here is the SQL code: - -```sql -SELECT DISTINCT customerid FROM latePayment; -```",1.4083273411,gpt-4o-mini,202,1.0305802339487118,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `invoicedate` FROM `latePayment`,Show the different invoicedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.175e-05,"SELECT DISTINCT invoicedate -FROM latePayment;","To fetch the different invoice dates from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT invoicedate -FROM latePayment; -```",0.9661610126,gpt-4o-mini,203,0.9909354314303027,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `duedate` FROM `latePayment`,Show the different duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.495e-05,"SELECT DISTINCT duedate -FROM latePayment;","To fetch the different due dates in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT DISTINCT duedate -FROM latePayment; -``` - -This query selects all unique values from the `duedate` column in the `latePayment` table.",1.4753503799,gpt-4o-mini,204,1.0125946948882443,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paperlessbill` FROM `latePayment`,Show the different paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.595e-05,"SELECT DISTINCT paperlessbill -FROM latePayment;","To fetch the different values of the `paperlessbill` column from the `latePayment` table, you can execute the following SQL code: - -```sql -SELECT DISTINCT paperlessbill -FROM latePayment; -```",0.8316590786,gpt-4o-mini,205,1.0539624898984836,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `disputed` FROM `latePayment`,Show the different disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.265e-05,"SELECT DISTINCT disputed -FROM latePayment;","To fetch the different disputes in the `latePayment` table from the given database schema, you can use the following SQL code: - -```sql -SELECT DISTINCT disputed -FROM latePayment; -```",1.5124568939,gpt-4o-mini,206,1.0018752909698898,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `employmentstatus`, COUNT(*) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.255e-05,"SELECT employmentstatus, COUNT(*) AS row_count -FROM accountFraud -GROUP BY employmentstatus;","To count the number of rows in the `accountFraud` table grouped by each `employmentstatus`, you can use the following SQL query: - -```sql -SELECT employmentstatus, COUNT(*) AS row_count -FROM accountFraud -GROUP BY employmentstatus; -```",1.1565909386,gpt-4o-mini,207,1.0151136856318468,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `deviceos`, COUNT(*) FROM `accountFraud` GROUP BY `deviceos`","For each deviceos, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.075e-05,"SELECT deviceos, COUNT(*) AS row_count -FROM accountFraud -GROUP BY deviceos;","Here is the SQL code to count the number of rows in the `accountFraud` table for each `deviceos`: - -```sql -SELECT deviceos, COUNT(*) AS row_count -FROM accountFraud -GROUP BY deviceos; -```",0.8161218166,gpt-4o-mini,208,0.9892093262187577,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `emailisfree`, COUNT(*) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.27e-05,"SELECT emailisfree, COUNT(*) AS row_count -FROM accountFraud -GROUP BY emailisfree;","To count the number of rows in the `accountFraud` table for each distinct value of `emailisfree`, you can use the following SQL query: - -```sql -SELECT emailisfree, COUNT(*) AS row_count -FROM accountFraud -GROUP BY emailisfree; -``` - -This query selects each unique value of `emailisfree` from the `accountFraud` table and counts the number of occurrences (rows) for each of those values, grouping the results by `emailisfree`.",3.492110014,gpt-4o-mini,209,1.0103330870855924,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `hasothercards`, COUNT(*) FROM `accountFraud` GROUP BY `hasothercards`","For each hasothercards, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.31e-05,"SELECT hasothercards, COUNT(*) AS row_count -FROM accountFraud -GROUP BY hasothercards;","To count the number of rows in the `accountFraud` table for each `hasothercards`, you can use the following SQL query: - -```sql -SELECT hasothercards, COUNT(*) AS row_count -FROM accountFraud -GROUP BY hasothercards; -``` - -This query selects the `hasothercards` field and counts the number of rows for each unique value of `hasothercards`, grouping the results accordingly.",1.8047173023,gpt-4o-mini,210,1.0110607468585218,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `housingstatus`, COUNT(*) FROM `accountFraud` GROUP BY `housingstatus`","For each housingstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.875e-05,"SELECT housingstatus, COUNT(*) AS count -FROM accountFraud -GROUP BY housingstatus;","To count the number of rows in the `accountFraud` table for each `housingstatus`, you can use the following SQL query: - -```sql -SELECT housingstatus, COUNT(*) AS count -FROM accountFraud -GROUP BY housingstatus; -``` - -This SQL code selects the `housingstatus` column and counts the number of rows for each unique `housingstatus`, grouping the results accordingly.",1.4668953419,gpt-4o-mini,211,0.9892582277125189,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.42e-05,"SELECT emailisfree, MIN(dateofbirthdistinctemails4w) AS min_date_of_birth -FROM accountFraud -GROUP BY emailisfree;","Here is the SQL code to execute the given question over the `accountFraud` table: - -```sql -SELECT emailisfree, MIN(dateofbirthdistinctemails4w) AS min_date_of_birth -FROM accountFraud -GROUP BY emailisfree; -```",1.1806628704,gpt-4o-mini,212,1.004381008776943,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.66e-05,"SELECT emailisfree, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree;","To retrieve the maximum `dateofbirthdistinctemails4w` for each unique `emailisfree` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree; -``` - -This code groups the results by `emailisfree` and calculates the maximum value of `dateofbirthdistinctemails4w` for each group.",2.1574738026,gpt-4o-mini,213,1.001263672223763,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001002,"SELECT emailisfree, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree;","To fetch the average of `dateofbirthdistinctemails4w` for each unique `emailisfree` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree; -``` - -This query selects the `emailisfree` column and calculates the average of `dateofbirthdistinctemails4w`, grouping the results by each unique `emailisfree`.",2.0061151981,gpt-4o-mini,214,0.9886352979067486,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.86e-05,"SELECT emailisfree, SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree;","To fetch the sum of `dateofbirthdistinctemails4w` for each distinct `emailisfree` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree, SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree; -```",1.5101325512,gpt-4o-mini,215,1.0058952340399197,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.96e-05,"SELECT emailisfree, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY emailisfree;","To fetch the minimum `sessionlengthminutes` for each distinct `emailisfree` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY emailisfree; -```",0.9184429646,gpt-4o-mini,216,1.00730721087645,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.66e-05,"SELECT emailisfree, MAX(sessionlengthminutes) AS max_session_length -FROM accountFraud -GROUP BY emailisfree;","To retrieve the maximum session length in minutes for each unique email in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree, MAX(sessionlengthminutes) AS max_session_length -FROM accountFraud -GROUP BY emailisfree; -```",2.1332128048,gpt-4o-mini,217,0.9786128057604676,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.96e-05,"SELECT emailisfree, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY emailisfree;","To find the average session length in minutes for each unique value in the `emailisfree` column from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY emailisfree; -``` - -This SQL code selects the `emailisfree` column and calculates the average of the `sessionlengthminutes` for each group of `emailisfree`. The result will show each unique email status alongside its corresponding average session length.",1.9741020203,gpt-4o-mini,218,1.0045856517389986,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.96e-05,"SELECT emailisfree, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY emailisfree;","To fetch the sum of `sessionlengthminutes` for each `emailisfree` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY emailisfree; -```",1.1552882195,gpt-4o-mini,219,1.0008806589986856,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.265e-05,"SELECT employmentstatus, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus;","To execute the query as per your requirement, you can use the following SQL code. This code retrieves the minimum value of `dateofbirthdistinctemails4w` for each `employmentstatus` from the `accountFraud` table. - -```sql -SELECT employmentstatus, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus; -```",1.6556024551,gpt-4o-mini,220,1.0007129522241829,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.825e-05,"SELECT employmentstatus, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus;","To formulate the SQL query that retrieves the maximum value of `dateofbirthdistinctemails4w` for each unique `employmentstatus` from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT employmentstatus, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus; -``` - -This query groups the results by `employmentstatus` and calculates the maximum value of `dateofbirthdistinctemails4w` for each group.",1.8368446827,gpt-4o-mini,221,1.0091243448431848,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.605e-05,"SELECT employmentstatus, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus;","To retrieve the average of `dateofbirthdistinctemails4w` grouped by `employmentstatus` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT employmentstatus, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus; -```",1.7360179424,gpt-4o-mini,222,1.0091123014976642,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.185e-05,"SELECT employmentstatus, SUM(dateofbirthdistinctemails4w) AS total_distinct_emails -FROM accountFraud -GROUP BY employmentstatus;","Here's the SQL code to fetch the sum of `dateofbirthdistinctemails4w` for each `employmentstatus` from the `accountFraud` table: - -```sql -SELECT employmentstatus, SUM(dateofbirthdistinctemails4w) AS total_distinct_emails -FROM accountFraud -GROUP BY employmentstatus; -```",1.095582962,gpt-4o-mini,223,1.0023633025046417,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.705e-05,"SELECT employmentstatus, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY employmentstatus;","To fetch the minimum `sessionlengthminutes` for each `employmentstatus` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT employmentstatus, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY employmentstatus; -```",1.2376863956,gpt-4o-mini,224,1.01525055354063,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.345e-05,"SELECT employmentstatus, MAX(sessionlengthminutes) AS max_session_length -FROM accountFraud -GROUP BY employmentstatus;","Here is the SQL code to fetch the maximum session length in minutes for each employment status from the `accountFraud` table: - -```sql -SELECT employmentstatus, MAX(sessionlengthminutes) AS max_session_length -FROM accountFraud -GROUP BY employmentstatus; -```",0.9115877151,gpt-4o-mini,225,1.0124840373465627,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.785e-05,"SELECT employmentstatus, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY employmentstatus; -```",0.9692468643,gpt-4o-mini,226,0.9805610691998614,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.825e-05,"SELECT employmentstatus, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY employmentstatus;","To retrieve the sum of `sessionlengthminutes` for each distinct `employmentstatus` from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT employmentstatus, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY employmentstatus; -```",1.5905840397,gpt-4o-mini,227,1.0068870657397246,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessdate`, COUNT(*) FROM `latePayment` GROUP BY `paperlessdate`","For each paperlessdate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.315e-05,"SELECT paperlessdate, COUNT(*) AS row_count -FROM latePayment -GROUP BY paperlessdate;","To count the number of rows in the `latePayment` table for each unique `paperlessdate`, you can use the following SQL query: - -```sql -SELECT paperlessdate, COUNT(*) AS row_count -FROM latePayment -GROUP BY paperlessdate; -```",1.3004393578,gpt-4o-mini,228,1.0046775535711514,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessbill`, COUNT(*) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.115e-05,"SELECT paperlessbill, COUNT(*) AS payment_count -FROM latePayment -GROUP BY paperlessbill;","To count the number of rows in the `latePayment` table for each distinct `paperlessbill`, you can use the following SQL query: - -```sql -SELECT paperlessbill, COUNT(*) AS payment_count -FROM latePayment -GROUP BY paperlessbill; -``` - -This query selects the distinct `paperlessbill`, counts the number of entries for each distinct `paperlessbill`, and groups the results accordingly.",1.5693004131,gpt-4o-mini,229,1.0565237717785525,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `customerid`, COUNT(*) FROM `latePayment` GROUP BY `customerid`","For each customerid, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.12e-05,"SELECT customerid, COUNT(*) AS latePaymentCount -FROM latePayment -GROUP BY customerid;","To count the number of rows in the `latePayment` table for each `customerid`, you can use the following SQL query: - -```sql -SELECT customerid, COUNT(*) AS latePaymentCount -FROM latePayment -GROUP BY customerid; -```",1.4197716713,gpt-4o-mini,230,1.0286930529946243,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `duedate`, COUNT(*) FROM `latePayment` GROUP BY `duedate`","For each duedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.835e-05,"SELECT duedate, COUNT(*) AS number_of_late_payments -FROM latePayment -GROUP BY duedate;","You can use the following SQL query to count the number of rows in the `latePayment` table for each `duedate`: - -```sql -SELECT duedate, COUNT(*) AS number_of_late_payments -FROM latePayment -GROUP BY duedate; -``` - -This SQL statement groups the records in the `latePayment` table by `duedate` and counts the number of rows for each date, returning the results along with the corresponding `duedate`.",2.324161768,gpt-4o-mini,231,1.0022259181992854,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `invoicedate`, COUNT(*) FROM `latePayment` GROUP BY `invoicedate`","For each invoicedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.435e-05,"SELECT invoicedate, COUNT(*) AS count_of_payments -FROM latePayment -GROUP BY invoicedate;","To count the number of rows in the `latePayment` table for each `invoicedate`, you can use the following SQL code: - -```sql -SELECT invoicedate, COUNT(*) AS count_of_payments -FROM latePayment -GROUP BY invoicedate; -```",1.588265419,gpt-4o-mini,232,1.0353054013785516,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.105e-05,"SELECT paperlessbill, MIN(daystosettle) AS min_daystosettle -FROM latePayment -GROUP BY paperlessbill;","To fetch the minimum `daystosettle` for each `paperlessbill` from the `latePayment` table, you can use the following SQL code: - -```sql -SELECT paperlessbill, MIN(daystosettle) AS min_daystosettle -FROM latePayment -GROUP BY paperlessbill; -``` - -This query selects the `paperlessbill` and the minimum `daystosettle`, grouping the results by `paperlessbill` to ensure the minimum is calculated for each distinct bill.",2.5807805061,gpt-4o-mini,233,1.0096871440149962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.045e-05,"SELECT paperlessbill, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY paperlessbill;","To fetch the maximum value of `daystosettle` for each distinct `paperlessbill` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessbill, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY paperlessbill; -``` - -This query selects the `paperlessbill` and the maximum `daystosettle` for each `paperlessbill`, grouping the results by `paperlessbill`.",1.4352660179,gpt-4o-mini,234,0.9995584213142379,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.885e-05,"SELECT paperlessbill, AVG(daystosettle) AS avg_daystosettle -FROM latePayment -GROUP BY paperlessbill;","To find the average `daystosettle` for each unique `paperlessbill` in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT paperlessbill, AVG(daystosettle) AS avg_daystosettle -FROM latePayment -GROUP BY paperlessbill; -```",1.0276627541,gpt-4o-mini,235,1.022562541398551,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.805e-05,"SELECT paperlessbill, SUM(daystosettle) AS total_daystosettle -FROM latePayment -GROUP BY paperlessbill;","To fetch the sum of `daystosettle` for each `paperlessbill` from the `latePayment` table, you can use the following SQL code: - -```sql -SELECT paperlessbill, SUM(daystosettle) AS total_daystosettle -FROM latePayment -GROUP BY paperlessbill; -``` - -This code selects each unique `paperlessbill`, calculates the total `daystosettle` for each, and groups the results by `paperlessbill`.",2.4207060337,gpt-4o-mini,236,1.0071760362471132,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.49e-05,"SELECT paperlessbill, MIN(dayslate) AS min_dayslate -FROM latePayment -GROUP BY paperlessbill;","To retrieve the minimum of `dayslate` for each `paperlessbill` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessbill, MIN(dayslate) AS min_dayslate -FROM latePayment -GROUP BY paperlessbill; -``` - -This query selects the `paperlessbill` and the minimum value of `dayslate`, grouping the results by each unique `paperlessbill`.",2.1644961834,gpt-4o-mini,237,1.0126875543415959,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.79e-05,"SELECT paperlessbill, MAX(dayslate) AS max_dayslate -FROM latePayment -GROUP BY paperlessbill;","To fetch the maximum `dayslate` for each `paperlessbill` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessbill, MAX(dayslate) AS max_dayslate -FROM latePayment -GROUP BY paperlessbill; -``` - -This query selects the `paperlessbill` and the maximum value of `dayslate` for each distinct `paperlessbill`, grouping the results by `paperlessbill`.",1.7164721489,gpt-4o-mini,238,1.014752088068257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.55e-05,"SELECT paperlessbill, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY paperlessbill;","To find the average of `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT paperlessbill, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY paperlessbill; -``` - -This query selects the `paperlessbill` and calculates the average (`AVG`) of `dayslate`, grouping the results by `paperlessbill`.",2.1798012257,gpt-4o-mini,239,1.0036532158708709,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.31e-05,"SELECT paperlessbill, SUM(dayslate) AS total_days_late -FROM latePayment -GROUP BY paperlessbill;","To fetch the sum of `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT paperlessbill, SUM(dayslate) AS total_days_late -FROM latePayment -GROUP BY paperlessbill; -``` - -This SQL query groups the results by `paperlessbill` and calculates the sum of `dayslate` for each group.",1.2991919518,gpt-4o-mini,240,1.0005409595763972,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.63e-05,"SELECT customerid, MIN(daystosettle) AS min_daystosettle -FROM latePayment -GROUP BY customerid;","To retrieve the minimum `daystosettle` for each `customerid` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid, MIN(daystosettle) AS min_daystosettle -FROM latePayment -GROUP BY customerid; -```",1.3123173714,gpt-4o-mini,241,1.0340136693142317,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.75e-05,"SELECT customerid, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY customerid;","To find the maximum number of `daystosettle` for each `customerid` in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT customerid, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY customerid; -```",1.4231164455,gpt-4o-mini,242,0.9934892992451831,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.69e-05,"SELECT customerid, AVG(daystosettle) AS avg_daystosettle -FROM latePayment -GROUP BY customerid;","To fetch the average of `daystosettle` for each `customerid` from the `latePayment` table, you can use the following SQL code: - -```sql -SELECT customerid, AVG(daystosettle) AS avg_daystosettle -FROM latePayment -GROUP BY customerid; -```",1.1581053734,gpt-4o-mini,243,1.0081620250182666,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.69e-05,"SELECT customerid, SUM(daystosettle) AS total_daystosettle -FROM latePayment -GROUP BY customerid;","To fetch the sum of `daystosettle` for each `customerid` in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid, SUM(daystosettle) AS total_daystosettle -FROM latePayment -GROUP BY customerid; -```",1.8091361523,gpt-4o-mini,244,0.9967456387949447,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.495e-05,"SELECT customerid, MIN(dayslate) AS min_dayslate -FROM latePayment -GROUP BY customerid;","To find the minimum of `dayslate` for each `customerid` in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid, MIN(dayslate) AS min_dayslate -FROM latePayment -GROUP BY customerid; -```",1.0014610291,gpt-4o-mini,245,0.9992419166992011,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.315e-05,"SELECT customerid, MAX(dayslate) AS max_dayslate -FROM latePayment -GROUP BY customerid;","Here is the SQL code to find the maximum of `dayslate` for each `customerid` in the `latePayment` table: - -```sql -SELECT customerid, MAX(dayslate) AS max_dayslate -FROM latePayment -GROUP BY customerid; -```",1.8857159615,gpt-4o-mini,246,1.0253773450514159,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.435e-05,"SELECT customerid, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY customerid;","You can use the following SQL code to calculate the average of `dayslate` for each `customerid` in the `latePayment` table: - -```sql -SELECT customerid, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY customerid; -```",1.3341281414,gpt-4o-mini,247,1.0417855577507291,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.435e-05,"SELECT customerid, SUM(dayslate) AS total_days_late -FROM latePayment -GROUP BY customerid;","To sum the `dayslate` for each `customerid` in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid, SUM(dayslate) AS total_days_late -FROM latePayment -GROUP BY customerid; -```",1.3397417068,gpt-4o-mini,248,0.9968077741469323,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) >= 5,Find all the paymenttype that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.665e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5; -```",0.8338215351,gpt-4o-mini,249,1.0144454249207324,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) <= 5,Find all the paymenttype that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.805e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5;","To find all the `paymenttype` values that have at most 5 records in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5; -``` - -This query groups the records by `paymenttype` and counts the number of records for each type, then filters the results to include only those with 5 or fewer records.",1.9888892174,gpt-4o-mini,250,1.041563769279043,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) >= 5,Find all the deviceos that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.645e-05,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) >= 5;","To find all the unique `deviceos` that have at least 5 records in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) >= 5; -```",1.1345081329,gpt-4o-mini,251,1.001438586730382,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) <= 5,Find all the deviceos that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.925e-05,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5;","To find all the `deviceos` that have at most 5 records in the `accountFraud` table, you can use a SQL query that groups by the `deviceos` column and uses the `HAVING` clause to filter groups with a count of records less than or equal to 5. - -Here’s the SQL code for that: - -```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5; -```",1.3772752285,gpt-4o-mini,252,1.002305794534672,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) >= 10,Find all the emailisfree that have at least 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.64e-05,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) >= 10;","To find all the `emailisfree` values that have at least 10 records in the `accountFraud` table, you can use a SQL query with a `GROUP BY` clause combined with the `HAVING` clause to filter the groups based on their count. Here’s the SQL code to execute: - -```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) >= 10; -```",1.4250221252,gpt-4o-mini,253,0.9903954675248708,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) <= 10,Find all the emailisfree that have at most 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.12e-05,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) <= 10;","To find all the distinct `emailisfree` values that have at most 10 records in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) <= 10; -``` - -This query groups the records by the `emailisfree` column, counts the occurrences for each unique email, and then filters to include only those with 10 or fewer records.",1.5084204674,gpt-4o-mini,254,1.0039826056030172,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) >= 141.44,List the hasothercards which average of creditriskscore is at least 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.59e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44;","Here is the SQL code to list the `hasothercards` where the average `creditriskscore` is at least 141.44 from the `accountFraud` table: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44; -```",1.2866427898,gpt-4o-mini,255,0.9995816445604,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) <= 141.44,List the hasothercards which average of creditriskscore is at most 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.77e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) <= 141.44;","To fetch the `hasothercards` where the average `creditriskscore` is at most 141.44 from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) <= 141.44; -```",2.4047784805,gpt-4o-mini,256,0.9818886123344263,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) >= 1144.5,List the hasothercards which summation of creditriskscore is at least 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.1e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5;","To list the `hasothercards` with a summation of `creditriskscore` that is at least 1144.5 from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5; -```",2.1854183674,gpt-4o-mini,257,0.9876320359810311,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) <= 1144.5,List the hasothercards which summation of creditriskscore is at most 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5; -```",1.0729548931,gpt-4o-mini,258,1.0236077844696683,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) >= 7.85,List the hasothercards which average of sessionlengthminutes is at least 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.255e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85;","To fetch the required information from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85; -``` - -This query groups the records by `hasothercards` and calculates the average of `sessionlengthminutes` for each group. It then filters the results to only include groups where the average is at least 7.85.",1.5181970596,gpt-4o-mini,259,1.037292088596749,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) <= 7.85,List the hasothercards which average of sessionlengthminutes is at most 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.695e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85;","To retrieve the `hasothercards` entries from the `accountFraud` table where the average of `sessionlengthminutes` is at most 7.85, you can use the following SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85; -```",0.9843597412,gpt-4o-mini,260,1.003975481707263,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) >= 58.5,List the hasothercards which summation of sessionlengthminutes is at least 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.73e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5;","To execute the given query on the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5; -``` - -This code will select the distinct `hasothercards` entries and sum their corresponding `sessionlengthminutes`, returning only those entries where the total is at least 58.5.",3.3491928577,gpt-4o-mini,261,1.012106283050803,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) <= 58.5,List the hasothercards which summation of sessionlengthminutes is at most 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.77e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) <= 58.5;","To retrieve the `hasothercards` values from the `accountFraud` table where the summation of `sessionlengthminutes` does not exceed 58.5, you can use the following SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) <= 58.5; -```",1.7269289494,gpt-4o-mini,262,0.9100340298972434,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) >= 109.56,List the paymenttype which average of creditriskscore is at least 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.175e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56; -```",1.0498430729,gpt-4o-mini,263,1.0951192560003544,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) <= 109.56,List the paymenttype which average of creditriskscore is at most 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00010035,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56;","To list the payment types with an average credit risk score of at most 109.56 from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56; -``` - -This SQL code groups the records by `paymenttype` and calculates the average `creditriskscore` for each group, returning only those payment types that have an average score less than or equal to 109.56.",2.1181294918,gpt-4o-mini,264,0.9989149276764776,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) >= 572.25,List the paymenttype which summation of creditriskscore is at least 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001149,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25;","To answer the question about listing the payment types where the summation of the credit risk score is at least 572.25 from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25; -``` - -This SQL query groups the records in the `accountFraud` table by the `paymenttype`, calculates the summation of the `creditriskscore` for each payment type, and filters the results to include only those payment types that meet or exceed a total credit risk score of 572.25.",3.4698722363,gpt-4o-mini,265,1.0401791748159677,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) <= 572.25,List the paymenttype which summation of creditriskscore is at most 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.71e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25;","To list the `paymenttype` from the `accountFraud` table where the summation of `creditriskscore` is at most 572.25, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25; -```",1.5168075562,gpt-4o-mini,266,1.044386298446141,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) >= 5.45,List the paymenttype which average of sessionlengthminutes is at least 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.38e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45;","To list the `paymenttype` from the `accountFraud` table where the average `sessionlengthminutes` is at least 5.45, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45; -```",1.944309473,gpt-4o-mini,267,1.0078878639165334,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) <= 5.45,List the paymenttype which average of sessionlengthminutes is at most 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.2e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45;","To fetch the payment types from the `accountFraud` table where the average session length in minutes is at most 5.45, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45; -```",1.5494911671,gpt-4o-mini,268,1.0795205129068277,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) >= 29.25,List the paymenttype which summation of sessionlengthminutes is at least 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.395e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25;","To retrieve the payment types from the `accountFraud` table where the summation of `sessionlengthminutes` is at least 29.25, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25; -```",4.5178849697,gpt-4o-mini,269,0.9989831753846756,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) <= 29.25,List the paymenttype which summation of sessionlengthminutes is at most 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.515e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25;","To get the `paymenttype` from the `accountFraud` table where the summation of `sessionlengthminutes` is at most 29.25, you can use the following SQL code: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25; -```",1.1868760586,gpt-4o-mini,270,1.0300887927347637,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) >= 1,Find all the customerid that have at least 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.53e-05,"SELECT DISTINCT customerid -FROM latePayment;","To find all the `customerid`s that have at least one record in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT DISTINCT customerid -FROM latePayment; -``` - -This query selects unique `customerid`s from the `latePayment` table, which implies that each `customerid` has at least one record.",2.1966149807,gpt-4o-mini,271,1.0129160064885658,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) <= 1,Find all the customerid that have at most 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.33e-05,"SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(*) <= 1;","Here is the SQL code to find all the `customerid` values that have at most 1 record in the `latePayment` table: - -```sql -SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(*) <= 1; -```",0.8933022022,gpt-4o-mini,272,1.0109797631922282,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) >= 10,Find all the disputed that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.015e-05,"SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) >= 10;","To find all the disputes that have at least 10 records in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) >= 10; -``` - -This query selects the `disputed` field from the `latePayment` table, groups the results by the `disputed` values, and uses the `HAVING` clause to filter groups that have 10 or more records.",2.4176087379,gpt-4o-mini,273,1.009486729968355,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) <= 10,Find all the disputed that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.855e-05,"SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10;","To find all the disputes that have at most 10 records in the `latePayment` table, you can use a SQL query that groups by the `disputed` column and filters based on the count of records. Here's the SQL code for that: - -```sql -SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10; -``` - -This query selects the `disputed` values from the `latePayment` table, groups them, and filters out any groups (disputed values) that have more than 10 records.",1.3823239803,gpt-4o-mini,274,1.0397521364526372,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) >= 10,Find all the paperlessbill that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.705e-05,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10;","To find all the `paperlessbill` entries that have at least 10 records in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10; -``` - -This SQL code groups the records in the `latePayment` table by `paperlessbill`, counts the number of records for each distinct `paperlessbill`, and filters the results to return only those with a count of 10 or more.",4.3184461594,gpt-4o-mini,275,1.0055866988277802,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) <= 10,Find all the paperlessbill that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.385e-05,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10;","To find all the `paperlessbill` entries in the `latePayment` table that have at most 10 records, you can use the following SQL query: - -```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10; -``` - -This SQL code groups the results by `paperlessbill` and filters those groups to only include those with 10 or fewer records.",1.6868879795,gpt-4o-mini,276,0.9791280211934,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) >= 2.95,List the invoicedate which average of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.945e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95;","Here is the SQL code to fetch the invoicedate where the average of dayslate is at least 2.95 from the `latePayment` table: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95; -```",1.62195611,gpt-4o-mini,277,0.9614193839780105,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) <= 2.95,List the invoicedate which average of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.485e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95;","To fetch the `invoicedate` values from the `latePayment` table where the average of `dayslate` is at most 2.95, you can use the following SQL code: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95; -```",1.2375090122,gpt-4o-mini,278,1.010420408841176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) >= 2.95,List the invoicedate which summation of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.66e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95;","To fetch the invoicedates from the `latePayment` table where the summation of `dayslate` is at least 2.95, you can use the following SQL code: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95; -``` - -This query groups the records by `invoicedate` and uses the HAVING clause to filter for those groups where the total `dayslate` is at least 2.95.",6.0097432137,gpt-4o-mini,279,1.004176157830827,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) <= 2.95,List the invoicedate which summation of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001002,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95;","To fetch the `invoicedate` with the summation of `dayslate` that is at most 2.95 from the `latePayment` table, you can use the following SQL code: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95; -``` - -This SQL query groups the results by `invoicedate` and filters the groups to include only those where the sum of `dayslate` is less than or equal to 2.95.",2.4018831253,gpt-4o-mini,280,0.9950358659627969,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) >= 4902805164.55,List the invoicedate which average of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.385e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55; -```",0.9280986786,gpt-4o-mini,281,1.0266931982001835,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) <= 4902805164.55,List the invoicedate which average of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.385e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55; -```",0.9732868671,gpt-4o-mini,282,0.9952395711872197,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) >= 4902805164.55,List the invoicedate which summation of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000105,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55;","To write an SQL query that lists the invoicedates where the summation of invoicenumber is at least 4902805164.55 from the `latePayment` table, we can use the following SQL code: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55; -``` - -This query groups the results by `invoicedate`, sums the `invoicenumber` for each group, and returns only those groups where the sum meets or exceeds the specified threshold.",2.3912665844,gpt-4o-mini,283,1.0061944081238328,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) <= 4902805164.55,List the invoicedate which summation of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001176,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) <= 4902805164.55;","To answer the given question, you will need to write a SQL query that selects the `invoicedate` from the `latePayment` table where the summation of `invoicenumber` is at most `4902805164.55`. However, it seems that you want to sum `invoicenumber` values grouped by `invoicedate` and then filter where the total is less than or equal to `4902805164.55`. - -Here is the SQL code that accomplishes that: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) <= 4902805164.55; -```",1.5986731052,gpt-4o-mini,284,1.005946149357687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) >= 1.43,List the paperlessdate which average of dayslate is at least 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.425e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43;","To fetch the `paperlessdate` values from the `latePayment` table where the average of `dayslate` is at least 1.43, you can execute the following SQL code: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43; -```",1.9568963051,gpt-4o-mini,285,1.0064000341475046,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) <= 1.43,List the paperlessdate which average of dayslate is at most 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.605e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) <= 1.43;","To create an SQL query that lists the `paperlessdate` where the average of `dayslate` is at most 1.43 in the `latePayment` table, you can use the following code: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) <= 1.43; -```",1.3849065304,gpt-4o-mini,286,1.0247545590359186,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) >= 3.47,List the paperlessdate which summation of dayslate is at least 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.44e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47;","To retrieve the `paperlessdate` from the `latePayment` table where the summation of `dayslate` is at least 3.47, you can use the following SQL query: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47; -```",1.4746198654,gpt-4o-mini,287,1.0070647995831472,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) <= 3.47,List the paperlessdate which summation of dayslate is at most 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.44e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47;","To fetch the `paperlessdate` from the `latePayment` table where the summation of `dayslate` is at most 3.47, you can use the following SQL code: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47; -```",1.7400200367,gpt-4o-mini,288,1.0126635355875544,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) >= 4611214877.81,List the paperlessdate which average of invoicenumber is at least 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.385e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81; -```",1.3671307564,gpt-4o-mini,289,1.0578436519243684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) <= 4611214877.81,List the paperlessdate which average of invoicenumber is at most 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.025e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) <= 4611214877.81;","To retrieve the `paperlessdate` from the `latePayment` table where the average of `invoicenumber` is at most `4611214877.81`, you can use the following SQL query: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) <= 4611214877.81; -```",1.505074501,gpt-4o-mini,290,0.9933327731282235,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) >= 5768006075.94,List the paperlessdate which summation of invoicenumber is at least 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.16e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94;","To fetch the `paperlessdate` values from the `latePayment` table where the summation of `invoicenumber` is at least 5768006075.94, you can use the following SQL query: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94; -```",1.7217483521,gpt-4o-mini,291,1.0049348670550406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) <= 5768006075.94,List the paperlessdate which summation of invoicenumber is at most 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.1e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94;","To list the `paperlessdate` where the summation of `invoicenumber` is at most 5768006075.94 in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94; -```",1.4830236435,gpt-4o-mini,292,1.0382221214603982,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `housingstatus`) = (SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`),What are the hasothercards with all the housingstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.27e-05,"SELECT DISTINCT hasothercards, housingstatus -FROM accountFraud;","To fetch the distinct `hasothercards` values along with their associated `housingstatus` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT hasothercards, housingstatus -FROM accountFraud; -```",0.8748679161,gpt-4o-mini,293,0.0,0.143,1.0,0.0,0.125,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the hasothercards with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001377,"SELECT DISTINCT hasothercards, paymenttype -FROM accountFraud -ORDER BY hasothercards;","To fetch the unique values of ""hasothercards"" along with all associated ""paymenttype"" values from the ""accountFraud"" table, you can use the following SQL code: - -```sql -SELECT hasothercards, paymenttype -FROM accountFraud -ORDER BY hasothercards; -``` - -This query selects the ""hasothercards"" and ""paymenttype"" columns from the ""accountFraud"" table and orders the result by the ""hasothercards"". If you would like to group the results to see all unique combinations of `hasothercards` and their corresponding `paymenttype`, you can modify it slightly: - -```sql -SELECT DISTINCT hasothercards, paymenttype -FROM accountFraud -ORDER BY hasothercards; -``` - -This will ensure that each combination of `hasothercards` and `paymenttype` is represented only once in the result set.",2.8787620068,gpt-4o-mini,294,0.0,0.167,1.0,0.0,0.167,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `employmentstatus`) = (SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`),What are the hasothercards with all the employmentstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.73e-05,"SELECT DISTINCT hasothercards, employmentstatus -FROM accountFraud;","To retrieve the unique values of ""hasothercards"" associated with all different ""employmentstatus"" entries from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT hasothercards, employmentstatus -FROM accountFraud; -``` - -This query selects distinct combinations of ""hasothercards"" and ""employmentstatus"" from the `accountFraud` table, allowing you to see all the unique associations between the two columns.",1.9089138508,gpt-4o-mini,295,0.0,0.143,1.0,0.0,0.143,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `deviceos`) = (SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`),What are the hasothercards with all the deviceos in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001065,"SELECT DISTINCT hasothercards -FROM accountFraud -WHERE deviceos IS NOT NULL;","To answer the question about fetching the `hasothercards` associated with all the distinct `deviceos` in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT hasothercards -FROM accountFraud -WHERE deviceos IS NOT NULL; -``` - -This SQL code retrieves distinct values of `hasothercards` from the `accountFraud` table, ensuring that it only considers rows where the `deviceos` column is not null. If you wish to specify additional filtering based on the `deviceos`, please provide more details, and I can adjust the query accordingly.",2.7696819305,gpt-4o-mini,296,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the hasothercards with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.765e-05,"SELECT hasothercards -FROM accountFraud -WHERE emailisfree = 'true';","To fetch the `hasothercards` values for all records in the `accountFraud` table where `emailisfree` is true, you can use the following SQL code: - -```sql -SELECT hasothercards -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -Make sure to adjust the condition for `emailisfree` according to how it is stored in your database (it might be `1`, `0`, `'yes'`, etc.). Here, I assumed it is stored as the string `'true'`.",1.970130682,gpt-4o-mini,297,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the housingstatus with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.015e-05,"SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud;","To retrieve the distinct combinations of `housingstatus` and `paymenttype` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud; -```",1.2701458931,gpt-4o-mini,298,0.0,0.222,1.0,0.0,0.154,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the housingstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001047,"SELECT housingstatus -FROM accountFraud -WHERE emailisfree = 'true';","To fetch the `housingstatus` values from the `accountFraud` table where `emailisfree` is true, you can use the following SQL query: - -```sql -SELECT housingstatus -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -Make sure to update the condition based on how `emailisfree` is represented in your database (e.g., it could be a boolean type or a string). In the above example, it's assumed that if `emailisfree` is stored as a string, it would be 'true' when it's free. Adjust accordingly if necessary.",2.3886814117,gpt-4o-mini,299,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the paymenttype with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001203,"SELECT DISTINCT paymenttype -FROM accountFraud -WHERE paymenttype IS NOT NULL -GROUP BY paymenttype -HAVING COUNT(*) = SUM(CASE WHEN emailisfree IS NOT NULL THEN 1 ELSE 0 END);","To answer the question ""What are the payment types with all the emailisfree in the table accountFraud?"", we need to write an SQL query that selects distinct payment types where all entries associated with those payment types have an `emailisfree` value. - -Here's the SQL code to do that: - -```sql -SELECT DISTINCT paymenttype -FROM accountFraud -WHERE paymenttype IS NOT NULL -GROUP BY paymenttype -HAVING COUNT(*) = SUM(CASE WHEN emailisfree IS NOT NULL THEN 1 ELSE 0 END); -``` - -This query groups the results by `paymenttype` and uses the `HAVING` clause to ensure that all records for each payment type have a non-null `emailisfree` value.",2.4479544163,gpt-4o-mini,300,0.0,0.75,1.0,0.0,0.75,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `employmentstatus` FROM `accountFraud` GROUP BY `employmentstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the employmentstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.03e-05,"SELECT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true';","To fetch the `employmentstatus` from the `accountFraud` table where `emailisfree` is true (assuming `emailisfree` has values such as 'true' or 'false' represented as text), you can use the following SQL query: - -```sql -SELECT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -Make sure to adjust the condition for `emailisfree` as per the actual representation in your database if it's different.",1.8303272724,gpt-4o-mini,301,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the deviceos with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001071,"SELECT DISTINCT deviceos -FROM accountFraud -WHERE emailisfree = 'true';","To fetch the device operating systems (`deviceos`) from the `accountFraud` table where all the emails are free (`emailisfree`), you can use the following SQL code: - -```sql -SELECT DISTINCT deviceos -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This SQL query selects distinct device operating systems from the `accountFraud` table for the rows where the `emailisfree` column indicates that the email is free (assuming 'true' or a similar keyword indicates that). If the condition for ""email is free"" is different, you may need to adjust the query accordingly.",3.116435051,gpt-4o-mini,302,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the customerid with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.805e-05,"SELECT DISTINCT customerid -FROM latePayment -WHERE disputed = 'true'; -- Assuming 'true' indicates a disputed payment.","To retrieve the `customerid` values associated with all disputed records in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT customerid -FROM latePayment -WHERE disputed = 'true'; -- Assuming 'true' indicates a disputed payment. -``` - -Make sure to adjust the condition in the `WHERE` clause if the representation of disputes is different in your database (for example, it could be a different value or a boolean).",2.4439971447,gpt-4o-mini,303,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the customerid with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.315e-05,"SELECT DISTINCT customerid -FROM latePayment -WHERE paperlessbill IS NOT NULL AND paperlessbill != '';","To fetch the `customerid`s with all the `paperlessbill` in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT customerid -FROM latePayment -WHERE paperlessbill IS NOT NULL AND paperlessbill != ''; -``` - -This SQL code selects distinct `customerid`s from the `latePayment` table where the `paperlessbill` column is not null and not an empty string, indicating that there is an associated paperless bill for those customers.",2.316505909,gpt-4o-mini,304,0.0,0.059,1.0,0.0,0.059,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the paperlessdate with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001062,"SELECT paperlessdate -FROM latePayment -WHERE disputed IS NOT NULL AND disputed <> '';","To retrieve the `paperlessdate` along with all records where `disputed` is true from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE disputed IS NOT NULL AND disputed <> ''; -``` - -This query selects the `paperlessdate` from the `latePayment` table for rows where the `disputed` column is not null and not an empty string, which typically indicates a dispute. If you have specific criteria for what constitutes a disputed entry (e.g., a particular value), please adjust the `WHERE` clause accordingly.",2.3972451687,gpt-4o-mini,305,0.0,0.059,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the paperlessdate with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.65e-05,"SELECT paperlessdate, paperlessbill -FROM latePayment;","To retrieve the `paperlessdate` along with all the `paperlessbill` entries from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate, paperlessbill -FROM latePayment; -``` - -This query selects the columns `paperlessdate` and `paperlessbill` from the `latePayment` table.",7.6227278709,gpt-4o-mini,306,0.0,0.053,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the disputed with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.72e-05,"SELECT * -FROM latePayment -WHERE disputed IS NOT NULL AND paperlessbill IS NOT NULL;","To retrieve the disputed records with all the `paperlessbill` entries in the `latePayment` table, the SQL query would look something like this: - -```sql -SELECT * -FROM latePayment -WHERE disputed IS NOT NULL AND paperlessbill IS NOT NULL; -``` - -This query selects all columns from the `latePayment` table where the `disputed` field is not NULL (indicating that the payment is disputed) and the `paperlessbill` field is also not NULL (indicating that the payment was made via paperless billing).",4.7533063889,gpt-4o-mini,307,0.0,0.014,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` ASC,Show all data ordered by deviceos in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.11e-05,"SELECT * FROM accountFraud -ORDER BY deviceos ASC;","```sql -SELECT * FROM accountFraud -ORDER BY deviceos ASC; -```",0.7058024406,gpt-4o-mini,308,1.0029636535271462,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` DESC,Show all data ordered by deviceos in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.11e-05,"SELECT * FROM accountFraud -ORDER BY deviceos DESC;","```sql -SELECT * FROM accountFraud -ORDER BY deviceos DESC; -```",0.620085001,gpt-4o-mini,309,1.0048528798492316,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` ASC,Show all data ordered by dateofbirthdistinctemails4w in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.405e-05,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC;","Here is the SQL code to fetch all data from the `accountFraud` table ordered by `dateofbirthdistinctemails4w` in ascending order: - -```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC; -```",1.5083456039,gpt-4o-mini,310,0.9665082887443905,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` DESC,Show all data ordered by dateofbirthdistinctemails4w in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.345e-05,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC;","Here's the SQL code to fetch all data from the `accountFraud` table ordered by `dateofbirthdistinctemails4w` in descending order: - -```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC; -```",0.9798743725,gpt-4o-mini,311,1.000570605672695,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` ASC,Project the creditriskscore ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.21e-05,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC;","Here is the SQL code to project the `creditriskscore` from the `accountFraud` table and order it in ascending order: - -```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC; -```",0.9793212414,gpt-4o-mini,312,1.030663598517326,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` DESC,Project the creditriskscore ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.21e-05,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC;","Here is the SQL code to project the `creditriskscore` from the `accountFraud` table and order it in descending order: - -```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC; -```",1.0024900436,gpt-4o-mini,313,1.0108364597434942,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` ASC,Project the sessionlengthminutes ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.955e-05,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC;","Here is the SQL code to project the `sessionlengthminutes` from the `accountFraud` table, ordered in ascending order: - -```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC; -```",1.5355703831,gpt-4o-mini,314,0.9948136656930364,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` DESC,Project the sessionlengthminutes ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.895e-05,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC;","Here's the SQL code to fetch the `sessionlengthminutes` from the `accountFraud` table, ordered in descending order: - -```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC; -```",0.9086196423,gpt-4o-mini,315,1.0415762710085124,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` ASC,Show all data ordered by invoicenumber in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.11e-05,"SELECT * FROM latePayment -ORDER BY invoicenumber ASC;","```sql -SELECT * FROM latePayment -ORDER BY invoicenumber ASC; -```",0.5344843864,gpt-4o-mini,316,1.0020306195548905,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` DESC,Show all data ordered by invoicenumber in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.85e-05,"SELECT * FROM latePayment -ORDER BY invoicenumber DESC;","Here is the SQL code to fetch all data from the `latePayment` table, ordered by `invoicenumber` in descending order: - -```sql -SELECT * FROM latePayment -ORDER BY invoicenumber DESC; -```",1.052380085,gpt-4o-mini,317,1.0186743422947673,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` ASC,Show all data ordered by invoiceamount in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.035e-05,"SELECT * FROM latePayment -ORDER BY invoiceamount ASC;","```sql -SELECT * FROM latePayment -ORDER BY invoiceamount ASC; -```",0.5980093479,gpt-4o-mini,318,1.0051687790697534,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` DESC,Show all data ordered by invoiceamount in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.595e-05,"SELECT * FROM latePayment -ORDER BY invoiceamount DESC;","Here is the SQL code to fetch all data from the `latePayment` table ordered by `invoiceamount` in descending order: - -```sql -SELECT * FROM latePayment -ORDER BY invoiceamount DESC; -```",1.0608992577,gpt-4o-mini,319,1.024038055589778,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` ASC,Project the daystosettle ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.76e-05,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC;","Here's the SQL code to project the `daystosettle` column ordered in ascending order from the `latePayment` table: - -```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC; -```",1.0670218468,gpt-4o-mini,320,0.9979750837122745,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` DESC,Project the daystosettle ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.94e-05,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC;","To fetch the `daystosettle` from the `latePayment` table ordered in descending order, you can use the following SQL code: - -```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC; -```",1.1947872639,gpt-4o-mini,321,1.0662534088520261,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` ASC,Project the disputed ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001023,"SELECT * -FROM latePayment -WHERE disputed = 'true' -ORDER BY invoicedate ASC;","To project the disputes in the `latePayment` table ordered in ascending order, you can use the following SQL code: - -```sql -SELECT * -FROM latePayment -WHERE disputed = 'true' -ORDER BY invoicedate ASC; -``` - -This SQL query selects all columns from the `latePayment` table where the `disputed` column indicates that the invoice is disputed (assuming 'true' is the value that indicates a dispute), and it orders the results by the `invoicedate` in ascending order. Adjust the `WHERE` clause value based on your actual data representation of disputes.",1.9248268604,gpt-4o-mini,322,0.0,0.0,0.0,0.0,0.0,0.0,0.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` DESC,Project the disputed ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001023,"SELECT * -FROM latePayment -WHERE disputed = 'yes' -ORDER BY invoicedate DESC;","To project the disputed orders in descending order based on the `latePayment` table, you can use the following SQL code: - -```sql -SELECT * -FROM latePayment -WHERE disputed = 'yes' -ORDER BY invoicedate DESC; -``` - -In this code, we select all columns from the `latePayment` table where the `disputed` column indicates a dispute (assumed to be represented by 'yes'), and we order the results by `invoicedate` in descending order. Adjust the condition in the `WHERE` clause if 'yes' is represented differently in your data.",1.7243850231,gpt-4o-mini,323,0.0,0.0,0.0,0.0,0.0,0.0,0.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00011115,"SELECT emailisfree -FROM accountFraud -WHERE emailisfree IS NOT NULL AND emailisfree <> '';","To retrieve all entries from the `accountFraud` table where the `emailisfree` column is not null or empty, you can use the following SQL query: - -```sql -SELECT emailisfree -FROM accountFraud; -``` - -This query will select all values from the `emailisfree` column within the `accountFraud` table. If you specifically need to account for filtering out empty values, you might modify it accordingly. If you need to include a condition to filter out empty strings, the query would be: - -```sql -SELECT emailisfree -FROM accountFraud -WHERE emailisfree IS NOT NULL AND emailisfree <> ''; -```",2.5078921318,gpt-4o-mini,324,1.0231439515309348,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `employmentstatus` FROM `accountFraud`,Show all employmentstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.16e-05,SELECT DISTINCT employmentstatus FROM accountFraud;,"To fetch all unique employment statuses from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT employmentstatus FROM accountFraud; -```",0.8371238708,gpt-4o-mini,325,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `deviceos` FROM `accountFraud`,Show all deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.34e-05,SELECT deviceos FROM accountFraud;,"To retrieve all device operating systems (deviceos) from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT deviceos FROM accountFraud; -```",0.9135780334,gpt-4o-mini,326,1.0096799462094055,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `sessionlengthminutes` FROM `accountFraud`,Show all sessionlengthminutes in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.415e-05,SELECT sessionlengthminutes FROM accountFraud;,"To fetch all values of `sessionlengthminutes` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT sessionlengthminutes FROM accountFraud; -```",1.2345616817,gpt-4o-mini,327,1.0369491558111301,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `housingstatus` FROM `accountFraud`,Show all housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,SELECT DISTINCT housingstatus FROM accountFraud;,"To fetch all the unique `housingstatus` values from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT DISTINCT housingstatus FROM accountFraud; -```",0.8979270458,gpt-4o-mini,328,0.0,1.0,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-ALL,SELECT * FROM `accountFraud`,Show all the rows in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",3.66e-05,SELECT * FROM accountFraud;,"```sql -SELECT * FROM accountFraud; -```",0.4238498211,gpt-4o-mini,329,1.0110732993039953,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.535e-05,SELECT emailisfree FROM accountFraud;,"To fetch all values of the `emailisfree` column from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT emailisfree FROM accountFraud; -```",0.9451706409,gpt-4o-mini,330,1.0460816398109978,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `housingstatus` FROM `accountFraud`","Show all income, housingstatus in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",3.87e-05,"SELECT income, housingstatus FROM accountFraud;","```sql -SELECT income, housingstatus FROM accountFraud; -```",0.8156535625,gpt-4o-mini,331,1.0469331981426975,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `deviceos`, `creditriskscore` FROM `accountFraud`","Show all hasothercards, deviceos, creditriskscore in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.455e-05,"SELECT hasothercards, deviceos, creditriskscore -FROM accountFraud;","```sql -SELECT hasothercards, deviceos, creditriskscore -FROM accountFraud; -```",1.2346172333,gpt-4o-mini,332,1.0075301595239299,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype` FROM `accountFraud`","Show all housingstatus, creditriskscore, sessionlengthminutes, paymenttype in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.68e-05,"SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype -FROM accountFraud;","```sql -SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype -FROM accountFraud; -```",0.8505859375,gpt-4o-mini,333,1.0525118875434114,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes` FROM `accountFraud`","Show all dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.99e-05,"SELECT - dateofbirthdistinctemails4w, - income, - deviceos, - hasothercards, - sessionlengthminutes -FROM - accountFraud;","Here is the SQL code to fetch the requested columns from the `accountFraud` table: - -```sql -SELECT - dateofbirthdistinctemails4w, - income, - deviceos, - hasothercards, - sessionlengthminutes -FROM - accountFraud; -```",1.1576957703,gpt-4o-mini,334,1.005065463064174,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `emailisfree`, `employmentstatus`, `dateofbirthdistinctemails4w`, `sessionlengthminutes`, `income` FROM `accountFraud`","Show all hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.05e-05,"SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income -FROM accountFraud;","To fetch the specified columns from the `accountFraud` table based on the provided question, you can use the following SQL query: - -```sql -SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income -FROM accountFraud; -```",1.8630757332,gpt-4o-mini,335,1.0152360011194597,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, `income` FROM `accountFraud`","Show all creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.675e-05,"SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income -FROM accountFraud;","To fetch the required data from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income -FROM accountFraud; -```",1.5885827541,gpt-4o-mini,336,1.0140543510229985,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `sessionlengthminutes`, `emailisfree`, `deviceos`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `hasothercards` FROM `accountFraud`","Show all creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.185e-05,"SELECT - creditriskscore, - sessionlengthminutes, - emailisfree, - deviceos, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - hasothercards -FROM - accountFraud;","```sql -SELECT - creditriskscore, - sessionlengthminutes, - emailisfree, - deviceos, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - hasothercards -FROM - accountFraud; -```",1.8660326004,gpt-4o-mini,337,0.9965797597744077,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `creditriskscore`, `deviceos`, `emailisfree`, `income`, `sessionlengthminutes` FROM `accountFraud`","Show all housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.18e-05,"SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes -FROM accountFraud;","```sql -SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes -FROM accountFraud; -```",1.0162551403,gpt-4o-mini,338,1.0161789341531302,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessbill` FROM `latePayment`,Show all paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.84e-05,"SELECT * -FROM latePayment -WHERE paperlessbill IS NOT NULL;","To retrieve all entries where the `paperlessbill` column in the `latePayment` table is present, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE paperlessbill IS NOT NULL; -``` - -This query selects all columns from the `latePayment` table where the `paperlessbill` field has a value (is not NULL). If you want to specifically filter for entries with a certain value for `paperlessbill` (like 'yes' if that’s applicable), you would adjust the WHERE clause accordingly.",1.6324322224,gpt-4o-mini,339,0.0,0.014,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `invoiceamount` FROM `latePayment`,Show all invoiceamount in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.085e-05,SELECT invoiceamount FROM latePayment;,"To retrieve all `invoiceamount` values from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT invoiceamount FROM latePayment; -```",0.8107511997,gpt-4o-mini,340,1.0579556245784532,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessdate` FROM `latePayment`,Show all paperlessdate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.04e-05,SELECT paperlessdate FROM latePayment;,"Here is the SQL code to fetch all `paperlessdate` values from the `latePayment` table: - -```sql -SELECT paperlessdate FROM latePayment; -```",0.9942066669,gpt-4o-mini,341,1.0008860817798975,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `duedate` FROM `latePayment`,Show all duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.98e-05,SELECT duedate FROM latePayment;,"To retrieve all due dates from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT duedate FROM latePayment; -```",1.1356143951,gpt-4o-mini,342,1.008362011932176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `daystosettle` FROM `latePayment`,Show all daystosettle in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.22e-05,SELECT daystosettle FROM latePayment;,"To fetch all `daystosettle` values from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT daystosettle FROM latePayment; -```",1.2793428898,gpt-4o-mini,343,1.003874114710425,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-ALL,SELECT * FROM `latePayment`,Show all the rows in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",3.585e-05,SELECT * FROM latePayment;,"```sql -SELECT * FROM latePayment; -```",0.4044063091,gpt-4o-mini,344,1.0192218508713464,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,SELECT `disputed` FROM `latePayment`,Show all disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.77e-05,"SELECT * -FROM latePayment -WHERE disputed IS NOT NULL AND disputed <> '';","To retrieve all entries from the `latePayment` table where the disputes are indicated, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE disputed IS NOT NULL AND disputed <> ''; -``` - -This SQL code selects all columns from the `latePayment` table where the `disputed` column is not null and not an empty string, effectively showing all disputed records.",1.5864095688,gpt-4o-mini,345,0.0,0.014,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `duedate`, `customerid` FROM `latePayment`","Show all duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",3.945e-05,"SELECT duedate, customerid FROM latePayment;","```sql -SELECT duedate, customerid FROM latePayment; -```",0.7582056522,gpt-4o-mini,346,0.995514860313183,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `duedate`, `customerid` FROM `latePayment`","Show all paperlessdate, duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.325e-05,"SELECT paperlessdate, duedate, customerid -FROM latePayment;","Here's the SQL code to fetch the specified columns from the `latePayment` table: - -```sql -SELECT paperlessdate, duedate, customerid -FROM latePayment; -```",0.7648472786,gpt-4o-mini,347,1.2320931842248997,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `paperlessdate`, `invoicedate`, `duedate` FROM `latePayment`","Show all daystosettle, paperlessdate, invoicedate, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.76e-05,"SELECT daystosettle, paperlessdate, invoicedate, duedate -FROM latePayment;","Here is the SQL code to fetch the desired information from the `latePayment` table: - -```sql -SELECT daystosettle, paperlessdate, invoicedate, duedate -FROM latePayment; -```",1.2230238914,gpt-4o-mini,348,0.9986344417602716,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `invoicedate`, `dayslate`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, invoicedate, dayslate, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.465e-05,"SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate -FROM latePayment;","To fetch the required information from the `latePayment` table as specified in your question, you can use the following SQL code: - -```sql -SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate -FROM latePayment; -```",1.2918200493,gpt-4o-mini,349,1.016926935321545,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `invoiceamount`, `daystosettle`, `disputed`, `paperlessdate`, `duedate`, `invoicenumber` FROM `latePayment`","Show all invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.975e-05,"SELECT - invoiceamount, - daystosettle, - disputed, - paperlessdate, - duedate, - invoicenumber -FROM - latePayment;","Here is the SQL code to return the specified columns from the `latePayment` table: - -```sql -SELECT - invoiceamount, - daystosettle, - disputed, - paperlessdate, - duedate, - invoicenumber -FROM - latePayment; -```",1.1113381386,gpt-4o-mini,350,1.0057365378036711,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed` FROM `latePayment`","Show all customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.465e-05,"SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed -FROM latePayment;","To retrieve the specified fields from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed -FROM latePayment; -```",1.221143961,gpt-4o-mini,351,1.0205815883853144,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `customerid`, `paperlessbill`, `paperlessdate`, `invoicedate`, `duedate`, `invoicenumber`, `disputed` FROM `latePayment`","Show all daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.915e-05,"SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed -FROM latePayment;","To retrieve the specified columns from the `latePayment` table, the SQL query would look like this: - -```sql -SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed -FROM latePayment; -```",1.5501675606,gpt-4o-mini,352,1.0002753375509215,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `dayslate`, `daystosettle`, `invoicedate`, `customerid`, `invoiceamount`, `paperlessbill`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.035e-05,"SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate -FROM latePayment;","Here is the SQL code to fetch the required data from the `latePayment` table: - -```sql -SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate -FROM latePayment; -```",2.4424619675,gpt-4o-mini,353,1.0295792290939227,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` == 'AC',Show the data of the table accountFraud where paymenttype is equal to AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.11e-05,SELECT * FROM accountFraud WHERE paymenttype = 'AC';,"```sql -SELECT * FROM accountFraud WHERE paymenttype = 'AC'; -```",0.5864593983,gpt-4o-mini,354,1.0018644131289107,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AC',Show the data of the table accountFraud where paymenttype is different from AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.17e-05,"SELECT * -FROM accountFraud -WHERE paymenttype <> 'AC';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype <> 'AC'; -```",0.7783529758,gpt-4o-mini,355,1.0087823547943497,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AA',Show the data of the table accountFraud where paymenttype not equal to AA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.15e-05,"SELECT * -FROM accountFraud -WHERE paymenttype <> 'AA';","To fetch the data from the `accountFraud` table where the `paymenttype` is not equal to 'AA', you can use the following SQL code: - -```sql -SELECT * -FROM accountFraud -WHERE paymenttype <> 'AA'; -```",0.9935109615,gpt-4o-mini,356,1.006686415210779,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` == 'CB',Show the data of the table accountFraud where employmentstatus is equal to CB,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.85e-05,"SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB';","Here is the SQL code to fetch the data from the `accountFraud` table where `employmentstatus` is equal to 'CB': - -```sql -SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB'; -```",1.341340065,gpt-4o-mini,357,1.0460701795209237,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus is different from CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.23e-05,"SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA'; -```",0.4646427631,gpt-4o-mini,358,1.0064952878648692,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus not equal to CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.03e-05,"SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA';","Here is the SQL code to retrieve the data from the `accountFraud` table where the `employmentstatus` is not equal to 'CA': - -```sql -SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA'; -```",1.5832006931,gpt-4o-mini,359,1.0237059911149635,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` == 'windows',Show the data of the table accountFraud where deviceos is equal to windows,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.11e-05,SELECT * FROM accountFraud WHERE deviceos = 'windows';,"```sql -SELECT * FROM accountFraud WHERE deviceos = 'windows'; -```",0.5629999638,gpt-4o-mini,360,1.003833438924789,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos is different from other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.27e-05,"SELECT * -FROM accountFraud -WHERE deviceos <> 'other';","To retrieve the data from the `accountFraud` table where the `deviceos` column has values different from ""other"", you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE deviceos <> 'other'; -```",1.2436699867,gpt-4o-mini,361,1.0399442954785023,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos not equal to other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.17e-05,"SELECT * -FROM accountFraud -WHERE deviceos <> 'other';","```sql -SELECT * -FROM accountFraud -WHERE deviceos <> 'other'; -```",0.6138525009,gpt-4o-mini,362,1.0022886926050922,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `income` < 0.4,Show the data of the table accountFraud where income is less than 0.4,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.94e-05,"SELECT * -FROM accountFraud -WHERE income < 0.4;","Here is the SQL code to fetch the data from the `accountFraud` table where the income is less than 0.4: - -```sql -SELECT * -FROM accountFraud -WHERE income < 0.4; -```",1.2378635406,gpt-4o-mini,363,1.0434474254463282,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` > 3.749706225590873,Show the data of the table accountFraud where sessionlengthminutes is greater than 3.749706225590873,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.71e-05,"SELECT * FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873;","```sql -SELECT * FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873; -```",1.0954856873,gpt-4o-mini,364,1.0041951574646206,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` < 4.886676763177824,Show the data of the table accountFraud where sessionlengthminutes is less than 4.886676763177824,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.81e-05,"SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824;","Here is the SQL code to fetch the data from the `accountFraud` table where `sessionlengthminutes` is less than 4.886676763177824: - -```sql -SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824; -```",4.922396183,gpt-4o-mini,365,1.0204915807948174,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` > 108,Show the data of the table accountFraud where creditriskscore is greater than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.275e-05,SELECT * FROM accountFraud WHERE creditriskscore > 108;,"```sql -SELECT * FROM accountFraud WHERE creditriskscore > 108; -```",0.6145715714,gpt-4o-mini,366,1.0033676982248552,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` < 108,Show the data of the table accountFraud where creditriskscore is less than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.335e-05,"SELECT * -FROM accountFraud -WHERE creditriskscore < 108;","```sql -SELECT * -FROM accountFraud -WHERE creditriskscore < 108; -```",0.6261489391,gpt-4o-mini,367,1.0557668833664227,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` == 'No',Show the data of the table latePayment where disputed is equal to No,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.58e-05,SELECT * FROM latePayment WHERE disputed = 'No';,"Here is the SQL code to fetch the data from the `latePayment` table where `disputed` is equal to 'No': - -```sql -SELECT * FROM latePayment WHERE disputed = 'No'; -```",0.6613731384,gpt-4o-mini,368,1.0039581692440738,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed is different from Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",3.96e-05,SELECT * FROM latePayment WHERE disputed != 'Yes';,"```sql -SELECT * FROM latePayment WHERE disputed != 'Yes'; -```",1.2638626099,gpt-4o-mini,369,1.093943903506011,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed not equal to Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6e-05,"SELECT * -FROM latePayment -WHERE disputed <> 'Yes';","To fetch the data from the `latePayment` table where the `disputed` column is not equal to 'Yes', you can use the following SQL code: - -```sql -SELECT * -FROM latePayment -WHERE disputed <> 'Yes'; -```",1.2804939747,gpt-4o-mini,370,1.0121498171752188,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` == '2/6/2012',Show the data of the table latePayment where paperlessdate is equal to 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.54e-05,"SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012';","Here is the SQL code to fetch the data from the `latePayment` table where `paperlessdate` is equal to '2/6/2012': - -```sql -SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012'; -```",2.4990208149,gpt-4o-mini,371,1.0049152395679346,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '2/6/2012',Show the data of the table latePayment where paperlessdate is different from 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.56e-05,"SELECT * -FROM latePayment -WHERE paperlessdate <> '2/6/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate <> '2/6/2012'; -```",0.8294670582,gpt-4o-mini,372,1.0549583970627288,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '1/26/2012',Show the data of the table latePayment where paperlessdate not equal to 1/26/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.56e-05,"SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012'; -```",0.9400815964,gpt-4o-mini,373,1.02532212097238,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` == '4/11/2012',Show the data of the table latePayment where invoicedate is equal to 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.9e-05,"SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012';","To fetch the data from the `latePayment` table where the `invoicedate` is equal to '4/11/2012', you can use the following SQL code: - -```sql -SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012'; -```",1.5974011421,gpt-4o-mini,374,1.00746407689626,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '4/11/2012',Show the data of the table latePayment where invoicedate is different from 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.5e-05,SELECT * FROM latePayment WHERE invoicedate <> '4/11/2012';,"```sql -SELECT * FROM latePayment WHERE invoicedate <> '4/11/2012'; -```",1.3084445,gpt-4o-mini,375,1.0297153005048048,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '6/18/2013',Show the data of the table latePayment where invoicedate not equal to 6/18/2013,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.72e-05,"SELECT * -FROM latePayment -WHERE invoicedate <> '6/18/2013';","Here is the SQL code to fetch the data from the `latePayment` table where the `invoicedate` is not equal to '6/18/2013': - -```sql -SELECT * -FROM latePayment -WHERE invoicedate <> '6/18/2013'; -```",1.2748098373,gpt-4o-mini,376,1.006228295842087,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` > 0,Show the data of the table latePayment where dayslate is greater than 0,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.61e-05,SELECT * FROM latePayment WHERE dayslate > 0;,"Here is the SQL code to fetch data from the `latePayment` table where `dayslate` is greater than 0: - -```sql -SELECT * FROM latePayment WHERE dayslate > 0; -```",1.1662640572,gpt-4o-mini,377,1.0708646512615803,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` < 6,Show the data of the table latePayment where dayslate is less than 6,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.67e-05,SELECT * FROM latePayment WHERE dayslate < 6;,"Here is the SQL code to fetch the data from the `latePayment` table where `dayslate` is less than 6: - -```sql -SELECT * FROM latePayment WHERE dayslate < 6; -```",1.0296547413,gpt-4o-mini,378,1.005686172596934,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` > 84.86,Show the data of the table latePayment where invoiceamount is greater than 84.86,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.2e-05,SELECT * FROM latePayment WHERE invoiceamount > 84.86;,"```sql -SELECT * FROM latePayment WHERE invoiceamount > 84.86; -```",0.5017726421,gpt-4o-mini,379,1.041134758687729,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` < 37.49,Show the data of the table latePayment where invoiceamount is less than 37.49,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6e-05,"SELECT * -FROM latePayment -WHERE invoiceamount < 37.49;","Here is the SQL code to fetch the data from the table `latePayment` where `invoiceamount` is less than 37.49: - -```sql -SELECT * -FROM latePayment -WHERE invoiceamount < 37.49; -```",0.8955349922,gpt-4o-mini,380,1.0122344602046858,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` > 9465847338,Show the data of the table latePayment where invoicenumber is greater than 9465847338,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.33e-05,SELECT * FROM latePayment WHERE invoicenumber > 9465847338;,"Here is the SQL code to fetch the data from the `latePayment` table where the `invoicenumber` is greater than 9465847338: - -```sql -SELECT * FROM latePayment WHERE invoicenumber > 9465847338; -```",0.8021099567,gpt-4o-mini,381,1.0033970297929344,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` < 6528247418,Show the data of the table latePayment where invoicenumber is less than 6528247418,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",4.41e-05,"SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418;","```sql -SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418; -```",0.6865143776,gpt-4o-mini,382,1.0167324783226166,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`,How many different employmentstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.075e-05,"SELECT COUNT(DISTINCT employmentstatus) AS unique_employment_status_count -FROM accountFraud;","To find out how many different employment statuses are present in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT employmentstatus) AS unique_employment_status_count -FROM accountFraud; -```",1.0426256657,gpt-4o-mini,383,0.9869997114094629,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`,How many different housingstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.455e-05,"SELECT COUNT(DISTINCT housingstatus) AS different_housing_status_count -FROM accountFraud;","To count the number of distinct `housingstatus` values in the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT housingstatus) AS different_housing_status_count -FROM accountFraud; -``` - -This query selects the count of unique `housingstatus` entries from the `accountFraud` table.",1.917206049,gpt-4o-mini,384,1.05464833832288,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`,How many different deviceos are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.195e-05,"SELECT COUNT(DISTINCT deviceos) AS distinct_deviceos_count -FROM accountFraud;","To fetch the number of different device operating systems (deviceos) in the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT deviceos) AS distinct_deviceos_count -FROM accountFraud; -```",0.8259351254,gpt-4o-mini,385,1.0151700822137624,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hasothercards`) FROM `accountFraud`,How many different hasothercards are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.27e-05,"SELECT COUNT(DISTINCT hasothercards) AS different_hasothercards_count -FROM accountFraud;","To count the number of different `hasothercards` entries in the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT hasothercards) AS different_hasothercards_count -FROM accountFraud; -```",1.8933725357,gpt-4o-mini,386,1.0053288027026828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`,How many different emailisfree are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.27e-05,"SELECT COUNT(DISTINCT emailisfree) AS different_emailisfree_count -FROM accountFraud;","To count the number of different `emailisfree` values in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT emailisfree) AS different_emailisfree_count -FROM accountFraud; -```",1.3221535683,gpt-4o-mini,387,0.9836964954712983,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`creditriskscore`) FROM `accountFraud`,Find the maximum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.105e-05,"SELECT MAX(creditriskscore) AS max_creditriskscore -FROM accountFraud;","To find the maximum `creditriskscore` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT MAX(creditriskscore) AS max_creditriskscore -FROM accountFraud; -```",1.1384971142,gpt-4o-mini,388,1.0176150329550544,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`creditriskscore`) FROM `accountFraud`,Find the minimum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.105e-05,"SELECT MIN(creditriskscore) AS minimum_credit_risk_score -FROM accountFraud;","To find the minimum `creditriskscore` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT MIN(creditriskscore) AS minimum_credit_risk_score -FROM accountFraud; -```",1.8212325573,gpt-4o-mini,389,1.00690084106755,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`creditriskscore`) FROM `accountFraud`,Find the average creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.105e-05,"SELECT AVG(creditriskscore) AS average_creditriskscore -FROM accountFraud;","To find the average `creditriskscore` from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT AVG(creditriskscore) AS average_creditriskscore -FROM accountFraud; -```",1.3795042038,gpt-4o-mini,390,1.0414856683065992,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`income`) FROM `accountFraud`,Find the maximum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,"SELECT MAX(income) AS maximum_income -FROM accountFraud;","To find the maximum income from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT MAX(income) AS maximum_income -FROM accountFraud; -```",0.7648851871,gpt-4o-mini,391,1.014145862684881,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`income`) FROM `accountFraud`,Find the minimum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,"SELECT MIN(income) AS minimum_income -FROM accountFraud;","To find the minimum income from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT MIN(income) AS minimum_income -FROM accountFraud; -```",1.6527409554,gpt-4o-mini,392,1.0184247301189118,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`income`) FROM `accountFraud`,Find the average income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,"SELECT AVG(income) AS average_income -FROM accountFraud;","To find the average income from the `accountFraud` table, you can use the following SQL code: - -```sql -SELECT AVG(income) AS average_income -FROM accountFraud; -```",1.0914921761,gpt-4o-mini,393,1.0370029968483723,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `invoicedate`) FROM `latePayment`,How many different invoicedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.455e-05,"SELECT COUNT(DISTINCT invoicedate) AS different_invoicedates -FROM latePayment;","To count the number of different `invoicedate` entries in the `latePayment` table, you would use the `COUNT` function along with the `DISTINCT` keyword in SQL. Here’s the SQL code to retrieve that information: - -```sql -SELECT COUNT(DISTINCT invoicedate) AS different_invoicedates -FROM latePayment; -```",1.1119773388,gpt-4o-mini,394,1.0050249598046552,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`,How many different disputed are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.625e-05,"SELECT COUNT(DISTINCT disputed) AS different_disputes -FROM latePayment;","To count the number of different disputes in the `latePayment` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT disputed) AS different_disputes -FROM latePayment; -```",1.1107637882,gpt-4o-mini,395,0.993394992533009,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `customerid`) FROM `latePayment`,How many different customerid are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.88e-05,"SELECT COUNT(DISTINCT customerid) AS unique_customer_count -FROM latePayment;","To obtain the number of different `customerid` values in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT customerid) AS unique_customer_count -FROM latePayment; -```",1.3001074791,gpt-4o-mini,396,1.0032874505491645,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `paperlessdate`) FROM `latePayment`,How many different paperlessdate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.135e-05,"SELECT COUNT(DISTINCT paperlessdate) AS unique_paperless_dates -FROM latePayment;","To retrieve the count of different `paperlessdate` entries in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT paperlessdate) AS unique_paperless_dates -FROM latePayment; -```",1.2268064022,gpt-4o-mini,397,1.0560987457609936,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `duedate`) FROM `latePayment`,How many different duedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.835e-05,"SELECT COUNT(DISTINCT duedate) AS different_duedates -FROM latePayment;","To obtain the count of distinct due dates from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT duedate) AS different_duedates -FROM latePayment; -```",1.9854140282,gpt-4o-mini,398,1.0052574461767865,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`daystosettle`) FROM `latePayment`,Find the maximum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.955e-05,"SELECT MAX(daystosettle) AS maximum_daystosettle -FROM latePayment;","To find the maximum value of the `daystosettle` column from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT MAX(daystosettle) AS maximum_daystosettle -FROM latePayment; -```",1.350058794,gpt-4o-mini,399,1.0314593138252137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`daystosettle`) FROM `latePayment`,Find the minimum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.715e-05,"SELECT MIN(daystosettle) AS min_daystosettle -FROM latePayment;","To fetch the minimum `daystosettle` from the `latePayment` table, you can use the following SQL code: - -```sql -SELECT MIN(daystosettle) AS min_daystosettle -FROM latePayment; -```",0.9711298943,gpt-4o-mini,400,1.0076085877158945,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`daystosettle`) FROM `latePayment`,Find the average daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.715e-05,"SELECT AVG(daystosettle) AS average_daystosettle -FROM latePayment;","To fetch the average `daystosettle` from the `latePayment` table, you can use the following SQL code: - -```sql -SELECT AVG(daystosettle) AS average_daystosettle -FROM latePayment; -```",1.1890530586,gpt-4o-mini,401,1.021683320631646,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`dayslate`) FROM `latePayment`,Find the maximum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.58e-05,"SELECT MAX(dayslate) AS max_days_late -FROM latePayment;","To find the maximum `dayslate` in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT MAX(dayslate) AS max_days_late -FROM latePayment; -```",0.7843203545,gpt-4o-mini,402,0.9923738138839373,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`dayslate`) FROM `latePayment`,Find the minimum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.5e-05,"SELECT MIN(dayslate) AS minimum_dayslate -FROM latePayment;","To fetch the minimum `dayslate` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT MIN(dayslate) AS minimum_dayslate -FROM latePayment; -``` - -This query selects the minimum value of the `dayslate` column from the `latePayment` table and returns it with an alias of `minimum_dayslate`.",1.9209251404,gpt-4o-mini,403,1.0127255805628668,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`dayslate`) FROM `latePayment`,Find the average dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.52e-05,"SELECT AVG(dayslate) AS average_dayslate -FROM latePayment;","To calculate the average `dayslate` from the `latePayment` table, you can use the following SQL code: - -```sql -SELECT AVG(dayslate) AS average_dayslate -FROM latePayment; -```",1.2678711414,gpt-4o-mini,404,1.0071217297020165,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `menopausalstatus` FROM `breastCancer`,Show the different menopausalstatus in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.125e-05,"SELECT DISTINCT menopausalstatus -FROM breastCancer;","To display the different menopausal statuses in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT DISTINCT menopausalstatus -FROM breastCancer; -``` - -This SQL code will retrieve all unique values from the `menopausalstatus` column in the `breastCancer` table.",2.703286171,gpt-4o-mini,405,1.0203260271783374,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hormonaltherapy` FROM `breastCancer`,Show the different hormonaltherapy in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.37e-05,"SELECT DISTINCT hormonaltherapy -FROM breastCancer;","To fetch the different hormonal therapies from the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT DISTINCT hormonaltherapy -FROM breastCancer; -```",0.7298192978,gpt-4o-mini,406,1.0063140280058172,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `status` FROM `breastCancer`,Show the different status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.175e-05,SELECT DISTINCT status FROM breastCancer;,"To retrieve the different statuses from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT DISTINCT status FROM breastCancer; -```",0.5649921894,gpt-4o-mini,407,1.0010024275103548,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `heartAttack`,Show the different sex in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.175e-05,SELECT DISTINCT sex FROM heartAttack;,"To fetch the different sex values from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT DISTINCT sex FROM heartAttack; -```",1.0442767143,gpt-4o-mini,408,1.0116123750531136,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `chestpaintype` FROM `heartAttack`,Show the different chestpaintype in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.685e-05,"SELECT DISTINCT chestpaintype -FROM heartAttack;","To fetch the different `chestpaintype` values from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT DISTINCT chestpaintype -FROM heartAttack; -```",0.7947494984,gpt-4o-mini,409,0.98991306429373,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `fastingbloodsugar` FROM `heartAttack`,Show the different fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.88e-05,"SELECT DISTINCT fastingbloodsugar -FROM heartAttack;","To fetch the different values of `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT DISTINCT fastingbloodsugar -FROM heartAttack; -```",0.7882819176,gpt-4o-mini,410,0.9751491398154075,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `restingelectrocardiographicrresults` FROM `heartAttack`,Show the different restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.495e-05,"SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack;","To retrieve the different values of `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack; -```",1.172753334,gpt-4o-mini,411,1.0092300477189773,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `output` FROM `heartAttack`,Show the different output in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.295e-05,SELECT DISTINCT output FROM heartAttack;,"To show the different outputs in the `heartAttack` table, you can use the following SQL code. This query will select distinct values from the `output` column of the `heartAttack` table. - -```sql -SELECT DISTINCT output FROM heartAttack; -``` - -This SQL statement retrieves all unique values in the `output` column from the `heartAttack` table, providing you with the different outputs present in that table.",2.7587912083,gpt-4o-mini,412,1.0032042607748783,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `menopausalstatus`, COUNT(*) FROM `breastCancer` GROUP BY `menopausalstatus`","For each menopausalstatus, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.845e-05,"SELECT menopausalstatus, COUNT(*) AS number_of_rows -FROM breastCancer -GROUP BY menopausalstatus;","```sql -SELECT menopausalstatus, COUNT(*) AS number_of_rows -FROM breastCancer -GROUP BY menopausalstatus; -```",0.9668722153,gpt-4o-mini,413,0.9862822277591269,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `hormonaltherapy`, COUNT(*) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.59e-05,"SELECT hormonaltherapy, COUNT(*) AS count -FROM breastCancer -GROUP BY hormonaltherapy;","To count the number of rows in the `breastCancer` table for each unique `hormonaltherapy`, you can use the `GROUP BY` clause along with the `COUNT` function. Here is the SQL code to execute this query: - -```sql -SELECT hormonaltherapy, COUNT(*) AS count -FROM breastCancer -GROUP BY hormonaltherapy; -```",1.4400310516,gpt-4o-mini,414,0.9748295350479537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `status`, COUNT(*) FROM `breastCancer` GROUP BY `status`","For each status, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.075e-05,"SELECT status, COUNT(*) AS count -FROM breastCancer -GROUP BY status;","To count the number of rows in the `breastCancer` table grouped by each status, you can use the following SQL query: - -```sql -SELECT status, COUNT(*) AS count -FROM breastCancer -GROUP BY status; -```",1.0512268543,gpt-4o-mini,415,0.9590979106999106,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.635e-05,"SELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy;","To fetch the minimum value of the `progesteronereceptor` for each `hormonaltherapy` from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy; -```",1.1771814823,gpt-4o-mini,416,1.0158449317366502,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.435e-05,"SELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy;","To fetch the maximum value of `progesteronereceptor` for each type of `hormonaltherapy` from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This query groups the results by `hormonaltherapy` and calculates the maximum `progesteronereceptor` value for each group.",1.9510960579,gpt-4o-mini,417,1.0199717506283272,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.555e-05,"SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy;","To fetch the average of the `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This query selects the `hormonaltherapy` and calculates the average of `progesteronereceptor`, grouping the results by `hormonaltherapy`.",1.7165615559,gpt-4o-mini,418,1.0004591771355413,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.515e-05,"SELECT hormonaltherapy, SUM(progesteronereceptor) AS total_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy;","To fetch the sum of `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, SUM(progesteronereceptor) AS total_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy; -```",1.2918076515,gpt-4o-mini,419,1.0197042897553854,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.09e-05,"SELECT hormonaltherapy, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy;","To fetch the minimum number of positively lymph nodes for each hormonal therapy from the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT hormonaltherapy, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This query selects each unique `hormonaltherapy`, calculates the minimum number of positively lymph nodes for those patients, and groups the results by the hormonal therapy type.",1.5946354866,gpt-4o-mini,420,1.0147427829069715,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.87e-05,"SELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy;","Here is the SQL code to fetch the maximum number of positively lymph nodes for each hormonal therapy from the `breastCancer` table: - -```sql -SELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.8887405396,gpt-4o-mini,421,1.0104399661434489,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.11e-05,"SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_number_positivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy;","To find the average number of positively lymph nodes for each hormonal therapy in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_number_positivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy; -```",1.4763293266,gpt-4o-mini,422,1.0123123676384596,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.23e-05,"SELECT hormonaltherapy, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes -FROM breastCancer -GROUP BY hormonaltherapy;","Here's the SQL code to find the sum of `numberpositivelymphnodes` for each `hormonaltherapy` in the `breastCancer` table: - -```sql -SELECT hormonaltherapy, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes -FROM breastCancer -GROUP BY hormonaltherapy; -```",3.1535248756,gpt-4o-mini,423,1.0022230813098822,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.2e-05,"SELECT status, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY status;","To fetch the minimum value of the `progesteronereceptor` for each status in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT status, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY status; -```",1.4062514305,gpt-4o-mini,424,1.0170883823508854,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.38e-05,"SELECT status, MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer -GROUP BY status;","To retrieve the maximum value of `progesteronereceptor` from the `breastCancer` table grouped by the `status` column, you can use the following SQL query: - -```sql -SELECT status, MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer -GROUP BY status; -```",1.6593332291,gpt-4o-mini,425,0.9919288645120633,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.16e-05,"SELECT status, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY status;","```sql -SELECT status, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY status; -```",0.8838732243,gpt-4o-mini,426,1.051480735484474,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.72e-05,"SELECT status, SUM(progesteronereceptor) AS total_progesteronereceptor -FROM breastCancer -GROUP BY status;","To find the sum of the `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT status, SUM(progesteronereceptor) AS total_progesteronereceptor -FROM breastCancer -GROUP BY status; -``` - -This query selects the `status` along with the total sum of `progesteronereceptor` for each unique status in the `breastCancer` table, grouping the results by `status`.",2.8886885643,gpt-4o-mini,427,0.9994872236851681,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.855e-05,"SELECT status, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM breastCancer -GROUP BY status;","To retrieve the minimum number of positively lymph nodes for each status in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT status, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM breastCancer -GROUP BY status; -```",2.0996088982,gpt-4o-mini,428,1.0052424925359513,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.115e-05,"SELECT status, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM breastCancer -GROUP BY status; -```",0.6128275394,gpt-4o-mini,429,1.055580598237289,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.855e-05,"SELECT status, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY status;","To retrieve the average number of positively lymph nodes for each status from the `breastCancer` table, you would use the following SQL query: - -```sql -SELECT status, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY status; -```",2.8072199821,gpt-4o-mini,430,1.002904192573456,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.115e-05,"SELECT status, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes -FROM breastCancer -GROUP BY status;","```sql -SELECT status, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes -FROM breastCancer -GROUP BY status; -```",1.6577670574,gpt-4o-mini,431,0.9996461351210667,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `sex`, COUNT(*) FROM `heartAttack` GROUP BY `sex`","For each sex, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.575e-05,"SELECT sex, COUNT(*) AS count -FROM heartAttack -GROUP BY sex;","To count the number of rows in the `heartAttack` table grouped by sex, you can use the following SQL code: - -```sql -SELECT sex, COUNT(*) AS count -FROM heartAttack -GROUP BY sex; -``` - -This query will return the count of rows for each unique value in the `sex` column of the `heartAttack` table.",2.2464547157,gpt-4o-mini,432,1.0067362278233667,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `chestpaintype`, COUNT(*) FROM `heartAttack` GROUP BY `chestpaintype`","For each chestpaintype, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.465e-05,"SELECT chestpaintype, COUNT(*) AS count -FROM heartAttack -GROUP BY chestpaintype;","To count the number of rows in the `heartAttack` table for each `chestpaintype`, you can use the following SQL code: - -```sql -SELECT chestpaintype, COUNT(*) AS count -FROM heartAttack -GROUP BY chestpaintype; -```",1.5426023006,gpt-4o-mini,433,1.0096184348266144,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `fastingbloodsugar`, COUNT(*) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.18e-05,"SELECT fastingbloodsugar, COUNT(*) AS count -FROM heartAttack -GROUP BY fastingbloodsugar;","To count the number of rows in the `heartAttack` table for each unique value of `fastingbloodsugar`, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, COUNT(*) AS count -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This SQL code selects the `fastingbloodsugar` column and counts the number of occurrences of each unique value, grouping the results by the `fastingbloodsugar` field.",3.8259484768,gpt-4o-mini,434,0.9943591318681989,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `restingelectrocardiographicrresults`, COUNT(*) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.795e-05,"SELECT restingelectrocardiographicrresults, COUNT(*) AS count -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To count the number of rows in the `heartAttack` table for each unique value of `restingelectrocardiographicrresults`, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, COUNT(*) AS count -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This SQL code selects the `restingelectrocardiographicrresults` column and counts the number of occurrences for each unique value, grouping the results accordingly.",6.0259017944,gpt-4o-mini,435,0.9972050472468887,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `output`, COUNT(*) FROM `heartAttack` GROUP BY `output`","For each output, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.095e-05,SELECT COUNT(*) AS total_rows FROM heartAttack;,"To count the number of rows in the table `heartAttack`, you can use the following SQL query: - -```sql -SELECT COUNT(*) AS total_rows FROM heartAttack; -``` - -This SQL code will return a single row containing the count of all rows in the `heartAttack` table under the alias `total_rows`.",1.2595031261,gpt-4o-mini,436,0.0,0.0,0.0,0.0,0.5,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.815e-05,"SELECT restingelectrocardiographicrresults, MIN(age) AS min_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To fetch the minimum age for each distinct `restingelectrocardiographicrresults` value from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, MIN(age) AS min_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",1.5247859955,gpt-4o-mini,437,1.0125370122592647,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.495e-05,"SELECT restingelectrocardiographicrresults, MAX(age) AS max_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To retrieve the maximum age for each `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, MAX(age) AS max_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This SQL code groups the results by the `restingelectrocardiographicrresults` field and calculates the maximum age for each group.",1.9840352535,gpt-4o-mini,438,1.0090481084318603,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.435e-05,"SELECT restingelectrocardiographicrresults, AVG(age) AS avg_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To fetch the average age for each unique `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, AVG(age) AS avg_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This query will group the records by `restingelectrocardiographicrresults` and calculate the average age for each group.",1.8355126381,gpt-4o-mini,439,0.9958031115772131,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00010755,"SELECT restingelectrocardiographicrresults, SUM(age) AS total_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To answer the question about finding the sum of age for each `restingelectrocardiographicrresults` in the `heartAttack` table, the SQL query would look like this: - -```sql -SELECT restingelectrocardiographicrresults, SUM(age) AS total_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This SQL code selects the `restingelectrocardiographicrresults` and calculates the sum of the `age` column, grouping the results by the `restingelectrocardiographicrresults` values.",2.2672719955,gpt-4o-mini,440,1.0487687110643669,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.31e-05,"SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_number_of_major_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To fetch the minimum number of major vessels for each unique resting electrocardiographic result in the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_number_of_major_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",3.2510480881,gpt-4o-mini,441,1.0020310667472112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.87e-05,"SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) AS max_number_of_major_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To answer the question, we need to write an SQL query that retrieves the maximum value of `numberofmajorvvessels` for each distinct value of `restingelectrocardiographicrresults` from the `heartAttack` table. - -Here is the SQL code to achieve this: - -```sql -SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) AS max_number_of_major_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",2.623942852,gpt-4o-mini,442,1.007849310372885,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001053,"SELECT restingelectrocardiographicrresults, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To find the average number of major vessels for each resting electrocardiographic result in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This SQL code groups the records by the `restingelectrocardiographicrresults` field and calculates the average of `numberofmajorvvessels` for each group.",2.3276650906,gpt-4o-mini,443,1.028192661842216,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001101,"SELECT restingelectrocardiographicrresults, - SUM(numberofmajorvvessels) AS total_major_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","To fetch the sum of `numberofmajorvvessels` for each unique `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, - SUM(numberofmajorvvessels) AS total_major_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This query groups the results by `restingelectrocardiographicrresults` and calculates the sum of `numberofmajorvvessels` for each group.",2.6261553764,gpt-4o-mini,444,1.0064344874629108,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.78e-05,"SELECT fastingbloodsugar, MIN(age) AS min_age -FROM heartAttack -GROUP BY fastingbloodsugar;","To find the minimum age for each `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, MIN(age) AS min_age -FROM heartAttack -GROUP BY fastingbloodsugar; -```",2.018474102,gpt-4o-mini,445,1.0245232118278176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.48e-05,"SELECT fastingbloodsugar, MAX(age) AS max_age -FROM heartAttack -GROUP BY fastingbloodsugar;","To answer the question of finding the maximum age grouped by `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, MAX(age) AS max_age -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This SQL code selects the `fastingbloodsugar` and the maximum age (`max_age`) for each group of `fastingbloodsugar` values from the `heartAttack` table.",1.963593483,gpt-4o-mini,446,0.9997731699110358,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.48e-05,"SELECT fastingbloodsugar, AVG(age) AS average_age -FROM heartAttack -GROUP BY fastingbloodsugar;","Here is the SQL code to fetch the average age for each unique value of fastingbloodsugar from the heartAttack table: - -```sql -SELECT fastingbloodsugar, AVG(age) AS average_age -FROM heartAttack -GROUP BY fastingbloodsugar; -```",1.2396168709,gpt-4o-mini,447,0.9993481410911421,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.92e-05,"SELECT fastingbloodsugar, SUM(age) AS total_age -FROM heartAttack -GROUP BY fastingbloodsugar;","To write an SQL query that finds the sum of age for each unique value of fastingbloodsugar in the `heartAttack` table, you would use the `GROUP BY` clause along with `SUM()`. Here is the SQL code: - -```sql -SELECT fastingbloodsugar, SUM(age) AS total_age -FROM heartAttack -GROUP BY fastingbloodsugar; -```",1.5464203358,gpt-4o-mini,448,1.0061030348771938,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.735e-05,"SELECT fastingbloodsugar, MIN(numberofmajorvvessels) AS min_number_of_major_vessels -FROM heartAttack -GROUP BY fastingbloodsugar;","To fetch the minimum number of major vessels for each unique fasting blood sugar from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, MIN(numberofmajorvvessels) AS min_number_of_major_vessels -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This query selects the `fastingbloodsugar` and the minimum value of `numberofmajorvvessels`, grouping the results by each unique `fastingbloodsugar`.",2.2492408752,gpt-4o-mini,449,1.0267860342171033,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.735e-05,"SELECT fastingbloodsugar, MAX(numberofmajorvvessels) AS max_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar;","To find the maximum value of `numberofmajorvvessels` for each distinct `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, MAX(numberofmajorvvessels) AS max_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This code groups the records by the `fastingbloodsugar` field and computes the maximum number of major vessels for each group.",1.5174000263,gpt-4o-mini,450,1.0090931143947997,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00010395,"SELECT fastingbloodsugar, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar;","To find the average of `numberofmajorvvessels` for each `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This query selects the `fastingbloodsugar` column and calculates the average of `numberofmajorvvessels`, grouping the results by each unique `fastingbloodsugar` value.",2.0460944176,gpt-4o-mini,451,1.0062142288250235,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.775e-05,"SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_major_vessels -FROM heartAttack -GROUP BY fastingbloodsugar;","To fetch the sum of `numberofmajorvvessels` for each `fastingbloodsugar` in the `heartAttack` table, you can use the SQL `GROUP BY` clause along with the `SUM()` function. Here is the SQL code: - -```sql -SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_major_vessels -FROM heartAttack -GROUP BY fastingbloodsugar; -```",1.4978675842,gpt-4o-mini,452,1.0378733131016902,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) >= 12,Find all the menopausalstatus that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.855e-05,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12;","Here is the SQL code to find all the `menopausalstatus` entries in the `breastCancer` table that have at least 12 records: - -```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12; -```",1.4707102776,gpt-4o-mini,453,1.0111189279564414,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) <= 12,Find all the menopausalstatus that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.795e-05,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12;","To find all the `menopausalstatus` values that have at most 12 records in the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12; -``` - -This SQL query groups the records in the `breastCancer` table by `menopausalstatus` and then filters those groups to include only those with a count of records that is less than or equal to 12.",2.038397789,gpt-4o-mini,454,0.9971216533372929,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) >= 12,Find all the hormonaltherapy that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.64e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) >= 12;","To fetch all the hormonal therapies that have at least 12 records in the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) >= 12; -``` - -This SQL query groups the records by `hormonaltherapy`, counts the occurrences for each therapy, and filters those that have a count of at least 12.",1.5599708557,gpt-4o-mini,455,1.0429542737522188,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) <= 12,Find all the hormonaltherapy that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.42e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12;","To find all the hormonal therapies that have at most 12 records in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12; -``` - -This query selects the `hormonaltherapy` column from the `breastCancer` table, groups the results by the `hormonaltherapy`, and filters the groups to return only those with 12 or fewer records.",1.9592232704,gpt-4o-mini,456,1.030143962055582,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) >= 12,Find all the status that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.925e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) >= 12;","To find all the statuses that have at least 12 records in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) >= 12; -``` - -This query groups the records in the `breastCancer` table by the `status` field and filters the results to include only those statuses having a count of records greater than or equal to 12.",1.4125695229,gpt-4o-mini,457,1.0052403689189473,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) <= 12,Find all the status that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.225e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) <= 12;","Here is the SQL code to find all the statuses that have at most 12 records in the `breastCancer` table: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) <= 12; -```",0.9252328873,gpt-4o-mini,458,0.994882394606473,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) >= 30.14,List the hormonaltherapy which average of tumorsize is at least 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.32e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14;","To retrieve the hormonal therapy types where the average tumor size is at least 30.14 from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14; -```",1.8215353489,gpt-4o-mini,459,0.9977163993676222,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) <= 30.14,List the hormonaltherapy which average of tumorsize is at most 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.14e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) <= 30.14;","Here is the SQL code to list the hormonal therapy for which the average tumor size is at most 30.14 in the `breastCancer` table: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) <= 30.14; -```",1.9157767296,gpt-4o-mini,460,1.0118381926749558,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) >= 389.5,List the hormonaltherapy which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00010635,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5;","To retrieve the hormonal therapy types from the `breastCancer` table where the summation of tumor sizes is at least 389.5, you can use the following SQL code: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5; -``` - -This query groups the data by `hormonaltherapy`, sums the `tumorsize` for each group, and filters the results to include only those groups where the sum of `tumorsize` is greater than or equal to 389.5.",1.6979365349,gpt-4o-mini,461,1.0265979421952547,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) <= 389.5,List the hormonaltherapy which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.395e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) <= 389.5;","To fetch the hormonal therapy options where the summed tumor sizes are at most 389.5 from the `breastCancer` table, the SQL query can be written as follows: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) <= 389.5; -```",1.2699086666,gpt-4o-mini,462,1.0091503031715745,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) >= 53.95,List the hormonaltherapy which average of age is at least 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.765e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95;","To fetch the hormonal therapy from the `breastCancer` table where the average age is at least 53.95, you can use the following SQL code: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95; -``` - -This query selects the `hormonaltherapy` and groups the results by `hormonaltherapy`, while using the `HAVING` clause to filter for groups with an average age of 53.95 or higher.",1.7032699585,gpt-4o-mini,463,0.9996539398973637,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) <= 53.95,List the hormonaltherapy which average of age is at most 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.185e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95;","To fetch the hormonal therapy entries from the `breastCancer` table where the average age of patients is at most 53.95, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95; -```",1.2678520679,gpt-4o-mini,464,1.0258461560876115,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) >= 640.5,List the hormonaltherapy which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001008,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5;","To fetch the hormonal therapies from the `breastCancer` table where the summation of ages is at least 640.5, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5; -``` - -This SQL code selects the `hormonaltherapy` column from the `breastCancer` table, groups the results by `hormonaltherapy`, and only includes those groups where the total age is at least 640.5.",1.6496551037,gpt-4o-mini,465,0.9999841103069985,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) <= 640.5,List the hormonaltherapy which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.96e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) <= 640.5;","To list the `hormonaltherapy` from the `breastCancer` table where the summation of `age` is at most 640.5, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) <= 640.5; -``` - -This code groups the results by `hormonaltherapy`, calculates the total `age` for each group, and filters the groups where the total `age` does not exceed 640.5.",1.52602911,gpt-4o-mini,466,1.0042878414773695,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) >= 34.41,List the status which average of tumorsize is at least 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.065e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) >= 34.41;","To list the statuses where the average tumor size is at least 34.41 in the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) >= 34.41; -```",2.3693802357,gpt-4o-mini,467,0.9788299646918873,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) <= 34.41,List the status which average of tumorsize is at most 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.805e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41;","To retrieve the statuses from the `breastCancer` table where the average tumor size is at most 34.41, you would use an SQL query that groups by the `status` field and filters based on the average calculated for the `tumorsize`. Here is the SQL code to achieve that: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41; -```",2.0014731884,gpt-4o-mini,468,1.0228677254574816,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) >= 389.5,List the status which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.38e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5;","To fetch the statuses from the `breastCancer` table where the summation of `tumorsize` is at least 389.5, you can use the following SQL code: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5; -```",1.1694743633,gpt-4o-mini,469,0.9911969225221164,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) <= 389.5,List the status which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.2e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5;","To fetch the statuses where the summation of tumor sizes is at most 389.5 from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5; -```",1.45764184,gpt-4o-mini,470,1.0425366970960492,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) >= 53.44,List the status which average of age is at least 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.19e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44;","To answer the question, we need to calculate the average age grouped by the `status` in the `breastCancer` table, and then filter to include only those statuses where the average age is at least 53.44. Here's the SQL code to achieve that: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44; -```",1.1553103924,gpt-4o-mini,471,1.0106143310989897,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) <= 53.44,List the status which average of age is at most 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.81e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44;","To list the statuses from the `breastCancer` table where the average age is at most 53.44, you can use the following SQL query: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44; -```",0.9678826332,gpt-4o-mini,472,0.9929777937291226,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) >= 640.5,List the status which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.945e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5;","To list the statuses where the summation of age is at least 640.5 in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5; -```",1.4525818825,gpt-4o-mini,473,1.0085570471280632,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) <= 640.5,List the status which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.825e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) <= 640.5;","Here is the SQL code to list the statuses for which the summation of age is at most 640.5 in the `breastCancer` table: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) <= 640.5; -```",0.942029953,gpt-4o-mini,474,1.0191045873115785,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) >= 10,Find all the output that have at least 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.265e-05,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10;","To find all the outputs that have at least 10 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10; -``` - -This query groups the records by the `output` field and then filters those groups to return only those that have a count of 10 or more records.",1.0868370533,gpt-4o-mini,475,1.0018574575242691,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) <= 10,Find all the output that have at most 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.085e-05,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) <= 10;","To find all the `output` values that have at most 10 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) <= 10; -``` - -This SQL code groups the `output` values and filters those groups to include only those that have 10 or fewer records.",1.33330369,gpt-4o-mini,476,0.9868142135372521,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) >= 5,Find all the chestpaintype that have at least 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.075e-05,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5;","To find all `chestpaintype` values that have at least 5 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5; -``` - -This query groups the records by `chestpaintype` and then filters the groups by counting the number of records, returning only those groups with 5 or more records.",2.8577215672,gpt-4o-mini,477,0.9757928309553199,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) <= 5,Find all the chestpaintype that have at most 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.075e-05,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5;","To find all the `chestpaintype` that have at most 5 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5; -``` - -This query selects the `chestpaintype`, groups the results by `chestpaintype`, and filters the groups to include only those with 5 or fewer records.",1.291757822,gpt-4o-mini,478,1.01045838239071,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) >= 6,Find all the restingelectrocardiographicrresults that have at least 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00010785,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6;","To find all the `restingelectrocardiographicrresults` that have at least 6 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6; -``` - -This SQL code selects the `restingelectrocardiographicrresults` field from the `heartAttack` table, groups the results by that field, and then filters the groups with a count of at least 6 records.",2.6533005238,gpt-4o-mini,479,1.040529895721614,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) <= 6,Find all the restingelectrocardiographicrresults that have at most 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00010785,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6;","To find all the distinct `restingelectrocardiographicrresults` that have at most 6 records in the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6; -``` - -This query selects the `restingelectrocardiographicrresults`, groups the results by the `restingelectrocardiographicrresults` column, and only includes those groups that have 6 or fewer records.",2.2578659058,gpt-4o-mini,480,1.006987879659308,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) >= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at least 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.105e-05,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(restingbloodpressure) >= 145.75;","To answer the question, we will write an SQL query that calculates the average of the `restingbloodpressure` for each `fastingbloodsugar` and then filters the results to only include those where the average resting blood pressure is at least 145.75. Here's the SQL code: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(restingbloodpressure) >= 145.75; -```",1.7772014141,gpt-4o-mini,481,1.0033367996410787,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) <= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at most 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00018285,"SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT AVG(restingbloodpressure) FROM heartAttack) <= 145.75;","To answer the question, you need to calculate the average of the `restingbloodpressure` from the `heartAttack` table and filter for entries where this average is at most 145.75. Then, select the corresponding `fastingbloodsugar` values. Below is the SQL code to achieve this: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 145.75; -``` - -However, if you're looking to ensure that you get all records where the average resting blood pressure across all records is used to filter the results, you need a little more logic. But based on your question, the above query directly gives you the `fastingbloodsugar` where the `restingbloodpressure` is at most 145.75. - -If you're looking for an average condition (as suggested), you could do it in a slightly modified way: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT AVG(restingbloodpressure) FROM heartAttack) <= 145.75; -``` - -This version will retrieve `fastingbloodsugar` entries based on whether the average of `restingbloodpressure` across all records meets the value you specified.",4.975287199,gpt-4o-mini,482,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.755e-05,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5;","Here is the SQL code to retrieve the fasting blood sugar values where the summation of resting blood pressure is at least 1343.5 in the `heartAttack` table: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5; -```",1.3381388187,gpt-4o-mini,483,1.00816396053582,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.475e-05,"SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT SUM(restingbloodpressure) FROM heartAttack) <= 1343.5;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT SUM(restingbloodpressure) FROM heartAttack) <= 1343.5; -```",0.8118913174,gpt-4o-mini,484,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) >= 59.17,List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00011115,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) >= 59.17;","To translate the question into SQL code, we need to calculate the average age from the `heartAttack` table and filter the results to get the `fastingbloodsugar` values for those records where the average age is at least 59.17. - -Here's the SQL code that accomplishes this: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) >= 59.17; -``` - -This query will return the `fastingbloodsugar` entries from the `heartAttack` table where the average age across those entries is at least 59.17.",2.4149141312,gpt-4o-mini,485,1.0441729886054005,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) <= 59.17,List the fastingbloodsugar which average of age is at most 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00014715,"SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT AVG(age) FROM heartAttack) <= 59.17;","To fetch the fasting blood sugar values where the average age is at most 59.17 from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= 59.17; -``` - -However, if you want to calculate the average age of the entire table and then check if it's at most 59.17 before fetching the fasting blood sugar values, you can do it like this: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT AVG(age) FROM heartAttack) <= 59.17; -``` - -Please ensure to choose one of the queries based on the specific requirement. If the question intended to get the fasting blood sugar values of individuals below or at the average age, the first query is the most appropriate. The second query checks if the average age meets the condition before retrieving the fasting blood sugar values.",2.986628294,gpt-4o-mini,486,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) >= 561.0,List the fastingbloodsugar which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.87e-05,"SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT SUM(age) FROM heartAttack) >= 561.0;","To fetch the fasting blood sugar values from the `heartAttack` table where the summation of ages is at least 561.0, you can use the following SQL code: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE (SELECT SUM(age) FROM heartAttack) >= 561.0; -``` - -This code selects the `fastingbloodsugar` column from the `heartAttack` table, while ensuring that the total sum of all ages in the same table is at least 561.0.",3.5467066765,gpt-4o-mini,487,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) <= 561.0,List the fastingbloodsugar which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001149,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) <= 561.0;","To retrieve the fasting blood sugar values from the `heartAttack` table where the summation of age is at most 561, you can use the following SQL code: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) <= 561.0; -``` - -This query selects the `fastingbloodsugar` column, groups the results, and applies a condition to filter groups where the summation of `age` is less than or equal to 561. Note that the `GROUP BY` clause is there to ensure that we are summing the ages for each unique fasting blood sugar value.",2.3316128254,gpt-4o-mini,488,1.0311949061297407,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) >= 131.31,List the sex which average of restingbloodpressure is at least 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.7e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31;","Here is the SQL code to answer the question: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31; -```",0.9653422832,gpt-4o-mini,489,1.008617052950646,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) <= 131.31,List the sex which average of restingbloodpressure is at most 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.1e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31; -```",0.9406690598,gpt-4o-mini,490,0.9898851818137383,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the sex which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001035,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5;","To fetch the sex where the summation of resting blood pressure is at least 1343.5 from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5; -``` - -This query selects the `sex` from the `heartAttack` table, groups the results by `sex`, and filters those groups to include only those where the sum of `restingbloodpressure` is at least 1343.5.",3.2073836327,gpt-4o-mini,491,1.0162786185329866,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.79e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5;","Here is the SQL code to answer the question: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5; -```",0.8502397537,gpt-4o-mini,492,1.002809001509828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) >= 58.78,List the sex which average of age is at least 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.55e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78;","Here is the SQL code to fetch the required information: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78; -```",0.8512985706,gpt-4o-mini,493,0.99624518725914,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) <= 58.78,List the sex which average of age is at most 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.75e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78;","To fetch the sexes from the `heartAttack` table where the average age is at most 58.78, you can use the following SQL code: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78; -```",1.7806539536,gpt-4o-mini,494,1.0225056743809064,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) >= 561.0,List the sex which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.225e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0;","To answer the question of listing the sex where the summation of age is at least 561.0 in the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0; -``` - -This query groups the records by `sex`, calculates the total age for each group, and filters out those groups where the total age is less than 561.0.",2.2062246799,gpt-4o-mini,495,1.0128446736320695,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) <= 561.0,List the sex which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.005e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0;","To retrieve the unique sex values from the `heartAttack` table where the summation of age is at most 561.0, you can use the following SQL query: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0; -```",2.3438456059,gpt-4o-mini,496,0.9940105482422329,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `hormonaltherapy`) = (SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`),What are the menopausalstatus with all the hormonaltherapy in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.985e-05,"SELECT menopausalstatus, hormonaltherapy -FROM breastCancer;","To fetch the menopausal status along with all the hormonal therapies from the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT menopausalstatus, hormonaltherapy -FROM breastCancer; -```",0.8941442966,gpt-4o-mini,497,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the menopausalstatus with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.69e-05,"SELECT DISTINCT menopausalstatus -FROM breastCancer;","To fetch the distinct menopausal statuses from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT DISTINCT menopausalstatus -FROM breastCancer; -``` - -This query retrieves all unique menopausal statuses present in the `breastCancer` table.",1.1357622147,gpt-4o-mini,498,0.9512008725291893,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the hormonaltherapy with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.715e-05,"SELECT hormonaltherapy, status -FROM breastCancer;","To fetch the hormonal therapy along with all the statuses from the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT hormonaltherapy, status -FROM breastCancer; -```",0.9489123821,gpt-4o-mini,499,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `chestpaintype`) = (SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`),What are the sex with all the chestpaintype in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.53e-05,"SELECT DISTINCT sex, chestpaintype -FROM heartAttack;","To fetch the distinct combinations of sex and chest paint type from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT DISTINCT sex, chestpaintype -FROM heartAttack; -``` - -This query will return all unique pairs of `sex` and `chestpaintype` present in the `heartAttack` table.",1.5974786282,gpt-4o-mini,500,0.0,0.167,1.0,0.0,0.143,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the sex with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.925e-05,"SELECT sex, fastingbloodsugar -FROM heartAttack;","To retrieve the sex associated with all the fasting blood sugar values from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT sex, fastingbloodsugar -FROM heartAttack; -```",0.9272828102,gpt-4o-mini,501,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the sex with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001542,"SELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output -FROM heartAttack;","To fetch the `sex` along with all other columns from the `restingelectrocardiographicrresults` in the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT sex, restingelectrocardiographicrresults -FROM heartAttack; -``` - -This query will return the `sex` and `restingelectrocardiographicrresults` for all records in the `heartAttack` table, as per your requirements. If you need more columns from the `heartAttack` table along with `sex`, you can list them as needed in the `SELECT` statement. For example: - -```sql -SELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output -FROM heartAttack; -``` - -This would return every column from the `heartAttack` table along with `sex`.",5.0967378616,gpt-4o-mini,502,0.0,0.016,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the sex with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.22e-05,SELECT DISTINCT sex FROM heartAttack;,"To retrieve the distinct sexes present in the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT DISTINCT sex FROM heartAttack; -```",1.9172651768,gpt-4o-mini,503,0.9628504570500976,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the chestpaintype with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.135e-05,"SELECT chestpaintype, fastingbloodsugar -FROM heartAttack;","To fetch the chest paint types along with all the fasting blood sugars from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT chestpaintype, fastingbloodsugar -FROM heartAttack; -```",1.1066551208,gpt-4o-mini,504,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the chestpaintype with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.05e-05,SELECT DISTINCT chestpaintype FROM heartAttack;,"To fetch all distinct `chestpaintype` values from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT DISTINCT chestpaintype FROM heartAttack; -``` - -This SQL code will retrieve all unique `chestpaintype` entries within the `heartAttack` table.",1.5847258568,gpt-4o-mini,505,0.0,0.75,1.0,0.0,0.75,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the fastingbloodsugar with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.205e-05,"SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack;","To fetch the `fastingbloodsugar` along with all the `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack; -``` - -This will retrieve the specified columns from the `heartAttack` table.",1.0954670906,gpt-4o-mini,506,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the fastingbloodsugar with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.505e-05,"SELECT fastingbloodsugar, * -FROM heartAttack;","To fetch the `fastingbloodsugar` values along with all output columns from the table `heartAttack`, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, * -FROM heartAttack; -``` - -This query selects the `fastingbloodsugar` column and all other columns in the `heartAttack` table. The `*` symbol is used to specify that all columns should be returned.",2.5288288593,gpt-4o-mini,507,0.0,0.032,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the restingelectrocardiographicrresults with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.24e-05,SELECT restingelectrocardiographicrresults FROM heartAttack;,"To fetch the `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults FROM heartAttack; -```",1.3790590763,gpt-4o-mini,508,0.0,0.667,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` ASC,Show all data ordered by hormonaltherapy in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.045e-05,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC;","Here is the SQL code to fetch all data from the `breastCancer` table, ordered by `hormonaltherapy` in ascending order: - -```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC; -```",1.0175685883,gpt-4o-mini,509,1.0349804209301554,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` DESC,Show all data ordered by hormonaltherapy in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.245e-05,"SELECT * FROM breastCancer -ORDER BY hormonaltherapy DESC;","```sql -SELECT * FROM breastCancer -ORDER BY hormonaltherapy DESC; -```",0.4606761932,gpt-4o-mini,510,0.9997037533150521,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` ASC,Show all data ordered by status in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.11e-05,SELECT * FROM breastCancer ORDER BY status ASC;,"```sql -SELECT * FROM breastCancer ORDER BY status ASC; -```",0.4589841366,gpt-4o-mini,511,1.011267335908455,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` DESC,Show all data ordered by status in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.23e-05,"SELECT * -FROM breastCancer -ORDER BY status DESC;","```sql -SELECT * -FROM breastCancer -ORDER BY status DESC; -```",0.9651808739,gpt-4o-mini,512,1.0265908263114607,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` ASC,Project the tumorgrade ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.955e-05,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC;","Here is the SQL code to project the `tumorgrade` from the `breastCancer` table, ordered in ascending order: - -```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC; -```",1.1364901066,gpt-4o-mini,513,0.9975377475499309,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` DESC,Project the tumorgrade ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.015e-05,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC;","To retrieve the tumor grades from the `breastCancer` table and order them in descending order, you can use the following SQL code: - -```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC; -```",1.6545317173,gpt-4o-mini,514,1.044324675024675,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` ASC,Project the patientidentifier ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.015e-05,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC;","To project the `patientidentifier` from the `breastCancer` table ordered in ascending order, you would use the following SQL code: - -```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC; -```",1.0324344635,gpt-4o-mini,515,0.9796171312742725,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` DESC,Project the patientidentifier ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.835e-05,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC;","Here's the SQL code to project the `patientidentifier` from the `breastCancer` table, ordered in descending order: - -```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC; -```",1.7278280258,gpt-4o-mini,516,0.987983996048531,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` ASC,Show all data ordered by numberofmajorvvessels in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.545e-05,"SELECT * FROM heartAttack -ORDER BY numberofmajorvvessels ASC;","```sql -SELECT * FROM heartAttack -ORDER BY numberofmajorvvessels ASC; -```",0.5117120743,gpt-4o-mini,517,1.0173844377005932,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` DESC,Show all data ordered by numberofmajorvvessels in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.285e-05,"SELECT * FROM heartAttack -ORDER BY numberofmajorvvessels DESC;","Here's the SQL code to fetch all data from the `heartAttack` table ordered by `numberofmajorvvessels` in descending order: - -```sql -SELECT * FROM heartAttack -ORDER BY numberofmajorvvessels DESC; -```",0.8891673088,gpt-4o-mini,518,1.0492611667832994,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` ASC,Show all data ordered by restingbloodpressure in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6e-05,"SELECT * FROM heartAttack -ORDER BY restingbloodpressure ASC;","Here is the SQL code to show all data from the `heartAttack` table ordered by `restingbloodpressure` in ascending order: - -```sql -SELECT * FROM heartAttack -ORDER BY restingbloodpressure ASC; -```",2.0005874634,gpt-4o-mini,519,1.0585694312518277,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` DESC,Show all data ordered by restingbloodpressure in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.32e-05,"SELECT * FROM heartAttack -ORDER BY restingbloodpressure DESC;","```sql -SELECT * FROM heartAttack -ORDER BY restingbloodpressure DESC; -```",0.6935861111,gpt-4o-mini,520,0.9702105416819217,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` ASC,Project the restingelectrocardiographicrresults ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.14e-05,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC;","Here is the SQL code to project the `restingelectrocardiographicrresults` ordered in ascending order from the `heartAttack` table: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC; -```",1.5948340893,gpt-4o-mini,521,1.0037689332276931,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` DESC,Project the restingelectrocardiographicrresults ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.32e-05,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC;","To fetch the `restingelectrocardiographicrresults` ordered in descending order from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC; -```",0.9496290684,gpt-4o-mini,522,1.0361143987900499,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` ASC,Project the sex ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.08e-05,SELECT sex FROM heartAttack ORDER BY sex ASC;,"```sql -SELECT sex FROM heartAttack ORDER BY sex ASC; -```",1.8974297047,gpt-4o-mini,523,1.02016746945865,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` DESC,Project the sex ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.2e-05,"SELECT sex -FROM heartAttack -ORDER BY sex DESC;","```sql -SELECT sex -FROM heartAttack -ORDER BY sex DESC; -```",0.6159226894,gpt-4o-mini,524,0.9995455222316242,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `age` FROM `breastCancer`,Show all age in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.04e-05,SELECT age FROM breastCancer;,"To fetch all ages from the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT age FROM breastCancer; -```",3.7587149143,gpt-4o-mini,525,0.9547069359030573,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `progesteronereceptor` FROM `breastCancer`,Show all progesteronereceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.865e-05,SELECT progesteronereceptor FROM breastCancer;,"To show all values of the `progesteronereceptor` column from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT progesteronereceptor FROM breastCancer; -```",1.1712114811,gpt-4o-mini,526,1.0085955707200809,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `estrogenreceptor` FROM `breastCancer`,Show all estrogenreceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",3.93e-05,SELECT estrogenreceptor FROM breastCancer;,"```sql -SELECT estrogenreceptor FROM breastCancer; -```",0.5673725605,gpt-4o-mini,527,1.0195858699205826,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",3.78e-05,SELECT status FROM breastCancer;,"```sql -SELECT status FROM breastCancer; -```",0.4973316193,gpt-4o-mini,528,0.9786297246840715,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `patientidentifier` FROM `breastCancer`,Show all patientidentifier in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",3.855e-05,SELECT patientidentifier FROM breastCancer;,"```sql -SELECT patientidentifier FROM breastCancer; -```",0.610350132,gpt-4o-mini,529,0.9992944330408742,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-ALL,SELECT * FROM `breastCancer`,Show all the rows in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",3.795e-05,SELECT * FROM breastCancer;,"```sql -SELECT * FROM breastCancer; -```",0.4377782345,gpt-4o-mini,530,1.0516626444790815,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.98e-05,SELECT status FROM breastCancer;,"To fetch all the status from the `breastCancer` table, the SQL code would be: - -```sql -SELECT status FROM breastCancer; -```",0.8005793095,gpt-4o-mini,531,0.971130054438487,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `tumorgrade` FROM `breastCancer`","Show all estrogenreceptor, tumorgrade in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.955e-05,"SELECT estrogenreceptor, tumorgrade FROM breastCancer;","Certainly! Here's the SQL code to fetch all `estrogenreceptor` and `tumorgrade` from the `breastCancer` table: - -```sql -SELECT estrogenreceptor, tumorgrade FROM breastCancer; -```",0.9794874191,gpt-4o-mini,532,1.0384830887547887,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `hormonaltherapy`, `patientidentifier`, `numberpositivelymphnodes` FROM `breastCancer`","Show all hormonaltherapy, patientidentifier, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.91e-05,"SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer;","To fetch the requested information from the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer; -```",1.0617756844,gpt-4o-mini,533,1.0082692214771123,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, `age` FROM `breastCancer`","Show all numberpositivelymphnodes, patientidentifier, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.48e-05,"SELECT - numberpositivelymphnodes, - patientidentifier, - tumorgrade, - age -FROM - breastCancer;","Here is the SQL code to fetch the specified information from the `breastCancer` table: - -```sql -SELECT - numberpositivelymphnodes, - patientidentifier, - tumorgrade, - age -FROM - breastCancer; -```",3.5480365753,gpt-4o-mini,534,0.9974666693524761,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, `age` FROM `breastCancer`","Show all estrogenreceptor, status, menopausalstatus, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.955e-05,"SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age -FROM breastCancer;","Here is the SQL code to fetch the specified columns from the `breastCancer` table: - -```sql -SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age -FROM breastCancer; -```",0.9077732563,gpt-4o-mini,535,0.97203435707692,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `patientidentifier`, `hormonaltherapy`, `status`, `age`, `menopausalstatus`, `tumorsize` FROM `breastCancer`","Show all patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.105e-05,"SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer;","Here is the SQL code to fetch the specified columns from the `breastCancer` table: - -```sql -SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer; -```",1.1355452538,gpt-4o-mini,536,1.007866879053332,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age` FROM `breastCancer`","Show all tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.64e-05,"SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age -FROM breastCancer;","```sql -SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age -FROM breastCancer; -```",1.020714283,gpt-4o-mini,537,1.0174815477451895,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, `hormonaltherapy` FROM `breastCancer`","Show all tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.565e-05,"SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy -FROM breastCancer;","```sql -SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy -FROM breastCancer; -```",1.25365448,gpt-4o-mini,538,0.9998667208735519,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorsize`, `hormonaltherapy`, `age`, `status`, `tumorgrade`, `menopausalstatus`, `progesteronereceptor`, `estrogenreceptor`, `numberpositivelymphnodes` FROM `breastCancer`","Show all tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.23e-05,"SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes -FROM breastCancer;","Here is the SQL code to fetch the requested information from the `breastCancer` table: - -```sql -SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes -FROM breastCancer; -```",1.0442883968,gpt-4o-mini,539,1.0406175655518763,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingelectrocardiographicrresults` FROM `heartAttack`,Show all restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.44e-05,"SELECT restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack; -```",0.7198882103,gpt-4o-mini,540,1.00923791574291,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `fastingbloodsugar` FROM `heartAttack`,Show all fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.625e-05,SELECT fastingbloodsugar FROM heartAttack;,"To fetch all `fastingbloodsugar` values from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT fastingbloodsugar FROM heartAttack; -```",1.9054210186,gpt-4o-mini,541,1.0249316729813829,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `thall` FROM `heartAttack`,Show all thall in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",3.855e-05,SELECT thall FROM heartAttack;,"```sql -SELECT thall FROM heartAttack; -```",0.4880526066,gpt-4o-mini,542,0.9754577297146217,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.55e-05,SELECT restingbloodpressure FROM heartAttack;,"To fetch all the `restingbloodpressure` values from the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT restingbloodpressure FROM heartAttack; -```",1.2886269093,gpt-4o-mini,543,1.0191529464934221,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `numberofmajorvvessels` FROM `heartAttack`,Show all numberofmajorvvessels in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.835e-05,SELECT numberofmajorvvessels FROM heartAttack;,"To fetch all values of `numberofmajorvvessels` from the table `heartAttack`, you can use the following SQL code: - -```sql -SELECT numberofmajorvvessels FROM heartAttack; -```",2.7671611309,gpt-4o-mini,544,1.0238923758970555,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-ALL,SELECT * FROM `heartAttack`,Show all the rows in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",3.795e-05,SELECT * FROM heartAttack;,"```sql -SELECT * FROM heartAttack; -```",0.4707973003,gpt-4o-mini,545,1.0216709738003613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.31e-05,SELECT restingbloodpressure FROM heartAttack;,"Here is the SQL code to fetch all `restingbloodpressure` values from the `heartAttack` table: - -```sql -SELECT restingbloodpressure FROM heartAttack; -```",1.0988404751,gpt-4o-mini,546,1.0288701143197798,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `thall` FROM `heartAttack`","Show all restingbloodpressure, thall in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.955e-05,"SELECT restingbloodpressure, thall FROM heartAttack;","To retrieve all `restingbloodpressure` and `thall` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingbloodpressure, thall FROM heartAttack; -```",0.6954290867,gpt-4o-mini,547,1.012470039066569,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `sex`, `fastingbloodsugar` FROM `heartAttack`","Show all restingbloodpressure, sex, fastingbloodsugar in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.595e-05,"SELECT restingbloodpressure, sex, fastingbloodsugar -FROM heartAttack;","Here is the SQL code to fetch the requested information from the `heartAttack` table: - -```sql -SELECT restingbloodpressure, sex, fastingbloodsugar -FROM heartAttack; -```",0.9360098839,gpt-4o-mini,548,1.0048779758620145,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `thall`, `sex`, `numberofmajorvvessels`, `age` FROM `heartAttack`","Show all thall, sex, numberofmajorvvessels, age in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.74e-05,"SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack;","```sql -SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack; -```",1.1348178387,gpt-4o-mini,549,1.0473755520568009,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, `numberofmajorvvessels` FROM `heartAttack`","Show all restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.585e-05,"SELECT - restingelectrocardiographicrresults, - restingbloodpressure, - thall, - fastingbloodsugar, - numberofmajorvvessels -FROM - heartAttack;","```sql -SELECT - restingelectrocardiographicrresults, - restingbloodpressure, - thall, - fastingbloodsugar, - numberofmajorvvessels -FROM - heartAttack; -```",2.2561042309,gpt-4o-mini,550,1.0025053695226027,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg` FROM `heartAttack`","Show all sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.64e-05,"SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg -FROM heartAttack;","```sql -SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg -FROM heartAttack; -```",1.3810858727,gpt-4o-mini,551,1.0246244665352442,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `restingbloodpressure`, `age`, `fastingbloodsugar`, `sex`, `cholestoralinmg`, `restingelectrocardiographicrresults` FROM `heartAttack`","Show all numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.39e-05,"SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults -FROM heartAttack; -```",0.9247896671,gpt-4o-mini,552,1.0039392132788836,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, `sex` FROM `heartAttack`","Show all numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.77e-05,"SELECT - numberofmajorvvessels, - chestpaintype, - restingelectrocardiographicrresults, - output, - fastingbloodsugar, - restingbloodpressure, - cholestoralinmg, - sex -FROM - heartAttack;","```sql -SELECT - numberofmajorvvessels, - chestpaintype, - restingelectrocardiographicrresults, - output, - fastingbloodsugar, - restingbloodpressure, - cholestoralinmg, - sex -FROM - heartAttack; -```",1.5117461681,gpt-4o-mini,553,1.029776682513807,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `chestpaintype`, `sex`, `fastingbloodsugar`, `restingelectrocardiographicrresults`, `thall`, `numberofmajorvvessels`, `age`, `output`, `restingbloodpressure` FROM `heartAttack`","Show all chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.615e-05,"SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure -FROM heartAttack;","```sql -SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure -FROM heartAttack; -```",0.9030621052,gpt-4o-mini,554,1.00038834433409,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` == 'postmenopausal',Show the data of the table breastCancer where menopausalstatus is equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.705e-05,SELECT * FROM breastCancer WHERE menopausalstatus = 'postmenopausal';,"To fetch the data from the `breastCancer` table where `menopausalstatus` is equal to `postmenopausal`, you can use the following SQL code: - -```sql -SELECT * FROM breastCancer WHERE menopausalstatus = 'postmenopausal'; -```",1.7150173187,gpt-4o-mini,555,1.0381813035801184,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'premenopausal',Show the data of the table breastCancer where menopausalstatus is different from premenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.825e-05,"SELECT * -FROM breastCancer -WHERE menopausalstatus <> 'premenopausal';","To fetch the data from the `breastCancer` table where `menopausalstatus` is different from 'premenopausal', you can use the following SQL code: - -```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus <> 'premenopausal'; -```",1.0725624561,gpt-4o-mini,556,0.9990041017497648,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'postmenopausal',Show the data of the table breastCancer where menopausalstatus not equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.545e-05,SELECT * FROM breastCancer WHERE menopausalstatus <> 'postmenopausal';,"```sql -SELECT * FROM breastCancer WHERE menopausalstatus <> 'postmenopausal'; -```",0.6774046421,gpt-4o-mini,557,1.0140746150795645,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` == 'yes',Show the data of the table breastCancer where hormonaltherapy is equal to yes,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.305e-05,"SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes'; -```",1.1957943439,gpt-4o-mini,558,1.0173755868156527,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy is different from no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.305e-05,"SELECT * -FROM breastCancer -WHERE hormonaltherapy <> 'no';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy <> 'no'; -```",0.4634759426,gpt-4o-mini,559,1.040234973690639,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy not equal to no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.225e-05,SELECT * FROM breastCancer WHERE hormonaltherapy <> 'no';,"To fetch data from the `breastCancer` table where `hormonaltherapy` is not equal to 'no', you can use the following SQL query: - -```sql -SELECT * FROM breastCancer WHERE hormonaltherapy <> 'no'; -```",0.9760932922,gpt-4o-mini,560,0.9973534783089983,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `status` == 'recurrenceOrDeath',Show the data of the table breastCancer where status is equal to recurrenceOrDeath,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.38e-05,SELECT * FROM breastCancer WHERE status = 'recurrenceOrDeath';,"```sql -SELECT * FROM breastCancer WHERE status = 'recurrenceOrDeath'; -```",0.5674169064,gpt-4o-mini,561,1.015320033617639,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status is different from aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.315e-05,"SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence';","Here is the SQL code to fetch the data from the `breastCancer` table where the `status` is different from 'aliveWithoutRecurrence': - -```sql -SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence'; -```",1.5875222683,gpt-4o-mini,562,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status not equal to aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.515e-05,"SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence';","```sql -SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence'; -```",0.5259964466,gpt-4o-mini,563,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `age` > 32,Show the data of the table breastCancer where age is greater than 32,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.185e-05,SELECT * FROM breastCancer WHERE age > 32;,"```sql -SELECT * FROM breastCancer WHERE age > 32; -```",0.4310152531,gpt-4o-mini,564,1.0055627798609537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `progesteronereceptor` < 239,Show the data of the table breastCancer where progesteronereceptor is less than 239,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.27e-05,SELECT * FROM breastCancer WHERE progesteronereceptor < 239;,"Here is the SQL code to fetch the data from the table `breastCancer` where `progesteronereceptor` is less than 239: - -```sql -SELECT * FROM breastCancer WHERE progesteronereceptor < 239; -```",1.1273965836,gpt-4o-mini,565,1.0268498893565106,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` == 'nonAnginalPain',Show the data of the table heartAttack where chestpaintype is equal to nonAnginalPain,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.545e-05,SELECT * FROM heartAttack WHERE chestpaintype = 'nonAnginalPain';,"```sql -SELECT * FROM heartAttack WHERE chestpaintype = 'nonAnginalPain'; -```",0.4028565884,gpt-4o-mini,566,1.0106453548072833,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'asymptomatic',Show the data of the table heartAttack where chestpaintype is different from asymptomatic,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.455e-05,SELECT * FROM heartAttack WHERE chestpaintype <> 'asymptomatic';,"```sql -SELECT * FROM heartAttack WHERE chestpaintype <> 'asymptomatic'; -```",0.559155941,gpt-4o-mini,567,1.0222140187526054,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'typicalAngina',Show the data of the table heartAttack where chestpaintype not equal to typicalAngina,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.53e-05,SELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina';,"```sql -SELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina'; -```",1.0661466122,gpt-4o-mini,568,1.006656069173175,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` == 'leftVentricularHypertrophy',Show the data of the table heartAttack where restingelectrocardiographicrresults is equal to leftVentricularHypertrophy,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.34e-05,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy'; -```",0.8249521255,gpt-4o-mini,569,1.0236110568762455,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'normal',Show the data of the table heartAttack where restingelectrocardiographicrresults is different from normal,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.81e-05,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults <> 'normal';","Here is the SQL code to fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is different from normal: - -```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults <> 'normal'; -```",1.3101539612,gpt-4o-mini,570,1.002474963699915,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'STTWaveAbnormality',Show the data of the table heartAttack where restingelectrocardiographicrresults not equal to STTWaveAbnormality,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.605e-05,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults <> 'STTWaveAbnormality';","Here's the SQL code to fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is not equal to 'STTWaveAbnormality': - -```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults <> 'STTWaveAbnormality'; -```",1.3662493229,gpt-4o-mini,571,1.025590803307575,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` == 'noHeartAttack',Show the data of the table heartAttack where output is equal to noHeartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.32e-05,SELECT * FROM heartAttack WHERE output = 'noHeartAttack';,"```sql -SELECT * FROM heartAttack WHERE output = 'noHeartAttack'; -```",0.6619126797,gpt-4o-mini,572,0.9906375300858045,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output is different from heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.345e-05,"SELECT * -FROM heartAttack -WHERE output <> 'heartAttack';","To fetch the data from the `heartAttack` table where the `output` is different from the values in the same `output` column, you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE output <> 'heartAttack'; -``` - -This SQL code selects all columns from the `heartAttack` table where the `output` column does not equal 'heartAttack'. If you intended to filter the results based on a different condition or value for comparison, please clarify.",1.5519967079,gpt-4o-mini,573,1.0872124896908368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output not equal to heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.285e-05,"SELECT * -FROM heartAttack -WHERE output <> 'heartAttack';","To fetch the data from the `heartAttack` table where the `output` column is not equal to ""heartAttack"", you can use the following SQL code: - -```sql -SELECT * -FROM heartAttack -WHERE output <> 'heartAttack'; -```",1.0741677284,gpt-4o-mini,574,1.0036298707883893,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `numberofmajorvvessels` > 2,Show the data of the table heartAttack where numberofmajorvvessels is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.42e-05,SELECT * FROM heartAttack WHERE numberofmajorvvessels > 2;,"Here is the SQL code to fetch the data from the `heartAttack` table where `numberofmajorvvessels` is greater than 2: - -```sql -SELECT * FROM heartAttack WHERE numberofmajorvvessels > 2; -```",1.265253067,gpt-4o-mini,575,1.0351357205053653,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` > 197,Show the data of the table heartAttack where cholestoralinmg is greater than 197,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.285e-05,SELECT * FROM heartAttack WHERE cholestoralinmg > 197;,"Here is the SQL code to fetch the data from the `heartAttack` table where `cholestoralinmg` is greater than 197: - -```sql -SELECT * FROM heartAttack WHERE cholestoralinmg > 197; -```",1.0433418751,gpt-4o-mini,576,1.0013671404900284,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` < 211,Show the data of the table heartAttack where cholestoralinmg is less than 211,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.485e-05,SELECT * FROM heartAttack WHERE cholestoralinmg < 211;,"```sql -SELECT * FROM heartAttack WHERE cholestoralinmg < 211; -```",0.6268115044,gpt-4o-mini,577,0.9844497286706941,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `thall` > 2,Show the data of the table heartAttack where thall is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.26e-05,SELECT * FROM heartAttack WHERE thall > 2;,"```sql -SELECT * FROM heartAttack WHERE thall > 2; -```",0.6216256618,gpt-4o-mini,578,1.0120374353882187,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `menopausalstatus`) FROM `breastCancer`,How many different menopausalstatus are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.585e-05,"SELECT COUNT(DISTINCT menopausalstatus) AS different_menopausal_status_count -FROM breastCancer;","To retrieve the number of different `menopausalstatus` values in the `breastCancer` table, you would use the following SQL query: - -```sql -SELECT COUNT(DISTINCT menopausalstatus) AS different_menopausal_status_count -FROM breastCancer; -```",1.1421737671,gpt-4o-mini,579,1.0442243997366158,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`,How many different hormonaltherapy are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.85e-05,"SELECT COUNT(DISTINCT hormonaltherapy) AS different_hormonal_therapies -FROM breastCancer;","To find out how many different types of hormonal therapy are present in the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT hormonaltherapy) AS different_hormonal_therapies -FROM breastCancer; -``` - -This query counts the distinct entries in the `hormonaltherapy` column of the `breastCancer` table and returns the result as `different_hormonal_therapies`.",1.7382593155,gpt-4o-mini,580,1.0136385181732754,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `status`) FROM `breastCancer`,How many different status are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.835e-05,"SELECT COUNT(DISTINCT status) AS different_status_count -FROM breastCancer;","To fetch the number of different statuses in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT status) AS different_status_count -FROM breastCancer; -```",1.4576277733,gpt-4o-mini,581,1.0253633880514206,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`progesteronereceptor`) FROM `breastCancer`,Find the maximum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.6e-05,"SELECT MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer;","To find the maximum of the `progesteronereceptor` field from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer; -```",1.5674173832,gpt-4o-mini,582,1.0643748845170733,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`progesteronereceptor`) FROM `breastCancer`,Find the minimum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.3e-05,"SELECT MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer;","Here is the SQL code to find the minimum `progesteronereceptor` value from the `breastCancer` table: - -```sql -SELECT MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer; -```",0.8314211369,gpt-4o-mini,583,0.9986840959638983,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`progesteronereceptor`) FROM `breastCancer`,Find the average progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.24e-05,"SELECT AVG(progesteronereceptor) AS average_progesteronereceptor -FROM breastCancer;","To find the average progesterone receptor level from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT AVG(progesteronereceptor) AS average_progesteronereceptor -FROM breastCancer; -```",1.037321806,gpt-4o-mini,584,1.0192746886219715,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`estrogenreceptor`) FROM `breastCancer`,Find the maximum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.405e-05,"SELECT MAX(estrogenreceptor) AS max_estrogen_receptor -FROM breastCancer;","To find the maximum value of the ""estrogenreceptor"" column from the ""breastCancer"" table, you can execute the following SQL code: - -```sql -SELECT MAX(estrogenreceptor) AS max_estrogen_receptor -FROM breastCancer; -```",1.2718150616,gpt-4o-mini,585,1.03488989387294,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`estrogenreceptor`) FROM `breastCancer`,Find the minimum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.405e-05,"SELECT MIN(estrogenreceptor) AS min_estrogen_receptor -FROM breastCancer;","To find the minimum value of the `estrogenreceptor` field in the `breastCancer` table, you can use the following SQL code: - -```sql -SELECT MIN(estrogenreceptor) AS min_estrogen_receptor -FROM breastCancer; -```",0.9127044678,gpt-4o-mini,586,0.9938164280536537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`estrogenreceptor`) FROM `breastCancer`,Find the average estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.745e-05,"SELECT AVG(estrogenreceptor) AS average_estrogen_receptor -FROM breastCancer;","Here's the SQL code to find the average estrogen receptor value from the `breastCancer` table: - -```sql -SELECT AVG(estrogenreceptor) AS average_estrogen_receptor -FROM breastCancer; -```",1.0710954666,gpt-4o-mini,587,1.0079486743086552,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `sex`) FROM `heartAttack`,How many different sex are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.015e-05,"SELECT COUNT(DISTINCT sex) AS different_sexes -FROM heartAttack;","To answer the question of how many different sexes are present in the `heartAttack` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT sex) AS different_sexes -FROM heartAttack; -```",0.9146537781,gpt-4o-mini,588,1.0295438613677819,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`,How many different chestpaintype are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.225e-05,"SELECT COUNT(DISTINCT chestpaintype) AS different_chestpaintypes -FROM heartAttack;","Here is the SQL code to fetch the number of different `chestpaintype` entries from the `heartAttack` table: - -```sql -SELECT COUNT(DISTINCT chestpaintype) AS different_chestpaintypes -FROM heartAttack; -```",1.6655318737,gpt-4o-mini,589,1.0066162533988292,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`,How many different fastingbloodsugar are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.42e-05,"SELECT COUNT(DISTINCT fastingbloodsugar) AS unique_fastingbloodsugar_count -FROM heartAttack;","To fetch the number of different fasting blood sugar values in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT fastingbloodsugar) AS unique_fastingbloodsugar_count -FROM heartAttack; -```",1.4605798721,gpt-4o-mini,590,1.0070681191645232,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`,How many different restingelectrocardiographicrresults are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.715e-05,"SELECT COUNT(DISTINCT restingelectrocardiographicrresults) AS different_results -FROM heartAttack;","To retrieve the number of different `restingelectrocardiographicrresults` in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT restingelectrocardiographicrresults) AS different_results -FROM heartAttack; -``` - -This query counts the distinct values in the `restingelectrocardiographicrresults` column and labels the output as `different_results`.",1.5330638885,gpt-4o-mini,591,1.0038798850563215,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `output`) FROM `heartAttack`,How many different output are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.715e-05,"SELECT COUNT(DISTINCT output) AS different_outputs -FROM heartAttack;","To retrieve the number of different outputs in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT output) AS different_outputs -FROM heartAttack; -```",0.8893821239,gpt-4o-mini,592,1.007870481518223,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`numberofmajorvvessels`) FROM `heartAttack`,Find the maximum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.15e-05,"SELECT MAX(numberofmajorvvessels) AS max_major_vessels -FROM heartAttack;","To find the maximum number of major vessels in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT MAX(numberofmajorvvessels) AS max_major_vessels -FROM heartAttack; -```",1.3685133457,gpt-4o-mini,593,0.9771206715885202,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`numberofmajorvvessels`) FROM `heartAttack`,Find the minimum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",4.83e-05,"SELECT MIN(numberofmajorvvessels) AS MinimumNumberOfMajorVessels -FROM heartAttack;","```sql -SELECT MIN(numberofmajorvvessels) AS MinimumNumberOfMajorVessels -FROM heartAttack; -```",0.9992661476,gpt-4o-mini,594,1.005468514885386,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`numberofmajorvvessels`) FROM `heartAttack`,Find the average numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.03e-05,"SELECT AVG(numberofmajorvvessels) AS average_number_of_major_vessels -FROM heartAttack;","Here's the SQL code to find the average number of major vessels in the `heartAttack` table: - -```sql -SELECT AVG(numberofmajorvvessels) AS average_number_of_major_vessels -FROM heartAttack; -```",1.1825842857,gpt-4o-mini,595,1.0191865929086181,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`thall`) FROM `heartAttack`,Find the maximum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.69e-05,"SELECT MAX(thall) AS max_thall -FROM heartAttack;","To find the maximum value of the `thall` column from the `heartAttack` table, you would use the `MAX` function in SQL. Here is the SQL query to achieve this: - -```sql -SELECT MAX(thall) AS max_thall -FROM heartAttack; -```",1.2501187325,gpt-4o-mini,596,1.009452315167412,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`thall`) FROM `heartAttack`,Find the minimum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.91e-05,SELECT MIN(thall) AS minimum_thall FROM heartAttack;,"To find the minimum value of the `thall` column from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT MIN(thall) AS minimum_thall FROM heartAttack; -```",0.955650568,gpt-4o-mini,597,1.0386662793923325,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`thall`) FROM `heartAttack`,Find the average thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.73e-05,"SELECT AVG(thall) AS average_thall -FROM heartAttack;","To find the average `thall` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT AVG(thall) AS average_thall -FROM heartAttack; -```",0.9212560654,gpt-4o-mini,598,1.022221199688078,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `nativecountry` FROM `adultCensus`,Show the different nativecountry in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.555e-05,SELECT DISTINCT nativecountry FROM adultCensus;,"```sql -SELECT DISTINCT nativecountry FROM adultCensus; -```",0.6330952644,gpt-4o-mini,599,1.0525667717987768,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `adultCensus`,Show the different sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.86e-05,SELECT DISTINCT sex FROM adultCensus;,"To show the different sex values in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT sex FROM adultCensus; -```",3.2166893482,gpt-4o-mini,600,1.056518074329182,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `race` FROM `adultCensus`,Show the different race in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.8e-05,SELECT DISTINCT race FROM adultCensus;,"To query the different races in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT race FROM adultCensus; -```",0.6788992882,gpt-4o-mini,601,0.9926260808739886,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `workclass` FROM `adultCensus`,Show the different workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.555e-05,SELECT DISTINCT workclass FROM adultCensus;,"```sql -SELECT DISTINCT workclass FROM adultCensus; -```",0.5669462681,gpt-4o-mini,602,1.0182850670855188,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `income` FROM `adultCensus`,Show the different income in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.92e-05,"SELECT DISTINCT income -FROM adultCensus;","To show the different income values in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT income -FROM adultCensus; -```",0.8594732285,gpt-4o-mini,603,1.0055539514770273,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `odor` FROM `mushrooms`,Show the different odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.59e-05,SELECT DISTINCT odor FROM mushrooms;,"To show the different odors in the table `mushrooms`, you can use the following SQL code: - -```sql -SELECT DISTINCT odor FROM mushrooms; -```",0.8848788738,gpt-4o-mini,604,0.9727652738877591,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillspacing` FROM `mushrooms`,Show the different gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.04e-05,"SELECT DISTINCT gillspacing -FROM mushrooms;","To fetch the different gill spacing values from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT gillspacing -FROM mushrooms; -```",0.978284359,gpt-4o-mini,605,1.0197328188830546,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capshape` FROM `mushrooms`,Show the different capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.165e-05,SELECT DISTINCT capshape FROM mushrooms;,"To fetch the different cap shapes from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT capshape FROM mushrooms; -``` - -This query selects all unique values in the `capshape` column from the `mushrooms` table.",1.4082460403,gpt-4o-mini,606,1.00012904613453,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillsize` FROM `mushrooms`,Show the different gillsize in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,SELECT DISTINCT gillsize FROM mushrooms;,"To show the different `gillsize` values in the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT gillsize FROM mushrooms; -```",1.5814905167,gpt-4o-mini,607,1.0529929802597924,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capsurface` FROM `mushrooms`,Show the different capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.025e-05,SELECT DISTINCT capsurface FROM mushrooms;,"To fetch the distinct values of `capsurface` from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT capsurface FROM mushrooms; -```",2.003382206,gpt-4o-mini,608,1.011559969163128,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `education`, COUNT(*) FROM `adultCensus` GROUP BY `education`","For each education, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.76e-05,"SELECT education, COUNT(*) AS count -FROM adultCensus -GROUP BY education;","To count the number of rows in the `adultCensus` table for each unique education level, you can use the following SQL query: - -```sql -SELECT education, COUNT(*) AS count -FROM adultCensus -GROUP BY education; -```",1.0482258797,gpt-4o-mini,609,0.9866720842470268,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `maritalstatus`, COUNT(*) FROM `adultCensus` GROUP BY `maritalstatus`","For each maritalstatus, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.335e-05,"SELECT maritalstatus, COUNT(*) AS number_of_rows -FROM adultCensus -GROUP BY maritalstatus;","```sql -SELECT maritalstatus, COUNT(*) AS number_of_rows -FROM adultCensus -GROUP BY maritalstatus; -```",0.8684790134,gpt-4o-mini,610,1.0086762735521497,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `race`, COUNT(*) FROM `adultCensus` GROUP BY `race`","For each race, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.64e-05,"SELECT race, COUNT(*) AS count -FROM adultCensus -GROUP BY race;","To count the number of rows for each race in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT race, COUNT(*) AS count -FROM adultCensus -GROUP BY race; -```",1.6987550259,gpt-4o-mini,611,1.0161929451084257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `nativecountry`, COUNT(*) FROM `adultCensus` GROUP BY `nativecountry`","For each nativecountry, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.955e-05,"SELECT nativecountry, COUNT(*) AS row_count -FROM adultCensus -GROUP BY nativecountry;","To count the number of rows in the `adultCensus` table for each `nativecountry`, you can use the following SQL query: - -```sql -SELECT nativecountry, COUNT(*) AS row_count -FROM adultCensus -GROUP BY nativecountry; -```",1.1695895195,gpt-4o-mini,612,0.9888602995926304,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `workclass`, COUNT(*) FROM `adultCensus` GROUP BY `workclass`","For each workclass, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.975e-05,"SELECT workclass, COUNT(*) AS count -FROM adultCensus -GROUP BY workclass;","To count the number of rows for each workclass in the `adultCensus` table, you can use the SQL `GROUP BY` clause along with the `COUNT()` function. Here’s the SQL code you would execute: - -```sql -SELECT workclass, COUNT(*) AS count -FROM adultCensus -GROUP BY workclass; -```",5.0866749287,gpt-4o-mini,613,1.0141129752359324,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `race`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.37e-05,"SELECT race, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY race;","To answer the question regarding finding the minimum of `hoursperweek` for each race in the `adultCensus` table, here is the SQL statement that you can execute: - -```sql -SELECT race, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY race; -``` - -This SQL query selects the race and the minimum hours worked per week from the `adultCensus` table, grouping the results by race.",2.8847332001,gpt-4o-mini,614,1.0051482965602092,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `race`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.01e-05,"SELECT race, MAX(hoursperweek) AS max_hours_per_week -FROM adultCensus -GROUP BY race;","To find the maximum `hoursperweek` for each race in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT race, MAX(hoursperweek) AS max_hours_per_week -FROM adultCensus -GROUP BY race; -``` - -This query selects the race and the maximum number of hours worked per week, grouped by each race, from the `adultCensus` table.",1.0615479946,gpt-4o-mini,615,0.9996711452649412,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `race`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.27e-05,"SELECT race, AVG(hoursperweek) AS avg_hours_per_week -FROM adultCensus -GROUP BY race;","To find the average of `hoursperweek` for each race in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT race, AVG(hoursperweek) AS avg_hours_per_week -FROM adultCensus -GROUP BY race; -```",1.1247067451,gpt-4o-mini,616,1.0140092730259713,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `race`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.09e-05,"SELECT race, SUM(hoursperweek) AS total_hours_per_week -FROM adultCensus -GROUP BY race;","Here is the SQL code to find the sum of `hoursperweek` for each race from the `adultCensus` table: - -```sql -SELECT race, SUM(hoursperweek) AS total_hours_per_week -FROM adultCensus -GROUP BY race; -```",1.1479108334,gpt-4o-mini,617,1.0075547402348393,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `education`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.13e-05,"SELECT education, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY education;","To fetch the minimum of `hoursperweek` for each `education` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY education; -``` - -This SQL code groups the records by the `education` field and calculates the minimum value of `hoursperweek` for each education category.",1.8767969608,gpt-4o-mini,618,0.9964886526988224,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `education`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.15e-05,"SELECT education, MAX(hoursperweek) AS max_hours_per_week -FROM adultCensus -GROUP BY education;","Here is the SQL code to fetch the maximum `hoursperweek` for each `education` from the `adultCensus` table: - -```sql -SELECT education, MAX(hoursperweek) AS max_hours_per_week -FROM adultCensus -GROUP BY education; -```",1.5523622036,gpt-4o-mini,619,0.999744794874728,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `education`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.47e-05,"SELECT education, AVG(hoursperweek) AS avg_hours_per_week -FROM adultCensus -GROUP BY education;","```sql -SELECT education, AVG(hoursperweek) AS avg_hours_per_week -FROM adultCensus -GROUP BY education; -```",1.2177743912,gpt-4o-mini,620,1.0104029486538104,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `education`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.63e-05,"SELECT education, SUM(hoursperweek) AS total_hours_per_week -FROM adultCensus -GROUP BY education;","To answer the question and compute the sum of `hoursperweek` grouped by `education` in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education, SUM(hoursperweek) AS total_hours_per_week -FROM adultCensus -GROUP BY education; -```",2.0169143677,gpt-4o-mini,621,0.9969039757713271,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillcolor`, COUNT(*) FROM `mushrooms` GROUP BY `gillcolor`","For each gillcolor, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.94e-05,"SELECT gillcolor, COUNT(*) AS count -FROM mushrooms -GROUP BY gillcolor;","To count the number of rows in the `mushrooms` table grouped by `gillcolor`, you can use the following SQL code: - -```sql -SELECT gillcolor, COUNT(*) AS count -FROM mushrooms -GROUP BY gillcolor; -```",0.9920213223,gpt-4o-mini,622,0.9930873941725176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `bruises`, COUNT(*) FROM `mushrooms` GROUP BY `bruises`","For each bruises, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.665e-05,"SELECT bruises, COUNT(*) AS count -FROM mushrooms -GROUP BY bruises;","To count the number of rows in the `mushrooms` table for each unique value of the `bruises` column, you can use the following SQL query: - -```sql -SELECT bruises, COUNT(*) AS count -FROM mushrooms -GROUP BY bruises; -``` - -This query groups the rows by the `bruises` column and counts the number of occurrences for each unique value.",1.2976403236,gpt-4o-mini,623,1.0088555363492882,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillsize`, COUNT(*) FROM `mushrooms` GROUP BY `gillsize`","For each gillsize, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.2e-05,"SELECT gillsize, COUNT(*) AS count -FROM mushrooms -GROUP BY gillsize;","```sql -SELECT gillsize, COUNT(*) AS count -FROM mushrooms -GROUP BY gillsize; -```",0.6088678837,gpt-4o-mini,624,1.0011200861245295,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `class`, COUNT(*) FROM `mushrooms` GROUP BY `class`","For each class, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.55e-05,"SELECT class, COUNT(*) AS row_count -FROM mushrooms -GROUP BY class;","To count the number of rows in the `mushrooms` table for each class, you can use the following SQL query: - -```sql -SELECT class, COUNT(*) AS row_count -FROM mushrooms -GROUP BY class; -```",0.832318306,gpt-4o-mini,625,1.2770090069401427,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `capsurface`, COUNT(*) FROM `mushrooms` GROUP BY `capsurface`","For each capsurface, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.065e-05,"SELECT capsurface, COUNT(*) as count -FROM mushrooms -GROUP BY capsurface;","```sql -SELECT capsurface, COUNT(*) as count -FROM mushrooms -GROUP BY capsurface; -```",0.6416900158,gpt-4o-mini,626,1.0117612027697482,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) >= 10,Find all the race that have at least 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.03e-05,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10;","To find all the races that have at least 10 records in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10; -```",1.0458841324,gpt-4o-mini,627,1.0032942313968514,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) <= 10,Find all the race that have at most 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.03e-05,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10;","To find all the races that have at most 10 records in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10; -```",1.5288181305,gpt-4o-mini,628,1.0034848129773917,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) >= 4,Find all the relationship that have at least 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.03e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4;","To fetch all the relationships that have at least 4 records in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4; -```",1.0608947277,gpt-4o-mini,629,1.0008291943814331,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) <= 4,Find all the relationship that have at most 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.95e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4;","To find all the relationships that have at most 4 records in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4; -``` - -This code groups the records by the `relationship` column and filters the results to include only those groups that have a count of 4 or fewer records.",2.506963253,gpt-4o-mini,630,0.998458763421962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) >= 5,Find all the maritalstatus that have at least 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.225e-05,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5;","To find all the marital statuses that have at least 5 records in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5; -```",1.4427521229,gpt-4o-mini,631,1.0399459509948141,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) <= 5,Find all the maritalstatus that have at most 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.465e-05,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5;","To find all the `maritalstatus` values that have at most 5 records in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5; -```",1.368363142,gpt-4o-mini,632,1.0125281582945695,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) >= 42.72,List the nativecountry which average of hoursperweek is at least 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72;","Here is the SQL code to fetch the desired information: - -```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72; -```",1.1444337368,gpt-4o-mini,633,1.0149540851053254,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) <= 42.72,List the nativecountry which average of hoursperweek is at most 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.96e-05,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72;","To list the native countries where the average hours worked per week is at most 42.72 from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72; -```",1.4296576977,gpt-4o-mini,634,1.0622945599582343,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) >= 270.33,List the nativecountry which summation of hoursperweek is at least 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.815e-05,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33; -```",3.8890023232,gpt-4o-mini,635,1.0148999425051095,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) <= 270.33,List the nativecountry which summation of hoursperweek is at most 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.095e-05,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33;","Here is the SQL code to list the `nativecountry` where the summation of `hoursperweek` is at most 270.33 from the `adultCensus` table: - -```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33; -```",1.2862026691,gpt-4o-mini,636,0.9934029507796343,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) >= 36.84,List the relationship which average of hoursperweek is at least 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.705e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84;","Here is the SQL code to fetch the relationships where the average of `hoursperweek` is at least 36.84 from the `adultCensus` table: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84; -```",1.14301157,gpt-4o-mini,637,1.0262636627180561,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) <= 36.84,List the relationship which average of hoursperweek is at most 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.585e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84;","Here is the SQL code to fetch the relationships where the average of hours per week is at most 36.84 from the `adultCensus` table: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84; -```",2.6400668621,gpt-4o-mini,638,0.9994563925078653,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) >= 162.2,List the relationship which summation of hoursperweek is at least 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.96e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2;","To list the relationships where the summation of `hoursperweek` is at least 162.2 in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2; -```",1.0801770687,gpt-4o-mini,639,1.003828504697878,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) <= 162.2,List the relationship which summation of hoursperweek is at most 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.96e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2;","To fetch the relationship where the summation of `hoursperweek` is at most 162.2 in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2; -```",1.2687864304,gpt-4o-mini,640,1.0223488081637915,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) >= 5,Find all the capshape that have at least 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.275e-05,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5;","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5; -```",0.6871836185,gpt-4o-mini,641,1.002919925922635,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) <= 5,Find all the capshape that have at most 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.235e-05,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5;","To find all the `capshape` values that have at most 5 records in the `mushrooms` table, we can use the `GROUP BY` clause in conjunction with the `HAVING` clause to specify the condition on the count of records for each `capshape`. The SQL code would look like this: - -```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5; -```",1.8978476524,gpt-4o-mini,642,0.9961674598842671,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) >= 6,Find all the capsurface that have at least 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.275e-05,"SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6;","```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6; -```",0.71788311,gpt-4o-mini,643,1.0275979123575092,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) <= 6,Find all the capsurface that have at most 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.655e-05,"SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6;","To find all the `capsurface` values in the `mushrooms` table that have at most 6 records, you can use the following SQL code: - -```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6; -``` - -This query groups the records by `capsurface` and counts how many records exist for each `capsurface`. It then filters the results to include only those that have 6 or fewer records.",1.6050095558,gpt-4o-mini,644,1.0109674590880964,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) >= 10,Find all the class that have at least 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.88e-05,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10;","To find all the classes in the `mushrooms` table that have at least 10 records, you can use the following SQL code: - -```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10; -```",1.2214734554,gpt-4o-mini,645,0.9961091341157687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) <= 10,Find all the class that have at most 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.62e-05,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10;","To find all the classes in the `mushrooms` table that have at most 10 records, you can use the following SQL query: - -```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10; -``` - -This query groups the records by the `class` field and then filters the groups to include only those that contain 10 or fewer records.",1.3975088596,gpt-4o-mini,646,1.029779055800845,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the workclass with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.535e-05,"SELECT DISTINCT workclass, maritalstatus -FROM adultCensus;","To retrieve the distinct combinations of workclass and maritalstatus from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT workclass, maritalstatus -FROM adultCensus; -```",1.3124775887,gpt-4o-mini,647,0.0,0.1,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the workclass with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.9e-05,"SELECT DISTINCT workclass, race -FROM adultCensus;","To fetch the distinct workclasses along with all the races from the `adultCensus` table, you can utilize the following SQL query: - -```sql -SELECT DISTINCT workclass, race -FROM adultCensus; -``` - -This query selects unique combinations of `workclass` and `race` from the `adultCensus` table.",1.4160220623,gpt-4o-mini,648,0.0,0.25,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the workclass with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.32e-05,"SELECT DISTINCT workclass, sex -FROM adultCensus;","To fetch the distinct `workclass` and all associated `sex` values from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT workclass, sex -FROM adultCensus; -``` - -This query will return all unique combinations of `workclass` and `sex` present in the `adultCensus` table.",1.5923018456,gpt-4o-mini,649,0.0,0.25,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the workclass with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.055e-05,"SELECT DISTINCT workclass, nativecountry -FROM adultCensus;","To retrieve the unique combinations of `workclass` and `nativecountry` from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT workclass, nativecountry -FROM adultCensus; -``` - -This query selects distinct pairs of `workclass` and `nativecountry` from the `adultCensus` table, which answers the question about the combinations available in the specified fields.",2.7707881927,gpt-4o-mini,650,0.0,0.111,1.0,0.0,0.125,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the workclass with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.02e-05,"SELECT DISTINCT workclass, income -FROM adultCensus;","To answer the question about the workclass with all the income in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT workclass, income -FROM adultCensus; -``` - -This query retrieves all unique combinations of `workclass` and `income` from the `adultCensus` table.",2.5238919258,gpt-4o-mini,651,0.0,0.25,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the education with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.4e-05,"SELECT DISTINCT education, maritalstatus -FROM adultCensus;","To fetch distinct education levels along with all marital statuses from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT education, maritalstatus -FROM adultCensus; -```",1.1097481251,gpt-4o-mini,652,0.0,0.083,1.0,0.0,0.071,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `relationship`) = (SELECT COUNT(DISTINCT `relationship`) FROM `adultCensus`),What are the education with all the relationship in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.705e-05,"SELECT DISTINCT education, relationship -FROM adultCensus;","To fetch the unique education levels along with their associated relationships from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT education, relationship -FROM adultCensus; -``` - -This SQL code will return all distinct combinations of education and relationship from the `adultCensus` table.",1.2882018089,gpt-4o-mini,653,0.0,0.077,1.0,0.0,0.062,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the education with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.385e-05,"SELECT DISTINCT education, race -FROM adultCensus;","To fetch the distinct education levels along with all the races from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT education, race -FROM adultCensus; -```",1.3055071831,gpt-4o-mini,654,0.0,0.2,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the education with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.265e-05,"SELECT DISTINCT education, sex -FROM adultCensus;","To fetch the distinct combinations of education and sex from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT education, sex -FROM adultCensus; -```",0.8654406071,gpt-4o-mini,655,0.0,0.2,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the education with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.025e-05,"SELECT education, income -FROM adultCensus;","To fetch the education and income from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education, income -FROM adultCensus; -```",1.2228775024,gpt-4o-mini,656,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the maritalstatus with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT DISTINCT maritalstatus, race -FROM adultCensus;","To fetch the distinct marital statuses along with all the races from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT maritalstatus, race -FROM adultCensus; -```",1.24020648,gpt-4o-mini,657,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the maritalstatus with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT DISTINCT maritalstatus, sex -FROM adultCensus;","To fetch the distinct marital statuses along with all corresponding sexes from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT maritalstatus, sex -FROM adultCensus; -```",4.080104351,gpt-4o-mini,658,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the maritalstatus with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.4e-05,"SELECT maritalstatus, income -FROM adultCensus;","To fetch the distinct marital statuses along with their corresponding income from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT maritalstatus, income -FROM adultCensus; -```",1.227540493,gpt-4o-mini,659,0.0,0.5,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the occupation with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.825e-05,"SELECT DISTINCT occupation, race -FROM adultCensus;","To fetch the occupations along with all the distinct races from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT occupation, race -FROM adultCensus; -``` - -This SQL code retrieves all unique combinations of `occupation` and `race` from the `adultCensus` table.",1.3354625702,gpt-4o-mini,660,0.0,0.083,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the occupation with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.705e-05,"SELECT DISTINCT occupation, sex -FROM adultCensus;","To fetch the distinct occupations along with associated sexes from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT occupation, sex -FROM adultCensus; -``` - -This query selects the unique combinations of `occupation` and `sex` from the `adultCensus` table.",1.4430520535,gpt-4o-mini,661,0.0,0.25,1.0,0.0,0.231,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the occupation with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.145e-05,"SELECT occupation, income FROM adultCensus;","To fetch the occupations along with their corresponding income from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT occupation, income FROM adultCensus; -```",0.8700330257,gpt-4o-mini,662,0.0,0.25,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the relationship with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.365e-05,"SELECT DISTINCT race, relationship -FROM adultCensus;","To retrieve all the relationships associated with each race from the `adultCensus` table, you can utilize the following SQL query: - -```sql -SELECT DISTINCT race, relationship -FROM adultCensus; -``` - -This query selects distinct pairs of `race` and `relationship` from the `adultCensus` table, helping to identify all the unique relationships associated with each race.",1.450139761,gpt-4o-mini,663,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the relationship with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.645e-05,"SELECT DISTINCT relationship, sex -FROM adultCensus;","To retrieve the relationships associated with all the sexes in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT relationship, sex -FROM adultCensus; -``` - -This query selects unique combinations of `relationship` and `sex` from the `adultCensus` table.",1.8367235661,gpt-4o-mini,664,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the relationship with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.065e-05,"SELECT relationship, income -FROM adultCensus;","To fetch the relationships associated with all income levels in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT relationship, income -FROM adultCensus; -``` - -This SQL code will return the `relationship` and `income` columns from the `adultCensus` table, showing the relationships categorized by income.",1.4164407253,gpt-4o-mini,665,0.0,0.429,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the race with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00010545,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(DISTINCT sex) = 2;","To address the question of fetching races that have representatives of all sexes from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(DISTINCT sex) = 2; -``` - -In this query: -- We group the results by `race`. -- We use `HAVING` to filter those groups, checking that the count of distinct `sex` values associated with each race equals 2 (assuming ""male"" and ""female"" as the two sexes). If there are more than two sexes represented, adjust the condition accordingly.",1.7492232323,gpt-4o-mini,666,1.0001838463150166,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the race with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.9e-05,"SELECT DISTINCT race, nativecountry -FROM adultCensus;","To fetch the distinct races along with their corresponding native countries from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT race, nativecountry -FROM adultCensus; -``` - -This query selects unique combinations of `race` and `nativecountry` from the `adultCensus` table.",1.9246988297,gpt-4o-mini,667,0.0,0.2,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the race with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.325e-05,"SELECT DISTINCT race, income -FROM adultCensus;","To fetch the distinct races along with their respective income from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT race, income -FROM adultCensus; -```",1.2842757702,gpt-4o-mini,668,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `sex` FROM `adultCensus` GROUP BY `sex` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the sex with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.325e-05,"SELECT DISTINCT sex, income -FROM adultCensus;","To fetch the distinct sexes along with their associated income from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT sex, income -FROM adultCensus; -```",1.2572085857,gpt-4o-mini,669,0.0,0.5,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the nativecountry with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.14e-05,"SELECT DISTINCT nativecountry, income -FROM adultCensus;","To fetch the unique `nativecountry` values along with their corresponding `income` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT nativecountry, income -FROM adultCensus; -``` - -This SQL code will retrieve all unique combinations of `nativecountry` and `income` in the specified table.",1.4630658627,gpt-4o-mini,670,0.0,0.2,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the class with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001281,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capsurface) = (SELECT COUNT(DISTINCT capsurface) FROM mushrooms);","To fetch the classes with all the capsurface values in the `mushrooms` table, you will need to execute a SQL query that groups the data by class and ensures that each class has all possible capsurface values. Assuming you want to check against distinct capsurface values, here's how you can write the SQL code: - -```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capsurface) = (SELECT COUNT(DISTINCT capsurface) FROM mushrooms); -``` - -This query groups the records by the `class` field, counts the distinct `capsurface` entries for each class, and checks these counts against the total number of distinct `capsurface` values in the entire `mushrooms` table. Only those classes that have entries for all available capsurfaces will be returned.",2.3657925129,gpt-4o-mini,671,1.0225753796602135,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the class with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001023,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms);","To answer the question regarding the classes with all the unique cap colors in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms); -``` - -This query groups the data by `class` and checks if the count of distinct `capcolor` for each class is equal to the total count of distinct `capcolor` in the entire `mushrooms` table. If this condition is fulfilled, it will return those classes.",2.3398120403,gpt-4o-mini,672,1.0117944069914677,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the class with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",9.69e-05,"SELECT DISTINCT class -FROM mushrooms -WHERE bruises = 't'; -- Assuming 't' denotes true for having bruises","To fetch the classes that have all the bruises in the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT class -FROM mushrooms -WHERE bruises = 't'; -- Assuming 't' denotes true for having bruises -``` - -This query selects distinct classes from the `mushrooms` table where the `bruises` column indicates that the mushroom has bruises. The condition assumes 't' signifies the presence of bruises. Adjust the value accordingly if a different representation is used in your database.",1.7289087772,gpt-4o-mini,673,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the class with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.145e-05,"SELECT DISTINCT class -FROM mushrooms -WHERE gillattachment IS NOT NULL;","To fetch the classes with all the `gillattachment` values from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT class -FROM mushrooms -WHERE gillattachment IS NOT NULL; -``` - -This query selects distinct classes from the `mushrooms` table where the `gillattachment` is not null, ensuring you get a list of classes that have associated gill attachment values.",1.2888379097,gpt-4o-mini,674,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the class with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.025e-05,"SELECT DISTINCT class, gillspacing -FROM mushrooms;","To retrieve the unique classes with all the gillspacing information from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT class, gillspacing -FROM mushrooms; -``` - -This query selects distinct values from the `class` and `gillspacing` columns in the `mushrooms` table, ensuring that you get all unique combinations of classes and their respective gillspacing.",2.2005951405,gpt-4o-mini,675,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the class with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.965e-05,"SELECT DISTINCT class, gillsize -FROM mushrooms;","To answer the question about what are the classes with all the gillsize in the ""mushrooms"" table, you can use the following SQL code: - -```sql -SELECT DISTINCT class, gillsize -FROM mushrooms; -``` - -This SQL query selects all distinct combinations of ""class"" and ""gillsize"" from the ""mushrooms"" table, providing you with the classes alongside their corresponding gillsizes.",1.7575609684,gpt-4o-mini,676,0.0,0.5,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the capshape with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.945e-05,"SELECT DISTINCT capshape, capsurface -FROM mushrooms;","To answer the question ""What are the capshape with all the capsurface in table mushrooms?"", you would want to select distinct combinations of `capshape` and `capsurface` from the `mushrooms` table. Here's the SQL code to retrieve that information: - -```sql -SELECT DISTINCT capshape, capsurface -FROM mushrooms; -```",1.4325621128,gpt-4o-mini,677,0.0,0.143,1.0,0.0,0.143,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the capshape with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.065e-05,"SELECT DISTINCT capshape, capcolor -FROM mushrooms;","To fetch the distinct capshape along with all the corresponding capcolor from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capshape, capcolor -FROM mushrooms; -``` - -This query retrieves unique combinations of `capshape` and `capcolor` present in the `mushrooms` table.",1.2277216911,gpt-4o-mini,678,0.0,0.111,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capshape with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.745e-05,"SELECT DISTINCT capshape -FROM mushrooms -WHERE bruises = 'yes';","To fetch the distinct capshape values for mushrooms that have bruises from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capshape -FROM mushrooms -WHERE bruises = 'yes'; -```",1.754193306,gpt-4o-mini,679,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capshape with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.38e-05,"SELECT DISTINCT capshape, gillattachment -FROM mushrooms;","To retrieve the `capshape` values with all unique `gillattachment` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capshape, gillattachment -FROM mushrooms; -``` - -This query selects distinct combinations of `capshape` and `gillattachment` from the `mushrooms` table.",4.8187201023,gpt-4o-mini,680,0.0,0.167,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capshape with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.76e-05,"SELECT DISTINCT capshape, gillspacing -FROM mushrooms;","To fetch the unique combinations of `capshape` and `gillspacing` from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT capshape, gillspacing -FROM mushrooms; -```",0.9530389309,gpt-4o-mini,681,0.0,0.167,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capshape with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.94e-05,"SELECT DISTINCT capshape, gillsize -FROM mushrooms;","To fetch the distinct `capshape` values along with all corresponding `gillsize` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capshape, gillsize -FROM mushrooms; -```",1.5027463436,gpt-4o-mini,682,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capsurface with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",9.765e-05,"SELECT capsurface -FROM mushrooms -WHERE bruises = 'yes';","To answer the question about the `capsurface` with all the bruises in the `mushrooms` table, you want to select the `capsurface` where the `bruises` column indicates that bruises are present. The query would look something like this: - -```sql -SELECT capsurface -FROM mushrooms -WHERE bruises = 'yes'; -``` - -This SQL code will fetch all distinct `capsurface` values from the `mushrooms` table where the `bruises` attribute is marked as 'yes', indicating the presence of bruises.",2.7328448296,gpt-4o-mini,683,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capsurface with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.64e-05,"SELECT capsurface, gillattachment -FROM mushrooms;","To fetch the `capsurface` with all the `gillattachment` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface, gillattachment -FROM mushrooms; -```",0.6809909344,gpt-4o-mini,684,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capsurface with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.94e-05,"SELECT DISTINCT capsurface, gillspacing -FROM mushrooms;","To fetch the desired information about the `capsurface` with all the `gillspacing` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capsurface, gillspacing -FROM mushrooms; -```",0.8016138077,gpt-4o-mini,685,0.0,0.4,1.0,0.0,0.4,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capsurface with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6e-05,"SELECT DISTINCT capsurface, gillsize -FROM mushrooms;","To answer the question about obtaining all unique combinations of `capsurface` and `gillsize` from the `mushrooms` table, the SQL code would be as follows: - -```sql -SELECT DISTINCT capsurface, gillsize -FROM mushrooms; -```",1.409819603,gpt-4o-mini,686,0.0,0.6,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capcolor with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.025e-05,"SELECT DISTINCT capcolor -FROM mushrooms -WHERE bruises = 'yes';","To fetch the distinct cap colors of mushrooms with bruises from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT capcolor -FROM mushrooms -WHERE bruises = 'yes'; -``` - -This query selects unique cap colors from the `mushrooms` table where the `bruises` column indicates that the mushrooms have bruises (assuming bruises are marked as 'yes').",1.8619310856,gpt-4o-mini,687,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capcolor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.38e-05,"SELECT DISTINCT capcolor, gillattachment -FROM mushrooms;","To fetch the distinct `capcolor` and `gillattachment` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capcolor, gillattachment -FROM mushrooms; -``` - -This query will return all unique combinations of `capcolor` and `gillattachment` present in the `mushrooms` table.",1.9624824524,gpt-4o-mini,688,0.0,0.143,1.0,0.0,0.167,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capcolor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.5e-05,"SELECT DISTINCT capcolor, gillspacing -FROM mushrooms;","To fetch the distinct `capcolor` along with all the `gillspacing` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capcolor, gillspacing -FROM mushrooms; -``` - -This query retrieves all unique combinations of `capcolor` and `gillspacing` from the `mushrooms` table.",2.3011906147,gpt-4o-mini,689,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capcolor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.76e-05,"SELECT DISTINCT capcolor, gillsize -FROM mushrooms;","To fetch all unique combinations of `capcolor` and `gillsize` from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT capcolor, gillsize -FROM mushrooms; -```",0.8581535816,gpt-4o-mini,690,0.0,0.571,1.0,0.0,0.444,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the bruises with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",9.96e-05,"SELECT bruises, gillattachment -FROM mushrooms -WHERE gillattachment IS NOT NULL;","To retrieve the bruises with all the gillattachment from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT bruises, gillattachment -FROM mushrooms -WHERE gillattachment IS NOT NULL; -``` - -This query selects the `bruises` and `gillattachment` columns from the `mushrooms` table, filtering results to only include rows where `gillattachment` is not null. If by ""all the gillattachment"" you meant all unique gill attachments, you may want to revise the query accordingly.",1.960837841,gpt-4o-mini,691,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the bruises with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.98e-05,"SELECT bruises, gillspacing -FROM mushrooms;","Here is the SQL code to fetch the bruises with all the gillspacing in the mushrooms table: - -```sql -SELECT bruises, gillspacing -FROM mushrooms; -```",1.1355485916,gpt-4o-mini,692,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the bruises with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT bruises, gillsize -FROM mushrooms;","To fetch the bruises along with all the gill size from the `mushrooms` table, you can execute the following SQL code: - -```sql -SELECT bruises, gillsize -FROM mushrooms; -```",0.8073191643,gpt-4o-mini,693,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the odor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.905e-05,"SELECT DISTINCT odor -FROM mushrooms -WHERE gillattachment IS NOT NULL;","To fetch the distinct odors associated with all gill attachments in the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT odor -FROM mushrooms -WHERE gillattachment IS NOT NULL; -``` - -This query selects distinct values of the `odor` column from the `mushrooms` table, ensuring that it only includes records where the `gillattachment` is not null.",1.2009270191,gpt-4o-mini,694,0.0,0.2,1.0,0.0,0.2,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the odor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.005e-05,"SELECT DISTINCT odor, gillspacing -FROM mushrooms;","To retrieve the distinct odors associated with all gillspacing values from the `mushrooms` table, you can execute the following SQL query: - -```sql -SELECT DISTINCT odor, gillspacing -FROM mushrooms; -``` - -This query fetches unique combinations of `odor` and `gillspacing` from the `mushrooms` table.",1.2006611824,gpt-4o-mini,695,0.0,0.143,1.0,0.0,0.167,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the odor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.445e-05,"SELECT DISTINCT odor, gillsize -FROM mushrooms;","To fetch the distinct odors along with all the gill sizes from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT odor, gillsize -FROM mushrooms; -```",1.3601109982,gpt-4o-mini,696,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the gillattachment with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.835e-05,"SELECT gillattachment, gillspacing -FROM mushrooms;","To fetch the `gillattachment` with all the corresponding `gillspacing` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillattachment, gillspacing -FROM mushrooms; -```",0.8663833141,gpt-4o-mini,697,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillattachment with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00010335,"SELECT DISTINCT gillattachment, gillsize -FROM mushrooms;","To fetch the distinct `gillattachment` along with all corresponding `gillsize` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillattachment, gillsize -FROM mushrooms; -``` - -This query selects all rows from the `mushrooms` table, retrieving both the `gillattachment` and `gillsize` columns. If you need only distinct combinations of `gillattachment` and `gillsize`, you can modify the query as follows: - -```sql -SELECT DISTINCT gillattachment, gillsize -FROM mushrooms; -```",3.1387786865,gpt-4o-mini,698,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillspacing with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.895e-05,"SELECT gillspacing, gillsize -FROM mushrooms;","To retrieve the `gillspacing` along with all the `gillsize` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillspacing, gillsize -FROM mushrooms; -```",1.1556146145,gpt-4o-mini,699,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillcolor`) = (SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`),What are the gillspacing with all the gillcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.515e-05,"SELECT DISTINCT gillspacing, gillcolor -FROM mushrooms;","To retrieve the unique combinations of `gillspacing` and `gillcolor` from the `mushrooms` table, you can execute the following SQL code: - -```sql -SELECT DISTINCT gillspacing, gillcolor -FROM mushrooms; -``` - -This query selects distinct pairs of `gillspacing` and `gillcolor` from the `mushrooms` table.",1.7999219894,gpt-4o-mini,700,0.0,0.091,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` ASC,Show all data ordered by hoursperweek in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.945e-05,"SELECT * FROM adultCensus -ORDER BY hoursperweek ASC;","```sql -SELECT * FROM adultCensus -ORDER BY hoursperweek ASC; -```",0.4023170471,gpt-4o-mini,701,1.0082236417452417,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` DESC,Show all data ordered by hoursperweek in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.625e-05,"SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC;","Here is the SQL code to fetch all data from the `adultCensus` table ordered by `hoursperweek` in descending order: - -```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC; -```",1.1473531723,gpt-4o-mini,702,1.0038771664263229,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` ASC,Show all data ordered by income in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.795e-05,"SELECT * FROM adultCensus -ORDER BY income ASC;","```sql -SELECT * FROM adultCensus -ORDER BY income ASC; -```",0.6659693718,gpt-4o-mini,703,1.0144425702177167,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` DESC,Show all data ordered by income in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.735e-05,SELECT * FROM adultCensus ORDER BY income DESC;,"```sql -SELECT * FROM adultCensus ORDER BY income DESC; -```",0.5662293434,gpt-4o-mini,704,1.0448870682287112,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` ASC,Project the maritalstatus ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.96e-05,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC;","```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC; -```",0.465542078,gpt-4o-mini,705,1.0139566006498173,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` DESC,Project the maritalstatus ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.52e-05,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC;","Here is the SQL code to project the `maritalstatus` ordered in descending order from the `adultCensus` table: - -```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC; -```",0.8523418903,gpt-4o-mini,706,1.0269060612686263,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` ASC,Project the relationship ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.685e-05,"SELECT relationship -FROM adultCensus -ORDER BY relationship ASC;","To project the `relationship` column from the `adultCensus` table and order the results in ascending order, you can use the following SQL code: - -```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship ASC; -```",1.1199946404,gpt-4o-mini,707,1.0008733540500427,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` DESC,Project the relationship ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.625e-05,"SELECT relationship -FROM adultCensus -ORDER BY relationship DESC;","To project the ""relationship"" column from the `adultCensus` table and order it in descending order, you can use the following SQL code: - -```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship DESC; -```",0.9999539852,gpt-4o-mini,708,1.0019873551672203,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` ASC,Show all data ordered by class in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.645e-05,"SELECT * FROM mushrooms -ORDER BY class ASC;","```sql -SELECT * FROM mushrooms -ORDER BY class ASC; -```",0.6901297569,gpt-4o-mini,709,1.0443692282763355,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` DESC,Show all data ordered by class in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.505e-05,"SELECT * FROM mushrooms -ORDER BY class DESC;","To fetch all data from the `mushrooms` table ordered by the `class` column in descending order, you can use the following SQL query: - -```sql -SELECT * FROM mushrooms -ORDER BY class DESC; -```",1.7975301743,gpt-4o-mini,710,1.0059007462791953,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` ASC,Show all data ordered by gillattachment in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.795e-05,"SELECT * -FROM mushrooms -ORDER BY gillattachment ASC;","```sql -SELECT * -FROM mushrooms -ORDER BY gillattachment ASC; -```",0.7418727875,gpt-4o-mini,711,1.0119224721637143,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` DESC,Show all data ordered by gillattachment in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.475e-05,"SELECT * FROM mushrooms -ORDER BY gillattachment DESC;","Here is the SQL code to fetch all data from the `mushrooms` table ordered by `gillattachment` in descending order: - -```sql -SELECT * FROM mushrooms -ORDER BY gillattachment DESC; -```",0.8335444927,gpt-4o-mini,712,1.0096380096476996,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` ASC,Project the gillspacing ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.945e-05,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC;","```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC; -```",0.5834507942,gpt-4o-mini,713,1.0125828403880264,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` DESC,Project the gillspacing ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.565e-05,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC;","To fetch the ordered gillspacing from the `mushrooms` table in descending order, you can use the following SQL code: - -```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC; -```",1.1992855072,gpt-4o-mini,714,1.0009491951343474,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` ASC,Project the capcolor ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.61e-05,"SELECT capcolor -FROM mushrooms -ORDER BY capcolor ASC;","To fetch the ordered list of `capcolor` from the `mushrooms` table in ascending order, you can use the following SQL code: - -```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor ASC; -```",1.0873894691,gpt-4o-mini,715,0.9884769634221887,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` DESC,Project the capcolor ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.81e-05,"SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC;","```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC; -```",0.9223906994,gpt-4o-mini,716,1.0447431158708753,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `sex` FROM `adultCensus`,Show all sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.145e-05,SELECT DISTINCT sex FROM adultCensus;,"To fetch all unique entries for the ""sex"" column from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT DISTINCT sex FROM adultCensus; -```",0.9352989197,gpt-4o-mini,717,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `hoursperweek` FROM `adultCensus`,Show all hoursperweek in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.555e-05,SELECT hoursperweek FROM adultCensus;,"```sql -SELECT hoursperweek FROM adultCensus; -```",0.5357599258,gpt-4o-mini,718,0.9762636842971893,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `workclass` FROM `adultCensus`,Show all workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.54e-05,SELECT DISTINCT workclass FROM adultCensus;,"```sql -SELECT DISTINCT workclass FROM adultCensus; -```",0.6103830338,gpt-4o-mini,719,0.0,1.0,1.0,0.0,0.3,0.5,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.92e-05,SELECT DISTINCT maritalstatus FROM adultCensus;,"To show all unique marital statuses in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT maritalstatus FROM adultCensus; -```",0.8649795055,gpt-4o-mini,720,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `education` FROM `adultCensus`,Show all education in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.405e-05,SELECT education FROM adultCensus;,"```sql -SELECT education FROM adultCensus; -```",0.8267664909,gpt-4o-mini,721,1.014373989656822,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-ALL,SELECT * FROM `adultCensus`,Show all the rows in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.42e-05,SELECT * FROM adultCensus;,"```sql -SELECT * FROM adultCensus; -```",0.511223793,gpt-4o-mini,722,1.0358809854713866,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.6e-05,"SELECT DISTINCT maritalstatus -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus -FROM adultCensus; -```",0.7890744209,gpt-4o-mini,723,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `race`, `nativecountry` FROM `adultCensus`","Show all race, nativecountry in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.63e-05,"SELECT race, nativecountry FROM adultCensus;","```sql -SELECT race, nativecountry FROM adultCensus; -```",0.5603842735,gpt-4o-mini,724,1.0641673463576842,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `nativecountry`, `occupation`, `race` FROM `adultCensus`","Show all nativecountry, occupation, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.78e-05,"SELECT nativecountry, occupation, race FROM adultCensus;","```sql -SELECT nativecountry, occupation, race FROM adultCensus; -```",0.5207953453,gpt-4o-mini,725,1.0054229305966123,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `income`, `education`, `race` FROM `adultCensus`","Show all occupation, income, education, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.915e-05,"SELECT occupation, income, education, race -FROM adultCensus;","```sql -SELECT occupation, income, education, race -FROM adultCensus; -```",1.0417084694,gpt-4o-mini,726,1.0284430436476704,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `race`, `relationship`, `workclass`, `maritalstatus` FROM `adultCensus`","Show all occupation, race, relationship, workclass, maritalstatus in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.355e-05,"SELECT occupation, race, relationship, workclass, maritalstatus -FROM adultCensus;","Here is the SQL code to fetch the required data from the `adultCensus` table: - -```sql -SELECT occupation, race, relationship, workclass, maritalstatus -FROM adultCensus; -```",0.711420536,gpt-4o-mini,727,0.9832146795769985,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education` FROM `adultCensus`","Show all sex, nativecountry, race, workclass, relationship, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.685e-05,"SELECT sex, nativecountry, race, workclass, relationship, education -FROM adultCensus;","To fetch the specified columns from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT sex, nativecountry, race, workclass, relationship, education -FROM adultCensus; -```",1.0727262497,gpt-4o-mini,728,1.0302133840256436,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, `relationship` FROM `adultCensus`","Show all income, education, sex, race, maritalstatus, occupation, relationship in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.76e-05,"SELECT income, education, sex, race, maritalstatus, occupation, relationship -FROM adultCensus;","To fetch the desired information from the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT income, education, sex, race, maritalstatus, occupation, relationship -FROM adultCensus; -```",1.1079692841,gpt-4o-mini,729,0.9982419310919329,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `maritalstatus`, `relationship`, `workclass`, `sex`, `nativecountry`, `hoursperweek`, `income`, `education` FROM `adultCensus`","Show all maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.89e-05,"SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education -FROM adultCensus;","```sql -SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education -FROM adultCensus; -```",1.0152318478,gpt-4o-mini,730,1.0354202630873248,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `hoursperweek`, `race`, `maritalstatus`, `sex`, `relationship`, `nativecountry`, `income`, `occupation`, `workclass` FROM `adultCensus`","Show all hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.18e-05,"SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass -FROM adultCensus;","Here is the SQL code to fetch the specified columns from the `adultCensus` table: - -```sql -SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass -FROM adultCensus; -```",1.6244962215,gpt-4o-mini,731,1.0007305364284764,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `odor` FROM `mushrooms`,Show all odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.635e-05,SELECT DISTINCT odor FROM mushrooms;,"To show all unique odors in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT odor FROM mushrooms; -```",0.8790857792,gpt-4o-mini,732,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.405e-05,SELECT gillspacing FROM mushrooms;,"```sql -SELECT gillspacing FROM mushrooms; -```",0.675637722,gpt-4o-mini,733,1.0137815241217938,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capshape` FROM `mushrooms`,Show all capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.39e-05,SELECT DISTINCT capshape FROM mushrooms;,"```sql -SELECT DISTINCT capshape FROM mushrooms; -```",0.5562255383,gpt-4o-mini,734,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capsurface` FROM `mushrooms`,Show all capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.07e-05,SELECT DISTINCT capsurface FROM mushrooms;,"To fetch all the distinct values of `capsurface` from the `mushrooms` table, you can use the following SQL code: - -```sql -SELECT DISTINCT capsurface FROM mushrooms; -```",0.9867463112,gpt-4o-mini,735,0.0,1.0,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `bruises` FROM `mushrooms`,Show all bruises in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.25e-05,"SELECT * -FROM mushrooms -WHERE bruises = 'yes';","To fetch all rows from the ""mushrooms"" table where the bruises attribute is present, you can use the following SQL query: - -```sql -SELECT * -FROM mushrooms -WHERE bruises = 'yes'; -``` - -This SQL code will return all records from the ""mushrooms"" table where the ""bruises"" column indicates that the mushroom has bruises. Adjust the condition based on the appropriate value that signifies bruises in your database.",1.3825452328,gpt-4o-mini,736,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-ALL,SELECT * FROM `mushrooms`,Show all the rows in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.27e-05,SELECT * FROM mushrooms;,"```sql -SELECT * FROM mushrooms; -```",0.5458269119,gpt-4o-mini,737,1.2316731806587746,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.405e-05,SELECT gillspacing FROM mushrooms;,"```sql -SELECT gillspacing FROM mushrooms; -```",0.2972919941,gpt-4o-mini,738,1.047052314223214,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `class` FROM `mushrooms`","Show all odor, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.405e-05,"SELECT odor, class FROM mushrooms;","```sql -SELECT odor, class FROM mushrooms; -```",0.5138401985,gpt-4o-mini,739,1.0103326892986537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `gillattachment`, `gillspacing` FROM `mushrooms`","Show all capcolor, gillattachment, gillspacing in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.93e-05,"SELECT capcolor, gillattachment, gillspacing FROM mushrooms;","```sql -SELECT capcolor, gillattachment, gillspacing FROM mushrooms; -```",0.7809841633,gpt-4o-mini,740,1.0081411151831383,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `gillcolor`, `odor`, `gillattachment` FROM `mushrooms`","Show all capsurface, gillcolor, odor, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.08e-05,"SELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms;","```sql -SELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms; -```",0.6253995895,gpt-4o-mini,741,0.9616617462605507,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `gillcolor`, `bruises`, `gillsize`, `gillattachment` FROM `mushrooms`","Show all odor, gillcolor, bruises, gillsize, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.44e-05,"SELECT odor, gillcolor, bruises, gillsize, gillattachment -FROM mushrooms;","```sql -SELECT odor, gillcolor, bruises, gillsize, gillattachment -FROM mushrooms; -```",1.0223770142,gpt-4o-mini,742,1.0149476344272197,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor` FROM `mushrooms`","Show all capsurface, class, odor, gillcolor, bruises, capcolor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.58e-05,"SELECT capsurface, class, odor, gillcolor, bruises, capcolor -FROM mushrooms;","Here is the SQL code to fetch the specified columns from the ""mushrooms"" table: - -```sql -SELECT capsurface, class, odor, gillcolor, bruises, capcolor -FROM mushrooms; -```",0.6377675533,gpt-4o-mini,743,1.0242248155578626,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises` FROM `mushrooms`","Show all gillattachment, gillspacing, capshape, class, capsurface, odor, bruises in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.06e-05,"SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises -FROM mushrooms;","To retrieve the specified columns from the ""mushrooms"" table, you can use the following SQL code: - -```sql -SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises -FROM mushrooms; -```",1.1451628208,gpt-4o-mini,744,0.9932404772123519,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class` FROM `mushrooms`","Show all capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.04e-05,"SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class -FROM mushrooms;","```sql -SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class -FROM mushrooms; -```",1.1426072121,gpt-4o-mini,745,1.069042408751515,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor` FROM `mushrooms`","Show all capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.265e-05,"SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor -FROM mushrooms;","```sql -SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor -FROM mushrooms; -```",0.7527866364,gpt-4o-mini,746,1.0015922940665831,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` == 'Husband',Show the data of the table adultCensus where relationship is equal to Husband,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.775e-05,SELECT * FROM adultCensus WHERE relationship = 'Husband';,"To fetch the data from the `adultCensus` table where the `relationship` is equal to 'Husband', you can use the following SQL code: - -```sql -SELECT * FROM adultCensus WHERE relationship = 'Husband'; -```",0.9215369225,gpt-4o-mini,747,1.0448240565597855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Own-child',Show the data of the table adultCensus where relationship is different from Own-child,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.73e-05,"SELECT * -FROM adultCensus -WHERE relationship <> 'Own-child';","To retrieve the data from the `adultCensus` table where the relationship is different from ""Own-child"", you can use the following SQL code: - -```sql -SELECT * -FROM adultCensus -WHERE relationship <> 'Own-child'; -```",0.9397587776,gpt-4o-mini,748,0.9983495392076049,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Wife',Show the data of the table adultCensus where relationship not equal to Wife,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.895e-05,"SELECT * -FROM adultCensus -WHERE relationship != 'Wife';","To fetch the data from the `adultCensus` table where the `relationship` is not equal to 'Wife', you can use the following SQL code: - -```sql -SELECT * -FROM adultCensus -WHERE relationship != 'Wife'; -```",0.9219903946,gpt-4o-mini,749,1.0390962803119437,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` == 'Some-college',Show the data of the table adultCensus where education is equal to Some-college,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.945e-05,SELECT * FROM adultCensus WHERE education = 'Some-college';,"```sql -SELECT * FROM adultCensus WHERE education = 'Some-college'; -```",0.415769577,gpt-4o-mini,750,1.004613232042016,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != '10th',Show the data of the table adultCensus where education is different from 10th,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.885e-05,SELECT * FROM adultCensus WHERE education != '10th';,"```sql -SELECT * FROM adultCensus WHERE education != '10th'; -```",0.379224062,gpt-4o-mini,751,1.0074998072688504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != 'Masters',Show the data of the table adultCensus where education not equal to Masters,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.795e-05,SELECT * FROM adultCensus WHERE education != 'Masters';,"```sql -SELECT * FROM adultCensus WHERE education != 'Masters'; -```",0.7939441204,gpt-4o-mini,752,1.0072584862577476,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` == 'Germany',Show the data of the table adultCensus where nativecountry is equal to Germany,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.87e-05,SELECT * FROM adultCensus WHERE nativecountry = 'Germany';,"```sql -SELECT * FROM adultCensus WHERE nativecountry = 'Germany'; -```",0.7066204548,gpt-4o-mini,753,1.0144882723802597,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'United-States',Show the data of the table adultCensus where nativecountry is different from United-States,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.82e-05,SELECT * FROM adultCensus WHERE nativecountry != 'United-States';,"Here is the SQL code to fetch the data from the `adultCensus` table where `nativecountry` is different from 'United-States': - -```sql -SELECT * FROM adultCensus WHERE nativecountry != 'United-States'; -```",1.0104444027,gpt-4o-mini,754,1.004606660772402,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'Mexico',Show the data of the table adultCensus where nativecountry not equal to Mexico,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.87e-05,SELECT * FROM adultCensus WHERE nativecountry <> 'Mexico';,"```sql -SELECT * FROM adultCensus WHERE nativecountry <> 'Mexico'; -```",0.5145545006,gpt-4o-mini,755,1.001579234770261,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` > 40,Show the data of the table adultCensus where hoursperweek is greater than 40,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.02e-05,"SELECT * -FROM adultCensus -WHERE hoursperweek > 40;","```sql -SELECT * -FROM adultCensus -WHERE hoursperweek > 40; -```",0.6842558384,gpt-4o-mini,756,1.0112450804072004,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` < 60,Show the data of the table adultCensus where hoursperweek is less than 60,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.96e-05,SELECT * FROM adultCensus WHERE hoursperweek < 60;,"```sql -SELECT * FROM adultCensus WHERE hoursperweek < 60; -```",0.5655441284,gpt-4o-mini,757,1.006362028274293,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` == 'attached',Show the data of the table mushrooms where gillattachment is equal to attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.795e-05,SELECT * FROM mushrooms WHERE gillattachment = 'attached';,"```sql -SELECT * FROM mushrooms WHERE gillattachment = 'attached'; -```",0.3863329887,gpt-4o-mini,758,1.0329644688353126,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'attached',Show the data of the table mushrooms where gillattachment is different from attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.795e-05,SELECT * FROM mushrooms WHERE gillattachment <> 'attached';,"```sql -SELECT * FROM mushrooms WHERE gillattachment <> 'attached'; -```",0.5068943501,gpt-4o-mini,759,1.0015765175972973,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'free',Show the data of the table mushrooms where gillattachment not equal to free,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.795e-05,SELECT * FROM mushrooms WHERE gillattachment != 'free';,"```sql -SELECT * FROM mushrooms WHERE gillattachment != 'free'; -```",0.5643935204,gpt-4o-mini,760,0.9987035002856567,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` == 'narrow',Show the data of the table mushrooms where gillsize is equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.855e-05,SELECT * FROM mushrooms WHERE gillsize = 'narrow';,"```sql -SELECT * FROM mushrooms WHERE gillsize = 'narrow'; -```",0.8448953629,gpt-4o-mini,761,1.0244702138010804,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize is different from narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.855e-05,SELECT * FROM mushrooms WHERE gillsize <> 'narrow';,"```sql -SELECT * FROM mushrooms WHERE gillsize <> 'narrow'; -```",0.6764945984,gpt-4o-mini,762,1.0213718577550621,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize not equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.855e-05,SELECT * FROM mushrooms WHERE gillsize <> 'narrow';,"```sql -SELECT * FROM mushrooms WHERE gillsize <> 'narrow'; -```",0.7230012417,gpt-4o-mini,763,1.0104146295920449,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` == 'no',Show the data of the table mushrooms where bruises is equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.58e-05,SELECT * FROM mushrooms WHERE bruises = 'no';,"Here is the SQL code to fetch the data from the `mushrooms` table where the `bruises` column is equal to 'no': - -```sql -SELECT * FROM mushrooms WHERE bruises = 'no'; -```",0.6816914082,gpt-4o-mini,764,0.9724670566050662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises is different from no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.72e-05,SELECT * FROM mushrooms WHERE bruises != 'no';,"```sql -SELECT * FROM mushrooms WHERE bruises != 'no'; -```",0.9364564419,gpt-4o-mini,765,1.0089370413689902,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises not equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",3.72e-05,SELECT * FROM mushrooms WHERE bruises != 'no';,"```sql -SELECT * FROM mushrooms WHERE bruises != 'no'; -```",1.1522462368,gpt-4o-mini,766,1.015661551763376,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `race`) FROM `adultCensus`,How many different race are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT COUNT(DISTINCT race) AS different_races -FROM adultCensus;","To fetch the number of different races in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT race) AS different_races -FROM adultCensus; -```",0.7795419693,gpt-4o-mini,767,1.0216087226472574,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`,How many different nativecountry are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.835e-05,"SELECT COUNT(DISTINCT nativecountry) AS different_native_countries -FROM adultCensus;","To count the number of different `nativecountry` entries in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT nativecountry) AS different_native_countries -FROM adultCensus; -```",1.3232350349,gpt-4o-mini,768,0.9969656885279975,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `workclass`) FROM `adultCensus`,How many different workclass are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.655e-05,"SELECT COUNT(DISTINCT workclass) AS different_workclass_count -FROM adultCensus;","To fetch the number of different workclasses in the `adultCensus` table, you can use the following SQL code: - -```sql -SELECT COUNT(DISTINCT workclass) AS different_workclass_count -FROM adultCensus; -```",1.2967734337,gpt-4o-mini,769,1.0250086948471078,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `education`) FROM `adultCensus`,How many different education are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.14e-05,"SELECT COUNT(DISTINCT education) AS different_education_count -FROM adultCensus;","To find out how many different education levels are present in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT education) AS different_education_count -FROM adultCensus; -``` - -This will count the number of unique values in the `education` column of the `adultCensus` table.",1.8634991646,gpt-4o-mini,770,1.0604096961030134,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `income`) FROM `adultCensus`,How many different income are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.52e-05,"SELECT COUNT(DISTINCT income) AS different_income_count -FROM adultCensus;","To count the number of different income categories in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT income) AS different_income_count -FROM adultCensus; -```",3.0208849907,gpt-4o-mini,771,0.9976018773722293,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`hoursperweek`) FROM `adultCensus`,Find the maximum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.05e-05,"SELECT MAX(hoursperweek) AS max_hours_per_week -FROM adultCensus;","```sql -SELECT MAX(hoursperweek) AS max_hours_per_week -FROM adultCensus; -```",0.7915172577,gpt-4o-mini,772,1.047509481979153,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`hoursperweek`) FROM `adultCensus`,Find the minimum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.05e-05,"SELECT MIN(hoursperweek) AS minimum_hours_per_week -FROM adultCensus;","```sql -SELECT MIN(hoursperweek) AS minimum_hours_per_week -FROM adultCensus; -```",0.7841854095,gpt-4o-mini,773,1.006430203778256,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`hoursperweek`) FROM `adultCensus`,Find the average hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.05e-05,"SELECT AVG(hoursperweek) AS average_hours_per_week -FROM adultCensus;","```sql -SELECT AVG(hoursperweek) AS average_hours_per_week -FROM adultCensus; -```",0.7964420319,gpt-4o-mini,774,1.0130155328285946,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`,How many different capsurface are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.685e-05,"SELECT COUNT(DISTINCT capsurface) AS unique_capsurface_count -FROM mushrooms;","To find the number of different `capsurface` values in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT capsurface) AS unique_capsurface_count -FROM mushrooms; -```",0.6993815899,gpt-4o-mini,775,1.0370215776215905,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`,How many different gillattachment are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.08e-05,"SELECT COUNT(DISTINCT gillattachment) AS different_gillattachments -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillattachment) AS different_gillattachments -FROM mushrooms; -```",0.6841771603,gpt-4o-mini,776,1.0165911972303987,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `odor`) FROM `mushrooms`,How many different odor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.25e-05,SELECT COUNT(DISTINCT odor) AS different_odors FROM mushrooms;,"To count the number of different odors in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT odor) AS different_odors FROM mushrooms; -```",1.0260941982,gpt-4o-mini,777,1.0013543274424208,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`,How many different gillsize are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.88e-05,"SELECT COUNT(DISTINCT gillsize) AS different_gillsize_count -FROM mushrooms;","To retrieve the number of different `gillsize` values in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT gillsize) AS different_gillsize_count -FROM mushrooms; -```",1.2169730663,gpt-4o-mini,778,1.0236921089673192,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`,How many different gillcolor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.88e-05,"SELECT COUNT(DISTINCT gillcolor) AS distinct_gillcolor_count -FROM mushrooms;","To retrieve the number of different `gillcolor` values in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT gillcolor) AS distinct_gillcolor_count -FROM mushrooms; -```",1.0847601891,gpt-4o-mini,779,1.0171614138803045,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `devicetype` FROM `fitnessTrackers`,Show the different devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001075,"SELECT DISTINCT devicetype -FROM fitnessTrackers;","```sql -SELECT DISTINCT devicetype -FROM fitnessTrackers; -```",0.4836246967,gpt-3.5,0,1.0266849470592805,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `modelname` FROM `fitnessTrackers`,Show the different modelname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001055,"SELECT DISTINCT modelname -FROM fitnessTrackers;","```sql -SELECT DISTINCT modelname -FROM fitnessTrackers; -```",0.4037716389,gpt-3.5,1,1.0144516332820843,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `color` FROM `fitnessTrackers`,Show the different color in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT DISTINCT color -FROM fitnessTrackers;","```sql -SELECT DISTINCT color -FROM fitnessTrackers; -```",0.3252141476,gpt-3.5,2,1.0080906243920684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `display` FROM `fitnessTrackers`,Show the different display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT DISTINCT display -FROM fitnessTrackers;","```sql -SELECT DISTINCT display -FROM fitnessTrackers; -```",0.388199091,gpt-3.5,3,1.0013895432418272,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `brandname` FROM `fitnessTrackers`,Show the different brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001055,"SELECT DISTINCT brandname -FROM fitnessTrackers;","```sql -SELECT DISTINCT brandname -FROM fitnessTrackers; -```",0.5204668045,gpt-3.5,4,1.0037272634233885,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `transactionno` FROM `salesTransactions`,Show the different transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT DISTINCT transactionno -FROM salesTransactions;","```sql -SELECT DISTINCT transactionno -FROM salesTransactions; -```",0.2971255779,gpt-3.5,5,0.9967664138261599,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `date` FROM `salesTransactions`,Show the different date in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001015,"SELECT DISTINCT date -FROM salesTransactions;","```sql -SELECT DISTINCT date -FROM salesTransactions; -```",0.7008087635,gpt-3.5,6,1.0246095538686424,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productno` FROM `salesTransactions`,Show the different productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT DISTINCT productno -FROM salesTransactions;","```sql -SELECT DISTINCT productno -FROM salesTransactions; -```",0.4163982868,gpt-3.5,7,1.0091315710817783,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productname` FROM `salesTransactions`,Show the different productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT DISTINCT productname -FROM salesTransactions;","```sql -SELECT DISTINCT productname -FROM salesTransactions; -```",0.527172327,gpt-3.5,8,1.0072629323986337,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `country` FROM `salesTransactions`,Show the different country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001015,"SELECT DISTINCT country -FROM salesTransactions;","```sql -SELECT DISTINCT country -FROM salesTransactions; -```",0.5180079937,gpt-3.5,9,0.9931516587091493,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `display`, COUNT(*) FROM `fitnessTrackers` GROUP BY `display`","For each display, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000119,"SELECT display, COUNT(*) AS num_rows -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, COUNT(*) AS num_rows -FROM fitnessTrackers -GROUP BY display; -```",0.9690606594,gpt-3.5,10,0.9849924501137531,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `devicetype`, COUNT(*) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000126,"SELECT devicetype, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY devicetype; -```",1.055362463,gpt-3.5,11,0.9999748161900334,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `modelname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `modelname`","For each modelname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000121,"SELECT modelname, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY modelname;","```sql -SELECT modelname, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY modelname; -```",0.688924551,gpt-3.5,12,1.001162736538357,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `strapmaterial`, COUNT(*) FROM `fitnessTrackers` GROUP BY `strapmaterial`","For each strapmaterial, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001225,"SELECT strapmaterial, COUNT(*) AS num_rows -FROM fitnessTrackers -GROUP BY strapmaterial;","```sql -SELECT strapmaterial, COUNT(*) AS num_rows -FROM fitnessTrackers -GROUP BY strapmaterial; -```",0.5145921707,gpt-3.5,13,0.999652432174281,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `brandname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `brandname`","For each brandname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001225,"SELECT brandname, COUNT(*) as total_rows -FROM fitnessTrackers -GROUP BY brandname;","```sql -SELECT brandname, COUNT(*) as total_rows -FROM fitnessTrackers -GROUP BY brandname; -```",0.5257921219,gpt-3.5,14,1.0013966441090105,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001265,"SELECT devicetype, MIN(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MIN(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype; -```",0.4250090122,gpt-3.5,15,1.000228383626594,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000134,"SELECT devicetype, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY devicetype; -```",0.526655674,gpt-3.5,16,1.0093025807049074,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000125,"SELECT devicetype, AVG(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, AVG(sellingprice) -FROM fitnessTrackers -GROUP BY devicetype; -```",1.1539273262,gpt-3.5,17,1.0030414146533537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000131,"SELECT devicetype, SUM(sellingprice) AS total_sum -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, SUM(sellingprice) AS total_sum -FROM fitnessTrackers -GROUP BY devicetype; -```",0.5912401676,gpt-3.5,18,0.999754339246435,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000143,"SELECT devicetype, MIN(averagebatterylife) AS min_avg_batterylife -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MIN(averagebatterylife) AS min_avg_batterylife -FROM fitnessTrackers -GROUP BY devicetype; -```",0.6315391064,gpt-3.5,19,1.0214405420858266,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000143,"SELECT devicetype, MAX(averagebatterylife) as max_averagebatterylife -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, MAX(averagebatterylife) as max_averagebatterylife -FROM fitnessTrackers -GROUP BY devicetype; -```",0.5515487194,gpt-3.5,20,1.012581466341942,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001385,"SELECT devicetype, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY devicetype; -```",0.5118205547,gpt-3.5,21,1.0032309549293905,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00014,"SELECT devicetype, SUM(averagebatterylife) AS total_avg_battery_life -FROM fitnessTrackers -GROUP BY devicetype;","```sql -SELECT devicetype, SUM(averagebatterylife) AS total_avg_battery_life -FROM fitnessTrackers -GROUP BY devicetype; -```",0.6857728958,gpt-3.5,22,1.0088454174530066,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000127,"SELECT display, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY display; -```",0.6979112625,gpt-3.5,23,1.0042288372433241,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000127,"SELECT display, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY display; -```",0.9396073818,gpt-3.5,24,1.0084265073399885,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000127,"SELECT display, AVG(sellingprice) as avg_sellingprice -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, AVG(sellingprice) as avg_sellingprice -FROM fitnessTrackers -GROUP BY display; -```",0.4718487263,gpt-3.5,25,1.0170804325220573,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000127,"SELECT display, SUM(sellingprice) AS total_selling_price -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, SUM(sellingprice) AS total_selling_price -FROM fitnessTrackers -GROUP BY display; -```",0.9069576263,gpt-3.5,26,1.009171389641259,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000136,"SELECT display, MIN(averagebatterylife) AS min_averagebatterylife -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MIN(averagebatterylife) AS min_averagebatterylife -FROM fitnessTrackers -GROUP BY display; -```",0.6709020138,gpt-3.5,27,0.9977185423938157,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001255,"SELECT display, MAX(averagebatterylife) -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, MAX(averagebatterylife) -FROM fitnessTrackers -GROUP BY display; -```",0.5298695564,gpt-3.5,28,1.0108708908857182,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001315,"SELECT display, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, AVG(averagebatterylife) AS avg_battery_life -FROM fitnessTrackers -GROUP BY display; -```",0.5834152699,gpt-3.5,29,1.009501102247162,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000133,"SELECT display, SUM(averagebatterylife) AS total_average_battery_life -FROM fitnessTrackers -GROUP BY display;","```sql -SELECT display, SUM(averagebatterylife) AS total_average_battery_life -FROM fitnessTrackers -GROUP BY display; -```",0.5868299007,gpt-3.5,30,1.0205543875843255,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `transactionno`, COUNT(*) FROM `salesTransactions` GROUP BY `transactionno`","For each transactionno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001205,"SELECT transactionno, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY transactionno;","```sql -SELECT transactionno, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY transactionno; -```",0.7002322674,gpt-3.5,31,0.9932084993283331,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `date`, COUNT(*) FROM `salesTransactions` GROUP BY `date`","For each date, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000117,"SELECT date, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY date; -```",0.6559269428,gpt-3.5,32,1.002621034723613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productno`, COUNT(*) FROM `salesTransactions` GROUP BY `productno`","For each productno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000116,"SELECT productno, COUNT(*) -FROM salesTransactions -GROUP BY productno;","```sql -SELECT productno, COUNT(*) -FROM salesTransactions -GROUP BY productno; -```",0.3899512291,gpt-3.5,33,1.0420520005347704,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productname`, COUNT(*) FROM `salesTransactions` GROUP BY `productname`","For each productname, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000116,"SELECT productname, COUNT(*) -FROM salesTransactions -GROUP BY productname","```sql -SELECT productname, COUNT(*) -FROM salesTransactions -GROUP BY productname -```",0.5773220062,gpt-3.5,34,0.9844259228582499,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `country`, COUNT(*) FROM `salesTransactions` GROUP BY `country`","For each country, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000117,"SELECT country, COUNT(*) AS total_transactions -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, COUNT(*) AS total_transactions -FROM salesTransactions -GROUP BY country; -```",0.4916641712,gpt-3.5,35,0.9967512157298252,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT date, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY date; -```",0.4510874748,gpt-3.5,36,1.040628195074731,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT date, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY date","```sql -SELECT date, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY date -```",0.4410021305,gpt-3.5,37,0.9982997348286338,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT date, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY date; -```",0.5508267879,gpt-3.5,38,0.996218811573302,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT date, SUM(customerno) AS total_customers -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, SUM(customerno) AS total_customers -FROM salesTransactions -GROUP BY date; -```",0.8821713924,gpt-3.5,39,1.0393446300986176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT date, MIN(price) as min_price -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, MIN(price) as min_price -FROM salesTransactions -GROUP BY date; -```",0.6616868973,gpt-3.5,40,0.9972895302962224,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT date, MAX(price) AS max_price -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, MAX(price) AS max_price -FROM salesTransactions -GROUP BY date; -```",0.4275231361,gpt-3.5,41,1.0638291505944522,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT date, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY date; -```",0.5092010498,gpt-3.5,42,1.00369127821286,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT date, SUM(price) AS total_price -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, SUM(price) AS total_price -FROM salesTransactions -GROUP BY date; -```",0.4702312946,gpt-3.5,43,1.0347344595066537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT country, MIN(customerno) -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MIN(customerno) -FROM salesTransactions -GROUP BY country; -```",0.5982823372,gpt-3.5,44,1.0052706801108244,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT country, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY country; -```",0.3965628147,gpt-3.5,45,1.0104628960027255,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT country, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, AVG(customerno) AS avg_customerno -FROM salesTransactions -GROUP BY country; -```",0.4185223579,gpt-3.5,46,1.0844968304224003,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT country, SUM(customerno) AS total_customerno -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, SUM(customerno) AS total_customerno -FROM salesTransactions -GROUP BY country; -```",0.4860713482,gpt-3.5,47,1.019435731494551,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT country, MIN(price) AS min_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MIN(price) AS min_price -FROM salesTransactions -GROUP BY country; -```",0.4370491505,gpt-3.5,48,1.0061895037128226,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT country, MAX(price) AS max_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, MAX(price) AS max_price -FROM salesTransactions -GROUP BY country; -```",0.7508518696,gpt-3.5,49,1.0319562478662287,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT country, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY country; -```",0.4470984936,gpt-3.5,50,1.0142877073751306,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT country, SUM(price) AS total_price -FROM salesTransactions -GROUP BY country;","```sql -SELECT country, SUM(price) AS total_price -FROM salesTransactions -GROUP BY country; -```",0.4691309929,gpt-3.5,51,1.0049803272058468,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) >= 1,Find all the modelname that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001085,"SELECT DISTINCT modelname -FROM fitnessTrackers","```sql -SELECT DISTINCT modelname -FROM fitnessTrackers -```",0.3537755013,gpt-3.5,52,0.9819155224069938,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) <= 1,Find all the modelname that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001265,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1; -```",0.4564459324,gpt-3.5,53,0.9881217245011378,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) >= 1,Find all the color that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001065,"SELECT DISTINCT color -FROM fitnessTrackers","```sql -SELECT DISTINCT color -FROM fitnessTrackers -```",0.3354334831,gpt-3.5,54,0.9883290091381152,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) <= 1,Find all the color that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000123,"SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(*) <= 1;","```sql -SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(*) <= 1; -```",0.4781847,gpt-3.5,55,1.0217559572402828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) >= 4,Find all the display that have at least 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000123,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4","```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4 -```",1.0162031651,gpt-3.5,56,0.9875966570746963,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) <= 4,Find all the display that have at most 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000123,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) <= 4;","```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) <= 4; -```",0.7862665653,gpt-3.5,57,1.0103450182759444,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) >= 8.81,List the strapmaterial which average of averagebatterylife is at least 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000142,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81; -```",0.6469676495,gpt-3.5,58,1.0393498431268884,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) <= 8.81,List the strapmaterial which average of averagebatterylife is at most 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000142,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) <= 8.81;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) <= 8.81; -```",0.5562534332,gpt-3.5,59,1.0491255302960183,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) >= 32.4,List the strapmaterial which summation of averagebatterylife is at least 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001425,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4; -```",0.6594626904,gpt-3.5,60,1.011017855723245,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) <= 32.4,List the strapmaterial which summation of averagebatterylife is at most 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001425,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4 -```",0.6120116711,gpt-3.5,61,0.9833080754045278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) >= 19076.5,List the strapmaterial which average of sellingprice is at least 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000138,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5; -```",0.8696289062,gpt-3.5,62,1.0089747600858368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) <= 19076.5,List the strapmaterial which average of sellingprice is at most 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000138,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5; -```",0.9853124619,gpt-3.5,63,0.99935377002337,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) >= 82848.0,List the strapmaterial which summation of sellingprice is at least 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001385,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0; -```",0.5911884308,gpt-3.5,64,1.0335908831565177,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) <= 82848.0,List the strapmaterial which summation of sellingprice is at most 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001385,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0 -```",0.5987193584,gpt-3.5,65,1.0039540193261927,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) >= 8.1,List the modelname which average of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000142,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1 -```",0.8998842239,gpt-3.5,66,1.0060113371158421,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) <= 8.1,List the modelname which average of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000142,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1; -```",0.5293235779,gpt-3.5,67,1.040719172876171,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) >= 8.1,List the modelname which summation of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001425,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) >= 8.1","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) >= 8.1 -```",0.6702394485,gpt-3.5,68,1.010376112850275,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) <= 8.1,List the modelname which summation of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001425,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) <= 8.1","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) <= 8.1 -```",0.6207911968,gpt-3.5,69,0.9937822906550576,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) >= 20712.0,List the modelname which average of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000138,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0 -```",0.5762255192,gpt-3.5,70,1.0363530494803233,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) <= 20712.0,List the modelname which average of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000138,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0; -```",0.8962273598,gpt-3.5,71,1.0010409343783233,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) >= 20712.0,List the modelname which summation of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001385,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0; -```",0.6715655327,gpt-3.5,72,1.00914504027052,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) <= 20712.0,List the modelname which summation of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001385,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0; -```",0.6090123653,gpt-3.5,73,1.0296754072538852,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) >= 20,Find all the country that have at least 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000121,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) >= 20;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) >= 20; -```",11.097910881,gpt-3.5,74,0.9940460278334123,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) <= 20,Find all the country that have at most 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000121,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) <= 20;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) <= 20; -```",0.7387049198,gpt-3.5,75,1.0036981727911687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) >= 1,Find all the date that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001045,"SELECT DISTINCT date -FROM salesTransactions;","```sql -SELECT DISTINCT date -FROM salesTransactions; -```",0.3963937759,gpt-3.5,76,1.035513120904675,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) <= 1,Find all the date that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000121,"SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(*) <= 1;","```sql -SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(*) <= 1; -```",0.4714603424,gpt-3.5,77,0.9017768551731198,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) >= 1,Find all the transactionno that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001065,"SELECT DISTINCT transactionno -FROM salesTransactions","```sql -SELECT DISTINCT transactionno -FROM salesTransactions -```",0.3974061012,gpt-3.5,78,1.0942848043916082,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) <= 1,Find all the transactionno that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001245,"SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1;","```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1; -```",0.7408034801,gpt-3.5,79,1.0508075124187322,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`price`) <= 11.95,List the country which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000127,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95; -```",0.5073361397,gpt-3.5,80,1.0190231706072312,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) >= 238.94,List the country which summation of price is at least 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001275,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94; -```",0.5434412956,gpt-3.5,81,0.9901692043339035,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) <= 238.94,List the country which summation of price is at most 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001275,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94; -```",0.4638593197,gpt-3.5,82,0.9725972153935806,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) >= 15215.25,List the country which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000131,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25; -```",0.7150995731,gpt-3.5,83,1.019687574576247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) <= 15215.25,List the country which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000131,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25 -```",0.5336163044,gpt-3.5,84,0.9826092562500355,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) >= 304305.0,List the country which summation of customerno is at least 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001315,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0; -```",0.5582330227,gpt-3.5,85,1.0209308083457511,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) <= 304305.0,List the country which summation of customerno is at most 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001315,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0; -```",0.4678490162,gpt-3.5,86,0.9970027457108578,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) >= 11.95,List the productname which average of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001305,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95; -```",0.6989216805,gpt-3.5,87,1.008066381733813,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) <= 11.95,List the productname which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001305,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95; -```",0.7280151844,gpt-3.5,88,1.0459324627760938,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) >= 11.95,List the productname which summation of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000131,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95; -```",0.6855196953,gpt-3.5,89,1.0127732018352413,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) <= 11.95,List the productname which summation of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000131,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95; -```",0.546328783,gpt-3.5,90,0.9953448182830894,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) >= 15215.25,List the productname which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001345,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25 -```",1.0294458866,gpt-3.5,91,1.0232231376628196,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) <= 15215.25,List the productname which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001345,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) <= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) <= 15215.25; -```",0.7682414055,gpt-3.5,92,0.9915383884367659,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) >= 15215.25,List the productname which summation of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000135,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25; -```",1.0524437428,gpt-3.5,93,1.0015581053249765,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) <= 15215.25,List the productname which summation of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000135,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25 -```",0.7684938908,gpt-3.5,94,1.0081266470259345,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `brandname` FROM `fitnessTrackers` GROUP BY `brandname` HAVING COUNT(DISTINCT `devicetype`) = (SELECT COUNT(DISTINCT `devicetype`) FROM `fitnessTrackers`),What are the brandname with all the devicetype in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000153,"SELECT brandname -FROM fitnessTrackers -GROUP BY brandname -HAVING COUNT(DISTINCT devicetype) = (SELECT COUNT(DISTINCT devicetype) FROM fitnessTrackers)","```sql -SELECT brandname -FROM fitnessTrackers -GROUP BY brandname -HAVING COUNT(DISTINCT devicetype) = (SELECT COUNT(DISTINCT devicetype) FROM fitnessTrackers) -```",0.8456234932,gpt-3.5,95,1.0085310205876963,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `devicetype` FROM `fitnessTrackers` GROUP BY `devicetype` HAVING COUNT(DISTINCT `strapmaterial`) = (SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`),What are the devicetype with all the strapmaterial in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000153,"SELECT devicetype -FROM fitnessTrackers -GROUP BY devicetype -HAVING COUNT(DISTINCT strapmaterial) = (SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers)","```sql -SELECT devicetype -FROM fitnessTrackers -GROUP BY devicetype -HAVING COUNT(DISTINCT strapmaterial) = (SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers) -```",0.7505097389,gpt-3.5,96,1.0054398313242516,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING COUNT(DISTINCT `display`) = (SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`),What are the color with all the display in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000105,"SELECT DISTINCT color -FROM fitnessTrackers","```sql -SELECT DISTINCT color -FROM fitnessTrackers -```",0.7248780727,gpt-3.5,97,0.0,0.091,1.0,0.0,0.091,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the transactionno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001425,"SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions)","```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions) -```",0.7098863125,gpt-3.5,98,1.0071963844769585,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the date with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000106,"SELECT DISTINCT date, country -FROM salesTransactions;","```sql -SELECT DISTINCT date, country -FROM salesTransactions; -```",0.3886077404,gpt-3.5,99,0.0,0.95,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productno` FROM `salesTransactions` GROUP BY `productno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001425,"SELECT productno -FROM salesTransactions -GROUP BY productno -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions)","```sql -SELECT productno -FROM salesTransactions -GROUP BY productno -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions) -```",0.7719113827,gpt-3.5,100,0.9771310788968017,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productname with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001065,"SELECT DISTINCT productname, country FROM salesTransactions;","```sql -SELECT DISTINCT productname, country FROM salesTransactions; -```",0.3263607025,gpt-3.5,101,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` ASC,Show all data ordered by devicetype in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT * FROM fitnessTrackers -ORDER BY devicetype ASC;","```sql -SELECT * FROM fitnessTrackers -ORDER BY devicetype ASC; -```",0.40807271,gpt-3.5,102,0.991272780466098,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` DESC,Show all data ordered by devicetype in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT * -FROM fitnessTrackers -ORDER BY devicetype DESC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY devicetype DESC; -```",0.3688473701,gpt-3.5,103,1.0087090144398039,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` ASC,Show all data ordered by strapmaterial in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000114,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC; -```",0.3326399326,gpt-3.5,104,1.037124057957857,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` DESC,Show all data ordered by strapmaterial in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000114,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC; -```",0.453322649,gpt-3.5,105,1.0103459546697886,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` ASC,Project the sellingprice ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC;","```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC; -```",0.5312931538,gpt-3.5,106,1.0388101826455785,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` DESC,Project the sellingprice ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC;","```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC; -```",0.6369290352,gpt-3.5,107,1.0232758468746284,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` ASC,Project the color ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT color -FROM fitnessTrackers -ORDER BY color ASC;","```sql -SELECT color -FROM fitnessTrackers -ORDER BY color ASC; -```",0.3928179741,gpt-3.5,108,1.0068576143001908,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` DESC,Project the color ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT color -FROM fitnessTrackers -ORDER BY color DESC;","```sql -SELECT color -FROM fitnessTrackers -ORDER BY color DESC; -```",0.4810304642,gpt-3.5,109,1.0471641630040662,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` ASC,Show all data ordered by transactionno in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000109,SELECT * FROM salesTransactions ORDER BY transactionno ASC;,"```sql -SELECT * FROM salesTransactions ORDER BY transactionno ASC; -```",0.3408849239,gpt-3.5,110,1.018095219917989,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` DESC,Show all data ordered by transactionno in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000112,"SELECT * -FROM salesTransactions -ORDER BY transactionno DESC;","```sql -SELECT * -FROM salesTransactions -ORDER BY transactionno DESC; -```",0.7015676498,gpt-3.5,111,1.0141327694591273,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` ASC,Show all data ordered by price in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00011,"SELECT * -FROM salesTransactions -ORDER BY price ASC;","```sql -SELECT * -FROM salesTransactions -ORDER BY price ASC; -```",1.087584734,gpt-3.5,112,0.9952196030107671,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` DESC,Show all data ordered by price in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00011,"SELECT * -FROM salesTransactions -ORDER BY price DESC;","```sql -SELECT * -FROM salesTransactions -ORDER BY price DESC; -```",0.6110062599,gpt-3.5,113,1.0539611212776103,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` ASC,Project the productno ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001125,"SELECT productno -FROM salesTransactions -ORDER BY productno ASC;","```sql -SELECT productno -FROM salesTransactions -ORDER BY productno ASC; -```",0.4990386963,gpt-3.5,114,0.9921852373428224,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` DESC,Project the productno ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001125,"SELECT productno -FROM salesTransactions -ORDER BY productno DESC;","```sql -SELECT productno -FROM salesTransactions -ORDER BY productno DESC; -```",0.6039073467,gpt-3.5,115,1.0298033318860507,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` ASC,Project the quantity ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000109,"SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC;","```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC; -```",0.3804056644,gpt-3.5,116,1.0001579988872866,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` DESC,Project the quantity ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000109,"SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC;","```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC; -```",0.6181936264,gpt-3.5,117,1.001860349451788,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `originalprice` FROM `fitnessTrackers`,Show all originalprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT originalprice -FROM fitnessTrackers;","```sql -SELECT originalprice -FROM fitnessTrackers; -```",0.3703842163,gpt-3.5,118,1.0312717183696731,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `averagebatterylife` FROM `fitnessTrackers`,Show all averagebatterylife in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001095,"SELECT averagebatterylife -FROM fitnessTrackers;","```sql -SELECT averagebatterylife -FROM fitnessTrackers; -```",0.8489770889,gpt-3.5,119,1.029560325258934,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `devicetype` FROM `fitnessTrackers`,Show all devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001055,"SELECT devicetype -FROM fitnessTrackers","```sql -SELECT devicetype -FROM fitnessTrackers -```",0.4152190685,gpt-3.5,120,1.0043431191427579,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `display` FROM `fitnessTrackers`,Show all display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001015,"SELECT display -FROM fitnessTrackers;","```sql -SELECT display -FROM fitnessTrackers; -```",0.3860309124,gpt-3.5,121,1.0123365763519698,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `brandname` FROM `fitnessTrackers`,Show all brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT brandname -FROM fitnessTrackers;","```sql -SELECT brandname -FROM fitnessTrackers; -```",0.4268672466,gpt-3.5,122,1.013938846101115,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-ALL,SELECT * FROM `fitnessTrackers`,Show all the rows in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001005,SELECT * FROM fitnessTrackers;,"```sql -SELECT * FROM fitnessTrackers; -```",0.6749925613,gpt-3.5,123,0.9876666423723969,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,SELECT `sellingprice` FROM `fitnessTrackers`,Show all sellingprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001035,"SELECT sellingprice -FROM fitnessTrackers","```sql -SELECT sellingprice -FROM fitnessTrackers -```",0.3706531525,gpt-3.5,124,1.0097970190919412,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `averagebatterylife` FROM `fitnessTrackers`","Show all strapmaterial, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001155,"SELECT strapmaterial, averagebatterylife -FROM fitnessTrackers","```sql -SELECT strapmaterial, averagebatterylife -FROM fitnessTrackers -```",0.3339006901,gpt-3.5,125,1.0071994185863749,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `sellingprice`, `modelname`, `color` FROM `fitnessTrackers`","Show all sellingprice, modelname, color in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001135,"SELECT sellingprice, modelname, color -FROM fitnessTrackers;","```sql -SELECT sellingprice, modelname, color -FROM fitnessTrackers; -```",0.3513109684,gpt-3.5,126,1.0091134639200094,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `modelname`, `brandname`, `color`, `averagebatterylife` FROM `fitnessTrackers`","Show all modelname, brandname, color, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001255,"SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers;","```sql -SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers; -```",0.5135908127,gpt-3.5,127,1.0427427889254757,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `devicetype`, `modelname`, `brandname`, `averagebatterylife`, `display` FROM `fitnessTrackers`","Show all devicetype, modelname, brandname, averagebatterylife, display in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001335,"SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers;","```sql -SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers; -```",0.4475338459,gpt-3.5,128,0.998173865192904,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, `strapmaterial` FROM `fitnessTrackers`","Show all rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001375,"SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial -FROM fitnessTrackers;","```sql -SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial -FROM fitnessTrackers; -```",0.5435855389,gpt-3.5,129,0.988912492429249,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `rating`, `averagebatterylife`, `brandname`, `display`, `sellingprice`, `devicetype` FROM `fitnessTrackers`","Show all strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001435,"SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype -FROM fitnessTrackers;","```sql -SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype -FROM fitnessTrackers; -```",0.5600376129,gpt-3.5,130,1.001642615259641,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, `modelname` FROM `fitnessTrackers`","Show all averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001495,"SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname -FROM fitnessTrackers;","```sql -SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname -FROM fitnessTrackers; -```",0.5225050449,gpt-3.5,131,1.037098407499442,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `color`, `modelname`, `averagebatterylife`, `strapmaterial`, `display`, `brandname`, `sellingprice`, `devicetype`, `originalprice` FROM `fitnessTrackers`","Show all color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001555,"SELECT color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice -FROM fitnessTrackers;","```sql -SELECT color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice -FROM fitnessTrackers; -```",0.565341711,gpt-3.5,132,1.0180345542165383,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productno` FROM `salesTransactions`,Show all productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001015,"SELECT productno -FROM salesTransactions;","```sql -SELECT productno -FROM salesTransactions; -```",0.5020422935,gpt-3.5,133,1.0393223167615966,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `country` FROM `salesTransactions`,Show all country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000101,"SELECT DISTINCT country -FROM salesTransactions;","```sql -SELECT DISTINCT country -FROM salesTransactions; -```",0.4484512806,gpt-3.5,134,0.0,1.0,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `transactionno` FROM `salesTransactions`,Show all transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001015,"SELECT transactionno -FROM salesTransactions;","```sql -SELECT transactionno -FROM salesTransactions; -```",0.3258416653,gpt-3.5,135,1.0005410671114006,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `price` FROM `salesTransactions`,Show all price in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.95e-05,"SELECT price -FROM salesTransactions;","```sql -SELECT price -FROM salesTransactions; -```",0.3238363266,gpt-3.5,136,1.0223152409534988,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productname` FROM `salesTransactions`,Show all productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001015,"SELECT productname -FROM salesTransactions;","```sql -SELECT productname -FROM salesTransactions; -```",0.4849359989,gpt-3.5,137,1.0139929530964282,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-ALL,SELECT * FROM `salesTransactions`,Show all the rows in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.85e-05,SELECT * FROM salesTransactions;,"```sql -SELECT * FROM salesTransactions; -```",0.3120391369,gpt-3.5,138,1.0047313856081383,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,SELECT `quantity` FROM `salesTransactions`,Show all quantity in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.95e-05,"SELECT quantity -FROM salesTransactions;","```sql -SELECT quantity -FROM salesTransactions; -```",0.2828252316,gpt-3.5,139,1.0473982701678828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `productno` FROM `salesTransactions`","Show all price, productno in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001055,"SELECT price, productno -FROM salesTransactions;","```sql -SELECT price, productno -FROM salesTransactions; -```",0.4745352268,gpt-3.5,140,0.9524315050829997,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `customerno`, `date` FROM `salesTransactions`","Show all price, customerno, date in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001095,"SELECT price, customerno, date -FROM salesTransactions;","```sql -SELECT price, customerno, date -FROM salesTransactions; -```",0.9831151962,gpt-3.5,141,1.0058930363789882,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `customerno`, `quantity`, `productname` FROM `salesTransactions`","Show all productno, customerno, quantity, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001175,"SELECT productno, customerno, quantity, productname -FROM salesTransactions","```sql -SELECT productno, customerno, quantity, productname -FROM salesTransactions -```",0.6859276295,gpt-3.5,142,1.0214938870172434,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `date`, `quantity`, `productno`, `price`, `country` FROM `salesTransactions`","Show all date, quantity, productno, price, country in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001175,"SELECT date, quantity, productno, price, country -FROM salesTransactions;","```sql -SELECT date, quantity, productno, price, country -FROM salesTransactions; -```",0.4609565735,gpt-3.5,143,0.9972699364522283,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `price`, `country`, `customerno`, `transactionno`, `productname` FROM `salesTransactions`","Show all productno, price, country, customerno, transactionno, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001275,"SELECT productno, price, country, customerno, transactionno, productname -FROM salesTransactions","```sql -SELECT productno, price, country, customerno, transactionno, productname -FROM salesTransactions -```",0.443508625,gpt-3.5,144,1.0106443431169443,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity` FROM `salesTransactions`","Show all price, date, transactionno, productno, customerno, country, quantity in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001295,"SELECT price, date, transactionno, productno, customerno, country, quantity -FROM salesTransactions;","```sql -SELECT price, date, transactionno, productno, customerno, country, quantity -FROM salesTransactions; -```",0.9034683704,gpt-3.5,145,1.0335614975352676,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` == 'White ',Show the data of the table fitnessTrackers where color is equal to White ,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000112,"SELECT * -FROM fitnessTrackers -WHERE color = 'White';","```sql -SELECT * -FROM fitnessTrackers -WHERE color = 'White'; -```",0.5243375301,gpt-3.5,146,0.0,0.1,0.1,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color is different from Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000112,"SELECT * -FROM fitnessTrackers -WHERE color != 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color != 'Black'; -```",0.5401566029,gpt-3.5,147,1.018749384723491,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color not equal to Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001135,"SELECT * -FROM fitnessTrackers -WHERE color <> 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color <> 'Black'; -```",0.392693758,gpt-3.5,148,1.008313778206132,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` == 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is equal to Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000127,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane'; -```",1.7155761719,gpt-3.5,149,0.8547367025512259,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is different from Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001255,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial <> 'Thermoplastic polyurethane';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial <> 'Thermoplastic polyurethane'; -```",0.7972152233,gpt-3.5,150,1.0283933362583462,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Aluminium',Show the data of the table fitnessTrackers where strapmaterial not equal to Aluminium,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001155,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium'","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium' -```",0.4012258053,gpt-3.5,151,1.0585832204218075,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` == 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is equal to TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001195,"SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display'; -```",0.3705329895,gpt-3.5,152,0.9978351897053019,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is different from TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000121,"SELECT * -FROM fitnessTrackers -WHERE display <> 'TFT-LCD Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display <> 'TFT-LCD Display'; -```",0.5600857735,gpt-3.5,153,1.0056375623379685,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'AMOLED Display',Show the data of the table fitnessTrackers where display not equal to AMOLED Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000118,"SELECT * -FROM fitnessTrackers -WHERE display <> 'AMOLED Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display <> 'AMOLED Display'; -```",0.9299974442,gpt-3.5,154,1.010447378527898,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `averagebatterylife` > 14,Show the data of the table fitnessTrackers where averagebatterylife is greater than 14,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14;","```sql -SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14; -```",0.6434805393,gpt-3.5,155,1.014145003306925,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` > 45690.0,Show the data of the table fitnessTrackers where sellingprice is greater than 45690.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001205,"SELECT * FROM fitnessTrackers -WHERE sellingprice > 45690.0;","```sql -SELECT * FROM fitnessTrackers -WHERE sellingprice > 45690.0; -```",0.4663925171,gpt-3.5,156,1.0070243125752683,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` < 46990.0,Show the data of the table fitnessTrackers where sellingprice is less than 46990.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000122,"SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0; -```",0.4520983696,gpt-3.5,157,1.0020086105833728,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` > 4.6,Show the data of the table fitnessTrackers where rating is greater than 4.6,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001165,"SELECT * -FROM fitnessTrackers -WHERE rating > 4.6;","```sql -SELECT * -FROM fitnessTrackers -WHERE rating > 4.6; -```",0.4191060066,gpt-3.5,158,0.9869175317662875,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0,Show the data of the table fitnessTrackers where rating is less than 4.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000118,"SELECT * -FROM fitnessTrackers -WHERE rating < 4.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE rating < 4.0; -```",0.5277502537,gpt-3.5,159,0.9994882045022211,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` == '12/1/2018',Show the data of the table salesTransactions where date is equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001205,"SELECT * FROM salesTransactions -WHERE date = '12/1/2018';","```sql -SELECT * FROM salesTransactions -WHERE date = '12/1/2018'; -```",0.6685962677,gpt-3.5,160,1.0195182236684606,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '9/15/2019',Show the data of the table salesTransactions where date is different from 9/15/2019,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001205,"SELECT * FROM salesTransactions -WHERE date != '9/15/2019';","```sql -SELECT * FROM salesTransactions -WHERE date != '9/15/2019'; -```",0.4794020653,gpt-3.5,161,1.0002510565335174,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '12/1/2018',Show the data of the table salesTransactions where date not equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001205,"SELECT * FROM salesTransactions -WHERE date <> '12/1/2018';","```sql -SELECT * FROM salesTransactions -WHERE date <> '12/1/2018'; -```",1.0075695515,gpt-3.5,162,1.0470088231939565,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` == '566959',Show the data of the table salesTransactions where transactionno is equal to 566959,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT * -FROM salesTransactions -WHERE transactionno = '566959';","```sql -SELECT * -FROM salesTransactions -WHERE transactionno = '566959'; -```",0.4601607323,gpt-3.5,163,1.0102088356441365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '579557',Show the data of the table salesTransactions where transactionno is different from 579557,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT * FROM salesTransactions -WHERE transactionno != '579557';","```sql -SELECT * FROM salesTransactions -WHERE transactionno != '579557'; -```",0.4285218716,gpt-3.5,164,1.0392208291805334,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '549047',Show the data of the table salesTransactions where transactionno not equal to 549047,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000113,SELECT * FROM salesTransactions WHERE transactionno != '549047';,"```sql -SELECT * FROM salesTransactions WHERE transactionno != '549047'; -```",0.4847309589,gpt-3.5,165,1.0084891706593997,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` == 'Metal-4-Hook-Hanger-French-Chateau',Show the data of the table salesTransactions where productname is equal to Metal-4-Hook-Hanger-French-Chateau,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000132,"SELECT * FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';","```sql -SELECT * FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau'; -```",0.482448101,gpt-3.5,166,1.01754027749244,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Skulls-Water-Transfer-Tattoos',Show the data of the table salesTransactions where productname is different from Skulls-Water-Transfer-Tattoos,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000128,"SELECT * -FROM salesTransactions -WHERE productname <> 'Skulls-Water-Transfer-Tattoos';","```sql -SELECT * -FROM salesTransactions -WHERE productname <> 'Skulls-Water-Transfer-Tattoos'; -```",0.492934227,gpt-3.5,167,1.0097012467278175,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Pink-Party-Bags',Show the data of the table salesTransactions where productname not equal to Pink-Party-Bags,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001215,"SELECT * -FROM salesTransactions -WHERE productname <> 'Pink-Party-Bags'","```sql -SELECT * -FROM salesTransactions -WHERE productname <> 'Pink-Party-Bags' -```",0.6857476234,gpt-3.5,168,0.9922475436515759,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` > 13.27,Show the data of the table salesTransactions where price is greater than 13.27,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000116,"SELECT * -FROM salesTransactions -WHERE price > 13.27;","```sql -SELECT * -FROM salesTransactions -WHERE price > 13.27; -```",0.8156254292,gpt-3.5,169,1.0253574575018558,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` < 6.19,Show the data of the table salesTransactions where price is less than 6.19,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001145,"SELECT * FROM salesTransactions -WHERE price < 6.19;","```sql -SELECT * FROM salesTransactions -WHERE price < 6.19; -```",0.4274818897,gpt-3.5,170,1.016423231342628,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` > 2,Show the data of the table salesTransactions where quantity is greater than 2,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000112,"SELECT * -FROM salesTransactions -WHERE quantity > 2;","```sql -SELECT * -FROM salesTransactions -WHERE quantity > 2; -```",0.5374839306,gpt-3.5,171,0.9993882748509281,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` < 1,Show the data of the table salesTransactions where quantity is less than 1,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000112,"SELECT * -FROM salesTransactions -WHERE quantity < 1;","```sql -SELECT * -FROM salesTransactions -WHERE quantity < 1; -```",0.7493157387,gpt-3.5,172,1.0169785069248776,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` > 14001.0,Show the data of the table salesTransactions where customerno is greater than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001185,"SELECT * FROM salesTransactions -WHERE customerno > 14001.0;","```sql -SELECT * FROM salesTransactions -WHERE customerno > 14001.0; -```",0.6871087551,gpt-3.5,173,1.0112018154458666,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` < 14001.0,Show the data of the table salesTransactions where customerno is less than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00012,"SELECT * -FROM salesTransactions -WHERE customerno < 14001.0;","```sql -SELECT * -FROM salesTransactions -WHERE customerno < 14001.0; -```",0.708823204,gpt-3.5,174,1.0482513381016307,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`,How many different strapmaterial are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000119,"SELECT COUNT(DISTINCT strapmaterial) AS num_strapmaterial -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT strapmaterial) AS num_strapmaterial -FROM fitnessTrackers; -```",0.637055397,gpt-3.5,175,1.0059844375396316,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `brandname`) FROM `fitnessTrackers`,How many different brandname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000119,"SELECT COUNT(DISTINCT brandname) AS num_different_brandname -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT brandname) AS num_different_brandname -FROM fitnessTrackers; -```",1.1765618324,gpt-3.5,176,0.9512002503353599,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `modelname`) FROM `fitnessTrackers`,How many different modelname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000116,"SELECT COUNT(DISTINCT modelname) AS total_models -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT modelname) AS total_models -FROM fitnessTrackers; -```",0.7120625973,gpt-3.5,177,0.984631481631821,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `color`) FROM `fitnessTrackers`,How many different color are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000114,"SELECT COUNT(DISTINCT color) AS num_color -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT color) AS num_color -FROM fitnessTrackers; -```",0.467846632,gpt-3.5,178,1.012573083036778,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`,How many different display are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001155,"SELECT COUNT(DISTINCT display) AS different_displays -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT display) AS different_displays -FROM fitnessTrackers; -```",0.4993271828,gpt-3.5,179,0.9448895495402441,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`rating`) FROM `fitnessTrackers`,Find the maximum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT MAX(rating) AS max_rating -FROM fitnessTrackers;","```sql -SELECT MAX(rating) AS max_rating -FROM fitnessTrackers; -```",0.849301815,gpt-3.5,180,1.0101848893031231,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`rating`) FROM `fitnessTrackers`,Find the minimum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT MIN(rating) AS min_rating -FROM fitnessTrackers;","```sql -SELECT MIN(rating) AS min_rating -FROM fitnessTrackers; -```",0.4750976562,gpt-3.5,181,0.9918573779087153,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`rating`) FROM `fitnessTrackers`,Find the average rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT AVG(rating) AS average_rating -FROM fitnessTrackers;","```sql -SELECT AVG(rating) AS average_rating -FROM fitnessTrackers; -```",0.4122369289,gpt-3.5,182,0.9880525812559359,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`originalprice`) FROM `fitnessTrackers`,Find the maximum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000107,"SELECT MAX(originalprice) -FROM fitnessTrackers;","```sql -SELECT MAX(originalprice) -FROM fitnessTrackers; -```",0.3513703346,gpt-3.5,183,1.0496102828102813,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`originalprice`) FROM `fitnessTrackers`,Find the minimum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000113,"SELECT MIN(originalprice) AS min_originalprice -FROM fitnessTrackers;","```sql -SELECT MIN(originalprice) AS min_originalprice -FROM fitnessTrackers; -```",0.5988566875,gpt-3.5,184,1.0271544927936607,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`originalprice`) FROM `fitnessTrackers`,Find the average originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000113,"SELECT AVG(originalprice) AS average_originalprice -FROM fitnessTrackers;","```sql -SELECT AVG(originalprice) AS average_originalprice -FROM fitnessTrackers; -```",0.4273622036,gpt-3.5,185,1.0154958627073243,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `transactionno`) FROM `salesTransactions`,How many different transactionno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001095,"SELECT COUNT(DISTINCT transactionno) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT transactionno) -FROM salesTransactions; -```",0.5742301941,gpt-3.5,186,1.0421173895329863,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `date`) FROM `salesTransactions`,How many different date are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000112,"SELECT COUNT(DISTINCT date) AS num_dates -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT date) AS num_dates -FROM salesTransactions; -```",0.7650880814,gpt-3.5,187,0.9632133167323649,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productno`) FROM `salesTransactions`,How many different productno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000117,"SELECT COUNT(DISTINCT productno) AS num_different_productno -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT productno) AS num_different_productno -FROM salesTransactions; -```",0.4526088238,gpt-3.5,188,1.012194239116541,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productname`) FROM `salesTransactions`,How many different productname are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001155,"SELECT COUNT(DISTINCT productname) AS num_different_products -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT productname) AS num_different_products -FROM salesTransactions; -```",0.5055572987,gpt-3.5,189,1.0140612084516694,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`,How many different country are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000112,"SELECT COUNT(DISTINCT country) as numOfCountries -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT country) as numOfCountries -FROM salesTransactions; -```",0.4359755516,gpt-3.5,190,1.0074949128111013,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`price`) FROM `salesTransactions`,Find the maximum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001075,"SELECT MAX(price) AS max_price -FROM salesTransactions;","```sql -SELECT MAX(price) AS max_price -FROM salesTransactions; -```",0.477632761,gpt-3.5,191,1.0155680037848371,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`price`) FROM `salesTransactions`,Find the minimum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001075,"SELECT MIN(price) AS minimum_price -FROM salesTransactions;","```sql -SELECT MIN(price) AS minimum_price -FROM salesTransactions; -```",0.5192015171,gpt-3.5,192,1.0133921958339354,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`price`) FROM `salesTransactions`,Find the average price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001075,"SELECT AVG(price) AS average_price -FROM salesTransactions;","```sql -SELECT AVG(price) AS average_price -FROM salesTransactions; -```",0.3916311264,gpt-3.5,193,1.0017802510340623,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`customerno`) FROM `salesTransactions`,Find the maximum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT MAX(customerno) AS max_customerno -FROM salesTransactions;","```sql -SELECT MAX(customerno) AS max_customerno -FROM salesTransactions; -```",0.4981360435,gpt-3.5,194,0.9727181304446167,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`customerno`) FROM `salesTransactions`,Find the minimum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT MIN(customerno) AS min_customerno -FROM salesTransactions;","```sql -SELECT MIN(customerno) AS min_customerno -FROM salesTransactions; -```",0.5801098347,gpt-3.5,195,1.044461625858966,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`customerno`) FROM `salesTransactions`,Find the average customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000111,"SELECT AVG(customerno) as avg_customerno -FROM salesTransactions;","```sql -SELECT AVG(customerno) as avg_customerno -FROM salesTransactions; -```",0.4910655022,gpt-3.5,196,1.0112522014568215,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paymenttype` FROM `accountFraud`,Show the different paymenttype in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT DISTINCT paymenttype -FROM accountFraud;","```sql -SELECT DISTINCT paymenttype -FROM accountFraud; -```",0.4180114269,gpt-3.5,197,0.983856743331967,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `housingstatus` FROM `accountFraud`,Show the different housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT DISTINCT housingstatus -FROM accountFraud;","```sql -SELECT DISTINCT housingstatus -FROM accountFraud; -```",0.4098100662,gpt-3.5,198,1.011921505866227,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `deviceos` FROM `accountFraud`,Show the different deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT DISTINCT deviceos -FROM accountFraud;","```sql -SELECT DISTINCT deviceos -FROM accountFraud; -```",0.5400691032,gpt-3.5,199,0.98926111871026,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `emailisfree` FROM `accountFraud`,Show the different emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000124,"SELECT DISTINCT emailisfree -FROM accountFraud;","```sql -SELECT DISTINCT emailisfree -FROM accountFraud; -```",0.4108302593,gpt-3.5,200,1.0153328830723891,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hasothercards` FROM `accountFraud`,Show the different hasothercards in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000124,"SELECT DISTINCT hasothercards -FROM accountFraud;","```sql -SELECT DISTINCT hasothercards -FROM accountFraud; -```",0.3244440556,gpt-3.5,201,1.0070325923838006,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `customerid` FROM `latePayment`,Show the different customerid in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00012,"SELECT DISTINCT customerid -FROM latePayment;","```sql -SELECT DISTINCT customerid -FROM latePayment; -```",0.3631000519,gpt-3.5,202,1.017662649933249,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `invoicedate` FROM `latePayment`,Show the different invoicedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT DISTINCT invoicedate -FROM latePayment","```sql -SELECT DISTINCT invoicedate -FROM latePayment -```",0.5171046257,gpt-3.5,203,0.9775225833157132,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `duedate` FROM `latePayment`,Show the different duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT DISTINCT duedate -FROM latePayment;","```sql -SELECT DISTINCT duedate -FROM latePayment; -```",0.4139533043,gpt-3.5,204,1.0005256343528421,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paperlessbill` FROM `latePayment`,Show the different paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT DISTINCT paperlessbill -FROM latePayment;","```sql -SELECT DISTINCT paperlessbill -FROM latePayment; -```",0.5663285255,gpt-3.5,205,1.0513942835033256,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `disputed` FROM `latePayment`,Show the different disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001165,SELECT DISTINCT disputed FROM latePayment;,"```sql -SELECT DISTINCT disputed FROM latePayment; -```",0.3139543533,gpt-3.5,206,1.0103664975249287,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `employmentstatus`, COUNT(*) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000139,"SELECT employmentstatus, COUNT(*) as num_rows -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, COUNT(*) as num_rows -FROM accountFraud -GROUP BY employmentstatus; -```",0.4127554893,gpt-3.5,207,1.0267788259895916,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `deviceos`, COUNT(*) FROM `accountFraud` GROUP BY `deviceos`","For each deviceos, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT deviceos, COUNT(*) AS count_accountFraud -FROM accountFraud -GROUP BY deviceos;","```sql -SELECT deviceos, COUNT(*) AS count_accountFraud -FROM accountFraud -GROUP BY deviceos; -```",0.5954430103,gpt-3.5,208,1.011081905780921,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `emailisfree`, COUNT(*) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001425,"SELECT emailisfree, COUNT(*) as num_rows -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, COUNT(*) as num_rows -FROM accountFraud -GROUP BY emailisfree; -```",0.4816253185,gpt-3.5,209,1.0012419598348563,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `hasothercards`, COUNT(*) FROM `accountFraud` GROUP BY `hasothercards`","For each hasothercards, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001425,"SELECT hasothercards, COUNT(*) AS num_rows -FROM accountFraud -GROUP BY hasothercards;","```sql -SELECT hasothercards, COUNT(*) AS num_rows -FROM accountFraud -GROUP BY hasothercards; -```",1.2049064636,gpt-3.5,210,0.9962384011547274,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `housingstatus`, COUNT(*) FROM `accountFraud` GROUP BY `housingstatus`","For each housingstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001375,"SELECT housingstatus, COUNT(*) AS count -FROM accountFraud -GROUP BY housingstatus;","```sql -SELECT housingstatus, COUNT(*) AS count -FROM accountFraud -GROUP BY housingstatus; -```",0.7932984829,gpt-3.5,211,1.0034934887726863,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000165,"SELECT emailisfree, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY emailisfree; -```",1.2188005447,gpt-3.5,212,1.0137587058328743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001575,"SELECT emailisfree, MAX(dateofbirthdistinctemails4w) AS max_dob -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MAX(dateofbirthdistinctemails4w) AS max_dob -FROM accountFraud -GROUP BY emailisfree; -```",0.6640799046,gpt-3.5,213,1.0082419788486343,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000159,"SELECT emailisfree, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirth -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirth -FROM accountFraud -GROUP BY emailisfree; -```",0.6188144684,gpt-3.5,214,0.9945575084689801,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001515,"SELECT emailisfree, SUM(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, SUM(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY emailisfree; -```",0.5636694431,gpt-3.5,215,1.0062835369840344,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001495,"SELECT emailisfree, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY emailisfree; -```",0.882689476,gpt-3.5,216,1.0076816570243783,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001495,"SELECT emailisfree, MAX(sessionlengthminutes) AS max_sessionlength -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MAX(sessionlengthminutes) AS max_sessionlength -FROM accountFraud -GROUP BY emailisfree; -```",0.4650638103,gpt-3.5,217,1.0438535421627793,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001495,"SELECT emailisfree, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY emailisfree; -```",0.736679554,gpt-3.5,218,1.0003148479505564,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT emailisfree, SUM(sessionlengthminutes) -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, SUM(sessionlengthminutes) -FROM accountFraud -GROUP BY emailisfree; -```",0.5153970718,gpt-3.5,219,1.0013558707641008,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000163,"SELECT employmentstatus, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM accountFraFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM accountFraFraud -GROUP BY employmentstatus; -```",0.7419044971,gpt-3.5,220,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000148,"SELECT employmentstatus, MAX(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, MAX(dateofbirthdistinctemails4w) -FROM accountFraud -GROUP BY employmentstatus; -```",0.5140113831,gpt-3.5,221,0.9869575899371724,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001615,"SELECT employmentstatus, AVG(dateofbirthdistinctemails4w) as avg_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, AVG(dateofbirthdistinctemails4w) as avg_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus; -```",0.5720801353,gpt-3.5,222,1.0152794654324304,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001615,"SELECT employmentstatus, SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w -FROM accountFraud -GROUP BY employmentstatus; -```",1.8081624508,gpt-3.5,223,1.0062439162921666,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000146,"SELECT employmentstatus, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, MIN(sessionlengthminutes) AS min_sessionlength -FROM accountFraud -GROUP BY employmentstatus; -```",0.8199579716,gpt-3.5,224,1.0193437148460498,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000146,"SELECT employmentstatus, MAX(sessionlengthminutes) AS max_sessionlength -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, MAX(sessionlengthminutes) AS max_sessionlength -FROM accountFraud -GROUP BY employmentstatus; -```",0.4798004627,gpt-3.5,225,1.0061254675924893,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000146,"SELECT employmentstatus, AVG(sessionlengthminutes) AS avg_sessionlength -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, AVG(sessionlengthminutes) AS avg_sessionlength -FROM accountFraud -GROUP BY employmentstatus; -```",0.4552550316,gpt-3.5,226,1.0350736909412206,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000146,"SELECT employmentstatus, SUM(sessionlengthminutes) AS total_sessionlength -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, SUM(sessionlengthminutes) AS total_sessionlength -FROM accountFraud -GROUP BY employmentstatus; -```",0.6137368679,gpt-3.5,227,0.9932174173314652,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessdate`, COUNT(*) FROM `latePayment` GROUP BY `paperlessdate`","For each paperlessdate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000136,"SELECT paperlessdate, COUNT(*) -FROM latePayment -GROUP BY paperlessdate;","```sql -SELECT paperlessdate, COUNT(*) -FROM latePayment -GROUP BY paperlessdate; -```",0.8022651672,gpt-3.5,228,0.9859668537483682,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessbill`, COUNT(*) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT paperlessbill, COUNT(*) AS latePaymentCount -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, COUNT(*) AS latePaymentCount -FROM latePayment -GROUP BY paperlessbill; -```",0.5472154617,gpt-3.5,229,1.0327653124523586,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `customerid`, COUNT(*) FROM `latePayment` GROUP BY `customerid`","For each customerid, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001385,"SELECT customerid, COUNT(*) AS latePaymentCount -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, COUNT(*) AS latePaymentCount -FROM latePayment -GROUP BY customerid; -```",0.511436224,gpt-3.5,230,1.01511929898938,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `duedate`, COUNT(*) FROM `latePayment` GROUP BY `duedate`","For each duedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT duedate, COUNT(*) as latePayment_count -FROM latePayment -GROUP BY duedate;","```sql -SELECT duedate, COUNT(*) as latePayment_count -FROM latePayment -GROUP BY duedate; -```",0.471303463,gpt-3.5,231,0.9853894254506191,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `invoicedate`, COUNT(*) FROM `latePayment` GROUP BY `invoicedate`","For each invoicedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT invoicedate, COUNT(*) AS latePayment_count -FROM latePayment -GROUP BY invoicedate;","```sql -SELECT invoicedate, COUNT(*) AS latePayment_count -FROM latePayment -GROUP BY invoicedate; -```",0.7043821812,gpt-3.5,232,1.016205499078288,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT paperlessbill, MIN(daystosettle) -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MIN(daystosettle) -FROM latePayment -GROUP BY paperlessbill; -```",0.582628727,gpt-3.5,233,1.0314586409768243,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001525,"SELECT paperlessbill, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY paperlessbill; -```",1.0401601791,gpt-3.5,234,1.007751814083855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001525,"SELECT paperlessbill, AVG(daystosettle) AS avg_daystosettle -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, AVG(daystosettle) AS avg_daystosettle -FROM latePayment -GROUP BY paperlessbill; -```",0.6942696571,gpt-3.5,235,0.9858671368972147,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001435,"SELECT paperlessbill, SUM(daystosettle) -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, SUM(daystosettle) -FROM latePayment -GROUP BY paperlessbill; -```",1.0852949619,gpt-3.5,236,1.003558547029732,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001395,"SELECT paperlessbill, MIN(dayslate) -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MIN(dayslate) -FROM latePayment -GROUP BY paperlessbill; -```",0.6579353809,gpt-3.5,237,1.0002525139126088,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000138,"SELECT paperlessbill, MAX(dayslate) -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, MAX(dayslate) -FROM latePayment -GROUP BY paperlessbill; -```",0.8998878002,gpt-3.5,238,1.0022744430141457,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001455,"SELECT paperlessbill, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY paperlessbill; -```",0.5079135895,gpt-3.5,239,1.00444329458805,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000138,"SELECT paperlessbill, SUM(dayslate) -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT paperlessbill, SUM(dayslate) -FROM latePayment -GROUP BY paperlessbill; -```",0.4620864391,gpt-3.5,240,0.991649272122543,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000149,"SELECT customerid, MIN(daystosettle) as min_daystosettle -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MIN(daystosettle) as min_daystosettle -FROM latePayment -GROUP BY customerid; -```",0.9860787392,gpt-3.5,241,1.0074949017785861,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000149,"SELECT customerid, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MAX(daystosettle) AS max_daystosettle -FROM latePayment -GROUP BY customerid; -```",0.6338090897,gpt-3.5,242,1.015145377430763,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000149,"SELECT customerid, AVG(daystosettle) AS average_daystosettle -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, AVG(daystosettle) AS average_daystosettle -FROM latePayment -GROUP BY customerid; -```",0.8090670109,gpt-3.5,243,1.0099645590966126,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000149,"SELECT customerid, SUM(daystosettle) AS total_daystosettle -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, SUM(daystosettle) AS total_daystosettle -FROM latePayment -GROUP BY customerid; -```",0.54677248,gpt-3.5,244,0.9972507772091417,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT customerid, MIN(dayslate) as min_dayslate -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MIN(dayslate) as min_dayslate -FROM latePayment -GROUP BY customerid; -```",0.4602472782,gpt-3.5,245,1.0141279053230445,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT customerid, MAX(dayslate) AS max_dayslate -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, MAX(dayslate) AS max_dayslate -FROM latePayment -GROUP BY customerid; -```",0.6024525166,gpt-3.5,246,0.9952336274506363,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT customerid, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, AVG(dayslate) AS avg_dayslate -FROM latePayment -GROUP BY customerid; -```",0.512834549,gpt-3.5,247,1.0062040144133373,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000142,"SELECT customerid, SUM(dayslate) AS total_dayslate -FROM latePayment -GROUP BY customerid;","```sql -SELECT customerid, SUM(dayslate) AS total_dayslate -FROM latePayment -GROUP BY customerid; -```",0.4823656082,gpt-3.5,248,1.001504518280669,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) >= 5,Find all the paymenttype that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000143,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5; -```",0.5323343277,gpt-3.5,249,0.9898179835862398,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) <= 5,Find all the paymenttype that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000143,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5; -```",0.5672609806,gpt-3.5,250,0.9814811408757618,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) >= 5,Find all the deviceos that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000143,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) >= 5","```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) >= 5 -```",0.6270709038,gpt-3.5,251,1.0086245149510744,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) <= 5,Find all the deviceos that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000143,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5","```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5 -```",0.4764783382,gpt-3.5,252,1.0277714899744883,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) >= 10,Find all the emailisfree that have at least 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001465,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) >= 10;","```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) >= 10; -```",0.6184411049,gpt-3.5,253,0.9968267944493931,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) <= 10,Find all the emailisfree that have at most 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001465,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) <= 10;","```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) <= 10; -```",0.4743232727,gpt-3.5,254,1.004677236425902,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) >= 141.44,List the hasothercards which average of creditriskscore is at least 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00016,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44 -```",0.4834465981,gpt-3.5,255,1.0365403765034198,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) <= 141.44,List the hasothercards which average of creditriskscore is at most 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00016,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) <= 141.44","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) <= 141.44 -```",0.8130922318,gpt-3.5,256,1.007079375993981,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) >= 1144.5,List the hasothercards which summation of creditriskscore is at least 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001625,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5; -```",0.6123752594,gpt-3.5,257,0.9890325621843727,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) <= 1144.5,List the hasothercards which summation of creditriskscore is at most 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000152,"SELECT hasothercards -FROM accountFraud -WHERE SUM(creditriskscore) <= 1144.5","```sql -SELECT hasothercards -FROM accountFraud -WHERE SUM(creditriskscore) <= 1144.5 -```",0.4980530739,gpt-3.5,258,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) >= 7.85,List the hasothercards which average of sessionlengthminutes is at least 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001565,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85; -```",1.7222669125,gpt-3.5,259,1.035481511275037,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) <= 7.85,List the hasothercards which average of sessionlengthminutes is at most 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001565,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85; -```",0.5220301151,gpt-3.5,260,1.0151113733644588,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) >= 58.5,List the hasothercards which summation of sessionlengthminutes is at least 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000157,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5;","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5; -```",0.6152687073,gpt-3.5,261,0.9941484719882026,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) <= 58.5,List the hasothercards which summation of sessionlengthminutes is at most 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001465,"SELECT hasothercards -FROM accountFraud -WHERE SUM(sessionlengthminutes) <= 58.5","```sql -SELECT hasothercards -FROM accountFraud -WHERE SUM(sessionlengthminutes) <= 58.5 -```",0.569129467,gpt-3.5,262,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) >= 109.56,List the paymenttype which average of creditriskscore is at least 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001565,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56; -```",0.5030748844,gpt-3.5,263,1.0068387182698788,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) <= 109.56,List the paymenttype which average of creditriskscore is at most 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001445,"SELECT DISTINCT paymenttype -FROM accountFraud -WHERE creditriskscore <= 109.56;","```sql -SELECT DISTINCT paymenttype -FROM accountFraud -WHERE creditriskscore <= 109.56; -```",1.2208790779,gpt-3.5,264,0.0,0.25,1.0,0.0,0.25,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) >= 572.25,List the paymenttype which summation of creditriskscore is at least 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000157,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25; -```",0.7028026581,gpt-3.5,265,1.0015838878983354,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) <= 572.25,List the paymenttype which summation of creditriskscore is at most 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000157,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25; -```",0.6468360424,gpt-3.5,266,1.0275211971700937,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) >= 5.45,List the paymenttype which average of sessionlengthminutes is at least 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000153,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45 -```",0.6009385586,gpt-3.5,267,0.9877402527233986,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) <= 5.45,List the paymenttype which average of sessionlengthminutes is at most 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000153,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45; -```",0.4989485741,gpt-3.5,268,1.0042093067081117,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) >= 29.25,List the paymenttype which summation of sessionlengthminutes is at least 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001535,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25; -```",1.0941104889,gpt-3.5,269,1.0170713788097592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) <= 29.25,List the paymenttype which summation of sessionlengthminutes is at most 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001535,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25; -```",0.5670661926,gpt-3.5,270,1.0035415055956427,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) >= 1,Find all the customerid that have at least 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000123,"SELECT DISTINCT customerid -FROM latePayment;","```sql -SELECT DISTINCT customerid -FROM latePayment; -```",0.4578354359,gpt-3.5,271,0.9945370668902085,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) <= 1,Find all the customerid that have at most 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000141,"SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(*) <= 1;","```sql -SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(*) <= 1; -```",0.831622839,gpt-3.5,272,1.0461896938697528,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) >= 10,Find all the disputed that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001375,"SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) >= 10","```sql -SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) >= 10 -```",0.5637471676,gpt-3.5,273,0.96269692472687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) <= 10,Find all the disputed that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001375,"SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10","```sql -SELECT disputed -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10 -```",0.4704763889,gpt-3.5,274,1.0076268580433156,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) >= 10,Find all the paperlessbill that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001445,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10;","```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10; -```",0.5174741745,gpt-3.5,275,1.026524268706063,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) <= 10,Find all the paperlessbill that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001445,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10","```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10 -```",0.7136166096,gpt-3.5,276,1.010364965603722,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) >= 2.95,List the invoicedate which average of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001525,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95; -```",1.053999424,gpt-3.5,277,0.9983943669531268,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) <= 2.95,List the invoicedate which average of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001525,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95 -```",0.5113601685,gpt-3.5,278,0.9959958338847537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) >= 2.95,List the invoicedate which summation of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000153,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95 -```",0.6267602444,gpt-3.5,279,1.011491058877425,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) <= 2.95,List the invoicedate which summation of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000153,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95 -```",0.5383789539,gpt-3.5,280,1.0022518061794494,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) >= 4902805164.55,List the invoicedate which average of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000164,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55 -```",0.746306181,gpt-3.5,281,1.0065279261426348,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) <= 4902805164.55,List the invoicedate which average of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000164,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55; -```",0.7351136208,gpt-3.5,282,1.0064257910808099,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) >= 4902805164.55,List the invoicedate which summation of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001645,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55; -```",0.5226807594,gpt-3.5,283,0.9995762606742014,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) <= 4902805164.55,List the invoicedate which summation of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001645,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) <= 4902805164.55","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) <= 4902805164.55 -```",0.5666759014,gpt-3.5,284,0.991065833675148,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) >= 1.43,List the paperlessdate which average of dayslate is at least 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001525,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43; -```",0.5524399281,gpt-3.5,285,1.012167236099623,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) <= 1.43,List the paperlessdate which average of dayslate is at most 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001525,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) <= 1.43;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) <= 1.43; -```",0.4575448036,gpt-3.5,286,0.9945415134778122,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) >= 3.47,List the paperlessdate which summation of dayslate is at least 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000153,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47; -```",0.6513996124,gpt-3.5,287,0.9945925161261081,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) <= 3.47,List the paperlessdate which summation of dayslate is at most 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000153,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47 -```",0.8936653137,gpt-3.5,288,1.0083154920354613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) >= 4611214877.81,List the paperlessdate which average of invoicenumber is at least 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000164,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81 -```",1.2098071575,gpt-3.5,289,0.9962509814333163,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) <= 4611214877.81,List the paperlessdate which average of invoicenumber is at most 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000164,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) <= 4611214877.81","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) <= 4611214877.81 -```",1.3961625099,gpt-3.5,290,1.0048683123090125,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) >= 5768006075.94,List the paperlessdate which summation of invoicenumber is at least 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001645,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94; -```",0.5676183701,gpt-3.5,291,1.0040983778302783,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) <= 5768006075.94,List the paperlessdate which summation of invoicenumber is at most 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001645,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94; -```",0.5968484879,gpt-3.5,292,0.9879552521090351,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `housingstatus`) = (SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`),What are the hasothercards with all the housingstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001365,"SELECT DISTINCT hasothercards -FROM accountFraud -WHERE housingstatus IS NOT NULL;","```sql -SELECT DISTINCT hasothercards -FROM accountFraud -WHERE housingstatus IS NOT NULL; -```",0.4666330814,gpt-3.5,293,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the hasothercards with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001695,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT paymenttype) = (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud);","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT paymenttype) = (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud); -```",0.8432793617,gpt-3.5,294,1.0284287525933928,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `employmentstatus`) = (SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`),What are the hasothercards with all the employmentstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001365,"SELECT DISTINCT hasothercards -FROM accountFraud -WHERE employmentstatus IS NOT NULL;","```sql -SELECT DISTINCT hasothercards -FROM accountFraud -WHERE employmentstatus IS NOT NULL; -```",1.0447876453,gpt-3.5,295,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `deviceos`) = (SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`),What are the hasothercards with all the deviceos in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001695,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT deviceos) = (SELECT COUNT(DISTINCT deviceos) FROM accountFraud)","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT deviceos) = (SELECT COUNT(DISTINCT deviceos) FROM accountFraud) -```",0.7153818607,gpt-3.5,296,1.0325343852458877,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the hasothercards with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000137,"SELECT hasothercards -FROM accountFraud -WHERE emailisfree = '1'","```sql -SELECT hasothercards -FROM accountFraud -WHERE emailisfree = '1' -```",0.6206290722,gpt-3.5,297,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the housingstatus with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001285,"SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud;","```sql -SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud; -```",0.5730054379,gpt-3.5,298,0.0,0.222,1.0,0.0,0.154,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the housingstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001365,"SELECT DISTINCT housingstatus -FROM accountFraud -WHERE emailisfree = 'true';","```sql -SELECT DISTINCT housingstatus -FROM accountFraud -WHERE emailisfree = 'true'; -```",0.8028948307,gpt-3.5,299,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the paymenttype with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT paymenttype, emailisfree -FROM accountFraud;","```sql -SELECT paymenttype, emailisfree -FROM accountFraud; -```",0.4537558556,gpt-3.5,300,0.0,0.5,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `employmentstatus` FROM `accountFraud` GROUP BY `employmentstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the employmentstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000141,"SELECT employmentstatus, emailisfree -FROM accountFraud -WHERE emailisfree = 'yes';","```sql -SELECT employmentstatus, emailisfree -FROM accountFraud -WHERE emailisfree = 'yes'; -```",0.7176678181,gpt-3.5,301,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the deviceos with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000135,"SELECT deviceos -FROM accountFraud -WHERE emailisfree = ""Yes""","```sql -SELECT deviceos -FROM accountFraud -WHERE emailisfree = ""Yes"" -```",0.5209388733,gpt-3.5,302,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the customerid with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT customerid -FROM latePayment -WHERE disputed = 'Yes';","```sql -SELECT customerid -FROM latePayment -WHERE disputed = 'Yes'; -```",0.8630304337,gpt-3.5,303,0.0,0.333,1.0,0.0,0.333,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the customerid with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000133,"SELECT customerid -FROM latePayment -WHERE paperlessbill = 'yes'","```sql -SELECT customerid -FROM latePayment -WHERE paperlessbill = 'yes' -```",0.4597373009,gpt-3.5,304,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the paperlessdate with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000134,"SELECT paperlessdate, disputed -FROM latePayment -WHERE disputed = 'Yes'","```sql -SELECT paperlessdate, disputed -FROM latePayment -WHERE disputed = 'Yes' -```",0.8147554398,gpt-3.5,305,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the paperlessdate with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT paperlessdate, paperlessbill -FROM latePayment;","```sql -SELECT paperlessdate, paperlessbill -FROM latePayment; -```",0.4114215374,gpt-3.5,306,0.0,0.053,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the disputed with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000131,"SELECT disputed -FROM latePayment -WHERE paperlessbill = 'all';","```sql -SELECT disputed -FROM latePayment -WHERE paperlessbill = 'all'; -```",0.4315421581,gpt-3.5,307,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` ASC,Show all data ordered by deviceos in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT * FROM accountFraud -ORDER BY deviceos ASC;","```sql -SELECT * FROM accountFraud -ORDER BY deviceos ASC; -```",0.409476757,gpt-3.5,308,0.9786967071580439,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` DESC,Show all data ordered by deviceos in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001305,"SELECT * -FROM accountFraud -ORDER BY deviceos DESC;","```sql -SELECT * -FROM accountFraud -ORDER BY deviceos DESC; -```",0.5581274033,gpt-3.5,309,1.000700223368922,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` ASC,Show all data ordered by dateofbirthdistinctemails4w in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001405,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC;","```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC; -```",0.6680028439,gpt-3.5,310,0.99113690948673,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` DESC,Show all data ordered by dateofbirthdistinctemails4w in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001405,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC;","```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC; -```",0.5062298775,gpt-3.5,311,1.0192409262486417,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` ASC,Project the creditriskscore ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000138,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC;","```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC; -```",0.5726773739,gpt-3.5,312,1.0328795083830464,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` DESC,Project the creditriskscore ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000138,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC;","```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC; -```",0.4671759605,gpt-3.5,313,1.041655834296078,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` ASC,Project the sessionlengthminutes ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001345,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC;","```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC; -```",0.4523472786,gpt-3.5,314,1.0007004413766611,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` DESC,Project the sessionlengthminutes ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001345,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC;","```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC; -```",0.734562397,gpt-3.5,315,1.0010279110035567,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` ASC,Show all data ordered by invoicenumber in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000131,"SELECT * -FROM latePayment -ORDER BY invoicenumber ASC;","```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber ASC; -```",0.7322807312,gpt-3.5,316,1.0374166441527364,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` DESC,Show all data ordered by invoicenumber in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001325,"SELECT * -FROM latePayment -ORDER BY invoicenumber DESC;","```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber DESC; -```",1.2556707859,gpt-3.5,317,0.9669487361070025,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` ASC,Show all data ordered by invoiceamount in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001285,"SELECT * -FROM latePayment -ORDER BY invoiceamount ASC;","```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount ASC; -```",0.4515397549,gpt-3.5,318,1.0374460650249009,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` DESC,Show all data ordered by invoiceamount in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001285,"SELECT * -FROM latePayment -ORDER BY invoiceamount DESC;","```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount DESC; -```",0.3662669659,gpt-3.5,319,1.004201466978514,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` ASC,Project the daystosettle ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000136,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC;","```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC; -```",0.5368521214,gpt-3.5,320,1.0478818401532717,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` DESC,Project the daystosettle ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000136,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC;","```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC; -```",0.5810883045,gpt-3.5,321,1.0088719878853571,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` ASC,Project the disputed ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000124,"SELECT * FROM latePayment -ORDER BY disputed ASC;","```sql -SELECT * FROM latePayment -ORDER BY disputed ASC; -```",0.396654129,gpt-3.5,322,0.0,0.014,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` DESC,Project the disputed ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000136,"SELECT * -FROM latePayment -WHERE disputed = 'Yes' -ORDER BY invoicedate DESC;","```sql -SELECT * -FROM latePayment -WHERE disputed = 'Yes' -ORDER BY invoicedate DESC; -```",0.5674607754,gpt-3.5,323,0.0,0.038,0.5,0.0,0.15,0.0,0.5, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT emailisfree -FROM accountFraud","```sql -SELECT emailisfree -FROM accountFraud -```",0.3948256969,gpt-3.5,324,1.0058325069359344,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `employmentstatus` FROM `accountFraud`,Show all employmentstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001215,"SELECT DISTINCT employmentstatus -FROM accountFraud;","```sql -SELECT DISTINCT employmentstatus -FROM accountFraud; -```",0.4182360172,gpt-3.5,325,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `deviceos` FROM `accountFraud`,Show all deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00012,"SELECT deviceos -FROM accountFraud;","```sql -SELECT deviceos -FROM accountFraud; -```",0.4779567719,gpt-3.5,326,1.041209056281614,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `sessionlengthminutes` FROM `accountFraud`,Show all sessionlengthminutes in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT sessionlengthminutes -FROM accountFraud;","```sql -SELECT sessionlengthminutes -FROM accountFraud; -```",0.3180718422,gpt-3.5,327,1.0183371069658476,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `housingstatus` FROM `accountFraud`,Show all housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001215,"SELECT DISTINCT housingstatus -FROM accountFraud;","```sql -SELECT DISTINCT housingstatus -FROM accountFraud; -```",0.3910403252,gpt-3.5,328,0.0,1.0,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-ALL,SELECT * FROM `accountFraud`,Show all the rows in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001185,"SELECT * -FROM accountFraud;","```sql -SELECT * -FROM accountFraud; -```",0.4145371914,gpt-3.5,329,1.0881377491496236,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT emailisfree -FROM accountFraud;","```sql -SELECT emailisfree -FROM accountFraud; -```",0.4742147923,gpt-3.5,330,1.0242512364280256,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `housingstatus` FROM `accountFraud`","Show all income, housingstatus in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000124,"SELECT income, housingstatus -FROM accountFraud;","```sql -SELECT income, housingstatus -FROM accountFraud; -```",0.4176683426,gpt-3.5,331,1.024641730567109,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `deviceos`, `creditriskscore` FROM `accountFraud`","Show all hasothercards, deviceos, creditriskscore in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000138,"SELECT hasothercards, deviceos, creditriskscore -FROM accountFraud","```sql -SELECT hasothercards, deviceos, creditriskscore -FROM accountFraud -```",0.6391367912,gpt-3.5,332,1.0325556024013123,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype` FROM `accountFraud`","Show all housingstatus, creditriskscore, sessionlengthminutes, paymenttype in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000144,"SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype -FROM accountFraud;","```sql -SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype -FROM accountFraud; -```",0.4118757248,gpt-3.5,333,1.0389921047329975,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes` FROM `accountFraud`","Show all dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000156,"SELECT dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes -FROM accountFraud;","```sql -SELECT dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes -FROM accountFraud; -```",0.5376381874,gpt-3.5,334,1.011541855641156,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `emailisfree`, `employmentstatus`, `dateofbirthdistinctemails4w`, `sessionlengthminutes`, `income` FROM `accountFraud`","Show all hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000164,"SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income -FROM accountFraud;","```sql -SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income -FROM accountFraud; -```",0.5781948566,gpt-3.5,335,1.0037678641602648,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, `income` FROM `accountFraud`","Show all creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000162,"SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income -FROM accountFraud;","```sql -SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income -FROM accountFraud; -```",0.9544684887,gpt-3.5,336,0.9965324057819018,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `sessionlengthminutes`, `emailisfree`, `deviceos`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `hasothercards` FROM `accountFraud`","Show all creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000182,"SELECT creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards -FROM accountFraud;","```sql -SELECT creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards -FROM accountFraud; -```",0.8032956123,gpt-3.5,337,1.0492565546628843,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `creditriskscore`, `deviceos`, `emailisfree`, `income`, `sessionlengthminutes` FROM `accountFraud`","Show all housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000184,"SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes -FROM accountFraud;","```sql -SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes -FROM accountFraud; -```",0.9405784607,gpt-3.5,338,0.947745821008753,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessbill` FROM `latePayment`,Show all paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT * -FROM latePayment -WHERE paperlessbill = 'yes';","```sql -SELECT * -FROM latePayment -WHERE paperlessbill = 'yes'; -```",0.5101144314,gpt-3.5,339,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `invoiceamount` FROM `latePayment`,Show all invoiceamount in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000118,"SELECT invoiceamount -FROM latePayment;","```sql -SELECT invoiceamount -FROM latePayment; -```",0.3223683834,gpt-3.5,340,1.0154951715118994,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessdate` FROM `latePayment`,Show all paperlessdate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00012,"SELECT paperlessdate -FROM latePayment;","```sql -SELECT paperlessdate -FROM latePayment; -```",0.4844505787,gpt-3.5,341,1.0052922812450644,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `duedate` FROM `latePayment`,Show all duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00012,"SELECT duedate -FROM latePayment","```sql -SELECT duedate -FROM latePayment -```",0.4359943867,gpt-3.5,342,1.0056664127111097,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `daystosettle` FROM `latePayment`,Show all daystosettle in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000122,"SELECT daystosettle -FROM latePayment;","```sql -SELECT daystosettle -FROM latePayment; -```",0.344025135,gpt-3.5,343,1.007512077446469,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-ALL,SELECT * FROM `latePayment`,Show all the rows in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000115,SELECT * FROM latePayment;,"```sql -SELECT * FROM latePayment; -```",0.4079253674,gpt-3.5,344,1.00313280492345,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,SELECT `disputed` FROM `latePayment`,Show all disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000125,"SELECT * -FROM latePayment -WHERE disputed = 'Yes';","```sql -SELECT * -FROM latePayment -WHERE disputed = 'Yes'; -```",0.5742542744,gpt-3.5,345,0.0,0.038,0.5,0.0,0.15,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `duedate`, `customerid` FROM `latePayment`","Show all duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000126,"SELECT duedate, customerid -FROM latePayment;","```sql -SELECT duedate, customerid -FROM latePayment; -```",0.6776320934,gpt-3.5,346,0.992354026089767,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `duedate`, `customerid` FROM `latePayment`","Show all paperlessdate, duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000134,"SELECT paperlessdate, duedate, customerid -FROM latePayment","```sql -SELECT paperlessdate, duedate, customerid -FROM latePayment -```",0.5361480713,gpt-3.5,347,0.998698098507807,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `paperlessdate`, `invoicedate`, `duedate` FROM `latePayment`","Show all daystosettle, paperlessdate, invoicedate, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000146,"SELECT daystosettle, paperlessdate, invoicedate, duedate -FROM latePayment;","```sql -SELECT daystosettle, paperlessdate, invoicedate, duedate -FROM latePayment; -```",0.5617530346,gpt-3.5,348,1.047520122123699,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `invoicedate`, `dayslate`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, invoicedate, dayslate, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000152,"SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate -FROM latePayment;","```sql -SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate -FROM latePayment; -```",1.1622049809,gpt-3.5,349,1.0044618728173855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `invoiceamount`, `daystosettle`, `disputed`, `paperlessdate`, `duedate`, `invoicenumber` FROM `latePayment`","Show all invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000158,"SELECT invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber -FROM latePayment","```sql -SELECT invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber -FROM latePayment -```",0.7056202888,gpt-3.5,350,0.998574816437421,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed` FROM `latePayment`","Show all customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00016,"SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed -FROM latePayment;","```sql -SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed -FROM latePayment; -```",0.6305336952,gpt-3.5,351,1.0101078245613333,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `customerid`, `paperlessbill`, `paperlessdate`, `invoicedate`, `duedate`, `invoicenumber`, `disputed` FROM `latePayment`","Show all daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000174,"SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed -FROM latePayment;","```sql -SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed -FROM latePayment; -```",0.6631276608,gpt-3.5,352,1.0216242320943973,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `dayslate`, `daystosettle`, `invoicedate`, `customerid`, `invoiceamount`, `paperlessbill`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000182,"SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate -FROM latePayment","```sql -SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate -FROM latePayment -```",0.8963708878,gpt-3.5,353,0.9974364153952413,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` == 'AC',Show the data of the table accountFraud where paymenttype is equal to AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001305,"SELECT * -FROM accountFraud -WHERE paymenttype = 'AC';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype = 'AC'; -```",0.4698095322,gpt-3.5,354,1.0510994916732594,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AC',Show the data of the table accountFraud where paymenttype is different from AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001305,"SELECT * -FROM accountFraud -WHERE paymenttype != 'AC';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype != 'AC'; -```",0.4790053368,gpt-3.5,355,0.9821671761763976,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AA',Show the data of the table accountFraud where paymenttype not equal to AA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000132,"SELECT * -FROM accountFraud -WHERE paymenttype != 'AA';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype != 'AA'; -```",0.9472084045,gpt-3.5,356,1.0536417013140853,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` == 'CB',Show the data of the table accountFraud where employmentstatus is equal to CB,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001305,"SELECT * FROM accountFraud -WHERE employmentstatus = 'CB';","```sql -SELECT * FROM accountFraud -WHERE employmentstatus = 'CB'; -```",0.7104105949,gpt-3.5,357,1.0140863343037911,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus is different from CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001305,"SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA'; -```",1.0109128952,gpt-3.5,358,1.0307773868476442,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus not equal to CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000132,"SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus <> 'CA'; -```",0.6098926067,gpt-3.5,359,1.007624512446057,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` == 'windows',Show the data of the table accountFraud where deviceos is equal to windows,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000132,"SELECT * -FROM accountFraud -WHERE deviceos = 'windows';","```sql -SELECT * -FROM accountFraud -WHERE deviceos = 'windows'; -```",0.4646599293,gpt-3.5,360,1.0502895303206565,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos is different from other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000132,"SELECT * -FROM accountFraud -WHERE deviceos != 'other';","```sql -SELECT * -FROM accountFraud -WHERE deviceos != 'other'; -```",1.1925702095,gpt-3.5,361,1.0031581681582744,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos not equal to other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000132,"SELECT * -FROM accountFraud -WHERE deviceos <> 'other';","```sql -SELECT * -FROM accountFraud -WHERE deviceos <> 'other'; -```",0.4070887566,gpt-3.5,362,1.0226668723557548,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `income` < 0.4,Show the data of the table accountFraud where income is less than 0.4,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000133,"SELECT * FROM accountFraud -WHERE income < 0.4;","```sql -SELECT * FROM accountFraud -WHERE income < 0.4; -```",0.7057209015,gpt-3.5,363,0.9918385281265447,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` > 3.749706225590873,Show the data of the table accountFraud where sessionlengthminutes is greater than 3.749706225590873,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001465,"SELECT * -FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873;","```sql -SELECT * -FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873; -```",0.6125278473,gpt-3.5,364,1.0465007746902075,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` < 4.886676763177824,Show the data of the table accountFraud where sessionlengthminutes is less than 4.886676763177824,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001465,"SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824;","```sql -SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824; -```",0.5318627357,gpt-3.5,365,0.9912315898942454,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` > 108,Show the data of the table accountFraud where creditriskscore is greater than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001365,"SELECT * -FROM accountFraud -WHERE creditriskscore > 108;","```sql -SELECT * -FROM accountFraud -WHERE creditriskscore > 108; -```",0.6195657253,gpt-3.5,366,1.0329122854337862,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` < 108,Show the data of the table accountFraud where creditriskscore is less than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000135,"SELECT * -FROM accountFraud -WHERE creditriskscore < 108;","```sql -SELECT * -FROM accountFraud -WHERE creditriskscore < 108; -```",0.4238862991,gpt-3.5,367,1.0105043509617648,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` == 'No',Show the data of the table latePayment where disputed is equal to No,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000128,"SELECT * -FROM latePayment -WHERE disputed = 'No';","```sql -SELECT * -FROM latePayment -WHERE disputed = 'No'; -```",0.6722974777,gpt-3.5,368,1.027194221367303,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed is different from Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001265,"SELECT * -FROM latePayment -WHERE disputed <> 'Yes';","```sql -SELECT * -FROM latePayment -WHERE disputed <> 'Yes'; -```",0.4412252903,gpt-3.5,369,1.000848955148329,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed not equal to Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000128,"SELECT * -FROM latePayment -WHERE disputed <> 'Yes';","```sql -SELECT * -FROM latePayment -WHERE disputed <> 'Yes'; -```",0.4378657341,gpt-3.5,370,1.0369234441248247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` == '2/6/2012',Show the data of the table latePayment where paperlessdate is equal to 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001425,"SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012'; -```",0.862185955,gpt-3.5,371,0.9921952080202312,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '2/6/2012',Show the data of the table latePayment where paperlessdate is different from 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001425,"SELECT * -FROM latePayment -WHERE paperlessdate <> '2/6/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate <> '2/6/2012'; -```",0.5160405636,gpt-3.5,372,1.0485722742135557,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '1/26/2012',Show the data of the table latePayment where paperlessdate not equal to 1/26/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000141,"SELECT * -FROM latePayment -WHERE paperlessdate <> '1/26/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate <> '1/26/2012'; -```",0.5166823864,gpt-3.5,373,0.992132207213034,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` == '4/11/2012',Show the data of the table latePayment where invoicedate is equal to 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000141,"SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012';","```sql -SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012'; -```",1.4659500122,gpt-3.5,374,1.0380459056175857,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '4/11/2012',Show the data of the table latePayment where invoicedate is different from 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000141,"SELECT * -FROM latePayment -WHERE invoicedate <> '4/11/2012';","```sql -SELECT * -FROM latePayment -WHERE invoicedate <> '4/11/2012'; -```",0.4669954777,gpt-3.5,375,0.9995987284849979,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '6/18/2013',Show the data of the table latePayment where invoicedate not equal to 6/18/2013,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001425,"SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013'","```sql -SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013' -```",0.5676298141,gpt-3.5,376,1.0266729852540817,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` > 0,Show the data of the table latePayment where dayslate is greater than 0,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001305,"SELECT * -FROM latePayment -WHERE dayslate > 0;","```sql -SELECT * -FROM latePayment -WHERE dayslate > 0; -```",0.5041003227,gpt-3.5,377,0.99270424863898,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` < 6,Show the data of the table latePayment where dayslate is less than 6,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT * -FROM latePayment -WHERE dayslate < 6;","```sql -SELECT * -FROM latePayment -WHERE dayslate < 6; -```",0.4231672287,gpt-3.5,378,1.0018975104242078,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` > 84.86,Show the data of the table latePayment where invoiceamount is greater than 84.86,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001345,"SELECT * -FROM latePayment -WHERE invoiceamount > 84.86;","```sql -SELECT * -FROM latePayment -WHERE invoiceamount > 84.86; -```",0.4567346573,gpt-3.5,379,0.996340092434837,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` < 37.49,Show the data of the table latePayment where invoiceamount is less than 37.49,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001345,"SELECT * -FROM latePayment -WHERE invoiceamount < 37.49;","```sql -SELECT * -FROM latePayment -WHERE invoiceamount < 37.49; -```",0.5900595188,gpt-3.5,380,1.0443837551906743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` > 9465847338,Show the data of the table latePayment where invoicenumber is greater than 9465847338,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001405,"SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338;","```sql -SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338; -```",0.7587549686,gpt-3.5,381,1.0029335009674536,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` < 6528247418,Show the data of the table latePayment where invoicenumber is less than 6528247418,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000139,"SELECT * FROM latePayment -WHERE invoicenumber < 6528247418;","```sql -SELECT * FROM latePayment -WHERE invoicenumber < 6528247418; -```",0.5097737312,gpt-3.5,382,1.004561116400317,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`,How many different employmentstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001265,SELECT COUNT(DISTINCT employmentstatus) FROM accountFraud;,"```sql -SELECT COUNT(DISTINCT employmentstatus) FROM accountFraud; -```",0.5428116322,gpt-3.5,383,1.0577695813279147,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`,How many different housingstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000128,"SELECT COUNT(DISTINCT housingstatus) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT housingstatus) -FROM accountFraud; -```",0.7869458199,gpt-3.5,384,1.001076555354183,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`,How many different deviceos are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000137,"SELECT COUNT(DISTINCT deviceos) AS number_of_different_deviceos -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT deviceos) AS number_of_different_deviceos -FROM accountFraud; -```",0.6066932678,gpt-3.5,385,1.0050397772398305,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hasothercards`) FROM `accountFraud`,How many different hasothercards are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001375,"SELECT COUNT(DISTINCT hasothercards) AS num_hasothercards -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT hasothercards) AS num_hasothercards -FROM accountFraud; -```",0.5686573982,gpt-3.5,386,1.0343526305019775,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`,How many different emailisfree are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001345,"SELECT COUNT(DISTINCT emailisfree) AS different_emails -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT emailisfree) AS different_emails -FROM accountFraud; -```",0.6673955917,gpt-3.5,387,1.0087822795161292,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`creditriskscore`) FROM `accountFraud`,Find the maximum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT MAX(creditriskscore) -FROM accountFraud;","```sql -SELECT MAX(creditriskscore) -FROM accountFraud; -```",0.8722674847,gpt-3.5,388,1.0254386188727092,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`creditriskscore`) FROM `accountFraud`,Find the minimum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT MIN(creditriskscore) -FROM accountFraud;","```sql -SELECT MIN(creditriskscore) -FROM accountFraud; -```",0.5563514233,gpt-3.5,389,1.0251291206678605,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`creditriskscore`) FROM `accountFraud`,Find the average creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000129,"SELECT AVG(creditriskscore) -FROM accountFraud;","```sql -SELECT AVG(creditriskscore) -FROM accountFraud; -```",0.6419425011,gpt-3.5,390,1.0321250213475603,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`income`) FROM `accountFraud`,Find the maximum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001275,"SELECT MAX(income) as max_income -FROM accountFraud;","```sql -SELECT MAX(income) as max_income -FROM accountFraud; -```",0.4549384117,gpt-3.5,391,0.9962881977591356,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`income`) FROM `accountFraud`,Find the minimum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001275,"SELECT MIN(income) AS minimum_income -FROM accountFraud;","```sql -SELECT MIN(income) AS minimum_income -FROM accountFraud; -```",0.5225644112,gpt-3.5,392,1.040495294333988,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`income`) FROM `accountFraud`,Find the average income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001275,"SELECT AVG(income) AS avg_income -FROM accountFraud;","```sql -SELECT AVG(income) AS avg_income -FROM accountFraud; -```",0.4957816601,gpt-3.5,393,0.9926411358900186,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `invoicedate`) FROM `latePayment`,How many different invoicedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000128,"SELECT COUNT(DISTINCT invoicedate) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT invoicedate) -FROM latePayment; -```",0.3743727207,gpt-3.5,394,0.9992963129398421,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`,How many different disputed are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001315,"SELECT COUNT(DISTINCT disputed) as different_disputes -FROM latePayment;","```sql -SELECT COUNT(DISTINCT disputed) as different_disputes -FROM latePayment; -```",0.4592502117,gpt-3.5,395,1.0273367532313045,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `customerid`) FROM `latePayment`,How many different customerid are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000126,"SELECT COUNT(DISTINCT customerid) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT customerid) -FROM latePayment; -```",0.5693151951,gpt-3.5,396,1.0103031116255086,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `paperlessdate`) FROM `latePayment`,How many different paperlessdate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001355,"SELECT COUNT(DISTINCT paperlessdate) as distinct_paperless_dates -FROM latePayment;","```sql -SELECT COUNT(DISTINCT paperlessdate) as distinct_paperless_dates -FROM latePayment; -```",0.579523325,gpt-3.5,397,1.000518977435572,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `duedate`) FROM `latePayment`,How many different duedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000137,"SELECT COUNT(DISTINCT duedate) AS num_different_duedate -FROM latePayment;","```sql -SELECT COUNT(DISTINCT duedate) AS num_different_duedate -FROM latePayment; -```",0.8051152229,gpt-3.5,398,1.0661884639733215,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`daystosettle`) FROM `latePayment`,Find the maximum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001345,"SELECT MAX(daystosettle) AS max_daystosettle -FROM latePayment;","```sql -SELECT MAX(daystosettle) AS max_daystosettle -FROM latePayment; -```",0.495372057,gpt-3.5,399,0.9998647708801139,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`daystosettle`) FROM `latePayment`,Find the minimum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001255,"SELECT MIN(daystosettle) -FROM latePayment;","```sql -SELECT MIN(daystosettle) -FROM latePayment; -```",0.6019818783,gpt-3.5,400,1.0037453752552905,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`daystosettle`) FROM `latePayment`,Find the average daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001345,"SELECT AVG(daystosettle) AS average_daystosettle -FROM latePayment;","```sql -SELECT AVG(daystosettle) AS average_daystosettle -FROM latePayment; -```",0.4058969021,gpt-3.5,401,1.050123574945842,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`dayslate`) FROM `latePayment`,Find the maximum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001275,"SELECT MAX(dayslate) AS maximum_dayslate -FROM latePayment;","```sql -SELECT MAX(dayslate) AS maximum_dayslate -FROM latePayment; -```",0.430783987,gpt-3.5,402,1.0410658856305994,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`dayslate`) FROM `latePayment`,Find the minimum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001275,"SELECT MIN(dayslate) AS minimum_dayslate -FROM latePayment;","```sql -SELECT MIN(dayslate) AS minimum_dayslate -FROM latePayment; -```",0.5272781849,gpt-3.5,403,0.9995749989797525,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`dayslate`) FROM `latePayment`,Find the average dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001275,"SELECT AVG(dayslate) AS average_dayslate -FROM latePayment;","```sql -SELECT AVG(dayslate) AS average_dayslate -FROM latePayment; -```",0.6043834686,gpt-3.5,404,1.029764524035851,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `menopausalstatus` FROM `breastCancer`,Show the different menopausalstatus in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001325,"SELECT DISTINCT menopausalstatus -FROM breastCancer","```sql -SELECT DISTINCT menopausalstatus -FROM breastCancer -```",0.5500068665,gpt-3.5,405,1.0151042705348157,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hormonaltherapy` FROM `breastCancer`,Show the different hormonaltherapy in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001285,"SELECT DISTINCT hormonaltherapy -FROM breastCancer;","```sql -SELECT DISTINCT hormonaltherapy -FROM breastCancer; -```",0.5226318836,gpt-3.5,406,1.0421659491932667,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `status` FROM `breastCancer`,Show the different status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001265,"SELECT DISTINCT status -FROM breastCancer","```sql -SELECT DISTINCT status -FROM breastCancer -```",0.4112248421,gpt-3.5,407,1.0224129579058057,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `heartAttack`,Show the different sex in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001245,"SELECT DISTINCT sex -FROM heartAttack;","```sql -SELECT DISTINCT sex -FROM heartAttack; -```",0.5341155529,gpt-3.5,408,1.0171585905150815,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `chestpaintype` FROM `heartAttack`,Show the different chestpaintype in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001285,"SELECT DISTINCT chestpaintype -FROM heartAttack","```sql -SELECT DISTINCT chestpaintype -FROM heartAttack -```",0.3765017986,gpt-3.5,409,0.9945451742443406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `fastingbloodsugar` FROM `heartAttack`,Show the different fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001305,"SELECT DISTINCT fastingbloodsugar -FROM heartAttack;","```sql -SELECT DISTINCT fastingbloodsugar -FROM heartAttack; -```",0.3897941113,gpt-3.5,410,1.0078407208450164,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `restingelectrocardiographicrresults` FROM `heartAttack`,Show the different restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001405,"SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack; -```",0.566229105,gpt-3.5,411,1.006741978743663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `output` FROM `heartAttack`,Show the different output in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001245,SELECT DISTINCT(output) FROM heartAttack;,"```sql -SELECT DISTINCT(output) FROM heartAttack; -```",0.3372328281,gpt-3.5,412,0.9981463524327215,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `menopausalstatus`, COUNT(*) FROM `breastCancer` GROUP BY `menopausalstatus`","For each menopausalstatus, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000148,"SELECT menopausalstatus, COUNT(*) -FROM breastCancer -GROUP BY menopausalstatus;","```sql -SELECT menopausalstatus, COUNT(*) -FROM breastCancer -GROUP BY menopausalstatus; -```",0.4963965416,gpt-3.5,413,1.037663276122854,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `hormonaltherapy`, COUNT(*) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001455,"SELECT hormonaltherapy, COUNT(*) AS total_rows -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, COUNT(*) AS total_rows -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.669960022,gpt-3.5,414,1.0476850025895794,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `status`, COUNT(*) FROM `breastCancer` GROUP BY `status`","For each status, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000142,"SELECT status, COUNT(*) AS row_count -FROM breastCancer -GROUP BY status;","```sql -SELECT status, COUNT(*) AS row_count -FROM breastCancer -GROUP BY status; -```",0.6778645515,gpt-3.5,415,1.0138469500746865,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT hormonaltherapy, MIN(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MIN(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.5397865772,gpt-3.5,416,1.0116834531871572,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT hormonaltherapy, MAX(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MAX(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.5197968483,gpt-3.5,417,1.018170158070641,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000161,"SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.5820336342,gpt-3.5,418,1.0030263554324135,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000149,"SELECT hormonaltherapy, SUM(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, SUM(progesteronereceptor) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.4648563862,gpt-3.5,419,1.002992416952373,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT hormonaltherapy, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.762898922,gpt-3.5,420,0.99600125013175,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT hormonaltherapy, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.4425876141,gpt-3.5,421,1.0071430961295809,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000161,"SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.5759961605,gpt-3.5,422,1.005901055272167,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000161,"SELECT hormonaltherapy, SUM(numberpositivelymphnodes) AS sum_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy;","```sql -SELECT hormonaltherapy, SUM(numberpositivelymphnodes) AS sum_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy; -```",0.5721645355,gpt-3.5,423,0.9900072672401119,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001575,"SELECT status, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY status","```sql -SELECT status, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY status -```",0.4874286652,gpt-3.5,424,1.0048117206128224,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001575,"SELECT status, MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MAX(progesteronereceptor) AS max_progesteronereceptor -FROM breastCancer -GROUP BY status; -```",0.9325048923,gpt-3.5,425,1.0080497085961777,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001575,"SELECT status, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY status;","```sql -SELECT status, AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM breastCancer -GROUP BY status; -```",0.5656161308,gpt-3.5,426,1.0150932093567193,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000159,"SELECT status, SUM(progesteronereceptor) AS sum_of_progesteronereceptor -FROM breastCancer -GROUP BY status;","```sql -SELECT status, SUM(progesteronereceptor) AS sum_of_progesteronereceptor -FROM breastCancer -GROUP BY status; -```",1.0148482323,gpt-3.5,427,1.0135133583763292,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000147,"SELECT status, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MIN(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status; -```",0.5424408913,gpt-3.5,428,1.0094470083549036,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000147,"SELECT status, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, MAX(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status; -```",0.4873769283,gpt-3.5,429,1.0085708985549307,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001575,"SELECT status, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY status;","```sql -SELECT status, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY status; -```",0.9339280128,gpt-3.5,430,1.0034568132568031,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001455,"SELECT status, SUM(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status;","```sql -SELECT status, SUM(numberpositivelymphnodes) -FROM breastCancer -GROUP BY status; -```",0.7836074829,gpt-3.5,431,1.0060569479340906,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `sex`, COUNT(*) FROM `heartAttack` GROUP BY `sex`","For each sex, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001355,"SELECT sex, COUNT(*) -FROM heartAttack -GROUP BY sex;","```sql -SELECT sex, COUNT(*) -FROM heartAttack -GROUP BY sex; -```",0.8475897312,gpt-3.5,432,1.0366136094249276,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `chestpaintype`, COUNT(*) FROM `heartAttack` GROUP BY `chestpaintype`","For each chestpaintype, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001425,"SELECT chestpaintype, COUNT(*) -FROM heartAttack -GROUP BY chestpaintype;","```sql -SELECT chestpaintype, COUNT(*) -FROM heartAttack -GROUP BY chestpaintype; -```",0.4618041515,gpt-3.5,433,1.00197470437531,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `fastingbloodsugar`, COUNT(*) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT fastingbloodsugar, COUNT(*) as num_rows -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, COUNT(*) as num_rows -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.516762495,gpt-3.5,434,1.0303593532369864,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `restingelectrocardiographicrresults`, COUNT(*) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001665,"SELECT restingelectrocardiographicrresults, -COUNT(*) AS num_rows -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, -COUNT(*) AS num_rows -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",0.7846205235,gpt-3.5,435,0.9978884371830411,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `output`, COUNT(*) FROM `heartAttack` GROUP BY `output`","For each output, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000131,"SELECT COUNT(*) as num_rows -FROM heartAttack;","```sql -SELECT COUNT(*) as num_rows -FROM heartAttack; -```",0.4819316864,gpt-3.5,436,0.0,0.0,0.0,0.0,0.5,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001635,"SELECT restingelectrocardiographicrresults, MIN(age) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, MIN(age) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",0.6002466679,gpt-3.5,437,1.0528216671421136,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001665,"SELECT restingelectrocardiographicrresults, MAX(age) AS max_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, MAX(age) AS max_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",1.2406778336,gpt-3.5,438,1.030251596448956,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001695,"SELECT restingelectrocardiographicrresults, AVG(age) AS average_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, AVG(age) AS average_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",0.6700239182,gpt-3.5,439,1.0006839076224263,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000171,"SELECT restingelectrocardiographicrresults, SUM(age) as sum_of_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, SUM(age) as sum_of_age -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",0.5594089031,gpt-3.5,440,0.9992212520996192,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001735,"SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",0.7620372772,gpt-3.5,441,0.9859134175660008,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000172,"SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults","```sql -SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -```",0.7533574104,gpt-3.5,442,0.9851913877762944,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001735,"SELECT restingelectrocardiographicrresults, AVG(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, AVG(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",0.8507096767,gpt-3.5,443,1.0274474928721602,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000175,"SELECT restingelectrocardiographicrresults, SUM(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT restingelectrocardiographicrresults, SUM(numberofmajorvvessels) -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",5.9992742538,gpt-3.5,444,1.0004428704748987,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001475,"SELECT fastingbloodsugar, MIN(age) -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MIN(age) -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.6009554863,gpt-3.5,445,0.9952340561557294,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000152,"SELECT fastingbloodsugar, MAX(age) as max_age -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MAX(age) as max_age -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.4677655697,gpt-3.5,446,1.0117868700454378,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000152,"SELECT fastingbloodsugar, AVG(age) AS avg_age -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, AVG(age) AS avg_age -FROM heartAttack -GROUP BY fastingbloodsugar; -```",1.0190222263,gpt-3.5,447,1.0737223196597134,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000146,"SELECT fastingbloodsugar, SUM(age) -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, SUM(age) -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.4989478588,gpt-3.5,448,1.0093462573309444,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000156,"SELECT fastingbloodsugar, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MIN(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.5127565861,gpt-3.5,449,1.2577651726150236,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000156,"SELECT fastingbloodsugar, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, MAX(numberofmajorvvessels) -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.447425127,gpt-3.5,450,0.9687342732510116,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001695,"SELECT fastingbloodsugar, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar; -```",1.0753960609,gpt-3.5,451,0.9903048830119491,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001695,"SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS sum_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS sum_numberofmajorvvessels -FROM heartAttack -GROUP BY fastingbloodsugar; -```",0.8323142529,gpt-3.5,452,1.0060055922968365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) >= 12,Find all the menopausalstatus that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001565,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12;","```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12; -```",0.6144595146,gpt-3.5,453,1.0094131996895228,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) <= 12,Find all the menopausalstatus that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001565,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12","```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12 -```",0.4553954601,gpt-3.5,454,1.0027550531757503,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) >= 12,Find all the hormonaltherapy that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001495,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) >= 12;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) >= 12; -```",0.5152387619,gpt-3.5,455,1.0232472901053444,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) <= 12,Find all the hormonaltherapy that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001495,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12; -```",0.6409151554,gpt-3.5,456,1.0149652106735023,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) >= 12,Find all the status that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000146,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) >= 12;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) >= 12; -```",0.6084442139,gpt-3.5,457,1.0056974955879576,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) <= 12,Find all the status that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000146,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) <= 12","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(*) <= 12 -```",0.7391786575,gpt-3.5,458,1.0368314444730338,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) >= 30.14,List the hormonaltherapy which average of tumorsize is at least 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001605,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14; -```",0.9499931335,gpt-3.5,459,1.0020548602888395,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) <= 30.14,List the hormonaltherapy which average of tumorsize is at most 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001605,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) <= 30.14;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) <= 30.14; -```",0.6288292408,gpt-3.5,460,0.9981327417071251,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) >= 389.5,List the hormonaltherapy which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000161,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5; -```",0.5807087421,gpt-3.5,461,1.0457948952558238,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) <= 389.5,List the hormonaltherapy which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000161,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) <= 389.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) <= 389.5; -```",0.4714958668,gpt-3.5,462,1.0091547803095247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) >= 53.95,List the hormonaltherapy which average of age is at least 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001555,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95; -```",0.5455143452,gpt-3.5,463,1.0041180937856895,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) <= 53.95,List the hormonaltherapy which average of age is at most 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001555,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95; -```",0.9027910233,gpt-3.5,464,1.0336687537517728,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) >= 640.5,List the hormonaltherapy which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000153,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age)>=640.5","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age)>=640.5 -```",0.6049556732,gpt-3.5,465,0.9940658422896346,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) <= 640.5,List the hormonaltherapy which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000156,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) <= 640.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) <= 640.5; -```",1.0598881245,gpt-3.5,466,1.0045405585388183,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) >= 34.41,List the status which average of tumorsize is at least 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000157,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) >= 34.41","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) >= 34.41 -```",0.6669859886,gpt-3.5,467,1.0304745860283189,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) <= 34.41,List the status which average of tumorsize is at most 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000157,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41; -```",1.4279825687,gpt-3.5,468,1.0057539362913304,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) >= 389.5,List the status which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001575,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5; -```",0.9343891144,gpt-3.5,469,0.9844025511735527,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) <= 389.5,List the status which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001575,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5; -```",0.5730462074,gpt-3.5,470,1.020182670072565,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) >= 53.44,List the status which average of age is at least 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000152,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44; -```",0.5551378727,gpt-3.5,471,1.0012653867938655,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) <= 53.44,List the status which average of age is at most 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000152,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44; -```",0.7120680809,gpt-3.5,472,1.0090511525751245,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) >= 640.5,List the status which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001525,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5 -```",0.4985737801,gpt-3.5,473,1.0261643300821355,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) <= 640.5,List the status which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001525,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) <= 640.5","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) <= 640.5 -```",0.7269392014,gpt-3.5,474,1.003223210581424,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) >= 10,Find all the output that have at least 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001455,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(output) >= 10;","```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(output) >= 10; -```",0.4549183846,gpt-3.5,475,1.000618321022934,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) <= 10,Find all the output that have at most 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000144,"SELECT * -FROM heartAttack -GROUP BY output -HAVING COUNT(*) <= 10;","```sql -SELECT * -FROM heartAttack -GROUP BY output -HAVING COUNT(*) <= 10; -```",1.1384010315,gpt-3.5,476,0.0,0.125,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) >= 5,Find all the chestpaintype that have at least 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000151,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5;","```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5; -```",0.4850718975,gpt-3.5,477,1.0049654929627663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) <= 5,Find all the chestpaintype that have at most 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000151,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5;","```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5; -```",0.5164065361,gpt-3.5,478,1.00092854308854,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) >= 6,Find all the restingelectrocardiographicrresults that have at least 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001705,"SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6;","```sql -SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6; -```",0.6013653278,gpt-3.5,479,1.0481394094902663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) <= 6,Find all the restingelectrocardiographicrresults that have at most 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000172,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6; -```",0.6747868061,gpt-3.5,480,1.0203368718066799,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) >= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at least 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000166,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(restingbloodpressure) >= 145.75;","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(restingbloodpressure) >= 145.75; -```",0.6420607567,gpt-3.5,481,1.0140858170409024,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) <= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at most 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000166,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(restingbloodpressure) <= 145.75;","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(restingbloodpressure) <= 145.75; -```",1.3081662655,gpt-3.5,482,0.9898954846681635,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001685,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5;","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5; -```",0.7985601425,gpt-3.5,483,1.0487196962730974,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001685,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) <= 1343.5","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) <= 1343.5 -```",0.6398131847,gpt-3.5,484,0.9933285353102738,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) >= 59.17,List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001605,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) >= 59.17;","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) >= 59.17; -```",0.4899139404,gpt-3.5,485,1.0328801092521738,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) <= 59.17,List the fastingbloodsugar which average of age is at most 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001605,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) <= 59.17;","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) <= 59.17; -```",0.614420414,gpt-3.5,486,1.0087467652324982,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) >= 561.0,List the fastingbloodsugar which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000161,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) >= 561.0;","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) >= 561.0; -```",1.8629248142,gpt-3.5,487,0.9995647326179824,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) <= 561.0,List the fastingbloodsugar which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000161,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) <= 561.0","```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(age) <= 561.0 -```",0.5419282913,gpt-3.5,488,0.9946635716572855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) >= 131.31,List the sex which average of restingbloodpressure is at least 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001555,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31; -```",0.6387200356,gpt-3.5,489,1.014064713361164,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) <= 131.31,List the sex which average of restingbloodpressure is at most 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001555,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31; -```",0.5909628868,gpt-3.5,490,1.0414051285260557,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the sex which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000158,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5; -```",0.8757090569,gpt-3.5,491,1.0222698283626974,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000158,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5; -```",1.1248109341,gpt-3.5,492,1.0048866528728202,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) >= 58.78,List the sex which average of age is at least 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00015,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78 -```",0.7664885521,gpt-3.5,493,0.9948895535620047,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) <= 58.78,List the sex which average of age is at most 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00015,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78 -```",0.7154781818,gpt-3.5,494,0.9857563610556617,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) >= 561.0,List the sex which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0; -```",0.4624872208,gpt-3.5,495,1.064661101225505,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) <= 561.0,List the sex which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0 -```",0.4503808022,gpt-3.5,496,1.0032880370694328,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `hormonaltherapy`) = (SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`),What are the menopausalstatus with all the hormonaltherapy in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001375,"SELECT menopausalstatus, hormonaltherapy -FROM breastCancer","```sql -SELECT menopausalstatus, hormonaltherapy -FROM breastCancer -```",0.5971133709,gpt-3.5,497,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the menopausalstatus with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001325,"SELECT menopausalstatus -FROM breastCancer","```sql -SELECT menopausalstatus -FROM breastCancer -```",0.3859882355,gpt-3.5,498,0.0,1.0,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the hormonaltherapy with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001315,"SELECT hormonaltherapy, status -FROM breastCancer;","```sql -SELECT hormonaltherapy, status -FROM breastCancer; -```",0.6159200668,gpt-3.5,499,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `chestpaintype`) = (SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`),What are the sex with all the chestpaintype in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000133,"SELECT DISTINCT sex, chestpaintype -FROM heartAttack;","```sql -SELECT DISTINCT sex, chestpaintype -FROM heartAttack; -```",0.4659821987,gpt-3.5,500,0.0,0.167,1.0,0.0,0.143,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the sex with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001275,"SELECT DISTINCT sex -FROM heartAttack;","```sql -SELECT DISTINCT sex -FROM heartAttack; -```",0.4367754459,gpt-3.5,501,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the sex with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000145,"SELECT DISTINCT sex, restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT DISTINCT sex, restingelectrocardiographicrresults -FROM heartAttack; -```",0.464042902,gpt-3.5,502,0.0,0.2,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the sex with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000126,"SELECT DISTINCT sex -FROM heartAttack;","```sql -SELECT DISTINCT sex -FROM heartAttack; -```",0.501914978,gpt-3.5,503,0.9788280489699976,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the chestpaintype with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000139,"SELECT DISTINCT chestpaintype, fastingbloodsugar -FROM heartAttack;","```sql -SELECT DISTINCT chestpaintype, fastingbloodsugar -FROM heartAttack; -```",0.6142096519,gpt-3.5,504,0.0,0.167,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the chestpaintype with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00013,"SELECT DISTINCT chestpaintype -FROM heartAttack;","```sql -SELECT DISTINCT chestpaintype -FROM heartAttack; -```",0.3716609478,gpt-3.5,505,0.0,0.75,1.0,0.0,0.75,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the fastingbloodsugar with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001495,"SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack","```sql -SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack -```",0.813986063,gpt-3.5,506,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the fastingbloodsugar with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001305,"SELECT fastingbloodsugar -FROM heartAttack;","```sql -SELECT fastingbloodsugar -FROM heartAttack; -```",0.5743842125,gpt-3.5,507,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the restingelectrocardiographicrresults with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000139,"SELECT restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack; -```",0.5909962654,gpt-3.5,508,0.0,0.667,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` ASC,Show all data ordered by hormonaltherapy in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000137,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC;","```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC; -```",0.6126234531,gpt-3.5,509,1.0314398626394894,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` DESC,Show all data ordered by hormonaltherapy in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000137,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy DESC;","```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy DESC; -```",0.8298718929,gpt-3.5,510,0.998713803327182,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` ASC,Show all data ordered by status in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001335,"SELECT * FROM breastCancer -ORDER BY status ASC;","```sql -SELECT * FROM breastCancer -ORDER BY status ASC; -```",0.4174656868,gpt-3.5,511,1.0038056363960874,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` DESC,Show all data ordered by status in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000135,"SELECT * -FROM breastCancer -ORDER BY status DESC;","```sql -SELECT * -FROM breastCancer -ORDER BY status DESC; -```",0.6872582436,gpt-3.5,512,1.0413668830833844,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` ASC,Project the tumorgrade ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001375,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC;","```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC; -```",0.4439282417,gpt-3.5,513,1.0017278247972983,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` DESC,Project the tumorgrade ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001375,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC;","```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC; -```",0.4098882675,gpt-3.5,514,1.0643810962689246,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` ASC,Project the patientidentifier ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001375,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC;","```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC; -```",0.4939501286,gpt-3.5,515,1.0056794037319745,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` DESC,Project the patientidentifier ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001375,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC;","```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC; -```",0.7612252235,gpt-3.5,516,1.0194629721558288,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` ASC,Show all data ordered by numberofmajorvvessels in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001415,"SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels ASC;","```sql -SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels ASC; -```",0.5154476166,gpt-3.5,517,1.0064255340518284,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` DESC,Show all data ordered by numberofmajorvvessels in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000143,"SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels DESC;","```sql -SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels DESC; -```",0.5779819489,gpt-3.5,518,1.0392439808876115,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` ASC,Show all data ordered by restingbloodpressure in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000134,SELECT * FROM heartAttack ORDER BY restingbloodpressure ASC;,"```sql -SELECT * FROM heartAttack ORDER BY restingbloodpressure ASC; -```",0.42273736,gpt-3.5,519,1.009080089613346,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` DESC,Show all data ordered by restingbloodpressure in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000134,SELECT * FROM heartAttack ORDER BY restingbloodpressure DESC;,"```sql -SELECT * FROM heartAttack ORDER BY restingbloodpressure DESC; -```",0.5597000122,gpt-3.5,520,1.0556823178201609,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` ASC,Project the restingelectrocardiographicrresults ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000157,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC; -```",0.6375696659,gpt-3.5,521,1.00545197139426,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` DESC,Project the restingelectrocardiographicrresults ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.00016,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC; -```",0.7124123573,gpt-3.5,522,1.0297340177415217,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` ASC,Project the sex ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000132,"SELECT sex -FROM heartAttack -ORDER BY sex ASC;","```sql -SELECT sex -FROM heartAttack -ORDER BY sex ASC; -```",0.4533030987,gpt-3.5,523,1.0111318583873534,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` DESC,Project the sex ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000132,"SELECT sex -FROM heartAttack -ORDER BY sex DESC;","```sql -SELECT sex -FROM heartAttack -ORDER BY sex DESC; -```",0.3843979836,gpt-3.5,524,0.9829953431604752,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `age` FROM `breastCancer`,Show all age in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000123,SELECT age FROM breastCancer;,"```sql -SELECT age FROM breastCancer; -```",0.7521934509,gpt-3.5,525,1.0334855021809055,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `progesteronereceptor` FROM `breastCancer`,Show all progesteronereceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001325,"SELECT progesteronereceptor -FROM breastCancer;","```sql -SELECT progesteronereceptor -FROM breastCancer; -```",0.493514061,gpt-3.5,526,1.0026160738487464,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `estrogenreceptor` FROM `breastCancer`,Show all estrogenreceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001285,"SELECT estrogenreceptor -FROM breastCancer;","```sql -SELECT estrogenreceptor -FROM breastCancer; -```",0.3851323128,gpt-3.5,527,0.9966515980775572,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000126,"SELECT DISTINCT status -FROM breastCancer;","```sql -SELECT DISTINCT status -FROM breastCancer; -```",0.4164178371,gpt-3.5,528,0.0,1.0,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `patientidentifier` FROM `breastCancer`,Show all patientidentifier in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001265,"SELECT patientidentifier -FROM breastCancer","```sql -SELECT patientidentifier -FROM breastCancer -```",0.7104017735,gpt-3.5,529,1.0028691688792801,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-ALL,SELECT * FROM `breastCancer`,Show all the rows in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001235,SELECT * FROM breastCancer;,"```sql -SELECT * FROM breastCancer; -```",0.2608942986,gpt-3.5,530,0.9969104404719279,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000126,"SELECT DISTINCT status -FROM breastCancer;","```sql -SELECT DISTINCT status -FROM breastCancer; -```",0.4271950722,gpt-3.5,531,0.0,1.0,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `tumorgrade` FROM `breastCancer`","Show all estrogenreceptor, tumorgrade in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001345,"SELECT estrogenreceptor, tumorgrade -FROM breastCancer","```sql -SELECT estrogenreceptor, tumorgrade -FROM breastCancer -```",0.4369418621,gpt-3.5,532,0.997072651950373,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `hormonaltherapy`, `patientidentifier`, `numberpositivelymphnodes` FROM `breastCancer`","Show all hormonaltherapy, patientidentifier, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001445,"SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer;","```sql -SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer; -```",0.5417532921,gpt-3.5,533,1.00013894277108,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, `age` FROM `breastCancer`","Show all numberpositivelymphnodes, patientidentifier, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001485,"SELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age -FROM breastCancer;","```sql -SELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age -FROM breastCancer; -```",0.5881099701,gpt-3.5,534,1.0066109958607412,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, `age` FROM `breastCancer`","Show all estrogenreceptor, status, menopausalstatus, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001525,"SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age -FROM breastCancer;","```sql -SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age -FROM breastCancer; -```",0.4920277596,gpt-3.5,535,1.031459258684603,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `patientidentifier`, `hormonaltherapy`, `status`, `age`, `menopausalstatus`, `tumorsize` FROM `breastCancer`","Show all patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001565,"SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer;","```sql -SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer; -```",0.9200744629,gpt-3.5,536,1.0593908808251338,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age` FROM `breastCancer`","Show all tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001765,"SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age -FROM breastCancer;","```sql -SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age -FROM breastCancer; -```",0.7255911827,gpt-3.5,537,0.9887656125621925,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, `hormonaltherapy` FROM `breastCancer`","Show all tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001725,"SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy -FROM breastCancer;","```sql -SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy -FROM breastCancer; -```",2.2054753304,gpt-3.5,538,1.0245962992536397,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorsize`, `hormonaltherapy`, `age`, `status`, `tumorgrade`, `menopausalstatus`, `progesteronereceptor`, `estrogenreceptor`, `numberpositivelymphnodes` FROM `breastCancer`","Show all tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001885,"SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes -FROM breastCancer;","```sql -SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes -FROM breastCancer; -```",0.6616392136,gpt-3.5,539,0.9995967387865805,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingelectrocardiographicrresults` FROM `heartAttack`,Show all restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001385,"SELECT restingelectrocardiographicrresults -FROM heartAttack","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -```",0.5355038643,gpt-3.5,540,1.0189125852340057,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `fastingbloodsugar` FROM `heartAttack`,Show all fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001285,"SELECT fastingbloodsugar -FROM heartAttack;","```sql -SELECT fastingbloodsugar -FROM heartAttack; -```",0.4491899014,gpt-3.5,541,1.023061270025799,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `thall` FROM `heartAttack`,Show all thall in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001245,"SELECT thall -FROM heartAttack;","```sql -SELECT thall -FROM heartAttack; -```",0.3423202038,gpt-3.5,542,0.9869778200420295,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001265,"SELECT restingbloodpressure -FROM heartAttack;","```sql -SELECT restingbloodpressure -FROM heartAttack; -```",0.3881971836,gpt-3.5,543,1.0415906706921265,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `numberofmajorvvessels` FROM `heartAttack`,Show all numberofmajorvvessels in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001325,"SELECT numberofmajorvvessels -FROM heartAttack;","```sql -SELECT numberofmajorvvessels -FROM heartAttack; -```",0.6587455273,gpt-3.5,544,1.0264676578353094,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-ALL,SELECT * FROM `heartAttack`,Show all the rows in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001215,"SELECT * -FROM heartAttack;","```sql -SELECT * -FROM heartAttack; -```",0.4585175514,gpt-3.5,545,0.979452217029041,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001265,"SELECT restingbloodpressure -FROM heartAttack;","```sql -SELECT restingbloodpressure -FROM heartAttack; -```",0.3959507942,gpt-3.5,546,1.0202367457952999,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `thall` FROM `heartAttack`","Show all restingbloodpressure, thall in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001325,"SELECT restingbloodpressure, thall -FROM heartAttack;","```sql -SELECT restingbloodpressure, thall -FROM heartAttack; -```",0.474445343,gpt-3.5,547,0.9893846880196948,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `sex`, `fastingbloodsugar` FROM `heartAttack`","Show all restingbloodpressure, sex, fastingbloodsugar in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001405,"SELECT restingbloodpressure, sex, fastingbloodsugar -FROM heartAttack;","```sql -SELECT restingbloodpressure, sex, fastingbloodsugar -FROM heartAttack; -```",1.5217294693,gpt-3.5,548,1.0113133670902208,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `thall`, `sex`, `numberofmajorvvessels`, `age` FROM `heartAttack`","Show all thall, sex, numberofmajorvvessels, age in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001465,"SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack;","```sql -SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack; -```",0.4396052361,gpt-3.5,549,1.035350297714729,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, `numberofmajorvvessels` FROM `heartAttack`","Show all restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001765,"SELECT restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels -FROM heartAttack;","```sql -SELECT restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels -FROM heartAttack; -```",0.5751376152,gpt-3.5,550,0.9942303052481304,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg` FROM `heartAttack`","Show all sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001705,"SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg -FROM heartAttack;","```sql -SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg -FROM heartAttack; -```",0.6463441849,gpt-3.5,551,1.0458177720558608,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `restingbloodpressure`, `age`, `fastingbloodsugar`, `sex`, `cholestoralinmg`, `restingelectrocardiographicrresults` FROM `heartAttack`","Show all numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001905,"SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults -FROM heartAttack","```sql -SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults -FROM heartAttack -```",0.9416415691,gpt-3.5,552,1.0020245516101904,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, `sex` FROM `heartAttack`","Show all numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001985,"SELECT numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex -FROM heartAttack;","```sql -SELECT numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex -FROM heartAttack; -```",1.1661977768,gpt-3.5,553,1.029512376182914,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `chestpaintype`, `sex`, `fastingbloodsugar`, `restingelectrocardiographicrresults`, `thall`, `numberofmajorvvessels`, `age`, `output`, `restingbloodpressure` FROM `heartAttack`","Show all chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001965,"SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure -FROM heartAttack;","```sql -SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure -FROM heartAttack; -```",0.790828228,gpt-3.5,554,0.9966652395987016,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` == 'postmenopausal',Show the data of the table breastCancer where menopausalstatus is equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001485,"SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal'; -```",0.6911244392,gpt-3.5,555,1.0438923935787663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'premenopausal',Show the data of the table breastCancer where menopausalstatus is different from premenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000147,"SELECT * -FROM breastCancer -WHERE menopausalstatus <> 'premenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus <> 'premenopausal'; -```",0.6318109035,gpt-3.5,556,1.0020738886557656,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'postmenopausal',Show the data of the table breastCancer where menopausalstatus not equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001485,"SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal'; -```",0.5628652573,gpt-3.5,557,1.0639561875143817,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` == 'yes',Show the data of the table breastCancer where hormonaltherapy is equal to yes,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000137,"SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes'; -```",0.3893890381,gpt-3.5,558,1.0408694944414083,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy is different from no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000137,"SELECT * -FROM breastCancer -WHERE hormonaltherapy <> 'no'","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy <> 'no' -```",0.4399080276,gpt-3.5,559,1.0116008815032405,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy not equal to no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001385,"SELECT * -FROM breastCancer -WHERE hormonaltherapy <> 'no';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy <> 'no'; -```",0.7123754025,gpt-3.5,560,1.012615545251995,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `status` == 'recurrenceOrDeath',Show the data of the table breastCancer where status is equal to recurrenceOrDeath,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000139,SELECT * FROM breastCancer WHERE status = 'recurrenceOrDeath';,"```sql -SELECT * FROM breastCancer WHERE status = 'recurrenceOrDeath'; -```",1.3593699932,gpt-3.5,561,1.0188187514571314,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status is different from aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001425,"SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence';","```sql -SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence'; -```",0.4532897472,gpt-3.5,562,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status not equal to aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000141,"SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence';","```sql -SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence'; -```",0.4929349422,gpt-3.5,563,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `age` > 32,Show the data of the table breastCancer where age is greater than 32,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001355,"SELECT * -FROM breastCancer -WHERE age > 32;","```sql -SELECT * -FROM breastCancer -WHERE age > 32; -```",0.460365057,gpt-3.5,564,0.9799455809719396,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `progesteronereceptor` < 239,Show the data of the table breastCancer where progesteronereceptor is less than 239,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000142,SELECT * FROM breastCancer WHERE progesteronereceptor < 239;,"```sql -SELECT * FROM breastCancer WHERE progesteronereceptor < 239; -```",0.5363914967,gpt-3.5,565,0.9955074118488066,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` == 'nonAnginalPain',Show the data of the table heartAttack where chestpaintype is equal to nonAnginalPain,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000145,"SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain'; -```",0.7751874924,gpt-3.5,566,0.9983115586409517,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'asymptomatic',Show the data of the table heartAttack where chestpaintype is different from asymptomatic,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000142,"SELECT * -FROM heartAttack -WHERE chestpaintype <> 'asymptomatic';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype <> 'asymptomatic'; -```",0.4763448238,gpt-3.5,567,1.0192049196054531,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'typicalAngina',Show the data of the table heartAttack where chestpaintype not equal to typicalAngina,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000144,"SELECT * -FROM heartAttack -WHERE chestpaintype != 'typicalAngina';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype != 'typicalAngina'; -```",0.627519846,gpt-3.5,568,1.0067806548129665,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` == 'leftVentricularHypertrophy',Show the data of the table heartAttack where restingelectrocardiographicrresults is equal to leftVentricularHypertrophy,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000163,"SELECT * FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';","```sql -SELECT * FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy'; -```",0.4889650345,gpt-3.5,569,1.0279578232611977,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'normal',Show the data of the table heartAttack where restingelectrocardiographicrresults is different from normal,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000149,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults <> 'normal';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults <> 'normal'; -```",0.4734494686,gpt-3.5,570,0.9871594277806062,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'STTWaveAbnormality',Show the data of the table heartAttack where restingelectrocardiographicrresults not equal to STTWaveAbnormality,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000159,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'STTWaveAbnormality'","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'STTWaveAbnormality' -```",0.5101938248,gpt-3.5,571,1.0047618156784743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` == 'noHeartAttack',Show the data of the table heartAttack where output is equal to noHeartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000137,"SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack';","```sql -SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack'; -```",0.4744479656,gpt-3.5,572,1.000663044738913,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output is different from heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001365,"SELECT * -FROM heartAttack -WHERE output <> 'heartAttack';","```sql -SELECT * -FROM heartAttack -WHERE output <> 'heartAttack'; -```",0.4755196571,gpt-3.5,573,1.0592330055506065,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output not equal to heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001335,SELECT * FROM heartAttack WHERE output <> 'heartAttack';,"```sql -SELECT * FROM heartAttack WHERE output <> 'heartAttack'; -```",0.3985741138,gpt-3.5,574,1.0263220465715102,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `numberofmajorvvessels` > 2,Show the data of the table heartAttack where numberofmajorvvessels is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001435,"SELECT * -FROM heartAttack -WHERE numberofmajorvvessels > 2;","```sql -SELECT * -FROM heartAttack -WHERE numberofmajorvvessels > 2; -```",0.6694602966,gpt-3.5,575,1.0056721010849787,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` > 197,Show the data of the table heartAttack where cholestoralinmg is greater than 197,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000143,"SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197","```sql -SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197 -```",0.7921729088,gpt-3.5,576,1.016919253388962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` < 211,Show the data of the table heartAttack where cholestoralinmg is less than 211,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000143,"SELECT * -FROM heartAttack -WHERE cholestoralinmg < 211;","```sql -SELECT * -FROM heartAttack -WHERE cholestoralinmg < 211; -```",0.5532851219,gpt-3.5,577,1.0323744603658132,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `thall` > 2,Show the data of the table heartAttack where thall is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000137,"SELECT * -FROM heartAttack -WHERE thall > 2;","```sql -SELECT * -FROM heartAttack -WHERE thall > 2; -```",1.1462516785,gpt-3.5,578,1.0000071821442822,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `menopausalstatus`) FROM `breastCancer`,How many different menopausalstatus are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001505,"SELECT COUNT(DISTINCT menopausalstatus) AS num_different_menopausalstatus -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT menopausalstatus) AS num_different_menopausalstatus -FROM breastCancer; -```",0.7238078117,gpt-3.5,579,1.056628244865274,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`,How many different hormonaltherapy are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001465,"SELECT COUNT(DISTINCT hormonaltherapy) AS number_of_different_hormonaltherapy -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT hormonaltherapy) AS number_of_different_hormonaltherapy -FROM breastCancer; -```",0.5073387623,gpt-3.5,580,1.0213591309782026,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `status`) FROM `breastCancer`,How many different status are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001385,"SELECT COUNT(DISTINCT status) as different_status_count -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT status) as different_status_count -FROM breastCancer; -```",0.8905200958,gpt-3.5,581,1.0046543868458633,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`progesteronereceptor`) FROM `breastCancer`,Find the maximum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000136,"SELECT MAX(progesteronereceptor) -FROM breastCancer;","```sql -SELECT MAX(progesteronereceptor) -FROM breastCancer; -```",0.4539480209,gpt-3.5,582,1.027923587049107,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`progesteronereceptor`) FROM `breastCancer`,Find the minimum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000136,"SELECT MIN(progesteronereceptor) -FROM breastCancer;","```sql -SELECT MIN(progesteronereceptor) -FROM breastCancer; -```",0.384693861,gpt-3.5,583,1.0093241834012887,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`progesteronereceptor`) FROM `breastCancer`,Find the average progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001465,"SELECT AVG(progesteronereceptor) AS average_progesteronereceptor -FROM breastCancer;","```sql -SELECT AVG(progesteronereceptor) AS average_progesteronereceptor -FROM breastCancer; -```",0.5984354019,gpt-3.5,584,1.0043259935396236,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`estrogenreceptor`) FROM `breastCancer`,Find the maximum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001335,"SELECT MAX(estrogenreceptor) -FROM breastCancer;","```sql -SELECT MAX(estrogenreceptor) -FROM breastCancer; -```",0.5553975105,gpt-3.5,585,1.0228639774575716,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`estrogenreceptor`) FROM `breastCancer`,Find the minimum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001425,"SELECT MIN(estrogenreceptor) AS minimum_estrogenreceptor -FROM breastCancer;","```sql -SELECT MIN(estrogenreceptor) AS minimum_estrogenreceptor -FROM breastCancer; -```",0.4145431519,gpt-3.5,586,1.0113484260687753,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`estrogenreceptor`) FROM `breastCancer`,Find the average estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001335,"SELECT AVG(estrogenreceptor) -FROM breastCancer;","```sql -SELECT AVG(estrogenreceptor) -FROM breastCancer; -```",0.5471141338,gpt-3.5,587,0.9968453685459365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `sex`) FROM `heartAttack`,How many different sex are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001305,"SELECT COUNT(DISTINCT sex) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT sex) -FROM heartAttack; -```",0.4638741016,gpt-3.5,588,1.0358904221616647,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`,How many different chestpaintype are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001345,"SELECT COUNT(DISTINCT chestpaintype) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT chestpaintype) -FROM heartAttack; -```",0.4561710358,gpt-3.5,589,1.0744026519221186,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`,How many different fastingbloodsugar are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001485,"SELECT COUNT(DISTINCT fastingbloodsugar) as count_different_fastingbloodsugar -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT fastingbloodsugar) as count_different_fastingbloodsugar -FROM heartAttack; -```",0.514206171,gpt-3.5,590,0.9969433049066927,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`,How many different restingelectrocardiographicrresults are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000151,"SELECT COUNT(DISTINCT restingelectrocardiographicrresults) AS unique_results -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT restingelectrocardiographicrresults) AS unique_results -FROM heartAttack; -```",0.5408489704,gpt-3.5,591,0.9750638128001672,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `output`) FROM `heartAttack`,How many different output are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000135,"SELECT COUNT(DISTINCT output) AS different_output -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT output) AS different_output -FROM heartAttack; -```",0.4094798565,gpt-3.5,592,0.9666483127042855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`numberofmajorvvessels`) FROM `heartAttack`,Find the maximum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000136,"SELECT MAX(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT MAX(numberofmajorvvessels) -FROM heartAttack; -```",0.4016692638,gpt-3.5,593,1.0289751019539795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`numberofmajorvvessels`) FROM `heartAttack`,Find the minimum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000148,"SELECT MIN(numberofmajorvvessels) AS minimum_numberofmajorvvessels -FROM heartAttack;","```sql -SELECT MIN(numberofmajorvvessels) AS minimum_numberofmajorvvessels -FROM heartAttack; -```",0.8195066452,gpt-3.5,594,1.0666879528171853,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`numberofmajorvvessels`) FROM `heartAttack`,Find the average numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000136,"SELECT AVG(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT AVG(numberofmajorvvessels) -FROM heartAttack; -```",0.5026578903,gpt-3.5,595,1.0085752080203447,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`thall`) FROM `heartAttack`,Find the maximum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000128,"SELECT MAX(thall) -FROM heartAttack;","```sql -SELECT MAX(thall) -FROM heartAttack; -```",0.4089379311,gpt-3.5,596,1.01163560852533,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`thall`) FROM `heartAttack`,Find the minimum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000128,"SELECT MIN(thall) -FROM heartAttack;","```sql -SELECT MIN(thall) -FROM heartAttack; -```",0.417034626,gpt-3.5,597,1.0317415986621163,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`thall`) FROM `heartAttack`,Find the average thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000134,"SELECT AVG(thall) AS average_thall -FROM heartAttack;","```sql -SELECT AVG(thall) AS average_thall -FROM heartAttack; -```",0.5140647888,gpt-3.5,598,1.027913356840264,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `nativecountry` FROM `adultCensus`,Show the different nativecountry in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001125,"SELECT DISTINCT nativecountry -FROM adultCensus;","```sql -SELECT DISTINCT nativecountry -FROM adultCensus; -```",0.4521532059,gpt-3.5,599,1.0175655288783896,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `adultCensus`,Show the different sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001105,"SELECT DISTINCT sex -FROM adultCensus;","```sql -SELECT DISTINCT sex -FROM adultCensus; -```",0.3917543888,gpt-3.5,600,1.0040090880437686,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `race` FROM `adultCensus`,Show the different race in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001105,"SELECT DISTINCT race -FROM adultCensus;","```sql -SELECT DISTINCT race -FROM adultCensus; -```",0.3567404747,gpt-3.5,601,1.020868972515309,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `workclass` FROM `adultCensus`,Show the different workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001125,"SELECT DISTINCT workclass -FROM adultCensus;","```sql -SELECT DISTINCT workclass -FROM adultCensus; -```",1.5117034912,gpt-3.5,602,0.9998417151267909,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `income` FROM `adultCensus`,Show the different income in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001105,"SELECT DISTINCT income -FROM adultCensus;","```sql -SELECT DISTINCT income -FROM adultCensus; -```",0.3981108665,gpt-3.5,603,1.0218720176164753,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `odor` FROM `mushrooms`,Show the different odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001065,"SELECT DISTINCT odor -FROM mushrooms;","```sql -SELECT DISTINCT odor -FROM mushrooms; -```",0.494838953,gpt-3.5,604,1.032285333952924,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillspacing` FROM `mushrooms`,Show the different gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001105,"SELECT DISTINCT gillspacing -FROM mushrooms;","```sql -SELECT DISTINCT gillspacing -FROM mushrooms; -```",0.3692824841,gpt-3.5,605,0.995124964204541,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capshape` FROM `mushrooms`,Show the different capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001085,"SELECT DISTINCT capshape -FROM mushrooms","```sql -SELECT DISTINCT capshape -FROM mushrooms -```",0.6183207035,gpt-3.5,606,1.0053720201112892,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillsize` FROM `mushrooms`,Show the different gillsize in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001105,"SELECT DISTINCT gillsize -FROM mushrooms;","```sql -SELECT DISTINCT gillsize -FROM mushrooms; -```",0.4055659771,gpt-3.5,607,1.0379302171367024,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capsurface` FROM `mushrooms`,Show the different capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001085,"SELECT DISTINCT capsurface -FROM mushrooms;","```sql -SELECT DISTINCT capsurface -FROM mushrooms; -```",0.4802753925,gpt-3.5,608,1.0334824857721716,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `education`, COUNT(*) FROM `adultCensus` GROUP BY `education`","For each education, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001215,"SELECT education, COUNT(*) -FROM adultCensus -GROUP BY education;","```sql -SELECT education, COUNT(*) -FROM adultCensus -GROUP BY education; -```",0.443710804,gpt-3.5,609,0.9941072706600121,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `maritalstatus`, COUNT(*) FROM `adultCensus` GROUP BY `maritalstatus`","For each maritalstatus, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001295,"SELECT maritalstatus, COUNT(*) AS num_rows -FROM adultCensus -GROUP BY maritalstatus;","```sql -SELECT maritalstatus, COUNT(*) AS num_rows -FROM adultCensus -GROUP BY maritalstatus; -```",0.4391040802,gpt-3.5,610,0.9992067909134305,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `race`, COUNT(*) FROM `adultCensus` GROUP BY `race`","For each race, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000126,"SELECT race, COUNT(*) AS row_count -FROM adultCensus -GROUP BY race;","```sql -SELECT race, COUNT(*) AS row_count -FROM adultCensus -GROUP BY race; -```",0.5901892185,gpt-3.5,611,1.020922239834585,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `nativecountry`, COUNT(*) FROM `adultCensus` GROUP BY `nativecountry`","For each nativecountry, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000125,"SELECT nativecountry, COUNT(*) -FROM adultCensus -GROUP BY nativecountry;","```sql -SELECT nativecountry, COUNT(*) -FROM adultCensus -GROUP BY nativecountry; -```",0.4527916908,gpt-3.5,612,0.9970791865438005,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `workclass`, COUNT(*) FROM `adultCensus` GROUP BY `workclass`","For each workclass, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000125,"SELECT workclass, COUNT(*) -FROM adultCensus -GROUP BY workclass;","```sql -SELECT workclass, COUNT(*) -FROM adultCensus -GROUP BY workclass; -```",0.4415404797,gpt-3.5,613,1.0069907136134815,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `race`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001345,"SELECT race, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY race;","```sql -SELECT race, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY race; -```",0.3932137489,gpt-3.5,614,1.0195793994805076,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `race`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001345,"SELECT race, MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus -GROUP BY race;","```sql -SELECT race, MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus -GROUP BY race; -```",0.7642524242,gpt-3.5,615,0.9971825876505006,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `race`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001345,"SELECT race, AVG(hoursperweek) AS avg_hoursperweek -FROM adultCensus -GROUP BY race;","```sql -SELECT race, AVG(hoursperweek) AS avg_hoursperweek -FROM adultCensus -GROUP BY race; -```",0.828794241,gpt-3.5,616,0.995885465424471,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `race`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001315,"SELECT race, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY race;","```sql -SELECT race, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY race; -```",1.2972035408,gpt-3.5,617,1.0047002940082714,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `education`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001345,"SELECT education, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY education;","```sql -SELECT education, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY education; -```",0.5366985798,gpt-3.5,618,1.0021011352156561,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `education`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001345,"SELECT education, MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus -GROUP BY education;","```sql -SELECT education, MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus -GROUP BY education; -```",1.3599786758,gpt-3.5,619,0.9989971821917095,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `education`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001345,"SELECT education, AVG(hoursperweek) AS avg_hoursperweek -FROM adultCensus -GROUP BY education","```sql -SELECT education, AVG(hoursperweek) AS avg_hoursperweek -FROM adultCensus -GROUP BY education -```",0.491859436,gpt-3.5,620,1.016135392301238,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `education`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001315,"SELECT education, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY education;","```sql -SELECT education, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY education; -```",0.8520729542,gpt-3.5,621,1.0027493791730515,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillcolor`, COUNT(*) FROM `mushrooms` GROUP BY `gillcolor`","For each gillcolor, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001245,"SELECT gillcolor, COUNT(*) -FROM mushrooms -GROUP BY gillcolor","```sql -SELECT gillcolor, COUNT(*) -FROM mushrooms -GROUP BY gillcolor -```",0.8652369976,gpt-3.5,622,0.9969167415549278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `bruises`, COUNT(*) FROM `mushrooms` GROUP BY `bruises`","For each bruises, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000122,"SELECT bruises, COUNT(*) AS num_rows -FROM mushrooms -GROUP BY bruises;","```sql -SELECT bruises, COUNT(*) AS num_rows -FROM mushrooms -GROUP BY bruises; -```",0.6201469898,gpt-3.5,623,1.0077613109179135,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillsize`, COUNT(*) FROM `mushrooms` GROUP BY `gillsize`","For each gillsize, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000129,"SELECT gillsize, COUNT(*) as num_rows -FROM mushrooms -GROUP BY gillsize;","```sql -SELECT gillsize, COUNT(*) as num_rows -FROM mushrooms -GROUP BY gillsize; -```",0.5914664268,gpt-3.5,624,1.0137680646457767,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `class`, COUNT(*) FROM `mushrooms` GROUP BY `class`","For each class, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT class, COUNT(*) as count -FROM mushrooms -GROUP BY class;","```sql -SELECT class, COUNT(*) as count -FROM mushrooms -GROUP BY class; -```",0.5081408024,gpt-3.5,625,0.9986273778722479,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `capsurface`, COUNT(*) FROM `mushrooms` GROUP BY `capsurface`","For each capsurface, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000121,"SELECT capsurface, COUNT(*) -FROM mushrooms -GROUP BY capsurface;","```sql -SELECT capsurface, COUNT(*) -FROM mushrooms -GROUP BY capsurface; -```",0.4400367737,gpt-3.5,626,1.0129945913544005,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) >= 10,Find all the race that have at least 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00013,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10;","```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10; -```",0.4269239902,gpt-3.5,627,1.009776779630484,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) <= 10,Find all the race that have at most 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00013,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10;","```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10; -```",0.4985086918,gpt-3.5,628,1.0310610299344691,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) >= 4,Find all the relationship that have at least 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00013,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4; -```",0.4768071175,gpt-3.5,629,1.0007064668649952,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) <= 4,Find all the relationship that have at most 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000136,"SELECT relationship, COUNT(*) as count -FROM adultCensus -GROUP BY relationship -HAVING count <= 4;","```sql -SELECT relationship, COUNT(*) as count -FROM adultCensus -GROUP BY relationship -HAVING count <= 4; -```",0.5441112518,gpt-3.5,630,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) >= 5,Find all the maritalstatus that have at least 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001335,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5;","```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5; -```",0.4591679573,gpt-3.5,631,1.0505131359700703,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) <= 5,Find all the maritalstatus that have at most 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001335,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5;","```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5; -```",0.5736351013,gpt-3.5,632,0.992960295587113,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) >= 42.72,List the nativecountry which average of hoursperweek is at least 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001435,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72; -```",0.5670940876,gpt-3.5,633,0.9851128814543555,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) <= 42.72,List the nativecountry which average of hoursperweek is at most 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001435,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72; -```",0.4975073338,gpt-3.5,634,1.0336904061355308,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) >= 270.33,List the nativecountry which summation of hoursperweek is at least 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000144,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33; -```",0.7868669033,gpt-3.5,635,1.007893575996235,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) <= 270.33,List the nativecountry which summation of hoursperweek is at most 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000144,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33; -```",0.6778140068,gpt-3.5,636,1.0021373461190697,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) >= 36.84,List the relationship which average of hoursperweek is at least 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00014,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84 -```",1.4624865055,gpt-3.5,637,1.0521001754179802,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) <= 36.84,List the relationship which average of hoursperweek is at most 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00014,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84 -```",0.7098240852,gpt-3.5,638,1.004476401794427,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) >= 162.2,List the relationship which summation of hoursperweek is at least 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001405,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2 -```",0.6158778667,gpt-3.5,639,1.0039473916611594,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) <= 162.2,List the relationship which summation of hoursperweek is at most 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001405,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2; -```",0.8096747398,gpt-3.5,640,1.062825674502504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) >= 5,Find all the capshape that have at least 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001295,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5;","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5; -```",0.5781137943,gpt-3.5,641,0.9969851633966028,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) <= 5,Find all the capshape that have at most 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001295,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5 -```",1.3857121468,gpt-3.5,642,0.9953256383885393,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) >= 6,Find all the capsurface that have at least 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001295,"SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6;","```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6; -```",0.8220684528,gpt-3.5,643,0.9932086117666138,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) <= 6,Find all the capsurface that have at most 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001295,"SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6","```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6 -```",1.0981767178,gpt-3.5,644,1.0282936839971115,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) >= 10,Find all the class that have at least 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000126,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10;","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10; -```",0.5287256241,gpt-3.5,645,1.0140712616918346,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) <= 10,Find all the class that have at most 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000126,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10;","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10; -```",1.3680784702,gpt-3.5,646,1.0112928826521985,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the workclass with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT workclass, maritalstatus -FROM adultCensus;","```sql -SELECT workclass, maritalstatus -FROM adultCensus; -```",0.5232121944,gpt-3.5,647,0.0,0.1,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the workclass with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000117,"SELECT DISTINCT workclass, race -FROM adultCensus;","```sql -SELECT DISTINCT workclass, race -FROM adultCensus; -```",0.4088122845,gpt-3.5,648,0.0,0.25,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the workclass with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000114,"SELECT DISTINCT workclass -FROM adultCensus;","```sql -SELECT DISTINCT workclass -FROM adultCensus; -```",0.5925552845,gpt-3.5,649,0.0,0.333,1.0,0.0,0.333,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the workclass with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,"SELECT DISTINCT workclass, nativecountry -FROM adultCensus;","```sql -SELECT DISTINCT workclass, nativecountry -FROM adultCensus; -```",0.3510320187,gpt-3.5,650,0.0,0.111,1.0,0.0,0.125,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the workclass with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000126,"SELECT DISTINCT workclass -FROM adultCensus -WHERE income = ' >50K';","```sql -SELECT DISTINCT workclass -FROM adultCensus -WHERE income = ' >50K'; -```",0.5621333122,gpt-3.5,651,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the education with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT education, maritalstatus -FROM adultCensus;","```sql -SELECT education, maritalstatus -FROM adultCensus; -```",0.3982095718,gpt-3.5,652,0.0,0.083,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `relationship`) = (SELECT COUNT(DISTINCT `relationship`) FROM `adultCensus`),What are the education with all the relationship in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000115,"SELECT DISTINCT education, relationship -FROM adultCensus;","```sql -SELECT DISTINCT education, relationship -FROM adultCensus; -```",0.5952880383,gpt-3.5,653,0.0,0.077,1.0,0.0,0.062,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the education with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001135,"SELECT education, race -FROM adultCensus;","```sql -SELECT education, race -FROM adultCensus; -```",0.7283816338,gpt-3.5,654,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the education with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000115,"SELECT DISTINCT education, sex -FROM adultCensus;","```sql -SELECT DISTINCT education, sex -FROM adultCensus; -```",0.3560538292,gpt-3.5,655,0.0,0.2,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the education with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001135,"SELECT education, income -FROM adultCensus;","```sql -SELECT education, income -FROM adultCensus; -```",0.3566601276,gpt-3.5,656,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the maritalstatus with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000117,"SELECT DISTINCT maritalstatus, race -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus, race -FROM adultCensus; -```",0.3890936375,gpt-3.5,657,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the maritalstatus with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT maritalstatus, sex -FROM adultCensus;","```sql -SELECT maritalstatus, sex -FROM adultCensus; -```",0.458666563,gpt-3.5,658,0.0,0.333,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the maritalstatus with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT maritalstatus, income -FROM adultCensus;","```sql -SELECT maritalstatus, income -FROM adultCensus; -```",0.5152668953,gpt-3.5,659,0.0,0.5,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the occupation with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000115,"SELECT DISTINCT occupation, race -FROM adultCensus;","```sql -SELECT DISTINCT occupation, race -FROM adultCensus; -```",0.3928272724,gpt-3.5,660,0.0,0.083,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the occupation with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001165,"SELECT occupation -FROM adultCensus -GROUP BY occupation;","```sql -SELECT occupation -FROM adultCensus -GROUP BY occupation; -```",0.4621024132,gpt-3.5,661,0.0,0.3,1.0,0.0,0.3,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the occupation with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001135,"SELECT occupation, income -FROM adultCensus;","```sql -SELECT occupation, income -FROM adultCensus; -```",0.3787939548,gpt-3.5,662,0.0,0.25,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the relationship with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000112,"SELECT DISTINCT race -FROM adultCensus;","```sql -SELECT DISTINCT race -FROM adultCensus; -```",0.4435005188,gpt-3.5,663,0.0,0.0,0.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the relationship with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000115,"SELECT DISTINCT relationship, sex -FROM adultCensus;","```sql -SELECT DISTINCT relationship, sex -FROM adultCensus; -```",0.3852829933,gpt-3.5,664,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the relationship with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001135,"SELECT relationship, income -FROM adultCensus","```sql -SELECT relationship, income -FROM adultCensus -```",0.3906371593,gpt-3.5,665,0.0,0.429,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the race with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000115,"SELECT DISTINCT race, sex -FROM adultCensus;","```sql -SELECT DISTINCT race, sex -FROM adultCensus; -```",2.034563303,gpt-3.5,666,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the race with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000117,"SELECT DISTINCT race, nativecountry -FROM adultCensus;","```sql -SELECT DISTINCT race, nativecountry -FROM adultCensus; -```",0.4464724064,gpt-3.5,667,0.0,0.2,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the race with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000121,"SELECT DISTINCT race -FROM adultCensus -WHERE income = 'income'","```sql -SELECT DISTINCT race -FROM adultCensus -WHERE income = 'income' -```",0.5450351238,gpt-3.5,668,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `sex` FROM `adultCensus` GROUP BY `sex` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the sex with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000124,"SELECT DISTINCT sex -FROM adultCensus -WHERE income = ' >50K';","```sql -SELECT DISTINCT sex -FROM adultCensus -WHERE income = ' >50K'; -```",0.3635187149,gpt-3.5,669,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the nativecountry with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001215,"SELECT nativecountry -FROM adultCensus -WHERE income = 'income'","```sql -SELECT nativecountry -FROM adultCensus -WHERE income = 'income' -```",0.5690739155,gpt-3.5,670,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the class with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT class -FROM mushrooms -WHERE capsurface = 'ALL';","```sql -SELECT class -FROM mushrooms -WHERE capsurface = 'ALL'; -```",0.374756813,gpt-3.5,671,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the class with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000146,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms)","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms) -```",0.5361807346,gpt-3.5,672,1.0214205091180417,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the class with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT class -FROM mushrooms -WHERE bruises = 'yes';","```sql -SELECT class -FROM mushrooms -WHERE bruises = 'yes'; -```",0.4101088047,gpt-3.5,673,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the class with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001195,"SELECT class -FROM mushrooms -WHERE gillattachment = 'all'","```sql -SELECT class -FROM mushrooms -WHERE gillattachment = 'all' -```",0.4085376263,gpt-3.5,674,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the class with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001195,"SELECT class -FROM mushrooms -WHERE gillspacing = 'all'","```sql -SELECT class -FROM mushrooms -WHERE gillspacing = 'all' -```",0.5627882481,gpt-3.5,675,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the class with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001195,"SELECT class -FROM mushrooms -WHERE gillsize = 'all';","```sql -SELECT class -FROM mushrooms -WHERE gillsize = 'all'; -```",0.3790354729,gpt-3.5,676,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the capshape with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001135,"SELECT capshape, capsurface -FROM mushrooms;","```sql -SELECT capshape, capsurface -FROM mushrooms; -```",0.3696303368,gpt-3.5,677,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the capshape with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000115,"SELECT DISTINCT capshape, capcolor -FROM mushrooms","```sql -SELECT DISTINCT capshape, capcolor -FROM mushrooms -```",0.5183055401,gpt-3.5,678,0.0,0.111,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capshape with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,"SELECT capshape -FROM mushrooms -WHERE bruises = 'bruises'","```sql -SELECT capshape -FROM mushrooms -WHERE bruises = 'bruises' -```",0.3838946819,gpt-3.5,679,0.0,0.667,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capshape with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001215,"SELECT capshape -FROM mushrooms -WHERE gillattachment = 'all'","```sql -SELECT capshape -FROM mushrooms -WHERE gillattachment = 'all' -```",0.6217918396,gpt-3.5,680,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capshape with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT capshape, gillspacing -FROM mushrooms;","```sql -SELECT capshape, gillspacing -FROM mushrooms; -```",0.3861010075,gpt-3.5,681,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capshape with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000117,"SELECT DISTINCT capshape, gillsize -FROM mushrooms;","```sql -SELECT DISTINCT capshape, gillsize -FROM mushrooms; -```",0.6650080681,gpt-3.5,682,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capsurface with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,"SELECT capsurface -FROM mushrooms -WHERE bruises = 'bruises'","```sql -SELECT capsurface -FROM mushrooms -WHERE bruises = 'bruises' -```",0.5014119148,gpt-3.5,683,0.0,1.0,1.0,0.0,0.429,0.333,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capsurface with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT capsurface, gillattachment -FROM mushrooms","```sql -SELECT capsurface, gillattachment -FROM mushrooms -```",0.5255811214,gpt-3.5,684,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capsurface with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT capsurface, gillspacing -FROM mushrooms;","```sql -SELECT capsurface, gillspacing -FROM mushrooms; -```",0.6640334129,gpt-3.5,685,0.0,0.4,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capsurface with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT capsurface, gillsize -FROM mushrooms","```sql -SELECT capsurface, gillsize -FROM mushrooms -```",0.3778514862,gpt-3.5,686,0.0,0.6,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capcolor with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,"SELECT capcolor -FROM mushrooms -WHERE bruises = 'bruises'","```sql -SELECT capcolor -FROM mushrooms -WHERE bruises = 'bruises' -```",0.3899080753,gpt-3.5,687,0.0,1.0,1.0,0.0,0.571,0.5,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capcolor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT capcolor, gillattachment -FROM mushrooms","```sql -SELECT capcolor, gillattachment -FROM mushrooms -```",0.4564352036,gpt-3.5,688,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capcolor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT capcolor, gillspacing -FROM mushrooms","```sql -SELECT capcolor, gillspacing -FROM mushrooms -```",0.6062505245,gpt-3.5,689,0.0,0.286,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capcolor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001155,"SELECT capcolor, gillsize -FROM mushrooms","```sql -SELECT capcolor, gillsize -FROM mushrooms -```",1.0166134834,gpt-3.5,690,0.0,0.571,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the bruises with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001255,"SELECT bruises, gillattachment -FROM mushrooms -WHERE gillattachment = 'attached'","```sql -SELECT bruises, gillattachment -FROM mushrooms -WHERE gillattachment = 'attached' -```",0.6459321976,gpt-3.5,691,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the bruises with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001195,"SELECT bruises -FROM mushrooms -WHERE gillspacing = 'all'","```sql -SELECT bruises -FROM mushrooms -WHERE gillspacing = 'all' -```",0.5829100609,gpt-3.5,692,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the bruises with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001195,"SELECT bruises -FROM mushrooms -WHERE gillsize = 'all';","```sql -SELECT bruises -FROM mushrooms -WHERE gillsize = 'all'; -```",0.5451509953,gpt-3.5,693,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the odor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001195,"SELECT odor -FROM mushrooms -WHERE gillattachment = 'all'","```sql -SELECT odor -FROM mushrooms -WHERE gillattachment = 'all' -```",0.521802187,gpt-3.5,694,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the odor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001195,"SELECT odor -FROM mushrooms -WHERE gillspacing = 'all';","```sql -SELECT odor -FROM mushrooms -WHERE gillspacing = 'all'; -```",0.5077190399,gpt-3.5,695,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the odor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000121,"SELECT DISTINCT odor -FROM mushrooms -WHERE gillsize = 'all';","```sql -SELECT DISTINCT odor -FROM mushrooms -WHERE gillsize = 'all'; -```",0.4525711536,gpt-3.5,696,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the gillattachment with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT gillattachment, gillspacing -FROM mushrooms;","```sql -SELECT gillattachment, gillspacing -FROM mushrooms; -```",0.8253889084,gpt-3.5,697,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillattachment with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT gillattachment, gillsize -FROM mushrooms;","```sql -SELECT gillattachment, gillsize -FROM mushrooms; -```",0.3500533104,gpt-3.5,698,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillspacing with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001235,"SELECT gillspacing -FROM mushrooms -WHERE gillsize IS NOT NULL;","```sql -SELECT gillspacing -FROM mushrooms -WHERE gillsize IS NOT NULL; -```",0.3730633259,gpt-3.5,699,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillcolor`) = (SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`),What are the gillspacing with all the gillcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT gillspacing, gillcolor -FROM mushrooms;","```sql -SELECT gillspacing, gillcolor -FROM mushrooms; -```",0.4078307152,gpt-3.5,700,0.0,0.091,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` ASC,Show all data ordered by hoursperweek in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001215,"SELECT * FROM adultCensus -ORDER BY hoursperweek ASC;","```sql -SELECT * FROM adultCensus -ORDER BY hoursperweek ASC; -```",0.3966083527,gpt-3.5,701,1.0046884307890422,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` DESC,Show all data ordered by hoursperweek in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000123,"SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC;","```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC; -```",0.5590269566,gpt-3.5,702,0.9980066264841446,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` ASC,Show all data ordered by income in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT * FROM adultCensus -ORDER BY income ASC;","```sql -SELECT * FROM adultCensus -ORDER BY income ASC; -```",0.5016748905,gpt-3.5,703,0.9939331203560755,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` DESC,Show all data ordered by income in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,"SELECT * -FROM adultCensus -ORDER BY income DESC;","```sql -SELECT * -FROM adultCensus -ORDER BY income DESC; -```",0.4270470142,gpt-3.5,704,0.9992917705944239,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` ASC,Project the maritalstatus ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001215,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC;","```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC; -```",0.4634792805,gpt-3.5,705,1.0030556974105087,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` DESC,Project the maritalstatus ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001215,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC;","```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC; -```",0.7000854015,gpt-3.5,706,1.0065691527465999,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` ASC,Project the relationship ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000118,"SELECT relationship -FROM adultCensus -ORDER BY relationship ASC;","```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship ASC; -```",0.3560931683,gpt-3.5,707,1.0148631129561683,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` DESC,Project the relationship ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000118,"SELECT relationship -FROM adultCensus -ORDER BY relationship DESC","```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship DESC -```",0.6981194019,gpt-3.5,708,1.037016893660774,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` ASC,Show all data ordered by class in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000115,"SELECT * -FROM mushrooms -ORDER BY class ASC;","```sql -SELECT * -FROM mushrooms -ORDER BY class ASC; -```",0.5250923634,gpt-3.5,709,1.0022531208916887,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` DESC,Show all data ordered by class in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000112,SELECT * FROM mushrooms ORDER BY class DESC;,"```sql -SELECT * FROM mushrooms ORDER BY class DESC; -```",0.4822587967,gpt-3.5,710,1.0370282948448701,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` ASC,Show all data ordered by gillattachment in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,"SELECT * -FROM mushrooms -ORDER BY gillattachment ASC;","```sql -SELECT * -FROM mushrooms -ORDER BY gillattachment ASC; -```",0.383459568,gpt-3.5,711,1.00495876199098,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` DESC,Show all data ordered by gillattachment in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT * FROM mushrooms -ORDER BY gillattachment DESC;","```sql -SELECT * FROM mushrooms -ORDER BY gillattachment DESC; -```",0.4457318783,gpt-3.5,712,1.0249458609418836,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` ASC,Project the gillspacing ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000121,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC;","```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC; -```",0.5077328682,gpt-3.5,713,1.004914103227177,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` DESC,Project the gillspacing ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000121,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC;","```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC; -```",0.5956029892,gpt-3.5,714,1.0517442268045796,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` ASC,Project the capcolor ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT capcolor -FROM mushrooms -ORDER BY capcolor ASC;","```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor ASC; -```",0.4040188789,gpt-3.5,715,1.0078456758734602,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` DESC,Project the capcolor ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001175,"SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC;","```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC; -```",0.403419733,gpt-3.5,716,1.0043703052440163,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `sex` FROM `adultCensus`,Show all sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00011,"SELECT DISTINCT sex -FROM adultCensus;","```sql -SELECT DISTINCT sex -FROM adultCensus; -```",0.2770292759,gpt-3.5,717,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `hoursperweek` FROM `adultCensus`,Show all hoursperweek in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001125,"SELECT hoursperweek -FROM adultCensus","```sql -SELECT hoursperweek -FROM adultCensus -```",1.1910562515,gpt-3.5,718,1.0364600989671917,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `workclass` FROM `adultCensus`,Show all workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000112,"SELECT DISTINCT workclass -FROM adultCensus;","```sql -SELECT DISTINCT workclass -FROM adultCensus; -```",0.3479437828,gpt-3.5,719,0.0,1.0,1.0,0.0,0.3,0.5,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000112,"SELECT DISTINCT maritalstatus -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus -FROM adultCensus; -```",0.3432123661,gpt-3.5,720,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `education` FROM `adultCensus`,Show all education in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001085,"SELECT education -FROM adultCensus;","```sql -SELECT education -FROM adultCensus; -```",0.4032108784,gpt-3.5,721,1.0160163285446253,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-ALL,SELECT * FROM `adultCensus`,Show all the rows in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001075,SELECT * FROM adultCensus;,"```sql -SELECT * FROM adultCensus; -```",0.3163409233,gpt-3.5,722,1.0042870971139406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000112,"SELECT DISTINCT maritalstatus -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus -FROM adultCensus; -```",0.4206943512,gpt-3.5,723,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `race`, `nativecountry` FROM `adultCensus`","Show all race, nativecountry in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001145,"SELECT race, nativecountry -FROM adultCensus","```sql -SELECT race, nativecountry -FROM adultCensus -```",0.406236887,gpt-3.5,724,1.0034155664600137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `nativecountry`, `occupation`, `race` FROM `adultCensus`","Show all nativecountry, occupation, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001185,"SELECT nativecountry, occupation, race -FROM adultCensus;","```sql -SELECT nativecountry, occupation, race -FROM adultCensus; -```",0.6563611031,gpt-3.5,725,0.9942749636543267,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `income`, `education`, `race` FROM `adultCensus`","Show all occupation, income, education, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT occupation, income, education, race -FROM adultCensus;","```sql -SELECT occupation, income, education, race -FROM adultCensus; -```",0.4017472267,gpt-3.5,726,1.3028780802026054,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `race`, `relationship`, `workclass`, `maritalstatus` FROM `adultCensus`","Show all occupation, race, relationship, workclass, maritalstatus in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001285,"SELECT occupation, race, relationship, workclass, maritalstatus -FROM adultCensus;","```sql -SELECT occupation, race, relationship, workclass, maritalstatus -FROM adultCensus; -```",0.4711165428,gpt-3.5,727,1.0029637677812302,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education` FROM `adultCensus`","Show all sex, nativecountry, race, workclass, relationship, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001325,"SELECT sex, nativecountry, race, workclass, relationship, education -FROM adultCensus;","```sql -SELECT sex, nativecountry, race, workclass, relationship, education -FROM adultCensus; -```",0.503288269,gpt-3.5,728,1.0121537279625008,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, `relationship` FROM `adultCensus`","Show all income, education, sex, race, maritalstatus, occupation, relationship in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001345,"SELECT income, education, sex, race, maritalstatus, occupation, relationship -FROM adultCensus;","```sql -SELECT income, education, sex, race, maritalstatus, occupation, relationship -FROM adultCensus; -```",0.5685780048,gpt-3.5,729,1.0117924828419291,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `maritalstatus`, `relationship`, `workclass`, `sex`, `nativecountry`, `hoursperweek`, `income`, `education` FROM `adultCensus`","Show all maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001465,"SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education -FROM adultCensus;","```sql -SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education -FROM adultCensus; -```",0.564879179,gpt-3.5,730,1.0295906210496752,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `hoursperweek`, `race`, `maritalstatus`, `sex`, `relationship`, `nativecountry`, `income`, `occupation`, `workclass` FROM `adultCensus`","Show all hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001505,"SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass -FROM adultCensus;","```sql -SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass -FROM adultCensus; -```",0.6080958843,gpt-3.5,731,1.0049101351124725,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `odor` FROM `mushrooms`,Show all odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000106,"SELECT DISTINCT odor -FROM mushrooms","```sql -SELECT DISTINCT odor -FROM mushrooms -```",0.3853111267,gpt-3.5,732,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001085,"SELECT gillspacing -FROM mushrooms","```sql -SELECT gillspacing -FROM mushrooms -```",0.9624896049,gpt-3.5,733,1.0212313479483146,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capshape` FROM `mushrooms`,Show all capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001065,"SELECT capshape -FROM mushrooms","```sql -SELECT capshape -FROM mushrooms -```",0.4061214924,gpt-3.5,734,1.0108313556556987,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capsurface` FROM `mushrooms`,Show all capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000108,"SELECT DISTINCT capsurface -FROM mushrooms;","```sql -SELECT DISTINCT capsurface -FROM mushrooms; -```",0.3824400902,gpt-3.5,735,0.0,1.0,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `bruises` FROM `mushrooms`,Show all bruises in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000112,SELECT * FROM mushrooms WHERE bruises = 'bruises';,"```sql -SELECT * FROM mushrooms WHERE bruises = 'bruises'; -```",0.3719339371,gpt-3.5,736,0.0,0.043,0.5,0.0,0.35,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-ALL,SELECT * FROM `mushrooms`,Show all the rows in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001035,SELECT * FROM mushrooms;,"```sql -SELECT * FROM mushrooms; -```",0.4979350567,gpt-3.5,737,1.0008987111034844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001085,"SELECT gillspacing -FROM mushrooms","```sql -SELECT gillspacing -FROM mushrooms -```",0.6766381264,gpt-3.5,738,1.025878275544585,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `class` FROM `mushrooms`","Show all odor, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00011,"SELECT DISTINCT odor, class -FROM mushrooms;","```sql -SELECT DISTINCT odor, class -FROM mushrooms; -```",0.3809933662,gpt-3.5,739,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `gillattachment`, `gillspacing` FROM `mushrooms`","Show all capcolor, gillattachment, gillspacing in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001225,"SELECT capcolor, gillattachment, gillspacing -FROM mushrooms;","```sql -SELECT capcolor, gillattachment, gillspacing -FROM mushrooms; -```",0.471560955,gpt-3.5,740,0.9831011616365183,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `gillcolor`, `odor`, `gillattachment` FROM `mushrooms`","Show all capsurface, gillcolor, odor, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001265,"SELECT capsurface, gillcolor, odor, gillattachment -FROM mushrooms;","```sql -SELECT capsurface, gillcolor, odor, gillattachment -FROM mushrooms; -```",0.6994974613,gpt-3.5,741,1.0769657708000597,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `gillcolor`, `bruises`, `gillsize`, `gillattachment` FROM `mushrooms`","Show all odor, gillcolor, bruises, gillsize, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001325,"SELECT odor, gillcolor, bruises, gillsize, gillattachment -FROM mushrooms;","```sql -SELECT odor, gillcolor, bruises, gillsize, gillattachment -FROM mushrooms; -```",0.6227779388,gpt-3.5,742,1.0186235672704766,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor` FROM `mushrooms`","Show all capsurface, class, odor, gillcolor, bruises, capcolor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001325,"SELECT capsurface, class, odor, gillcolor, bruises, capcolor -FROM mushrooms;","```sql -SELECT capsurface, class, odor, gillcolor, bruises, capcolor -FROM mushrooms; -```",0.5369505882,gpt-3.5,743,1.0215242008873577,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises` FROM `mushrooms`","Show all gillattachment, gillspacing, capshape, class, capsurface, odor, bruises in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001405,"SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises -FROM mushrooms","```sql -SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises -FROM mushrooms -```",0.4987642765,gpt-3.5,744,1.0003599532177405,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class` FROM `mushrooms`","Show all capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001505,"SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class -FROM mushrooms;","```sql -SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class -FROM mushrooms; -```",0.6605062485,gpt-3.5,745,1.0363456550461296,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor` FROM `mushrooms`","Show all capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001545,"SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor -FROM mushrooms;","```sql -SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor -FROM mushrooms; -```",0.5999102592,gpt-3.5,746,1.005299519195871,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` == 'Husband',Show the data of the table adultCensus where relationship is equal to Husband,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT * -FROM adultCensus -WHERE relationship = 'Husband';","```sql -SELECT * -FROM adultCensus -WHERE relationship = 'Husband'; -```",0.3810617924,gpt-3.5,747,1.0186116032547974,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Own-child',Show the data of the table adultCensus where relationship is different from Own-child,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001225,"SELECT * -FROM adultCensus -WHERE relationship <> 'Own-child';","```sql -SELECT * -FROM adultCensus -WHERE relationship <> 'Own-child'; -```",0.439895153,gpt-3.5,748,1.0094434684768705,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Wife',Show the data of the table adultCensus where relationship not equal to Wife,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT * -FROM adultCensus -WHERE relationship <> 'Wife';","```sql -SELECT * -FROM adultCensus -WHERE relationship <> 'Wife'; -```",0.4251611233,gpt-3.5,749,1.031073928078723,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` == 'Some-college',Show the data of the table adultCensus where education is equal to Some-college,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000123,"SELECT * -FROM adultCensus -WHERE education = 'Some-college';","```sql -SELECT * -FROM adultCensus -WHERE education = 'Some-college'; -```",0.4032871723,gpt-3.5,750,1.0003642978479734,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != '10th',Show the data of the table adultCensus where education is different from 10th,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001215,"SELECT * -FROM adultCensus -WHERE education != '10th';","```sql -SELECT * -FROM adultCensus -WHERE education != '10th'; -```",0.784062624,gpt-3.5,751,1.0482438438570583,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != 'Masters',Show the data of the table adultCensus where education not equal to Masters,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000122,"SELECT * -FROM adultCensus -WHERE education <> 'Masters';","```sql -SELECT * -FROM adultCensus -WHERE education <> 'Masters'; -```",0.4297227859,gpt-3.5,752,0.9831542853481989,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` == 'Germany',Show the data of the table adultCensus where nativecountry is equal to Germany,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001225,"SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany';","```sql -SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany'; -```",0.3321480751,gpt-3.5,753,0.989113231773892,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'United-States',Show the data of the table adultCensus where nativecountry is different from United-States,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001235,SELECT * FROM adultCensus WHERE nativecountry <> 'United-States';,"```sql -SELECT * FROM adultCensus WHERE nativecountry <> 'United-States'; -```",0.4610362053,gpt-3.5,754,1.0068350437223665,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'Mexico',Show the data of the table adultCensus where nativecountry not equal to Mexico,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000121,"SELECT * FROM adultCensus -WHERE nativecountry <> 'Mexico';","```sql -SELECT * FROM adultCensus -WHERE nativecountry <> 'Mexico'; -```",0.4658765793,gpt-3.5,755,0.989958459279365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` > 40,Show the data of the table adultCensus where hoursperweek is greater than 40,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000125,"SELECT * -FROM adultCensus -WHERE hoursperweek > 40;","```sql -SELECT * -FROM adultCensus -WHERE hoursperweek > 40; -```",0.5703830719,gpt-3.5,756,1.0559002810853582,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` < 60,Show the data of the table adultCensus where hoursperweek is less than 60,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001235,"SELECT * FROM adultCensus -WHERE hoursperweek < 60;","```sql -SELECT * FROM adultCensus -WHERE hoursperweek < 60; -```",0.5569307804,gpt-3.5,757,1.0047704177537755,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` == 'attached',Show the data of the table mushrooms where gillattachment is equal to attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT * -FROM mushrooms -WHERE gillattachment = 'attached';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment = 'attached'; -```",0.3360774517,gpt-3.5,758,1.0434883807961992,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'attached',Show the data of the table mushrooms where gillattachment is different from attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,"SELECT * -FROM mushrooms -WHERE gillattachment <> 'attached';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment <> 'attached'; -```",0.4673228264,gpt-3.5,759,0.9934235073407592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'free',Show the data of the table mushrooms where gillattachment not equal to free,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT * -FROM mushrooms -WHERE gillattachment != 'free'","```sql -SELECT * -FROM mushrooms -WHERE gillattachment != 'free' -```",0.7662169933,gpt-3.5,760,1.030334263354683,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` == 'narrow',Show the data of the table mushrooms where gillsize is equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT * -FROM mushrooms -WHERE gillsize = 'narrow';","```sql -SELECT * -FROM mushrooms -WHERE gillsize = 'narrow'; -```",0.339838028,gpt-3.5,761,0.9837758210902957,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize is different from narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT * FROM mushrooms -WHERE gillsize <> 'narrow';","```sql -SELECT * FROM mushrooms -WHERE gillsize <> 'narrow'; -```",0.3558909893,gpt-3.5,762,1.0290447726298995,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize not equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000119,SELECT * FROM mushrooms WHERE gillsize != 'narrow';,"```sql -SELECT * FROM mushrooms WHERE gillsize != 'narrow'; -```",0.3361055851,gpt-3.5,763,1.0215425659955906,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` == 'no',Show the data of the table mushrooms where bruises is equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001165,"SELECT * -FROM mushrooms -WHERE bruises = 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises = 'no'; -```",0.3783013821,gpt-3.5,764,0.9979006465074646,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises is different from no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001165,"SELECT * -FROM mushrooms -WHERE bruises <> 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises <> 'no'; -```",0.5821523666,gpt-3.5,765,1.01251130870641,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises not equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001135,SELECT * FROM mushrooms WHERE bruises != 'no';,"```sql -SELECT * FROM mushrooms WHERE bruises != 'no'; -```",0.3835184574,gpt-3.5,766,1.0554047985237094,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `race`) FROM `adultCensus`,How many different race are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001225,"SELECT COUNT(DISTINCT race) AS num_of_race -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT race) AS num_of_race -FROM adultCensus; -```",0.502409935,gpt-3.5,767,1.0131035626314862,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`,How many different nativecountry are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000126,"SELECT COUNT(DISTINCT nativecountry) AS num_different_nativecountries -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT nativecountry) AS num_different_nativecountries -FROM adultCensus; -```",0.4579458237,gpt-3.5,768,1.0145270687432784,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `workclass`) FROM `adultCensus`,How many different workclass are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001245,"SELECT COUNT(DISTINCT workclass) AS different_workclass -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT workclass) AS different_workclass -FROM adultCensus; -```",0.4262552261,gpt-3.5,769,1.024811905438592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `education`) FROM `adultCensus`,How many different education are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001225,"SELECT COUNT(DISTINCT education) AS total_education -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT education) AS total_education -FROM adultCensus; -```",0.6074688435,gpt-3.5,770,1.027350194601167,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `income`) FROM `adultCensus`,How many different income are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001225,"SELECT COUNT(DISTINCT income) AS num_different_income -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT income) AS num_different_income -FROM adultCensus; -```",0.6576275826,gpt-3.5,771,1.0314956527327508,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`hoursperweek`) FROM `adultCensus`,Find the maximum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001235,"SELECT MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus;","```sql -SELECT MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus; -```",4.9479720592,gpt-3.5,772,1.0059005179504588,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`hoursperweek`) FROM `adultCensus`,Find the minimum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000116,"SELECT MIN(hoursperweek) -FROM adultCensus;","```sql -SELECT MIN(hoursperweek) -FROM adultCensus; -```",0.5745344162,gpt-3.5,773,1.009873336311197,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`hoursperweek`) FROM `adultCensus`,Find the average hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001235,"SELECT AVG(hoursperweek) AS average_hoursperweek -FROM adultCensus;","```sql -SELECT AVG(hoursperweek) AS average_hoursperweek -FROM adultCensus; -```",0.4660887718,gpt-3.5,774,1.0023492108736338,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`,How many different capsurface are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001205,"SELECT COUNT(DISTINCT capsurface) AS num_capsurface -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT capsurface) AS num_capsurface -FROM mushrooms; -```",0.358058691,gpt-3.5,775,0.9645157002805281,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`,How many different gillattachment are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001255,"SELECT COUNT(DISTINCT gillattachment) AS num_different_gillattachment -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillattachment) AS num_different_gillattachment -FROM mushrooms; -```",0.5368585587,gpt-3.5,776,1.0211528896002766,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `odor`) FROM `mushrooms`,How many different odor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00012,"SELECT COUNT(DISTINCT odor) AS total_diff_odor -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT odor) AS total_diff_odor -FROM mushrooms; -```",0.4153642654,gpt-3.5,777,1.0014468806366617,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`,How many different gillsize are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000124,"SELECT COUNT(DISTINCT gillsize) as different_gillsize -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillsize) as different_gillsize -FROM mushrooms; -```",0.5793488026,gpt-3.5,778,1.0169864038716265,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`,How many different gillcolor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0001285,"SELECT COUNT(DISTINCT gillcolor) AS Number_Of_Different_Gillcolors -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillcolor) AS Number_Of_Different_Gillcolors -FROM mushrooms; -```",0.4987447262,gpt-3.5,779,1.0394856135544641,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `devicetype` FROM `fitnessTrackers`,Show the different devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004905,SELECT DISTINCT devicetype FROM fitnessTrackers;," - -To fetch the different `devicetype` values from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT devicetype FROM fitnessTrackers; -``` - -This query will return all unique values in the `devicetype` column of the `fitnessTrackers` table.",3.9605691433,DeepSeek-R1-Distill-Llama-70B,0,1.0517688726804617,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `modelname` FROM `fitnessTrackers`,Show the different modelname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004662,SELECT DISTINCT modelname FROM fitnessTrackers;," - -To fetch the different `modelname`s from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT modelname FROM fitnessTrackers; -``` - -This query will return all unique values in the `modelname` column of the `fitnessTrackers` table.",3.6681149006,DeepSeek-R1-Distill-Llama-70B,1,1.0093797225227836,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `color` FROM `fitnessTrackers`,Show the different color in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004158,SELECT DISTINCT color FROM fitnessTrackers;," - -To fetch the different colors from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT color FROM fitnessTrackers; -``` - -This query will return all unique color values present in the `fitnessTrackers` table.",3.1747591496,DeepSeek-R1-Distill-Llama-70B,2,1.0231782628899129,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `display` FROM `fitnessTrackers`,Show the different display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003924,SELECT DISTINCT display FROM fitnessTrackers;," - -To show the different displays in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT display FROM fitnessTrackers; -``` - -This query will return all unique values in the `display` column of the `fitnessTrackers` table.",2.9223909378,DeepSeek-R1-Distill-Llama-70B,3,1.0035596370636544,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `brandname` FROM `fitnessTrackers`,Show the different brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004113,SELECT DISTINCT brandname FROM fitnessTrackers;," - -To fetch the different brand names from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT brandname FROM fitnessTrackers; -``` - -This query will return all unique brand names present in the `fitnessTrackers` table.",3.3744239807,DeepSeek-R1-Distill-Llama-70B,4,0.9924432019364962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `transactionno` FROM `salesTransactions`,Show the different transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003762,SELECT DISTINCT transactionno FROM salesTransactions;," - -To show the different `transactionno` values in the `salesTransactions` table, you can use the `SELECT DISTINCT` statement. Here's the SQL code: - -```sql -SELECT DISTINCT transactionno FROM salesTransactions; -```",3.2231333256,DeepSeek-R1-Distill-Llama-70B,5,1.0145079512758357,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `date` FROM `salesTransactions`,Show the different date in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000468,SELECT DISTINCT date FROM salesTransactions;," - -To show the different dates in the `salesTransactions` table, you can use the `DISTINCT` keyword in SQL to fetch unique dates. Here's the SQL code: - -```sql -SELECT DISTINCT date FROM salesTransactions; -```",3.631462574,DeepSeek-R1-Distill-Llama-70B,6,1.045395919258318,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productno` FROM `salesTransactions`,Show the different productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005733,SELECT DISTINCT productno FROM salesTransactions;," - -To fetch the different `productno` values from the `salesTransactions` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here is the SQL code: - -```sql -SELECT DISTINCT productno FROM salesTransactions; -```",5.1259884834,DeepSeek-R1-Distill-Llama-70B,7,1.0291918803341293,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productname` FROM `salesTransactions`,Show the different productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004185,SELECT DISTINCT productname FROM salesTransactions;," - -To retrieve the different product names from the `salesTransactions` table, you can use the `DISTINCT` keyword to ensure you get unique product names. Here's the SQL code: - -```sql -SELECT DISTINCT productname FROM salesTransactions; -```",3.4067537785,DeepSeek-R1-Distill-Llama-70B,8,1.017603111841618,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `country` FROM `salesTransactions`,Show the different country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005031,"SELECT DISTINCT ""country"" FROM ""salesTransactions"";"," - -To fetch the different countries from the `salesTransactions` table, you can use the `DISTINCT` keyword to retrieve unique country values. Here's the SQL code: - -```sql -SELECT DISTINCT ""country"" FROM ""salesTransactions""; -```",4.3514924049,DeepSeek-R1-Distill-Llama-70B,9,1.0234604498436408,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `display`, COUNT(*) FROM `fitnessTrackers` GROUP BY `display`","For each display, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000801,"SELECT display, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY display;"," - -To count the number of rows for each display in the `fitnessTrackers` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT display, COUNT(*) AS count -FROM fitnessTrackers -GROUP BY display; -``` - -This query will return the number of rows for each unique `display` value in the `fitnessTrackers` table.",7.680991888,DeepSeek-R1-Distill-Llama-70B,10,1.00624020160011,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `devicetype`, COUNT(*) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004941,"SELECT devicetype, COUNT(*) as rowcount -FROM fitnessTrackers -GROUP BY devicetype;"," - -To count the number of rows for each `devicetype` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT devicetype, COUNT(*) as rowcount -FROM fitnessTrackers -GROUP BY devicetype; -``` - -This query will: -1. Select the `devicetype` column -2. Count the number of rows for each `devicetype` using `COUNT(*)` -3. Group the results by the `devicetype` column -4. Return the results with the count of rows for each device type",3.9231088161,DeepSeek-R1-Distill-Llama-70B,11,1.0519497127206527,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `modelname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `modelname`","For each modelname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004761,"SELECT modelname, COUNT(*) AS rowcount -FROM fitnessTrackers -GROUP BY modelname;"," - -To count the number of rows for each `modelname` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT modelname, COUNT(*) AS rowcount -FROM fitnessTrackers -GROUP BY modelname; -``` - -This query will: -1. Group all rows in the `fitnessTrackers` table by the `modelname` column. -2. Count the number of rows in each group. -3. Return the `modelname` along with the count of rows for each group.",3.8557224274,DeepSeek-R1-Distill-Llama-70B,12,1.000158835209473,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `strapmaterial`, COUNT(*) FROM `fitnessTrackers` GROUP BY `strapmaterial`","For each strapmaterial, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005265,"SELECT strapmaterial, COUNT(*) AS count_of_rows -FROM fitnessTrackers -GROUP BY strapmaterial;"," - -To count the number of rows for each `strapmaterial` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT strapmaterial, COUNT(*) AS count_of_rows -FROM fitnessTrackers -GROUP BY strapmaterial; -``` - -This query will: -1. Group all rows in the `fitnessTrackers` table by the `strapmaterial` column. -2. Count the number of rows for each group (each unique `strapmaterial`). -3. Return the results with the `strapmaterial` and the corresponding count of rows.",4.4669816494,DeepSeek-R1-Distill-Llama-70B,13,0.9980078810780534,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `brandname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `brandname`","For each brandname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005283,"SELECT brandname, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY brandname;"," - -To count the number of rows for each `brandname` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT brandname, COUNT(*) AS row_count -FROM fitnessTrackers -GROUP BY brandname; -``` - -This query will: -1. Group all rows in the `fitnessTrackers` table by the `brandname` column. -2. Count the number of rows for each group (i.e., for each `brandname`). -3. Return a result set with two columns: `brandname` and `row_count` (where `row_count` is the number of rows for each `brandname`).",4.4658691883,DeepSeek-R1-Distill-Llama-70B,14,1.041350597166887,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006489,"SELECT devicetype AS ""Device Type"", MIN(sellingprice) AS ""Minimum Selling Price"" -FROM fitnessTrackers -GROUP BY devicetype -ORDER BY devicetype;"," - -To find the minimum selling price for each device type in the `fitnessTrackers` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT devicetype AS ""Device Type"", MIN(sellingprice) AS ""Minimum Selling Price"" -FROM fitnessTrackers -GROUP BY devicetype -ORDER BY devicetype; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `devicetype` column. -2. Calculate the minimum `sellingprice` for each group of `devicetype`. -3. Return the results sorted by `devicetype` for better readability.",5.7751121521,DeepSeek-R1-Distill-Llama-70B,15,1.0012089890086873,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006291,"SELECT devicetype AS ""Device Type"", MAX(sellingprice) AS ""Max Selling Price"" -FROM fitnessTrackers -GROUP BY devicetype;"," - -To find the maximum selling price for each device type in the `fitnessTrackers` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT devicetype AS ""Device Type"", MAX(sellingprice) AS ""Max Selling Price"" -FROM fitnessTrackers -GROUP BY devicetype; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `devicetype` column. -2. For each group (i.e., for each device type), it will calculate the maximum value of the `sellingprice` column. -3. Return a result set with two columns: `Device Type` (the name of the device type) and `Max Selling Price` (the maximum selling price for that device type).",5.3432753086,DeepSeek-R1-Distill-Llama-70B,16,1.0111092118825171,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005445,"SELECT devicetype, AVG(sellingprice) AS avg_sellingprice -FROM fitnessTrackers -GROUP BY devicetype;"," - -To find the average selling price for each device type in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT devicetype, AVG(sellingprice) AS avg_sellingprice -FROM fitnessTrackers -GROUP BY devicetype; -``` - -This query will: -1. Group all records in the `fitnessTrackers` table by the `devicetype` column. -2. Calculate the average `sellingprice` for each group. -3. Return a result set with two columns: `devicetype` and `avg_sellingprice` (the average selling price for each device type).",4.1213262081,DeepSeek-R1-Distill-Llama-70B,17,1.0386848243819686,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007281,"SELECT - devicetype AS DeviceType, - SUM(sellingprice) AS TotalSellingPrice -FROM - fitnessTrackers -GROUP BY - devicetype -ORDER BY - DeviceType ASC;"," - -To answer the question, we need to calculate the sum of the `sellingprice` for each `devicetype` in the `fitnessTrackers` table. Here's the SQL code to achieve this: - -```sql -SELECT - devicetype AS DeviceType, - SUM(sellingprice) AS TotalSellingPrice -FROM - fitnessTrackers -GROUP BY - devicetype -ORDER BY - DeviceType ASC; -``` - -### Explanation: -1. **SELECT Clause**: We select the `devicetype` column and use the `SUM()` function to calculate the total `sellingprice` for each device type. -2. **FROM Clause**: We specify the table `fitnessTrackers` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `devicetype` column to ensure the sum is calculated for each unique device type. -4. **ORDER BY Clause**: We sort the results by `devicetype` in ascending order for better readability. - -This query will return a result set with two columns: -- `DeviceType`: The type of the fitness tracker device. -- `TotalSellingPrice`: The sum of the `sellingprice` for each device type.",6.2519221306,DeepSeek-R1-Distill-Llama-70B,18,0.9941821330362054,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005697,"SELECT - devicetype, - MIN(averagebatterylife) AS min_avg_battery -FROM - fitnessTrackers -GROUP BY - devicetype;"," - -To find the minimum average battery life for each device type in the `fitnessTrackers` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - devicetype, - MIN(averagebatterylife) AS min_avg_battery -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This query will return the minimum average battery life for each device type in your table.",4.6025090218,DeepSeek-R1-Distill-Llama-70B,19,1.0095906617333184,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005931,"SELECT devicetype, MAX(averagebatterylife) AS max_average_battery_life -FROM fitnessTrackers -GROUP BY devicetype;"," - -To find the maximum average battery life for each device type in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, MAX(averagebatterylife) AS max_average_battery_life -FROM fitnessTrackers -GROUP BY devicetype; -``` - -This query: -1. Groups the rows in the `fitnessTrackers` table by the `devicetype` column. -2. For each group (i.e., for each device type), it calculates the maximum value of the `averagebatterylife` column. -3. Returns the `devicetype` along with the corresponding maximum average battery life, aliased as `max_average_battery_life` for clarity.",5.0074617863,DeepSeek-R1-Distill-Llama-70B,20,1.0423828281296998,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005067,"SELECT - devicetype AS device_type, - AVG(averagebatterylife) AS avg_battery_life -FROM - fitnessTrackers -GROUP BY - devicetype -ORDER BY - devicetype;"," - -To find the average of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - devicetype AS device_type, - AVG(averagebatterylife) AS avg_battery_life -FROM - fitnessTrackers -GROUP BY - devicetype -ORDER BY - devicetype; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `devicetype` column. -2. Calculate the average value of `averagebatterylife` for each group. -3. Return the results sorted by `devicetype` for better readability.",4.4989492893,DeepSeek-R1-Distill-Llama-70B,21,1.0153594529740655,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005742,"SELECT devicetype, SUM(averagebatterylife) AS total_averagebatterylife -FROM fitnessTrackers -GROUP BY devicetype;"," - -To fetch the sum of `averagebatterylife` for each `devicetype` from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, SUM(averagebatterylife) AS total_averagebatterylife -FROM fitnessTrackers -GROUP BY devicetype; -``` - -This query: -1. Selects the `devicetype` column. -2. Calculates the sum of `averagebatterylife` for each `devicetype` using the `SUM()` function. -3. Groups the results by `devicetype` using the `GROUP BY` clause. -4. Aliases the sum column as `total_averagebatterylife` for better readability.",4.8548080921,DeepSeek-R1-Distill-Llama-70B,22,1.0156156784602604,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005787,"SELECT display, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY display;"," - -To find the minimum selling price for each display type in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT display, MIN(sellingprice) AS min_sellingprice -FROM fitnessTrackers -GROUP BY display; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `display` column. -2. For each group (i.e., for each unique display type), it will calculate the minimum value of the `sellingprice` column. -3. Return a result set with two columns: `display` (the display type) and `min_sellingprice` (the minimum selling price for that display type).",5.3979945183,DeepSeek-R1-Distill-Llama-70B,23,1.0129270543694042,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006174,"SELECT display, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY display;"," - -To find the maximum selling price for each display type in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT display, MAX(sellingprice) AS max_sellingprice -FROM fitnessTrackers -GROUP BY display; -``` - -This query will return the maximum selling price for each unique display type in your table.",5.6017453671,DeepSeek-R1-Distill-Llama-70B,24,1.0094394286654504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000558,"SELECT - display, - AVG(sellingprice) AS average_sellingprice -FROM - fitnessTrackers -GROUP BY - display;"," - -To find the average selling price for each display type in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - display, - AVG(sellingprice) AS average_sellingprice -FROM - fitnessTrackers -GROUP BY - display; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `display` column. -2. Calculate the average `sellingprice` for each group. -3. Return the results with the `display` name and its corresponding average selling price.",4.7369349003,DeepSeek-R1-Distill-Llama-70B,25,1.0053487995274888,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006264,"SELECT - display, - SUM(sellingprice) AS total_sellingprice -FROM - fitnessTrackers -GROUP BY - display;"," - -To find the sum of `sellingprice` for each `display` in the `fitnessTrackers` table, you can use the SQL `GROUP BY` clause along with the `SUM()` function. Here's the SQL code: - -```sql -SELECT - display, - SUM(sellingprice) AS total_sellingprice -FROM - fitnessTrackers -GROUP BY - display; -``` - -This query will: -1. Group all rows in the `fitnessTrackers` table by the `display` column. -2. Calculate the sum of `sellingprice` for each group of `display`. -3. Return the result with two columns: `display` and `total_sellingprice` (the sum of `sellingprice` for each `display`).",5.3229031563,DeepSeek-R1-Distill-Llama-70B,26,0.985234920290214,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005517,"SELECT - display AS Display, - MIN(averagebatterylife) AS Min_Avg_Battery_Life -FROM - fitnessTrackers -GROUP BY - display;"," - -To find the minimum average battery life for each display type in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT - display AS Display, - MIN(averagebatterylife) AS Min_Avg_Battery_Life -FROM - fitnessTrackers -GROUP BY - display; -``` - -This query will return the minimum average battery life for each unique display type in your table.",4.383633852,DeepSeek-R1-Distill-Llama-70B,27,1.021291517974921,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000594,"SELECT - display, - MAX(averagebatterylife) AS max_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display;"," - -To find the maximum average battery life for each display type in the `fitnessTrackers` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - display, - MAX(averagebatterylife) AS max_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display; -``` - -This query will return the maximum average battery life for each unique display type in your table.",4.9656720161,DeepSeek-R1-Distill-Llama-70B,28,1.0080165882844663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005868,"SELECT - display, - AVG(averagebatterylife) AS average_battery_life -FROM - fitnessTrackers -GROUP BY - display;"," - -To find the average `averagebatterylife` for each `display` in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - display, - AVG(averagebatterylife) AS average_battery_life -FROM - fitnessTrackers -GROUP BY - display; -``` - -This query will: -1. Group all records in the `fitnessTrackers` table by the `display` column. -2. Calculate the average value of `averagebatterylife` for each group (i.e., for each `display`). -3. Return a result set with two columns: `display` and `average_battery_life` (the average battery life for each display).",4.8174517155,DeepSeek-R1-Distill-Llama-70B,29,1.0277439502575592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005922,"SELECT - ""display"" AS ""Display"", - SUM(""averagebatterylife"") AS ""TotalAverageBatteryLife"" -FROM - fitnessTrackers -GROUP BY - ""display"";"," - -To fetch the sum of `averagebatterylife` for each `display` in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT - ""display"" AS ""Display"", - SUM(""averagebatterylife"") AS ""TotalAverageBatteryLife"" -FROM - fitnessTrackers -GROUP BY - ""display""; -``` - -This query will: -1. Select the `display` column and alias it as ""Display"". -2. Calculate the sum of `averagebatterylife` for each `display` and alias it as ""TotalAverageBatteryLife"". -3. Group the results by the `display` column to ensure the sum is calculated for each unique display value.",4.9959216118,DeepSeek-R1-Distill-Llama-70B,30,0.9948524201094533,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `transactionno`, COUNT(*) FROM `salesTransactions` GROUP BY `transactionno`","For each transactionno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000495,"SELECT transactionno, COUNT(*) as row_count -FROM salesTransactions -GROUP BY transactionno;"," - -To count the number of rows for each `transactionno` in the `salesTransactions` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT transactionno, COUNT(*) as row_count -FROM salesTransactions -GROUP BY transactionno; -``` - -This query will return each unique `transactionno` along with the number of rows associated with it in the `salesTransactions` table.",4.1804904938,DeepSeek-R1-Distill-Llama-70B,31,1.013595174677834,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `date`, COUNT(*) FROM `salesTransactions` GROUP BY `date`","For each date, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004797,"SELECT - date, - COUNT(*) as numberOfTransactions -FROM - salesTransactions -GROUP BY - date;"," - -To count the number of rows in the `salesTransactions` table for each date, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause to group the results by date. - -```sql -SELECT - date, - COUNT(*) as numberOfTransactions -FROM - salesTransactions -GROUP BY - date; -``` - -This SQL query will: -1. Select the `date` column and count the number of rows for each date. -2. Group the results by the `date` column. -3. Return a result set with two columns: `date` and `numberOfTransactions` (the count of transactions for each date).",4.2829010487,DeepSeek-R1-Distill-Llama-70B,32,1.035422672444278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productno`, COUNT(*) FROM `salesTransactions` GROUP BY `productno`","For each productno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000477,"SELECT - productno, - COUNT(*) AS number_of_transactions -FROM - salesTransactions -GROUP BY - productno;"," - -To count the number of rows for each `productno` in the `salesTransactions` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - productno, - COUNT(*) AS number_of_transactions -FROM - salesTransactions -GROUP BY - productno; -``` - -This query will: -1. Select the `productno` column -2. Count the number of rows for each `productno` using `COUNT(*)` -3. Group the results by `productno` -4. Return the count of transactions for each product number",4.00324893,DeepSeek-R1-Distill-Llama-70B,33,0.947446674525251,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productname`, COUNT(*) FROM `salesTransactions` GROUP BY `productname`","For each productname, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005355,"SELECT productname, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY productname;"," - -To count the number of rows for each `productname` in the `salesTransactions` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT productname, COUNT(*) AS row_count -FROM salesTransactions -GROUP BY productname; -``` - -This query will: -1. Group all rows in the `salesTransactions` table by the `productname` column. -2. Count the number of rows in each group using `COUNT(*)`. -3. Return the `productname` along with the count of rows for each group. - -The result will show the number of transactions (rows) for each product name in your table.",4.5414135456,DeepSeek-R1-Distill-Llama-70B,34,1.0309151296806622,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `country`, COUNT(*) FROM `salesTransactions` GROUP BY `country`","For each country, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005859,"SELECT country, COUNT(transactionno) AS numberOfTransactions -FROM salesTransactions -GROUP BY country;"," - -To count the number of rows in the `salesTransactions` table for each country, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT country, COUNT(transactionno) AS numberOfTransactions -FROM salesTransactions -GROUP BY country; -``` - -This query will: -1. Group all rows in the `salesTransactions` table by the `country` column. -2. Count the number of transactions (`transactionno`) for each country. -3. Return a result set with two columns: `country` and `numberOfTransactions` (the count of transactions for each country).",4.9332602024,DeepSeek-R1-Distill-Llama-70B,35,1.028116157694498,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006075,"SELECT - date, - MIN(customerno) AS min_customerno -FROM - salesTransactions -GROUP BY - date;"," - -To find the minimum `customerno` for each date in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT - date, - MIN(customerno) AS min_customerno -FROM - salesTransactions -GROUP BY - date; -``` - -This query will: -1. Group the rows of the `salesTransactions` table by the `date` column. -2. For each group (i.e., for each date), it will calculate the minimum value of the `customerno` column. -3. Return a result set with two columns: `date` and `min_customerno` (the minimum customer number for that date).",5.1686124802,DeepSeek-R1-Distill-Llama-70B,36,1.01183599653696,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005238,"SELECT date, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY date;"," - -To find the maximum `customerno` for each date in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT date, MAX(customerno) AS max_customerno -FROM salesTransactions -GROUP BY date; -``` - -This query will return the maximum `customerno` for each unique date in your table.",4.2891805172,DeepSeek-R1-Distill-Llama-70B,37,0.9694775953306047,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000567,"SELECT - date, - AVG(customerno) AS average_customerno -FROM - salesTransactions -GROUP BY - date;"," - -To find the average of `customerno` for each date in the `salesTransactions` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - date, - AVG(customerno) AS average_customerno -FROM - salesTransactions -GROUP BY - date; -``` - -This query will: -1. Group the rows of the `salesTransactions` table by the `date` column. -2. Calculate the average value of `customerno` for each group (i.e., for each date). -3. Return a result set with two columns: `date` and `average_customerno`.",5.1162900925,DeepSeek-R1-Distill-Llama-70B,38,1.0404080973767609,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005499,"SELECT - date, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - date;"," - -To fetch the sum of `customerno` for each date from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT - date, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - date; -``` - -This query will: -1. Select the `date` column. -2. Calculate the sum of the `customerno` column for each date using the `SUM()` function. -3. Group the results by the `date` column to ensure the sum is calculated for each unique date.",4.634973526,DeepSeek-R1-Distill-Llama-70B,39,1.02694144264803,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004689,"SELECT date, MIN(price) AS min_price -FROM salesTransactions -GROUP BY date;"," - -To find the minimum price for each date in the `salesTransactions` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT date, MIN(price) AS min_price -FROM salesTransactions -GROUP BY date; -``` - -This query will return the minimum price for each date in your `salesTransactions` table.",3.9158334732,DeepSeek-R1-Distill-Llama-70B,40,1.0196905857277567,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006336,"SELECT - date, - MAX(price) AS max_price -FROM - salesTransactions -GROUP BY - date -ORDER BY - date;"," - -To find the maximum price for each date in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - date, - MAX(price) AS max_price -FROM - salesTransactions -GROUP BY - date -ORDER BY - date; -``` - -This query will: -1. Select the `date` column. -2. Calculate the maximum `price` for each date using `MAX(price)`. -3. Group the results by the `date` column. -4. Optionally, order the results by the `date` column for better readability.",5.6453371048,DeepSeek-R1-Distill-Llama-70B,41,1.0431089197940382,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005175,"SELECT - date, - AVG(price) AS avg_price -FROM - salesTransactions -GROUP BY - date;"," - -To find the average price for each date in the `salesTransactions` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - date, - AVG(price) AS avg_price -FROM - salesTransactions -GROUP BY - date; -``` - -This query will: -1. Select the `date` column. -2. Calculate the average of the `price` column for each date using `AVG(price)`. -3. Group the results by the `date` column to ensure the average is calculated for each unique date. -4. Alias the average price column as `avg_price` for clarity.",4.2363069057,DeepSeek-R1-Distill-Llama-70B,42,1.009632493702769,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004743,"SELECT - date, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - date;"," - -To fetch the sum of `price` for each date from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT - date, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - date; -``` - -This query will: -1. Select the `date` column. -2. Calculate the sum of the `price` column for each date using the `SUM()` function. -3. Group the results by the `date` column to ensure the sum is calculated for each unique date.",3.9283690453,DeepSeek-R1-Distill-Llama-70B,43,1.0372919264304015,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000585,"SELECT country, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY country;"," - -To find the minimum `customerno` for each country in the `salesTransactions` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT country, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY country; -``` - -This query will return the minimum `customerno` for each country in your database.",5.5231187344,DeepSeek-R1-Distill-Llama-70B,44,0.9772331871508496,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004689,"SELECT country, MAX(customerno) AS max_customerno -FROM ""salesTransactions"" -GROUP BY country;"," - -To find the maximum `customerno` for each country in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT country, MAX(customerno) AS max_customerno -FROM ""salesTransactions"" -GROUP BY country; -``` - -This query will return the maximum `customerno` for each unique `country` in your `salesTransactions` table.",3.8208179474,DeepSeek-R1-Distill-Llama-70B,45,1.0224238559884933,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005625,"SELECT - country, - AVG(customerno) AS avg_customerno -FROM - salesTransactions -GROUP BY - country -ORDER BY - country;"," - -To find the average of `customerno` for each country in the `salesTransactions` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - country, - AVG(customerno) AS avg_customerno -FROM - salesTransactions -GROUP BY - country -ORDER BY - country; -``` - -This query will: -1. Group the rows in the `salesTransactions` table by the `country` column. -2. Calculate the average value of `customerno` for each group (country). -3. Return the results sorted alphabetically by country name.",4.9905281067,DeepSeek-R1-Distill-Llama-70B,46,1.0046205963315735,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005247,"SELECT - country, - SUM(customerno) AS total_customers -FROM - ""salesTransactions"" -GROUP BY - country;"," - -To fetch the sum of `customerno` for each country from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT - country, - SUM(customerno) AS total_customers -FROM - ""salesTransactions"" -GROUP BY - country; -``` - -This query will: -1. Select the `country` column. -2. Calculate the sum of the `customerno` for each country using the `SUM()` function. -3. Group the results by the `country` column to ensure the sum is calculated for each unique country.",4.583101511,DeepSeek-R1-Distill-Llama-70B,47,1.006361297380627,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005058,"SELECT - country, - MIN(price) AS min_price -FROM - salesTransactions -GROUP BY - country;"," - -To find the minimum price for each country in the `salesTransactions` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - country, - MIN(price) AS min_price -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will: -1. Group all records in the `salesTransactions` table by the `country` column. -2. For each group (i.e., for each country), it will calculate the minimum value in the `price` column. -3. Return a result set with two columns: `country` and `min_price` (the minimum price for that country).",4.457244873,DeepSeek-R1-Distill-Llama-70B,48,1.0052839827239326,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005139,"SELECT ""country"", MAX(""price"") AS max_price -FROM ""salesTransactions"" -GROUP BY ""country"";"," - -To find the maximum price for each country in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT ""country"", MAX(""price"") AS max_price -FROM ""salesTransactions"" -GROUP BY ""country""; -``` - -This query will return the maximum price for each country in your database.",4.1644206047,DeepSeek-R1-Distill-Llama-70B,49,1.0333111561428971,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00054,"SELECT country, AVG(price) AS average_price -FROM salesTransactions -GROUP BY country;"," - -To fetch the average price for each country from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country, AVG(price) AS average_price -FROM salesTransactions -GROUP BY country; -``` - -This query will: -1. Group the rows in the `salesTransactions` table by the `country` column. -2. Calculate the average value of the `price` column for each group (country). -3. Return the results with the country name and the corresponding average price.",4.6180667877,DeepSeek-R1-Distill-Llama-70B,50,1.0216648322288966,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005391,"SELECT - country, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - country;"," - -To fetch the sum of `price` for each country from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT - country, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - country; -``` - -This query will: -1. Group all records in the `salesTransactions` table by the `country` column. -2. Calculate the sum of the `price` column for each group (i.e., for each country). -3. Return the result with two columns: `country` and `total_price` (the sum of prices for that country).",4.635815382,DeepSeek-R1-Distill-Llama-70B,51,1.010669462356184,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) >= 1,Find all the modelname that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005652,SELECT DISTINCT modelname FROM fitnessTrackers;," - -To find all `modelname`s that have at least one record in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT DISTINCT modelname FROM fitnessTrackers; -``` - -This query will return all unique `modelname`s that exist in the `fitnessTrackers` table.",5.0993859768,DeepSeek-R1-Distill-Llama-70B,52,1.0250713308089698,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) <= 1,Find all the modelname that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005238,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1;"," - -To find all `modelname`s that have at most 1 record in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1; -``` - -This query: -1. Groups the records in the `fitnessTrackers` table by the `modelname`. -2. Counts the number of records for each `modelname`. -3. Filters the results to include only those `modelname`s that have 1 or fewer records.",4.4029581547,DeepSeek-R1-Distill-Llama-70B,53,0.9877841151995659,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) >= 1,Find all the color that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004959,SELECT DISTINCT color FROM fitnessTrackers;," - -To find all colors that have at least one record in the `fitnessTrackers` table, you can use the `SELECT DISTINCT` statement to retrieve unique color values. Here's the SQL code: - -```sql -SELECT DISTINCT color FROM fitnessTrackers; -``` - -This query will return all unique color values present in the `fitnessTrackers` table.",4.0448737144,DeepSeek-R1-Distill-Llama-70B,54,0.9674267654105199,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) <= 1,Find all the color that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005202,"SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(color) <= 1;"," - -To find all colors that have at most 1 record in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(color) <= 1; -``` - -This query: -1. Groups the records in the `fitnessTrackers` table by the `color` column. -2. Uses the `HAVING` clause to filter groups where the count of records for a specific color is less than or equal to 1. -3. Returns the `color` values that meet this condition.",4.5678441525,DeepSeek-R1-Distill-Llama-70B,55,0.9991473041381628,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) >= 4,Find all the display that have at least 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005256,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(display) >= 4;"," - -To find all displays that have at least 4 records in the `fitnessTrackers` table, you can use the SQL `COUNT()` function along with the `GROUP BY` and `HAVING` clauses. Here's how you can do it: - -```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(display) >= 4; -``` - -This query will: -1. Group the records in the `fitnessTrackers` table by the `display` column. -2. Count the number of records for each `display`. -3. Return only those `display` values that have 4 or more records.",4.4168121815,DeepSeek-R1-Distill-Llama-70B,56,1.0037422442914035,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) <= 4,Find all the display that have at most 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000531,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(display) <= 4;"," - -To find all the displays that have at most 4 records in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(display) <= 4; -``` - -This query will: -1. Group the records in the `fitnessTrackers` table by the `display` column. -2. Count the number of records for each `display`. -3. Return only those `display` values that have 4 or fewer records.",4.7821612358,DeepSeek-R1-Distill-Llama-70B,57,1.0032931273031918,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) >= 8.81,List the strapmaterial which average of averagebatterylife is at least 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006642,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81;"," - -To answer the question, we need to write an SQL query that will fetch the `strapmaterial` from the `fitnessTrackers` table where the average of `averagebatterylife` is at least 8.81. - -Here is the SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) >= 8.81; -``` - -### Explanation: -1. **`SELECT strapmaterial`**: This selects the `strapmaterial` column that we want to retrieve. -2. **`FROM fitnessTrackers`**: This specifies the table from which we want to retrieve the data. -3. **`GROUP BY strapmaterial`**: This groups the rows by the `strapmaterial` column so that we can calculate the average `averagebatterylife` for each `strapmaterial`. -4. **`HAVING AVG(averagebatterylife) >= 8.81`**: This filters the results to include only those groups where the average `averagebatterylife` is at least 8.81. - -This query will return the `strapmaterial` values where the average `averagebatterylife` meets or exceeds 8.81.",7.0694830418,DeepSeek-R1-Distill-Llama-70B,58,1.0150487212684158,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) <= 8.81,List the strapmaterial which average of averagebatterylife is at most 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006633,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) <= 8.81;"," - -To answer the question, we need to write an SQL query that will fetch the `strapmaterial` from the `fitnessTrackers` table where the average of `averagebatterylife` is at most 8.81. - -Here is the SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(averagebatterylife) <= 8.81; -``` - -### Explanation: -1. **SELECT strapmaterial**: This selects the `strapmaterial` column from the table. -2. **FROM fitnessTrackers**: This specifies the table to query. -3. **GROUP BY strapmaterial**: This groups the rows by the `strapmaterial` column. -4. **HAVING AVG(averagebatterylife) <= 8.81**: This filters the groups to only include those where the average `averagebatterylife` is at most 8.81.",6.1297614574,DeepSeek-R1-Distill-Llama-70B,59,0.9981260717510003,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) >= 32.4,List the strapmaterial which summation of averagebatterylife is at least 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007236,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4;"," - -To answer the question, we need to write an SQL query that will sum the `averagebatterylife` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` values where the sum of `averagebatterylife` is at least 32.4. - -Here is the SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4; -``` - -### Explanation: -1. **`SELECT strapmaterial`**: This selects the `strapmaterial` column, which is what we want to list. -2. **`FROM fitnessTrackers`**: This specifies the table from which to retrieve the data. -3. **`GROUP BY strapmaterial`**: This groups the rows by the `strapmaterial` column, allowing us to aggregate data for each unique `strapmaterial`. -4. **`HAVING SUM(averagebatterylife) >= 32.4`**: This filters the grouped results to include only those groups where the sum of `averagebatterylife` is at least 32.4. - -This query will return the `strapmaterial` values where the sum of `averagebatterylife` meets or exceeds 32.4.",7.1497957706,DeepSeek-R1-Distill-Llama-70B,60,1.0252626177633657,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) <= 32.4,List the strapmaterial which summation of averagebatterylife is at most 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007722,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4;"," - -To answer the question, we need to write an SQL query that will sum the `averagebatterylife` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` where the sum of `averagebatterylife` is at most 32.4. - -Here is the SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) <= 32.4; -``` - -### Explanation: -1. **`SELECT strapmaterial`**: This selects the `strapmaterial` column that we want to display in the final result. -2. **`FROM fitnessTrackers`**: This specifies the table from which we want to retrieve data. -3. **`GROUP BY strapmaterial`**: This groups the rows in the table by the `strapmaterial` column, allowing us to perform aggregate operations on each group. -4. **`HAVING SUM(averagebatterylife) <= 32.4`**: This filters the groups to include only those where the sum of `averagebatterylife` is at most 32.4. - -This query will return a list of `strapmaterial` values where the sum of their `averagebatterylife` is 32.4 or less.",6.4852979183,DeepSeek-R1-Distill-Llama-70B,61,1.0251174630005464,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) >= 19076.5,List the strapmaterial which average of sellingprice is at least 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007938,"SELECT strapmaterial, AVG(sellingprice) AS average_sellingprice -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5;"," - -To answer the question, we need to write an SQL query that calculates the average `sellingprice` for each `strapmaterial` in the `fitnessTrackers` table and then filters the results to include only those `strapmaterial` values where the average `sellingprice` is at least 19076.5. - -Here is the SQL code: - -```sql -SELECT strapmaterial, AVG(sellingprice) AS average_sellingprice -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5; -``` - -### Explanation: -1. **`SELECT strapmaterial, AVG(sellingprice) AS average_sellingprice`**: - - This selects the `strapmaterial` column and calculates the average of the `sellingprice` for each `strapmaterial`. The `AS` keyword renames the average column to `average_sellingprice` for clarity. - -2. **`FROM fitnessTrackers`**: - - This specifies the table from which to retrieve the data, which is `fitnessTrackers`. - -3. **`GROUP BY strapmaterial`**: - - This groups the rows by the `strapmaterial` column, allowing us to calculate the average `sellingprice` for each unique `strapmaterial`. - -4. **`HAVING AVG(sellingprice) >= 19076.5`**: - - This filters the grouped results to include only those groups where the average `sellingprice` is at least 19076.5. - -This query will return a list of `strapmaterial` values along with their corresponding average `sellingprice`, but only for those `strapmaterial` values where the average `sellingprice` meets or exceeds 19076.5.",6.9475319386,DeepSeek-R1-Distill-Llama-70B,62,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) <= 19076.5,List the strapmaterial which average of sellingprice is at most 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006831,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5;"," - -To answer the question, we need to write an SQL query that will fetch the `strapmaterial` from the `fitnessTrackers` table where the average `sellingprice` is at most 19076.5. - -Here is the SQL code: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING AVG(sellingprice) <= 19076.5; -``` - -### Explanation: -1. **SELECT strapmaterial**: This selects the `strapmaterial` column from the `fitnessTrackers` table. -2. **FROM fitnessTrackers**: This specifies the table from which to retrieve the data. -3. **GROUP BY strapmaterial**: This groups the rows by the `strapmaterial` column, allowing us to calculate the average `sellingprice` for each unique `strapmaterial`. -4. **HAVING AVG(sellingprice) <= 19076.5**: This filters the groups to only include those where the average `sellingprice` is at most 19076.5. - -This query will return the `strapmaterial` values where the average `sellingprice` meets the specified condition.",5.8107178211,DeepSeek-R1-Distill-Llama-70B,63,1.0054371027115498,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) >= 82848.0,List the strapmaterial which summation of sellingprice is at least 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007668,"SELECT strapmaterial, SUM(sellingprice) AS total_sellingprice -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0;"," - -To answer the question, we need to write an SQL query that will sum the `sellingprice` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` values where the total `sellingprice` is at least 82848.0. - -Here is the SQL code: - -```sql -SELECT strapmaterial, SUM(sellingprice) AS total_sellingprice -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0; -``` - -### Explanation: -1. **SELECT Clause**: We select the `strapmaterial` column and calculate the sum of `sellingprice` for each `strapmaterial`, aliasing the sum as `total_sellingprice` for clarity. -2. **FROM Clause**: We specify the table `fitnessTrackers` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `strapmaterial` column to aggregate the `sellingprice` values by each unique `strapmaterial`. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the sum of `sellingprice` is at least 82848.0. - -This query will return the `strapmaterial` values along with their corresponding total `sellingprice` for those that meet or exceed the threshold of 82848.0.",7.7881236076,DeepSeek-R1-Distill-Llama-70B,64,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) <= 82848.0,List the strapmaterial which summation of sellingprice is at most 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007965,"SELECT strapmaterial, SUM(sellingprice) AS total_price -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0;"," - -To answer the question, we need to write an SQL query that will sum the `sellingprice` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` values where the total `sellingprice` is at most 82848.0. - -Here is the SQL code: - -```sql -SELECT strapmaterial, SUM(sellingprice) AS total_price -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0; -``` - -### Explanation: -1. **`SELECT strapmaterial, SUM(sellingprice) AS total_price`**: This selects the `strapmaterial` column and calculates the sum of the `sellingprice` for each `strapmaterial`. The sum is aliased as `total_price` for clarity. -2. **`FROM fitnessTrackers`**: This specifies the table from which to retrieve the data. -3. **`GROUP BY strapmaterial`**: This groups the rows by the `strapmaterial` column, allowing us to aggregate the `sellingprice` for each unique `strapmaterial`. -4. **`HAVING SUM(sellingprice) <= 82848.0`**: This filters the grouped results to include only those groups where the total `sellingprice` is at most 82848.0. - -This query will return a list of `strapmaterial` values along with their corresponding total `sellingprice`, but only for those `strapmaterial` values where the total `sellingprice` is less than or equal to 82848.0.",7.3137183189,DeepSeek-R1-Distill-Llama-70B,65,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) >= 8.1,List the modelname which average of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005976,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1;"," - -To fetch the model names from the `fitnessTrackers` table where the average of `averagebatterylife` is at least 8.1, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1; -``` - -This query: -1. Groups the rows in the `fitnessTrackers` table by the `modelname`. -2. Calculates the average `averagebatterylife` for each group using the `AVG()` function. -3. Filters the results to include only those groups where the average `averagebatterylife` is at least 8.1.",4.9737036228,DeepSeek-R1-Distill-Llama-70B,66,1.0052194433971005,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) <= 8.1,List the modelname which average of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007128,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1;"," - -To fetch the model names from the `fitnessTrackers` table where the average `averagebatterylife` is at most 8.1, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `modelname`. -2. Calculate the average `averagebatterylife` for each group. -3. Return only those `modelname` values where the average `averagebatterylife` is less than or equal to 8.1.",6.2025747299,DeepSeek-R1-Distill-Llama-70B,67,1.0572209557673928,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) >= 8.1,List the modelname which summation of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006003,"SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1;"," - -To answer the question, we need to fetch the `modelname` from the `fitnessTrackers` table where the `averagebatterylife` is at least 8.1. - -```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1; -```",5.3900196552,DeepSeek-R1-Distill-Llama-70B,68,0.9369935042960212,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) <= 8.1,List the modelname which summation of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006957,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) <= 8.1;"," - -To answer the question, we need to fetch the `modelname` from the `fitnessTrackers` table where the sum of `averagebatterylife` is at most 8.1. - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(averagebatterylife) <= 8.1; -```",5.9355385303,DeepSeek-R1-Distill-Llama-70B,69,1.0054053817592001,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) >= 20712.0,List the modelname which average of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006129,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0;"," - -To fetch the model names from the `fitnessTrackers` table where the average `sellingprice` is at least 20712.0, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) >= 20712.0; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `modelname`. -2. Calculate the average `sellingprice` for each group. -3. Return only those `modelname` values where the average `sellingprice` is at least 20712.0.",5.297337532,DeepSeek-R1-Distill-Llama-70B,70,0.9955970222433258,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) <= 20712.0,List the modelname which average of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005913,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0;"," - -To fetch the model names from the `fitnessTrackers` table where the average `sellingprice` is at most 20712.0, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0; -``` - -This query: -1. Selects the `modelname` from the `fitnessTrackers` table. -2. Groups the results by `modelname`. -3. Filters the results to include only those groups where the average `sellingprice` is less than or equal to 20712.0.",4.7741470337,DeepSeek-R1-Distill-Llama-70B,71,1.0053254091704695,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) >= 20712.0,List the modelname which summation of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006138,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0;"," - -To fetch the model names from the `fitnessTrackers` table where the summation of `sellingprice` is at least 20712.0, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) >= 20712.0; -``` - -This query will: -1. Group the rows in the `fitnessTrackers` table by the `modelname`. -2. Calculate the sum of `sellingprice` for each group. -3. Return only those `modelname` values where the sum of `sellingprice` is at least 20712.0.",5.7488822937,DeepSeek-R1-Distill-Llama-70B,72,1.0059203750537256,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) <= 20712.0,List the modelname which summation of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006264,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0;"," - -To fetch the model names from the `fitnessTrackers` table where the sum of `sellingprice` is at most 20712.0, you can use the following SQL query: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING SUM(sellingprice) <= 20712.0; -``` - -This query: -1. Selects the `modelname` from the `fitnessTrackers` table. -2. Groups the results by `modelname` to aggregate the `sellingprice` for each model. -3. Uses the `HAVING` clause to filter the results where the sum of `sellingprice` is less than or equal to 20712.0.",5.3780679703,DeepSeek-R1-Distill-Llama-70B,73,1.0221498866873595,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) >= 20,Find all the country that have at least 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005787,"SELECT country, COUNT(transactionno) AS total -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) >= 20;"," - -To find all the countries that have at least 20 records in the `salesTransactions` table, you can use the SQL `COUNT()` function along with the `GROUP BY` and `HAVING` clauses. Here's the SQL code: - -```sql -SELECT country, COUNT(transactionno) AS total -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) >= 20; -``` - -This query will: -1. Group the records in `salesTransactions` by the `country` column. -2. Count the number of transactions (`transactionno`) for each country. -3. Filter the results to include only those countries that have 20 or more transactions. - -The result will show the country name and the total number of transactions for each country that meets the criteria.",4.9591882229,DeepSeek-R1-Distill-Llama-70B,74,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) <= 20,Find all the country that have at most 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005499,"SELECT country, COUNT(transactionno) AS transaction_count -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) <= 20;"," - -To find all the countries that have at most 20 records in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country, COUNT(transactionno) AS transaction_count -FROM salesTransactions -GROUP BY country -HAVING COUNT(transactionno) <= 20; -``` - -This query: -1. Groups the records in `salesTransactions` by the `country` field. -2. Counts the number of transactions (`transactionno`) for each country. -3. Filters the results to include only those countries with 20 or fewer transactions. - -The result will be a list of countries along with their respective transaction counts, where each count is 20 or less.",4.4390432835,DeepSeek-R1-Distill-Llama-70B,75,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) >= 1,Find all the date that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005004,SELECT DISTINCT date FROM `salesTransactions`;," - -To find all dates that have at least one record in the `salesTransactions` table, you can use the `SELECT DISTINCT` statement to retrieve unique dates. - -```sql -SELECT DISTINCT date FROM `salesTransactions`; -```",4.15097332,DeepSeek-R1-Distill-Llama-70B,76,0.9835209829761656,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) <= 1,Find all the date that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006948,"SELECT ""date"" -FROM ""salesTransactions"" -GROUP BY ""date"" -HAVING COUNT(""transactionno"") <= 1;"," - -To find all dates that have at most 1 record in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT ""date"" -FROM ""salesTransactions"" -GROUP BY ""date"" -HAVING COUNT(""transactionno"") <= 1; -``` - -This query: -1. Groups the records in the `salesTransactions` table by the `""date""` column. -2. Counts the number of records (`""transactionno""`) for each date. -3. Filters the results to include only those dates where the count of records is 1 or less. - -The result will be a list of dates that have at most 1 record in the table.",6.3402292728,DeepSeek-R1-Distill-Llama-70B,77,0.9859673484985082,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) >= 1,Find all the transactionno that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000513,SELECT DISTINCT transactionno FROM salesTransactions;," - -To find all the `transactionno` that have at least 1 record in the `salesTransactions` table, you can use the `SELECT DISTINCT` statement to fetch all unique `transactionno` values from the table. - -```sql -SELECT DISTINCT transactionno FROM salesTransactions; -```",4.0938265324,DeepSeek-R1-Distill-Llama-70B,78,0.981975681379218,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) <= 1,Find all the transactionno that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005688,"SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(transactionno) <= 1;"," - -To find all `transactionno` values that appear at most once in the `salesTransactions` table, you can use the following SQL query. This query groups the transactions by `transactionno` and filters those groups that have one or fewer records. - -```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(transactionno) <= 1; -```",6.3998448849,DeepSeek-R1-Distill-Llama-70B,79,1.0511471148708336,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`price`) <= 11.95,List the country which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000666,"SELECT country, AVG(price) AS average_price -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95;"," - -To answer the question, we need to write an SQL query that calculates the average price for each country in the `salesTransactions` table and then filters the results to include only those countries where the average price is at most 11.95. - -Here is the SQL code: - -```sql -SELECT country, AVG(price) AS average_price -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95; -``` - -This query: -1. Selects the `country` column and calculates the average price for each country using `AVG(price)`. -2. Groups the results by the `country` column. -3. Filters the results to include only those countries where the average price is at most 11.95 using the `HAVING` clause.",6.7769374847,DeepSeek-R1-Distill-Llama-70B,80,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) >= 238.94,List the country which summation of price is at least 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005742,SELECT country FROM salesTransactions GROUP BY country HAVING SUM(price) >= 238.94;," - -To fetch the country where the summation of the price is at least 238.94 from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country FROM salesTransactions GROUP BY country HAVING SUM(price) >= 238.94; -```",6.5159528255,DeepSeek-R1-Distill-Llama-70B,81,1.0064322524916973,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) <= 238.94,List the country which summation of price is at most 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005688,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94;"," - -To fetch the country where the summation of the `price` is at most 238.94 from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) <= 238.94; -``` - -This query: -1. Groups the rows in the `salesTransactions` table by the `country` column. -2. Calculates the sum of the `price` for each group using the `SUM()` function. -3. Filters the results to include only those groups where the sum of `price` is less than or equal to 238.94 using the `HAVING` clause.",4.982524395,DeepSeek-R1-Distill-Llama-70B,82,1.0192960457645055,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) >= 15215.25,List the country which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0008613,"SELECT country, AVG(customerno) AS average_customerno -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25;"," - -To answer the question, we need to write an SQL query that calculates the average of the `customerno` for each country in the `salesTransactions` table and then filters the results to include only those countries where the average `customerno` is at least 15215.25. - -Here is the SQL code: - -```sql -SELECT country, AVG(customerno) AS average_customerno -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25; -``` - -### Explanation: -1. **SELECT country, AVG(customerno) AS average_customerno**: - - This selects the `country` column and calculates the average of the `customerno` for each country. The `AS` keyword is used to alias the calculated average as `average_customerno` for clarity. - -2. **FROM salesTransactions**: - - This specifies the table from which to retrieve the data, which is `salesTransactions`. - -3. **GROUP BY country**: - - This groups the rows in the result set by the `country` column, allowing us to calculate the average `customerno` for each country separately. - -4. **HAVING AVG(customerno) >= 15215.25**: - - This filters the grouped results to include only those countries where the average `customerno` is at least 15215.25. - -This query will return a list of countries along with their average `customerno`, but only for those countries where the average meets or exceeds the specified threshold.",7.7940773964,DeepSeek-R1-Distill-Llama-70B,83,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) <= 15215.25,List the country which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007245,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25;"," - -To answer the question, we need to write an SQL query that calculates the average of the `customerno` for each country in the `salesTransactions` table and then filters the results to include only those countries where the average `customerno` is at most 15215.25. - -Here is the SQL code: - -```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) <= 15215.25; -``` - -### Explanation: -1. **SELECT country**: This selects the `country` column from the `salesTransactions` table. -2. **FROM salesTransactions**: This specifies the table from which to retrieve the data. -3. **GROUP BY country**: This groups the rows by the `country` column, allowing us to calculate the average `customerno` for each country. -4. **HAVING AVG(customerno) <= 15215.25**: This filters the results to include only those groups (countries) where the average `customerno` is less than or equal to 15215.25. - -This query will return the list of countries where the average `customerno` is at most 15215.25.",6.3793501854,DeepSeek-R1-Distill-Llama-70B,84,1.0042637835459884,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) >= 304305.0,List the country which summation of customerno is at least 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007281,"SELECT country, SUM(customerno) AS total_customers -FROM ""salesTransactions"" -GROUP BY country -HAVING SUM(customerno) >= 304305.0;"," - -To answer the question, we need to write an SQL query that will sum the `customerno` values for each country in the `salesTransactions` table and then filter the results to include only those countries where the sum is at least 304305.0. - -Here is the SQL code: - -```sql -SELECT country, SUM(customerno) AS total_customers -FROM ""salesTransactions"" -GROUP BY country -HAVING SUM(customerno) >= 304305.0; -``` - -### Explanation: -1. **`SELECT country, SUM(customerno) AS total_customers`**: - - This selects the `country` column and calculates the sum of the `customerno` values for each country. The `AS total_customers` renames the sum column to `total_customers` for clarity. - -2. **`FROM ""salesTransactions""`**: - - This specifies the table from which to retrieve the data, which is `salesTransactions`. - -3. **`GROUP BY country`**: - - This groups the rows by the `country` column, allowing us to aggregate the `customerno` values for each country. - -4. **`HAVING SUM(customerno) >= 304305.0`**: - - This filters the grouped results to include only those countries where the sum of `customerno` is at least 304305.0. - -This query will return a list of countries along with the total sum of `customerno` for each country that meets the specified condition.",6.0288405418,DeepSeek-R1-Distill-Llama-70B,85,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) <= 304305.0,List the country which summation of customerno is at most 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0008514,"SELECT country, SUM(customerno) AS total_customers -FROM ""salesTransactions"" -GROUP BY country -HAVING SUM(customerno) <= 304305.0;"," - -To answer the question, we need to write an SQL query that will sum the `customerno` values for each country in the `salesTransactions` table and then filter the results to include only those countries where the sum is at most 304305.0. - -Here is the SQL code: - -```sql -SELECT country, SUM(customerno) AS total_customers -FROM ""salesTransactions"" -GROUP BY country -HAVING SUM(customerno) <= 304305.0; -``` - -### Explanation: -1. **SELECT country, SUM(customerno) AS total_customers**: This selects the `country` column and calculates the sum of `customerno` values, aliasing the sum as `total_customers` for clarity. -2. **FROM ""salesTransactions""**: Specifies the table to query. -3. **GROUP BY country**: Groups the rows by the `country` column so that the sum can be calculated for each country. -4. **HAVING SUM(customerno) <= 304305.0**: Filters the results to include only those groups (countries) where the sum of `customerno` is at most 304305.0. - -This query will return the list of countries along with their corresponding sums of `customerno` values that meet the condition.",7.8614668846,DeepSeek-R1-Distill-Llama-70B,86,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) >= 11.95,List the productname which average of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005634,"SELECT productname, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95;"," - -To fetch the product names where the average price is at least 11.95 from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productname, AVG(price) AS avg_price -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95; -``` - -This query: -1. Selects the `productname` and calculates the average price for each product. -2. Groups the results by `productname`. -3. Filters the results to include only those products where the average price is at least 11.95.",4.7946865559,DeepSeek-R1-Distill-Llama-70B,87,0.0,0.533,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) <= 11.95,List the productname which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005301,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95;"," - -To fetch the product names where the average price is at most 11.95, you can use the following SQL query: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95; -``` - -This query: -1. Selects the `productname` from the `salesTransactions` table -2. Groups the results by `productname` -3. Filters the results to include only those groups where the average `price` is less than or equal to 11.95",4.0846712589,DeepSeek-R1-Distill-Llama-70B,88,1.0334867389302775,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) >= 11.95,List the productname which summation of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0008199,"SELECT productname -FROM `salesTransactions` -GROUP BY productname -HAVING SUM(price) >= 11.95;"," - -To fetch the product names where the sum of their prices is at least 11.95 from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productname -FROM `salesTransactions` -GROUP BY productname -HAVING SUM(price) >= 11.95; -``` - -This query: -1. Selects the `productname` from the `salesTransactions` table. -2. Groups the results by `productname`. -3. Filters the results to include only those groups where the sum of the `price` is at least 11.95.",6.9079494476,DeepSeek-R1-Distill-Llama-70B,89,1.0039712050360152,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) <= 11.95,List the productname which summation of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006372,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95;"," - -To fetch the product names where the sum of their prices is at most 11.95 from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) <= 11.95; -``` - -This query: -1. Groups the rows by `productname`. -2. Calculates the sum of `price` for each group. -3. Filters the results to include only those groups where the sum of `price` is less than or equal to 11.95.",5.1902782917,DeepSeek-R1-Distill-Llama-70B,90,1.0068085096959811,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) >= 15215.25,List the productname which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007218,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25;"," - -To fetch the product names where the average `customerno` is at least 15215.25, you can use the SQL `AVG()` function along with the `GROUP BY` and `HAVING` clauses. Here's the SQL code: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25; -``` - -This query will: -1. Group the rows in your `salesTransactions` table by `productname`. -2. Calculate the average `customerno` for each group. -3. Return only those `productname`s where the average `customerno` is at least 15215.25.",6.4080283642,DeepSeek-R1-Distill-Llama-70B,91,1.049766278808865,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) <= 15215.25,List the productname which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0008595,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) <= 15215.25;"," - -To answer the question, we need to fetch the product names from the `salesTransactions` table where the average value of `customerno` is at most 15215.25. Here's the SQL code to achieve this: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) <= 15215.25; -``` - -This SQL query: -1. Selects the `productname` from the `salesTransactions` table. -2. Groups the results by `productname`. -3. Filters the results to include only those groups where the average `customerno` is less than or equal to 15215.25.",7.921079874,DeepSeek-R1-Distill-Llama-70B,92,1.0094865992456339,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) >= 15215.25,List the productname which summation of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0007578,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25;"," - -To fetch the product names where the sum of `customerno` is at least 15215.25, you can use the following SQL query: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25; -``` - -This query: -1. Groups the rows in the `salesTransactions` table by `productname`. -2. Calculates the sum of `customerno` for each group. -3. Filters the results to include only those groups where the sum of `customerno` is at least 15215.25. -4. Returns the `productname` for the filtered groups.",6.5610141754,DeepSeek-R1-Distill-Llama-70B,93,0.9963152307959503,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) <= 15215.25,List the productname which summation of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006084,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25;"," - -To fetch the product names where the sum of `customerno` is at most 15215.25, you can use the following SQL query: - -```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) <= 15215.25; -``` - -This query will: -1. Group the rows in the `salesTransactions` table by `productname`. -2. Calculate the sum of `customerno` for each group. -3. Filter the results to include only those groups where the sum of `customerno` is less than or equal to 15215.25. -4. Return the `productname` for those groups.",5.5307540894,DeepSeek-R1-Distill-Llama-70B,94,1.070430292806828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `brandname` FROM `fitnessTrackers` GROUP BY `brandname` HAVING COUNT(DISTINCT `devicetype`) = (SELECT COUNT(DISTINCT `devicetype`) FROM `fitnessTrackers`),What are the brandname with all the devicetype in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004932,"SELECT brandname, devicetype FROM fitnessTrackers;"," - -To fetch the brand names along with their corresponding device types from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT brandname, devicetype FROM fitnessTrackers; -``` - -This query will return all rows from the `fitnessTrackers` table, showing the `brandname` and `devicetype` for each entry.",3.5704112053,DeepSeek-R1-Distill-Llama-70B,95,0.0,0.091,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `devicetype` FROM `fitnessTrackers` GROUP BY `devicetype` HAVING COUNT(DISTINCT `strapmaterial`) = (SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`),What are the devicetype with all the strapmaterial in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006048,"SELECT devicetype, strapmaterial FROM ""fitnessTrackers"";"," - -To fetch the `devicetype` along with the corresponding `strapmaterial` from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, strapmaterial FROM ""fitnessTrackers""; -``` - -This query will return all rows from the `fitnessTrackers` table, showing the `devicetype` and its associated `strapmaterial`.",5.2824938297,DeepSeek-R1-Distill-Llama-70B,96,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING COUNT(DISTINCT `display`) = (SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`),What are the color with all the display in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005076,"SELECT color, display FROM fitnessTrackers;"," - -To fetch the color and display information from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT color, display FROM fitnessTrackers; -``` - -This query will return all the rows in your `fitnessTrackers` table, showing the `color` and `display` columns for each entry.",4.5498116016,DeepSeek-R1-Distill-Llama-70B,97,0.0,0.062,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the transactionno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005112,"SELECT transactionno, country FROM ""salesTransactions"";"," - -To fetch all `transactionno` along with their corresponding `country` from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT transactionno, country FROM ""salesTransactions""; -``` - -This query will return a list of all `transactionno` values along with their associated `country` values from the `salesTransactions` table.",4.3605544567,DeepSeek-R1-Distill-Llama-70B,98,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the date with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006345,"SELECT date, country FROM salesTransactions;"," - -To fetch the dates along with their corresponding countries from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT date, country FROM salesTransactions; -``` - -This query will return all the dates and their associated countries from the `salesTransactions` table.",5.765273571,DeepSeek-R1-Distill-Llama-70B,99,0.0,0.95,1.0,0.0,0.95,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productno` FROM `salesTransactions` GROUP BY `productno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000549,"SELECT productno, country FROM salesTransactions;"," - -To fetch the `productno` along with their corresponding `country` from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productno, country FROM salesTransactions; -``` - -This query will return all the `productno` values along with their associated `country` values from the `salesTransactions` table.",4.6169402599,DeepSeek-R1-Distill-Llama-70B,100,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productname with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005607,"SELECT DISTINCT productname, country FROM ""salesTransactions"";"," - -To fetch the product names along with their corresponding countries from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT DISTINCT productname, country FROM ""salesTransactions""; -``` - -This query will return a list of all unique combinations of `productname` and `country` present in the `salesTransactions` table.",4.7882087231,DeepSeek-R1-Distill-Llama-70B,101,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` ASC,Show all data ordered by devicetype in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004302,SELECT * FROM fitnessTrackers ORDER BY devicetype ASC;," - -To fetch all data from the `fitnessTrackers` table ordered by `devicetype` in ascending order, you can use the following SQL query: - -```sql -SELECT * FROM fitnessTrackers ORDER BY devicetype ASC; -```",3.097391367,DeepSeek-R1-Distill-Llama-70B,102,1.020538892278627,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` DESC,Show all data ordered by devicetype in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003816,SELECT * FROM fitnessTrackers ORDER BY devicetype DESC;," - -To fetch all data from the `fitnessTrackers` table ordered by `devicetype` in descending order, you can use the following SQL query: - -```sql -SELECT * FROM fitnessTrackers ORDER BY devicetype DESC; -```",2.4773647785,DeepSeek-R1-Distill-Llama-70B,103,1.0051964776327187,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` ASC,Show all data ordered by strapmaterial in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003942,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC;"," - -To fetch all data from the `fitnessTrackers` table ordered by `strapmaterial` in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC; -```",2.7045331001,DeepSeek-R1-Distill-Llama-70B,104,1.026477921513297,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` DESC,Show all data ordered by strapmaterial in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004725,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC;"," - -To show all data from the `fitnessTrackers` table ordered by `strapmaterial` in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC; -``` - -This query will: -1. Select all columns (`*`) from the `fitnessTrackers` table. -2. Order the results by the `strapmaterial` column in descending order (`DESC`).",3.8531768322,DeepSeek-R1-Distill-Llama-70B,105,1.0105963385378391,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` ASC,Project the sellingprice ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000387,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC;"," - -To fetch the `sellingprice` from the `fitnessTrackers` table in ascending order, you can use the following SQL query: - -```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC; -```",2.801153183,DeepSeek-R1-Distill-Llama-70B,106,1.027559005946301,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` DESC,Project the sellingprice ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000351,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC;"," - -To project the `sellingprice` from the `fitnessTrackers` table in descending order, you can use the following SQL query: - -```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC; -```",2.4712641239,DeepSeek-R1-Distill-Llama-70B,107,1.0174712722826371,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` ASC,Project the color ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004059,SELECT color FROM fitnessTrackers ORDER BY color ASC;," - -To project the `color` column from the `fitnessTrackers` table in ascending order, you can use the following SQL query: - -```sql -SELECT color FROM fitnessTrackers ORDER BY color ASC; -```",3.2544925213,DeepSeek-R1-Distill-Llama-70B,108,1.0052600377406464,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` DESC,Project the color ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004149,"SELECT color -FROM fitnessTrackers -ORDER BY color DESC;"," - -To project the `color` column from the `fitnessTrackers` table in descending order, you can use the following SQL query: - -```sql -SELECT color -FROM fitnessTrackers -ORDER BY color DESC; -```",3.1687765121,DeepSeek-R1-Distill-Llama-70B,109,1.0190194413521523,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` ASC,Show all data ordered by transactionno in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004923,"SELECT * -FROM ""salesTransactions"" -ORDER BY ""transactionno"" ASC;"," - -To fetch all data from the `salesTransactions` table ordered by `transactionno` in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM ""salesTransactions"" -ORDER BY ""transactionno"" ASC; -``` - -This query will: -1. Select all columns (`*`) from the `salesTransactions` table. -2. Order the results by the `transactionno` column in ascending order (`ASC`).",4.0569951534,DeepSeek-R1-Distill-Llama-70B,110,1.0064084030061542,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` DESC,Show all data ordered by transactionno in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005004,"SELECT * FROM ""salesTransactions"" ORDER BY ""transactionno"" DESC;"," - -To fetch all data from the `salesTransactions` table ordered by `transactionno` in descending order, you can use the following SQL query: - -```sql -SELECT * FROM ""salesTransactions"" ORDER BY ""transactionno"" DESC; -```",4.0562396049,DeepSeek-R1-Distill-Llama-70B,111,1.0676593685683275,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` ASC,Show all data ordered by price in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004653,"SELECT * -FROM salesTransactions -ORDER BY price ASC;"," - -To fetch all data from the `salesTransactions` table ordered by `price` in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -ORDER BY price ASC; -```",3.5094978809,DeepSeek-R1-Distill-Llama-70B,112,1.0111116213493987,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` DESC,Show all data ordered by price in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004284,"SELECT * -FROM salesTransactions -ORDER BY price DESC;"," - -To fetch all data from the `salesTransactions` table ordered by `price` in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -ORDER BY price DESC; -```",3.2232525349,DeepSeek-R1-Distill-Llama-70B,113,0.9970385183851135,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` ASC,Project the productno ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004437,"SELECT productno -FROM salesTransactions -ORDER BY productno ASC;"," - -To project the `productno` in ascending order from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productno -FROM salesTransactions -ORDER BY productno ASC; -``` - -This query will: -1. Select the `productno` column from the `salesTransactions` table. -2. Order the results in ascending order based on the `productno` values.",3.3388235569,DeepSeek-R1-Distill-Llama-70B,114,0.9689726436841394,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` DESC,Project the productno ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004671,"SELECT productno -FROM salesTransactions -ORDER BY productno DESC;"," - -To project the `productno` in descending order from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productno -FROM salesTransactions -ORDER BY productno DESC; -``` - -This query will: -1. Select the `productno` column from the `salesTransactions` table. -2. Order the results in descending order based on the `productno` values.",3.8112187386,DeepSeek-R1-Distill-Llama-70B,115,1.0076136874175585,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` ASC,Project the quantity ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000468,"SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC;"," - -To project the `quantity` ordered in ascending order from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC; -``` - -This query will: -1. Select the `quantity` column from the `salesTransactions` table. -2. Order the results in ascending order based on the `quantity` values.",3.8654959202,DeepSeek-R1-Distill-Llama-70B,116,0.9996355457742784,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` DESC,Project the quantity ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004284,"SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC;"," - -To project the `quantity` ordered in descending order from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC; -``` - -This query will: -1. Select the `quantity` column from the `salesTransactions` table. -2. Order the results in descending order based on the `quantity` values.",3.0962014198,DeepSeek-R1-Distill-Llama-70B,117,0.9990776171678696,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `originalprice` FROM `fitnessTrackers`,Show all originalprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005013,SELECT originalprice FROM fitnessTrackers;," - -To fetch all `originalprice` values from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT originalprice FROM fitnessTrackers; -```",4.4938445091,DeepSeek-R1-Distill-Llama-70B,118,1.0242547282277132,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `averagebatterylife` FROM `fitnessTrackers`,Show all averagebatterylife in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005211,SELECT averagebatterylife FROM fitnessTrackers;," - -To fetch the `averagebatterylife` from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT averagebatterylife FROM fitnessTrackers; -```",4.4606389999,DeepSeek-R1-Distill-Llama-70B,119,1.0087157426994386,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `devicetype` FROM `fitnessTrackers`,Show all devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005175,SELECT devicetype FROM fitnessTrackers;," - -To fetch all `devicetype` entries from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype FROM fitnessTrackers; -```",4.4613211155,DeepSeek-R1-Distill-Llama-70B,120,1.0032555037896158,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `display` FROM `fitnessTrackers`,Show all display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005499,SELECT display FROM fitnessTrackers LIMIT 10;," - -To fetch all records from the ""display"" column in the ""fitnessTrackers"" table, you can use the following SQL query: - -```sql -SELECT display FROM fitnessTrackers; -``` - -This query will return all the values in the ""display"" column of your ""fitnessTrackers"" table. If you want to limit the number of results, you can add a LIMIT clause: - -```sql -SELECT display FROM fitnessTrackers LIMIT 10; -``` - -This will return the first 10 records from the ""display"" column.",4.6006450653,DeepSeek-R1-Distill-Llama-70B,121,0.0,1.0,0.8,0.0,0.5,0.2,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `brandname` FROM `fitnessTrackers`,Show all brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004968,SELECT brandname FROM fitnessTrackers;," - -To fetch all brand names from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT brandname FROM fitnessTrackers; -```",4.0046598911,DeepSeek-R1-Distill-Llama-70B,122,0.9945252119636302,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-ALL,SELECT * FROM `fitnessTrackers`,Show all the rows in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004662,SELECT * FROM fitnessTrackers;," - -To show all the rows in the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT * FROM fitnessTrackers; -``` - -This query will return all columns (`*`) for every row in the `fitnessTrackers` table.",3.5125851631,DeepSeek-R1-Distill-Llama-70B,123,1.0079934425142338,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,SELECT `sellingprice` FROM `fitnessTrackers`,Show all sellingprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005895,SELECT sellingprice FROM fitnessTrackers;," - -To fetch all `sellingprice` values from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT sellingprice FROM fitnessTrackers; -```",4.9423134327,DeepSeek-R1-Distill-Llama-70B,124,1.027064360654435,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `averagebatterylife` FROM `fitnessTrackers`","Show all strapmaterial, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004743,"SELECT strapmaterial, averagebatterylife -FROM fitnessTrackers;"," - -To fetch the `strapmaterial` and `averagebatterylife` from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT strapmaterial, averagebatterylife -FROM fitnessTrackers; -``` - -This query will return all rows from the `fitnessTrackers` table, showing only the `strapmaterial` and `averagebatterylife` columns.",3.8536314964,DeepSeek-R1-Distill-Llama-70B,125,1.0110532090256694,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `sellingprice`, `modelname`, `color` FROM `fitnessTrackers`","Show all sellingprice, modelname, color in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005031,"SELECT sellingprice, modelname, color FROM fitnessTrackers;"," - -To fetch the `sellingprice`, `modelname`, and `color` from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT sellingprice, modelname, color FROM fitnessTrackers; -```",4.520416975,DeepSeek-R1-Distill-Llama-70B,126,1.0007920970054527,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `modelname`, `brandname`, `color`, `averagebatterylife` FROM `fitnessTrackers`","Show all modelname, brandname, color, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005751,"SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers;"," - -To fetch the requested information from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT modelname, brandname, color, averagebatterylife -FROM fitnessTrackers; -``` - -This query will return all rows from the `fitnessTrackers` table, displaying the `modelname`, `brandname`, `color`, and `averagebatterylife` columns.",5.1378147602,DeepSeek-R1-Distill-Llama-70B,127,1.191963043556489,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `devicetype`, `modelname`, `brandname`, `averagebatterylife`, `display` FROM `fitnessTrackers`","Show all devicetype, modelname, brandname, averagebatterylife, display in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000513,"SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers;"," - -To fetch the required information from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT devicetype, modelname, brandname, averagebatterylife, display -FROM fitnessTrackers; -``` - -This query will return all the rows in your `fitnessTrackers` table with the specified columns: `devicetype`, `modelname`, `brandname`, `averagebatterylife`, and `display`.",4.8897612095,DeepSeek-R1-Distill-Llama-70B,128,1.0047150656234696,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, `strapmaterial` FROM `fitnessTrackers`","Show all rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005526,"SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial -FROM fitnessTrackers;"," - -To fetch the requested data from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial -FROM fitnessTrackers; -``` - -This query will return all records from the `fitnessTrackers` table with the specified columns: `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, and `strapmaterial`.",4.9707739353,DeepSeek-R1-Distill-Llama-70B,129,1.0193990010516008,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `rating`, `averagebatterylife`, `brandname`, `display`, `sellingprice`, `devicetype` FROM `fitnessTrackers`","Show all strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005337,"SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype -FROM fitnessTrackers;"," - -To fetch the specified columns from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype -FROM fitnessTrackers; -```",4.5286252499,DeepSeek-R1-Distill-Llama-70B,130,1.0490563160091027,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, `modelname` FROM `fitnessTrackers`","Show all averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000576,"SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname -FROM fitnessTrackers;"," - -To fetch the specified columns from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname -FROM fitnessTrackers; -``` - -This query will return all the records from the `fitnessTrackers` table with the columns: `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, and `modelname`.",4.9656817913,DeepSeek-R1-Distill-Llama-70B,131,0.9988902284785108,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `color`, `modelname`, `averagebatterylife`, `strapmaterial`, `display`, `brandname`, `sellingprice`, `devicetype`, `originalprice` FROM `fitnessTrackers`","Show all color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005211,"SELECT color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice -FROM ""fitnessTrackers"";"," - -To fetch the requested data from the `fitnessTrackers` table, you can use the following SQL query: - -```sql -SELECT color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice -FROM ""fitnessTrackers""; -``` - -This query selects all the specified columns from the `fitnessTrackers` table.",4.3022613525,DeepSeek-R1-Distill-Llama-70B,132,1.0204757764451506,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productno` FROM `salesTransactions`,Show all productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005004,SELECT productno FROM salesTransactions;," - -To fetch all `productno` from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productno FROM salesTransactions; -```",4.3055634499,DeepSeek-R1-Distill-Llama-70B,133,1.0000706016202066,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `country` FROM `salesTransactions`,Show all country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005292,"SELECT DISTINCT ""country"" FROM ""salesTransactions"";"," - -To fetch all countries from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT DISTINCT ""country"" FROM ""salesTransactions""; -``` - -This query will return a list of all unique country names present in the `salesTransactions` table.",4.4876055717,DeepSeek-R1-Distill-Llama-70B,134,0.0,1.0,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `transactionno` FROM `salesTransactions`,Show all transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004626,SELECT transactionno FROM salesTransactions;," - -To fetch all `transactionno` from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT transactionno FROM salesTransactions; -``` - -This query will return all the values in the `transactionno` column of your `salesTransactions` table.",3.4880337715,DeepSeek-R1-Distill-Llama-70B,135,1.0041070765578686,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `price` FROM `salesTransactions`,Show all price in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000342,SELECT price FROM salesTransactions;," - -To fetch all the prices from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT price FROM salesTransactions; -``` - -This query will return all the values in the `price` column of your `salesTransactions` table.",2.3595206738,DeepSeek-R1-Distill-Llama-70B,136,0.9886956591428908,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productname` FROM `salesTransactions`,Show all productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004563,SELECT DISTINCT productname FROM salesTransactions;," - -To fetch all product names from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT DISTINCT productname FROM salesTransactions; -``` - -This query will return all unique product names in the `salesTransactions` table.",3.9153869152,DeepSeek-R1-Distill-Llama-70B,137,1.0646509074232768,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-ALL,SELECT * FROM `salesTransactions`,Show all the rows in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005148,SELECT * FROM salesTransactions;," - -To show all the rows in the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT * FROM salesTransactions; -``` - -This query will return all rows and columns from the `salesTransactions` table.",4.3366203308,DeepSeek-R1-Distill-Llama-70B,138,1.0220365696600657,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,SELECT `quantity` FROM `salesTransactions`,Show all quantity in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0003717,SELECT quantity FROM salesTransactions;," - -To fetch all the quantities from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT quantity FROM salesTransactions; -```",2.8593161106,DeepSeek-R1-Distill-Llama-70B,139,1.003464394018067,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `productno` FROM `salesTransactions`","Show all price, productno in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004374,"SELECT price, productno FROM salesTransactions;"," - -To fetch the `price` and `productno` from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT price, productno FROM salesTransactions; -```",3.0860750675,DeepSeek-R1-Distill-Llama-70B,140,1.0112522701781939,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `customerno`, `date` FROM `salesTransactions`","Show all price, customerno, date in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005256,"SELECT price, customerno, date FROM salesTransactions;"," - -To fetch the `price`, `customerno`, and `date` from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT price, customerno, date FROM salesTransactions; -``` - -This query will return all rows in your `salesTransactions` table with the specified columns: `price`, `customerno`, and `date`.",4.4201178551,DeepSeek-R1-Distill-Llama-70B,141,0.9757376626214573,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `customerno`, `quantity`, `productname` FROM `salesTransactions`","Show all productno, customerno, quantity, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005589,"SELECT productno, customerno, quantity, productname FROM salesTransactions;"," - -To fetch the required information from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productno, customerno, quantity, productname FROM salesTransactions; -``` - -This query will return all rows from the `salesTransactions` table, displaying the columns `productno`, `customerno`, `quantity`, and `productname`.",4.9387273788,DeepSeek-R1-Distill-Llama-70B,142,1.0281961124662025,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `date`, `quantity`, `productno`, `price`, `country` FROM `salesTransactions`","Show all date, quantity, productno, price, country in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005121,"SELECT date, quantity, productno, price, country FROM salesTransactions;"," - -To fetch the date, quantity, productno, price, and country from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT date, quantity, productno, price, country FROM salesTransactions; -``` - -This query will return all rows from your `salesTransactions` table with the specified columns.",4.0352494717,DeepSeek-R1-Distill-Llama-70B,143,0.9976373363326627,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `price`, `country`, `customerno`, `transactionno`, `productname` FROM `salesTransactions`","Show all productno, price, country, customerno, transactionno, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005616,"SELECT productno, price, country, customerno, transactionno, productname -FROM ""salesTransactions"";"," - -To fetch the requested data from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT productno, price, country, customerno, transactionno, productname -FROM ""salesTransactions""; -``` - -This query will return all the rows in your table with the specified columns: `productno`, `price`, `country`, `customerno`, `transactionno`, and `productname`.",4.7985639572,DeepSeek-R1-Distill-Llama-70B,144,1.007187152782935,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity` FROM `salesTransactions`","Show all price, date, transactionno, productno, customerno, country, quantity in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.00054,"SELECT price, date, transactionno, productno, customerno, country, quantity -FROM ""salesTransactions"";"," - -To fetch the specified columns from the `salesTransactions` table, you can use the following SQL query: - -```sql -SELECT price, date, transactionno, productno, customerno, country, quantity -FROM ""salesTransactions""; -``` - -This query will return all the rows in your table with the columns: `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, and `quantity`.",16.8542346954,DeepSeek-R1-Distill-Llama-70B,145,1.0138451475296517,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` == 'White ',Show the data of the table fitnessTrackers where color is equal to White ,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005643,SELECT * FROM fitnessTrackers WHERE color = 'White';," - -To fetch the data from the `fitnessTrackers` table where the color is equal to ""White"", you can use the following SQL query: - -```sql -SELECT * FROM fitnessTrackers WHERE color = 'White'; -```",8.4526622295,DeepSeek-R1-Distill-Llama-70B,146,0.0,0.1,0.1,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color is different from Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005616,SELECT * FROM fitnessTrackers WHERE color != 'Black';," - -To fetch the data from the `fitnessTrackers` table where the color is different from ""Black"", you can use the following SQL query: - -```sql -SELECT * FROM fitnessTrackers WHERE color != 'Black'; -```",23.2752745152,DeepSeek-R1-Distill-Llama-70B,147,0.9932491572230355,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color not equal to Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005058,SELECT * FROM fitnessTrackers WHERE color != 'Black';," - -To fetch the data from the `fitnessTrackers` table where the color is not equal to ""Black"", you can use the following SQL query: - -```sql -SELECT * FROM fitnessTrackers WHERE color != 'Black'; -```",9.5338668823,DeepSeek-R1-Distill-Llama-70B,148,1.0445166684715361,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` == 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is equal to Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004815,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane';"," - -To fetch the data from the `fitnessTrackers` table where `strapmaterial` is equal to ""Thermoplastic polyurethane"", you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane'; -```",7.009802103,DeepSeek-R1-Distill-Llama-70B,149,0.9966871539985994,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is different from Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004599,SELECT * FROM fitnessTrackers WHERE strapmaterial <> 'Thermoplastic polyurethane';," - -```sql -SELECT * FROM fitnessTrackers WHERE strapmaterial <> 'Thermoplastic polyurethane'; -```",3.5987014771,DeepSeek-R1-Distill-Llama-70B,150,1.0427485489986923,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Aluminium',Show the data of the table fitnessTrackers where strapmaterial not equal to Aluminium,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004392,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium';"," - -To fetch the data from the `fitnessTrackers` table where `strapmaterial` is not equal to ""Aluminium"", you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium'; -```",5.4280798435,DeepSeek-R1-Distill-Llama-70B,151,0.9935419629150266,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` == 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is equal to TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004869,"SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display';"," - -To fetch the data from the `fitnessTrackers` table where the `display` is equal to ""TFT-LCD Display"", you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display'; -```",4.1870098114,DeepSeek-R1-Distill-Llama-70B,152,1.0197983651273346,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is different from TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004635,"SELECT * -FROM fitnessTrackers -WHERE display != 'TFT-LCD Display';"," - -To fetch the data from the `fitnessTrackers` table where the `display` is different from ""TFT-LCD Display"", you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE display != 'TFT-LCD Display'; -```",4.7589025497,DeepSeek-R1-Distill-Llama-70B,153,1.0018458964171904,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'AMOLED Display',Show the data of the table fitnessTrackers where display not equal to AMOLED Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004959,"SELECT * -FROM fitnessTrackers -WHERE display != 'AMOLED Display';"," - -To fetch the data from the `fitnessTrackers` table where the `display` is not equal to ""AMOLED Display"", you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE display != 'AMOLED Display'; -```",3.9190461636,DeepSeek-R1-Distill-Llama-70B,154,1.0256526370705978,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `averagebatterylife` > 14,Show the data of the table fitnessTrackers where averagebatterylife is greater than 14,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005049,"SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14;"," - -To fetch the data from the `fitnessTrackers` table where the `averagebatterylife` is greater than 14, you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14; -```",3.9611473083,DeepSeek-R1-Distill-Llama-70B,155,1.0245525230167563,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` > 45690.0,Show the data of the table fitnessTrackers where sellingprice is greater than 45690.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005634,"SELECT * -FROM fitnessTrackers -WHERE sellingprice > 45690.0;"," - -To fetch the data from the `fitnessTrackers` table where the `sellingprice` is greater than 45690.0, you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE sellingprice > 45690.0; -```",5.6266691685,DeepSeek-R1-Distill-Llama-70B,156,1.0328805607506406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` < 46990.0,Show the data of the table fitnessTrackers where sellingprice is less than 46990.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005076,SELECT * FROM fitnessTrackers WHERE sellingprice < 46990.0;," - -To fetch the data from the `fitnessTrackers` table where the `sellingprice` is less than 46990.0, you can use the following SQL query: - -```sql -SELECT * FROM fitnessTrackers WHERE sellingprice < 46990.0; -``` - -This query will return all rows in the `fitnessTrackers` table where the `sellingprice` is less than 46990.0.",3.6775579453,DeepSeek-R1-Distill-Llama-70B,157,1.0133075520925372,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` > 4.6,Show the data of the table fitnessTrackers where rating is greater than 4.6,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006039,"SELECT * -FROM fitnessTrackers -WHERE rating > 4.6;"," - -To fetch the data from the `fitnessTrackers` table where the `rating` is greater than 4.6, you can use the following SQL query: - -```sql -SELECT * -FROM fitnessTrackers -WHERE rating > 4.6; -```",4.8689131737,DeepSeek-R1-Distill-Llama-70B,158,1.0261691745148307,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0,Show the data of the table fitnessTrackers where rating is less than 4.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004743,SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0;," - -To fetch the data from the `fitnessTrackers` table where the `rating` is less than 4.0, you can use the following SQL query: - -```sql -SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0; -```",3.8343839645,DeepSeek-R1-Distill-Llama-70B,159,0.9691899425345758,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` == '12/1/2018',Show the data of the table salesTransactions where date is equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006462,"SELECT * -FROM salesTransactions -WHERE date = '12/1/2018';"," - -To fetch the data from the `salesTransactions` table where the date is equal to '12/1/2018', you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE date = '12/1/2018'; -```",5.6089069843,DeepSeek-R1-Distill-Llama-70B,160,1.007738959391349,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '9/15/2019',Show the data of the table salesTransactions where date is different from 9/15/2019,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005301,"SELECT * -FROM salesTransactions -WHERE date != '9/15/2019';"," - -To fetch the data from the `salesTransactions` table where the date is different from '9/15/2019', you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE date != '9/15/2019'; -``` - -This query will return all rows from the `salesTransactions` table where the `date` column does not match '9/15/2019'.",5.1297643185,DeepSeek-R1-Distill-Llama-70B,161,1.0589559389108694,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '12/1/2018',Show the data of the table salesTransactions where date not equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005373,"SELECT * -FROM salesTransactions -WHERE date <> '12/1/2018';"," - -To fetch the data from the `salesTransactions` table where the `date` is not equal to '12/1/2018', you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE date <> '12/1/2018'; -``` - -This query will return all rows from the `salesTransactions` table where the `date` column does not match '12/1/2018'.",4.2043321133,DeepSeek-R1-Distill-Llama-70B,162,1.0024865229326032,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` == '566959',Show the data of the table salesTransactions where transactionno is equal to 566959,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004464,"SELECT * -FROM salesTransactions -WHERE transactionno = '566959';"," - -To fetch the data from the `salesTransactions` table where `transactionno` is equal to 566959, you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE transactionno = '566959'; -```",3.608767271,DeepSeek-R1-Distill-Llama-70B,163,1.0487731222995673,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '579557',Show the data of the table salesTransactions where transactionno is different from 579557,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004635,"SELECT * -FROM salesTransactions -WHERE transactionno != '579557';"," - -To fetch the data from the `salesTransactions` table where `transactionno` is different from ""579557"", you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE transactionno != '579557'; -``` - -This query will return all rows from the `salesTransactions` table where the `transactionno` is not equal to ""579557"".",3.8487534523,DeepSeek-R1-Distill-Llama-70B,164,1.0040139581268424,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '549047',Show the data of the table salesTransactions where transactionno not equal to 549047,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004653,"SELECT * -FROM salesTransactions -WHERE transactionno != '549047';"," - -To fetch the data from the `salesTransactions` table where `transactionno` is not equal to 549047, you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE transactionno != '549047'; -``` - -This query will return all rows from the `salesTransactions` table except the row where `transactionno` is 549047.",3.5389213562,DeepSeek-R1-Distill-Llama-70B,165,1.0318189500100665,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` == 'Metal-4-Hook-Hanger-French-Chateau',Show the data of the table salesTransactions where productname is equal to Metal-4-Hook-Hanger-French-Chateau,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005049,SELECT * FROM salesTransactions WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';," - -```sql -SELECT * FROM salesTransactions WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau'; -```",3.9986515045,DeepSeek-R1-Distill-Llama-70B,166,0.998907868950863,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Skulls-Water-Transfer-Tattoos',Show the data of the table salesTransactions where productname is different from Skulls-Water-Transfer-Tattoos,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006651,"SELECT * -FROM salesTransactions -WHERE productname != 'Skulls-Water-Transfer-Tattoos';"," - -To fetch the data from the `salesTransactions` table where the `productname` is different from ""Skulls-Water-Transfer-Tattoos,"" you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE productname != 'Skulls-Water-Transfer-Tattoos'; -```",5.9756674767,DeepSeek-R1-Distill-Llama-70B,167,1.0022509771547898,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Pink-Party-Bags',Show the data of the table salesTransactions where productname not equal to Pink-Party-Bags,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005166,"SELECT * -FROM salesTransactions -WHERE productname <> 'Pink-Party-Bags';"," - -To fetch the data from the `salesTransactions` table where the `productname` is not equal to 'Pink-Party-Bags', you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE productname <> 'Pink-Party-Bags'; -```",4.2812600136,DeepSeek-R1-Distill-Llama-70B,168,1.0053594119460987,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` > 13.27,Show the data of the table salesTransactions where price is greater than 13.27,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004851,"SELECT * -FROM salesTransactions -WHERE price > 13.27;"," - -To fetch the data from the `salesTransactions` table where the `price` is greater than 13.27, you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE price > 13.27; -```",4.570887804,DeepSeek-R1-Distill-Llama-70B,169,1.0334280052601197,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` < 6.19,Show the data of the table salesTransactions where price is less than 6.19,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005796,SELECT * FROM salesTransactions WHERE price < 6.19;," - -```sql -SELECT * FROM salesTransactions WHERE price < 6.19; -```",5.0560657978,DeepSeek-R1-Distill-Llama-70B,170,1.0192030519817297,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` > 2,Show the data of the table salesTransactions where quantity is greater than 2,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004293,"SELECT * -FROM salesTransactions -WHERE quantity > 2;"," - -To fetch the data from the `salesTransactions` table where the `quantity` is greater than 2, you can use the following SQL query: - -```sql -SELECT * -FROM salesTransactions -WHERE quantity > 2; -```",3.2873315811,DeepSeek-R1-Distill-Llama-70B,171,1.0223215217708668,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` < 1,Show the data of the table salesTransactions where quantity is less than 1,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005202,SELECT * FROM salesTransactions WHERE quantity < 1;," - -To fetch the data from the `salesTransactions` table where the `quantity` is less than 1, you can use the following SQL query: - -```sql -SELECT * FROM salesTransactions WHERE quantity < 1; -```",4.0422716141,DeepSeek-R1-Distill-Llama-70B,172,1.0108040777374665,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` > 14001.0,Show the data of the table salesTransactions where customerno is greater than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005427,SELECT * FROM salesTransactions WHERE customerno > 14001.0;," - -To fetch the data from the `salesTransactions` table where `customerno` is greater than 14001.0, you can use the following SQL query: - -```sql -SELECT * FROM salesTransactions WHERE customerno > 14001.0; -```",4.8261108398,DeepSeek-R1-Distill-Llama-70B,173,1.0059945312196448,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` < 14001.0,Show the data of the table salesTransactions where customerno is less than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006957,SELECT * FROM salesTransactions WHERE customerno < 14001.0;," - -To fetch the data from the `salesTransactions` table where `customerno` is less than 14001.0, you can use the following SQL query: - -```sql -SELECT * FROM salesTransactions WHERE customerno < 14001.0; -```",5.9110612869,DeepSeek-R1-Distill-Llama-70B,174,0.9981945819884928,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`,How many different strapmaterial are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005409,"SELECT COUNT(DISTINCT strapmaterial) -FROM fitnessTrackers;"," - -To determine how many different `strapmaterial` values exist in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT strapmaterial) -FROM fitnessTrackers; -```",4.4766392708,DeepSeek-R1-Distill-Llama-70B,175,1.077392883041825,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `brandname`) FROM `fitnessTrackers`,How many different brandname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004356,SELECT COUNT(DISTINCT brandname) FROM fitnessTrackers;," - -To determine how many different brand names are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT brandname) FROM fitnessTrackers; -```",4.1175510883,DeepSeek-R1-Distill-Llama-70B,176,1.0068810254522635,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `modelname`) FROM `fitnessTrackers`,How many different modelname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004824,SELECT COUNT(DISTINCT modelname) FROM `fitnessTrackers`;," - -To determine how many different `modelname`s are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT modelname) FROM `fitnessTrackers`; -```",4.0759739876,DeepSeek-R1-Distill-Llama-70B,177,1.0060642555587658,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `color`) FROM `fitnessTrackers`,How many different color are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004149,"SELECT COUNT(DISTINCT color) AS numberOfColors -FROM fitnessTrackers;"," - -To determine how many different colors are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT color) AS numberOfColors -FROM fitnessTrackers; -``` - -This query will return the number of distinct colors available in the `fitnessTrackers` table.",3.4828567505,DeepSeek-R1-Distill-Llama-70B,178,1.023262147627903,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`,How many different display are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004392,SELECT COUNT(DISTINCT display) AS display_count FROM fitnessTrackers;," - -To determine how many different displays are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT display) AS display_count FROM fitnessTrackers; -``` - -This query will return the number of unique display values in the `fitnessTrackers` table.",3.6882836819,DeepSeek-R1-Distill-Llama-70B,179,1.0142664421973817,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`rating`) FROM `fitnessTrackers`,Find the maximum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0006174,SELECT MAX(rating) AS max_rating FROM fitnessTrackers;," - -To find the maximum rating for the table `fitnessTrackers`, you can use the SQL `MAX()` function. Here is the SQL code: - -```sql -SELECT MAX(rating) AS max_rating FROM fitnessTrackers; -``` - -This query will return the highest rating value from the `rating` column in the `fitnessTrackers` table.",5.9162957668,DeepSeek-R1-Distill-Llama-70B,180,1.0045673047412322,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`rating`) FROM `fitnessTrackers`,Find the minimum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000432,SELECT MIN(rating) FROM fitnessTrackers;," - -To find the minimum rating for the table `fitnessTrackers`, you can use the SQL `MIN()` function on the `rating` column. Here's the SQL code: - -```sql -SELECT MIN(rating) FROM fitnessTrackers; -```",3.3418064117,DeepSeek-R1-Distill-Llama-70B,181,0.997049494057375,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`rating`) FROM `fitnessTrackers`,Find the average rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005157,SELECT AVG(rating) AS average_rating FROM fitnessTrackers;," - -To find the average rating for the table `fitnessTrackers`, you can use the SQL `AVG()` function on the `rating` column. Here is the SQL code: - -```sql -SELECT AVG(rating) AS average_rating FROM fitnessTrackers; -``` - -This query will calculate the average value of the `rating` column in the `fitnessTrackers` table and return it as `average_rating`.",4.5544302464,DeepSeek-R1-Distill-Llama-70B,182,1.0169117445171516,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`originalprice`) FROM `fitnessTrackers`,Find the maximum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004761,SELECT MAX(originalprice) AS max_originalprice FROM fitnessTrackers;," - -To find the maximum `originalprice` for the table `fitnessTrackers`, you can use the SQL `MAX()` function. Here is the SQL code: - -```sql -SELECT MAX(originalprice) AS max_originalprice FROM fitnessTrackers; -``` - -This query will return the highest value in the `originalprice` column of the `fitnessTrackers` table.",3.8179252148,DeepSeek-R1-Distill-Llama-70B,183,0.9916612400941723,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`originalprice`) FROM `fitnessTrackers`,Find the minimum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004455,SELECT MIN(originalprice) AS minimum_originalprice FROM fitnessTrackers;," - -To find the minimum `originalprice` from the `fitnessTrackers` table, you can use the SQL `MIN()` function. Here's the SQL code: - -```sql -SELECT MIN(originalprice) AS minimum_originalprice FROM fitnessTrackers; -```",3.6295907497,DeepSeek-R1-Distill-Llama-70B,184,1.0440830589475665,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`originalprice`) FROM `fitnessTrackers`,Find the average originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004887,SELECT AVG(originalprice) AS average_originalprice FROM fitnessTrackers;," - -To find the average `originalprice` for the table `fitnessTrackers`, you can use the SQL `AVG()` function. Here is the SQL code: - -```sql -SELECT AVG(originalprice) AS average_originalprice FROM fitnessTrackers; -``` - -This query will calculate the average value of the `originalprice` column in the `fitnessTrackers` table and return it under the alias `average_originalprice`.",4.0073254108,DeepSeek-R1-Distill-Llama-70B,185,1.0237154982418613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `transactionno`) FROM `salesTransactions`,How many different transactionno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.000486,SELECT COUNT(DISTINCT transactionno) FROM salesTransactions;," - -To determine how many different `transactionno` values exist in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT transactionno) FROM salesTransactions; -```",4.0202412605,DeepSeek-R1-Distill-Llama-70B,186,0.9942699215046994,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `date`) FROM `salesTransactions`,How many different date are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005598,"SELECT COUNT(DISTINCT date) -FROM salesTransactions;"," - -To determine how many different dates are in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT date) -FROM salesTransactions; -```",4.7631118298,DeepSeek-R1-Distill-Llama-70B,187,1.0388843820796991,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productno`) FROM `salesTransactions`,How many different productno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005121,"SELECT COUNT(DISTINCT productno) AS ""Number of Unique Product Nos"" -FROM salesTransactions;"," - -To determine how many different `productno` values exist in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT productno) AS ""Number of Unique Product Nos"" -FROM salesTransactions; -``` - -This query will return the number of unique `productno` values in your `salesTransactions` table.",4.1801612377,DeepSeek-R1-Distill-Llama-70B,188,1.0082079362965795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productname`) FROM `salesTransactions`,How many different productname are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004599,"SELECT COUNT(DISTINCT productname) AS numberOfUniqueProducts -FROM `salesTransactions`;"," - -To determine how many different `productname`s are in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT productname) AS numberOfUniqueProducts -FROM `salesTransactions`; -``` - -This query will return the number of unique product names in your `salesTransactions` table.",3.5820558071,DeepSeek-R1-Distill-Llama-70B,189,0.9993282735214164,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`,How many different country are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005022,"SELECT COUNT(DISTINCT country) AS ""Number of Countries"" FROM salesTransactions;"," - -To determine how many different countries are in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT country) AS ""Number of Countries"" FROM salesTransactions; -``` - -This query will return the number of unique countries present in the `country` column of the `salesTransactions` table.",3.8020784855,DeepSeek-R1-Distill-Llama-70B,190,1.0349273570058064,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`price`) FROM `salesTransactions`,Find the maximum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004824,SELECT MAX(price) AS max_price FROM salesTransactions;," - -To find the maximum price in the `salesTransactions` table, you can use the SQL `MAX()` function on the `price` column. Here's the SQL code: - -```sql -SELECT MAX(price) AS max_price FROM salesTransactions; -``` - -This query will return the highest value in the `price` column of your `salesTransactions` table.",4.181075573,DeepSeek-R1-Distill-Llama-70B,191,1.0299634929378898,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`price`) FROM `salesTransactions`,Find the minimum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004428,"SELECT MIN(price) FROM ""salesTransactions"";"," - -To find the minimum price in the `salesTransactions` table, you can use the SQL `MIN()` function. Here's the SQL query: - -```sql -SELECT MIN(price) FROM ""salesTransactions""; -```",3.6545529366,DeepSeek-R1-Distill-Llama-70B,192,1.0225412128102267,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`price`) FROM `salesTransactions`,Find the average price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004851,SELECT AVG(price) AS average_price FROM salesTransactions;," - -To find the average price for the table `salesTransactions`, you can use the SQL `AVG()` function on the `price` column. Here's the SQL code: - -```sql -SELECT AVG(price) AS average_price FROM salesTransactions; -``` - -This query will calculate and return the average value of the `price` column in your `salesTransactions` table.",3.7298851013,DeepSeek-R1-Distill-Llama-70B,193,1.0331520045448637,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`customerno`) FROM `salesTransactions`,Find the maximum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004914,SELECT MAX(customerno) AS max_customerno FROM salesTransactions;," - -To find the maximum `customerno` from the `salesTransactions` table, you can use the SQL `MAX()` function. Here's the SQL code: - -```sql -SELECT MAX(customerno) AS max_customerno FROM salesTransactions; -``` - -This query will return the highest `customerno` value in your `salesTransactions` table.",4.1347596645,DeepSeek-R1-Distill-Llama-70B,194,1.0081392116578414,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`customerno`) FROM `salesTransactions`,Find the minimum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0005373,SELECT MIN(customerno) AS minimum_customerno FROM salesTransactions;," - -To find the minimum `customerno` from the `salesTransactions` table, you can use the SQL `MIN()` function. Here's the SQL code: - -```sql -SELECT MIN(customerno) AS minimum_customerno FROM salesTransactions; -``` - -This query will return the smallest `customerno` value in your `salesTransactions` table.",4.7585511208,DeepSeek-R1-Distill-Llama-70B,195,1.0077938255157408,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`customerno`) FROM `salesTransactions`,Find the average customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0004743,SELECT AVG(customerno) AS average_customerno FROM salesTransactions;," - -To find the average `customerno` for the table `salesTransactions`, you can use the SQL `AVG()` function. Here's the SQL code: - -```sql -SELECT AVG(customerno) AS average_customerno FROM salesTransactions; -``` - -This query will calculate the average value of the `customerno` column in your `salesTransactions` table and return it under the alias `average_customerno`.",3.6603291035,DeepSeek-R1-Distill-Llama-70B,196,1.0356913908917331,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paymenttype` FROM `accountFraud`,Show the different paymenttype in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006165,SELECT DISTINCT paymenttype FROM accountFraud;," - -To fetch the different payment types from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT paymenttype FROM accountFraud; -``` - -This query will return all unique values in the `paymenttype` column of the `accountFraud` table.",4.7334902287,DeepSeek-R1-Distill-Llama-70B,197,1.0216644653700773,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `housingstatus` FROM `accountFraud`,Show the different housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005517,"SELECT DISTINCT ""housingstatus"" FROM ""accountFraud"";"," - -To show the different `housingstatus` values in the `accountFraud` table, you can use the `DISTINCT` keyword in SQL to fetch unique values. Here is the SQL code: - -```sql -SELECT DISTINCT ""housingstatus"" FROM ""accountFraud""; -```",4.2753465176,DeepSeek-R1-Distill-Llama-70B,198,0.9937105755401885,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `deviceos` FROM `accountFraud`,Show the different deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000567,SELECT DISTINCT deviceos FROM accountFraud;," - -To show the different `deviceos` in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT deviceos FROM accountFraud; -``` - -This query will return all unique values in the `deviceos` column of the `accountFraud` table.",4.7684471607,DeepSeek-R1-Distill-Llama-70B,199,0.9985065334677111,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `emailisfree` FROM `accountFraud`,Show the different emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005472,SELECT DISTINCT emailisfree FROM accountFraud;," - -To show the different values of `emailisfree` in the `accountFraud` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here is the SQL code: - -```sql -SELECT DISTINCT emailisfree FROM accountFraud; -``` - -This query will return all unique values in the `emailisfree` column of the `accountFraud` table.",4.3906140327,DeepSeek-R1-Distill-Llama-70B,200,0.996419456975816,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hasothercards` FROM `accountFraud`,Show the different hasothercards in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004671,"SELECT DISTINCT ""hasothercards"" FROM ""accountFraud"";"," - -To show the different values of `hasothercards` in the `accountFraud` table, you can use the `SELECT DISTINCT` statement. Here is the SQL code: - -```sql -SELECT DISTINCT ""hasothercards"" FROM ""accountFraud""; -```",3.3282351494,DeepSeek-R1-Distill-Llama-70B,201,0.9957221253558288,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `customerid` FROM `latePayment`,Show the different customerid in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004977,SELECT DISTINCT customerid FROM latePayment;," - -To fetch the different `customerid` values from the `latePayment` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here's the SQL code: - -```sql -SELECT DISTINCT customerid FROM latePayment; -```",3.7463824749,DeepSeek-R1-Distill-Llama-70B,202,1.03092556369664,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `invoicedate` FROM `latePayment`,Show the different invoicedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005553,SELECT DISTINCT invoicedate FROM latePayment;," - -To fetch the different `invoicedate` values from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT invoicedate FROM latePayment; -``` - -This query will return all unique `invoicedate` values present in the `latePayment` table.",4.2653264999,DeepSeek-R1-Distill-Llama-70B,203,0.9914206751139022,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `duedate` FROM `latePayment`,Show the different duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004527,SELECT DISTINCT duedate FROM latePayment;," - -To fetch the different `duedate` values from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT duedate FROM latePayment; -``` - -This query will return all unique values in the `duedate` column of the `latePayment` table.",3.2770974636,DeepSeek-R1-Distill-Llama-70B,204,1.004417050163216,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paperlessbill` FROM `latePayment`,Show the different paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004968,SELECT DISTINCT paperlessbill FROM latePayment;," - -To retrieve the different values of `paperlessbill` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT paperlessbill FROM latePayment; -``` - -This query will return all unique values in the `paperlessbill` column of the `latePayment` table.",3.7049725056,DeepSeek-R1-Distill-Llama-70B,205,1.0405695203560965,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `disputed` FROM `latePayment`,Show the different disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004365,SELECT DISTINCT disputed FROM latePayment;," - -To show the different values in the `disputed` column of the `latePayment` table, you can use the `DISTINCT` keyword in SQL to fetch unique values. Here's the SQL code: - -```sql -SELECT DISTINCT disputed FROM latePayment; -```",3.0589928627,DeepSeek-R1-Distill-Llama-70B,206,0.9930907967662743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `employmentstatus`, COUNT(*) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005553,"SELECT - employmentstatus, - COUNT(*) AS row_count -FROM - accountFraud -GROUP BY - employmentstatus -ORDER BY - row_count DESC;"," - -To count the number of rows for each `employmentstatus` in the `accountFraud` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - employmentstatus, - COUNT(*) AS row_count -FROM - accountFraud -GROUP BY - employmentstatus -ORDER BY - row_count DESC; -``` - -This query will: -1. Select the `employmentstatus` column -2. Count the number of rows for each `employmentstatus` using `COUNT(*)` -3. Group the results by `employmentstatus` -4. Optionally, order the results by the count in descending order (you can remove the `ORDER BY` clause if you don't need sorting)",4.2128379345,DeepSeek-R1-Distill-Llama-70B,207,1.0019869254955958,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `deviceos`, COUNT(*) FROM `accountFraud` GROUP BY `deviceos`","For each deviceos, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004653,"SELECT - deviceos, - COUNT(*) as row_count -FROM - accountFraud -GROUP BY - deviceos;"," - -To count the number of rows for each `deviceos` in the `accountFraud` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - deviceos, - COUNT(*) as row_count -FROM - accountFraud -GROUP BY - deviceos; -``` - -This query will return the number of rows for each unique `deviceos` value in your `accountFraud` table.",3.24395895,DeepSeek-R1-Distill-Llama-70B,208,1.0181053292947941,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `emailisfree`, COUNT(*) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005472,"SELECT - emailisfree, - COUNT(*) as count_rows -FROM - accountFraud -GROUP BY - emailisfree;"," - -To count the number of rows in the `accountFraud` table for each `emailisfree` value, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - emailisfree, - COUNT(*) as count_rows -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This query will return the number of rows for each unique `emailisfree` value in the `accountFraud` table.",3.9046318531,DeepSeek-R1-Distill-Llama-70B,209,0.9920957100700334,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `hasothercards`, COUNT(*) FROM `accountFraud` GROUP BY `hasothercards`","For each hasothercards, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005517,"SELECT - hasothercards, - COUNT(*) AS row_count -FROM - accountFraud -GROUP BY - hasothercards;"," - -To count the number of rows in the `accountFraud` table for each `hasothercards` value, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - hasothercards, - COUNT(*) AS row_count -FROM - accountFraud -GROUP BY - hasothercards; -``` - -This query will return the number of rows for each distinct value in the `hasothercards` column.",4.523491621,DeepSeek-R1-Distill-Llama-70B,210,1.00409744488875,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `housingstatus`, COUNT(*) FROM `accountFraud` GROUP BY `housingstatus`","For each housingstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004932,"SELECT - housingstatus, - COUNT(*) AS row_count -FROM - accountFraud -GROUP BY - housingstatus;"," - -To count the number of rows for each `housingstatus` in the `accountFraud` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - housingstatus, - COUNT(*) AS row_count -FROM - accountFraud -GROUP BY - housingstatus; -``` - -This query will return the number of rows for each distinct `housingstatus` in your `accountFraud` table.",3.5263874531,DeepSeek-R1-Distill-Llama-70B,211,0.9680848815410931,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005895,"SELECT - emailisfree, - MIN(dateofbirthdistinctemails4w) AS min_dateofbirth -FROM - accountFraud -GROUP BY - emailisfree;"," - -To find the minimum value of `dateofbirthdistinctemails4w` for each `emailisfree` in the `accountFraud` table, you can use the SQL `MIN()` function combined with a `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - emailisfree, - MIN(dateofbirthdistinctemails4w) AS min_dateofbirth -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This query will return the minimum `dateofbirthdistinctemails4w` value for each distinct `emailisfree` in your table.",4.4338908195,DeepSeek-R1-Distill-Llama-70B,212,1.0033323517378712,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005922,"SELECT - emailisfree, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirth -FROM - accountFraud -GROUP BY - emailisfree -ORDER BY - emailisfree;"," - -To translate the question into SQL code, we need to fetch the maximum value of `dateofbirthdistinctemails4w` for each unique `emailisfree` in the `accountFraud` table. Here's the SQL code: - -```sql -SELECT - emailisfree, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirth -FROM - accountFraud -GROUP BY - emailisfree -ORDER BY - emailisfree; -``` - -This SQL query will: -1. Select the `emailisfree` column and the maximum value of `dateofbirthdistinctemails4w` for each `emailisfree`. -2. Group the results by the `emailisfree` column. -3. Optionally, order the results by `emailisfree` for better readability.",4.5051658154,DeepSeek-R1-Distill-Llama-70B,213,1.001061210674631,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007074,"SELECT - emailisfree, - AVG(dateofbirthdistinctemails4w) AS average_dateofbirth -FROM - accountFraud -GROUP BY - emailisfree;"," - -To translate the question into SQL code, we need to calculate the average value of the `dateofbirthdistinctemails4w` column for each distinct value in the `emailisfree` column in the `accountFraud` table. - -Here is the SQL code: - -```sql -SELECT - emailisfree, - AVG(dateofbirthdistinctemails4w) AS average_dateofbirth -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will: -1. Select the `emailisfree` column. -2. Calculate the average of the `dateofbirthdistinctemails4w` column for each `emailisfree` value. -3. Group the results by the `emailisfree` column.",5.5685384274,DeepSeek-R1-Distill-Llama-70B,214,1.0369665842042808,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007119,"SELECT - emailisfree, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree;"," - -To translate the question into SQL code, we need to calculate the sum of `dateofbirthdistinctemails4w` for each unique value of `emailisfree` in the `accountFraud` table. Here's the SQL code: - -```sql -SELECT - emailisfree, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will: -1. Select the `emailisfree` column. -2. Calculate the sum of `dateofbirthdistinctemails4w` for each `emailisfree` value. -3. Group the results by the `emailisfree` column.",6.1306114197,DeepSeek-R1-Distill-Llama-70B,215,1.0211563974559263,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005292,"SELECT - emailisfree, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - emailisfree;"," - -To find the minimum `sessionlengthminutes` for each `emailisfree` in the `accountFraud` table, you can use the SQL `MIN` function combined with a `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - emailisfree, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This query will return the minimum `sessionlengthminutes` for each unique `emailisfree` value in your table.",3.9467871189,DeepSeek-R1-Distill-Llama-70B,216,1.014816805005581,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005517,"SELECT - emailisfree, - MAX(sessionlengthminutes) AS max_session_length -FROM - accountFraud -GROUP BY - emailisfree;"," - -To find the maximum `sessionlengthminutes` for each `emailisfree` in the `accountFraud` table, you can use the SQL `MAX` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - emailisfree, - MAX(sessionlengthminutes) AS max_session_length -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This query will return the maximum `sessionlengthminutes` for each unique `emailisfree` value in the `accountFraud` table.",4.1125650406,DeepSeek-R1-Distill-Llama-70B,217,1.0425814490808243,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006201,"SELECT - emailisfree, - AVG(sessionlengthminutes) AS avg_session_length -FROM - accountFraud -GROUP BY - emailisfree -ORDER BY - emailisfree;"," - -To find the average of `sessionlengthminutes` for each `emailisfree` in the `accountFraud` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - emailisfree, - AVG(sessionlengthminutes) AS avg_session_length -FROM - accountFraud -GROUP BY - emailisfree -ORDER BY - emailisfree; -``` - -This query will: -1. Select the `emailisfree` column and calculate the average of `sessionlengthminutes` for each group of `emailisfree`. -2. Group the results by the `emailisfree` column. -3. Optionally order the results by `emailisfree` for better readability.",4.5828442574,DeepSeek-R1-Distill-Llama-70B,218,1.0181605684568003,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004734,"SELECT - emailisfree, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - emailisfree;"," - -To translate the question into SQL code, we need to calculate the sum of `sessionlengthminutes` for each unique value of `emailisfree` in the `accountFraud` table. This can be achieved using the `SUM()` aggregation function combined with the `GROUP BY` clause. - -```sql -SELECT - emailisfree, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - emailisfree; -```",3.3438546658,DeepSeek-R1-Distill-Llama-70B,219,1.0066962044487895,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00063,"SELECT - employmentstatus, - MIN(dateofbirthdistinctemails4w) AS min_date -FROM - accountFraud -GROUP BY - employmentstatus -ORDER BY - employmentstatus;"," - -To translate the question into SQL code, we need to find the minimum value of `dateofbirthdistinctemails4w` for each `employmentstatus` in the `accountFraud` table. Here's the SQL code: - -```sql -SELECT - employmentstatus, - MIN(dateofbirthdistinctemails4w) AS min_date -FROM - accountFraud -GROUP BY - employmentstatus -ORDER BY - employmentstatus; -``` - -This SQL query: -1. Selects the `employmentstatus` column and calculates the minimum value of `dateofbirthdistinctemails4w` for each group of `employmentstatus`. -2. Groups the results by `employmentstatus`. -3. Optionally orders the results by `employmentstatus` for better readability.",5.1928524971,DeepSeek-R1-Distill-Llama-70B,220,1.023353027609488,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005769,"SELECT - employmentstatus, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;"," - -To translate the question into SQL code, we need to fetch the maximum value of `dateofbirthdistinctemails4w` for each `employmentstatus` in the `accountFraud` table. Here's the SQL code: - -```sql -SELECT - employmentstatus, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will: -1. Group the rows in the `accountFraud` table by the `employmentstatus` column. -2. For each group (i.e., for each unique `employmentstatus`), it will calculate the maximum value of the `dateofbirthdistinctemails4w` column. -3. Return a result set with two columns: `employmentstatus` and the maximum `dateofbirthdistinctemails4w` for that status.",4.2399950027,DeepSeek-R1-Distill-Llama-70B,221,1.0036370733751705,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005967,"SELECT - employmentstatus, - AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;"," - -To find the average of `dateofbirthdistinctemails4w` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - employmentstatus, - AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This query will: -1. Group the rows in the `accountFraud` table by the `employmentstatus` column. -2. Calculate the average value of `dateofbirthdistinctemails4w` for each group. -3. Return the results with the `employmentstatus` and the corresponding average value.",4.4591653347,DeepSeek-R1-Distill-Llama-70B,222,1.0012424106572217,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005814,"SELECT - employmentstatus, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;"," - -To translate the question into SQL code, we need to calculate the sum of the `dateofbirthdistinctemails4w` column for each unique `employmentstatus` in the `accountFraud` table. Here's the SQL code: - -```sql -SELECT - employmentstatus, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will: -1. Select the `employmentstatus` column. -2. Calculate the sum of the `dateofbirthdistinctemails4w` column for each `employmentstatus`. -3. Group the results by the `employmentstatus` values.",4.4538886547,DeepSeek-R1-Distill-Llama-70B,223,1.0269808091138553,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004896,"SELECT - employmentstatus, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - employmentstatus;"," - -To find the minimum `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - employmentstatus, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This query will return the minimum `sessionlengthminutes` for each distinct `employmentstatus` in your table.",3.5258102417,DeepSeek-R1-Distill-Llama-70B,224,1.0066186809779896,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004977,"SELECT - employmentstatus, - MAX(sessionlengthminutes) AS max_session_length -FROM - accountFraud -GROUP BY - employmentstatus;"," - -To find the maximum `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - employmentstatus, - MAX(sessionlengthminutes) AS max_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This query will return the maximum `sessionlengthminutes` for each distinct `employmentstatus` in your table.",3.3720035553,DeepSeek-R1-Distill-Llama-70B,225,1.0070393531628525,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005355,"SELECT - employmentstatus, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - employmentstatus;"," - -To find the average `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - employmentstatus, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This query will: -1. Group the rows in the `accountFraud` table by the `employmentstatus` column. -2. Calculate the average value of `sessionlengthminutes` for each group. -3. Return the results with the `employmentstatus` and the corresponding average session length.",3.8175730705,DeepSeek-R1-Distill-Llama-70B,226,0.986724012974699,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005436,"SELECT - employmentstatus, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - employmentstatus -ORDER BY - employmentstatus;"," - -To fetch the sum of `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT - employmentstatus, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - employmentstatus -ORDER BY - employmentstatus; -``` - -This query: -1. Selects the `employmentstatus` column and calculates the sum of `sessionlengthminutes` for each group of `employmentstatus`. -2. Groups the results by `employmentstatus`. -3. Optionally orders the results by `employmentstatus` for better readability.",3.9217562675,DeepSeek-R1-Distill-Llama-70B,227,1.0051488382314444,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessdate`, COUNT(*) FROM `latePayment` GROUP BY `paperlessdate`","For each paperlessdate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005319,"SELECT - paperlessdate, - COUNT(*) as count_per_paperlessdate -FROM - latePayment -GROUP BY - paperlessdate;"," - -To count the number of rows in the `latePayment` table for each `paperlessdate`, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - paperlessdate, - COUNT(*) as count_per_paperlessdate -FROM - latePayment -GROUP BY - paperlessdate; -``` - -This query will return the number of rows for each unique `paperlessdate` in the `latePayment` table.",4.2987680435,DeepSeek-R1-Distill-Llama-70B,228,1.0005453501367672,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessbill`, COUNT(*) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000684,"SELECT - paperlessbill, - COUNT(*) AS row_count -FROM - latePayment -GROUP BY - paperlessbill;"," - -To count the number of rows in the `latePayment` table for each `paperlessbill`, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - paperlessbill, - COUNT(*) AS row_count -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This SQL query will: -1. Group the rows in the `latePayment` table by the `paperlessbill` column. -2. Count the number of rows for each unique `paperlessbill` value. -3. Return a result set with two columns: `paperlessbill` and `row_count` (the number of rows for each `paperlessbill`).",5.3576366901,DeepSeek-R1-Distill-Llama-70B,229,1.023378940312438,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `customerid`, COUNT(*) FROM `latePayment` GROUP BY `customerid`","For each customerid, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005679,"SELECT - customerid, - COUNT(*) AS numberOfLatePayments -FROM - latePayment -GROUP BY - customerid;"," - -To count the number of rows for each `customerid` in the `latePayment` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - customerid, - COUNT(*) AS numberOfLatePayments -FROM - latePayment -GROUP BY - customerid; -``` - -This query will: -1. Select the `customerid` column. -2. Count the number of rows for each `customerid` using `COUNT(*)`. -3. Group the results by the `customerid` column. -4. Return the number of late payments for each customer.",4.4510900974,DeepSeek-R1-Distill-Llama-70B,230,1.004531326782069,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `duedate`, COUNT(*) FROM `latePayment` GROUP BY `duedate`","For each duedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005598,"SELECT - duedate, - COUNT(*) as row_count -FROM - latePayment -GROUP BY - duedate;"," - -To count the number of rows for each `duedate` in the `latePayment` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - duedate, - COUNT(*) as row_count -FROM - latePayment -GROUP BY - duedate; -``` - -This query will return the number of rows for each unique `duedate` in the `latePayment` table.",4.1350529194,DeepSeek-R1-Distill-Llama-70B,231,1.0046210784503014,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `invoicedate`, COUNT(*) FROM `latePayment` GROUP BY `invoicedate`","For each invoicedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000558,"SELECT - invoicedate, - COUNT(*) as count_per_invoicedate -FROM - latePayment -GROUP BY - invoicedate;"," - -To count the number of rows for each `invoicedate` in the `latePayment` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - invoicedate, - COUNT(*) as count_per_invoicedate -FROM - latePayment -GROUP BY - invoicedate; -``` - -This query will: -1. Select the `invoicedate` column -2. Count the number of rows for each `invoicedate` -3. Group the results by `invoicedate` -4. Return the results with the count of rows for each `invoicedate`",4.5491187572,DeepSeek-R1-Distill-Llama-70B,232,1.01636168759408,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005742,"SELECT - paperlessbill, - MIN(daystosettle) AS mindaystosettle -FROM - latePayment -GROUP BY - paperlessbill;"," - -To find the minimum `daystosettle` for each `paperlessbill` in the `latePayment` table, you can use the SQL `MIN()` function combined with a `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - paperlessbill, - MIN(daystosettle) AS mindaystosettle -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return the minimum `daystosettle` value for each unique `paperlessbill` in your `latePayment` table.",4.9495255947,DeepSeek-R1-Distill-Llama-70B,233,1.00597630802793,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006138,"SELECT - paperlessbill, - MAX(daystosettle) AS max_daystosettle -FROM - latePayment -GROUP BY - paperlessbill;"," - -To find the maximum `daystosettle` for each `paperlessbill` in the `latePayment` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - paperlessbill, - MAX(daystosettle) AS max_daystosettle -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return the maximum `daystosettle` value for each unique `paperlessbill` in your `latePayment` table.",4.7825343609,DeepSeek-R1-Distill-Llama-70B,234,1.0064513619805662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006309,"SELECT - paperlessbill, - AVG(daystosettle) AS average_daystosettle -FROM - latePayment -GROUP BY - paperlessbill;"," - -To find the average of `daystosettle` for each `paperlessbill` in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT - paperlessbill, - AVG(daystosettle) AS average_daystosettle -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will: -1. Group the rows in the `latePayment` table by the `paperlessbill` column. -2. Calculate the average value of `daystosettle` for each group. -3. Return the `paperlessbill` and the corresponding average `daystosettle` for each group.",4.8668351173,DeepSeek-R1-Distill-Llama-70B,235,1.044336023906039,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006471,"SELECT - paperlessbill, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - paperlessbill;"," - -To fetch the sum of `daystosettle` for each `paperlessbill` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT - paperlessbill, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will: -1. Group the rows in the `latePayment` table by the `paperlessbill` column. -2. Calculate the sum of the `daystosettle` values for each group. -3. Return the results with the `paperlessbill` and the corresponding sum of `daystosettle`.",5.242705822,DeepSeek-R1-Distill-Llama-70B,236,1.0036887734104656,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005292,"SELECT - paperlessbill, - MIN(dayslate) AS mindayslate -FROM - latePayment -GROUP BY - paperlessbill;"," - -To find the minimum number of days late for each paperless bill in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT - paperlessbill, - MIN(dayslate) AS mindayslate -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return the minimum `dayslate` value for each unique `paperlessbill` in your `latePayment` table.",3.9977080822,DeepSeek-R1-Distill-Llama-70B,237,1.006790013046217,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006273,"SELECT - paperlessbill, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - paperlessbill;"," - -To find the maximum `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - paperlessbill, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return the maximum `dayslate` value for each unique `paperlessbill` in the `latePayment` table.",4.9999711514,DeepSeek-R1-Distill-Llama-70B,238,1.030283787315828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004842,"SELECT - paperlessbill, - AVG(dayslate) AS average_dayslate -FROM - latePayment -GROUP BY - paperlessbill;"," - -To find the average of `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the SQL `AVG()` function combined with `GROUP BY`. Here's the SQL code: - -```sql -SELECT - paperlessbill, - AVG(dayslate) AS average_dayslate -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return the average `dayslate` for each distinct `paperlessbill` in your `latePayment` table.",3.9336574078,DeepSeek-R1-Distill-Llama-70B,239,1.0119223149717744,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005724,"SELECT - paperlessbill, - SUM(dayslate) AS sum_dayslate -FROM - latePayment -GROUP BY - paperlessbill;"," - -To fetch the sum of `dayslate` for each `paperlessbill` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT - paperlessbill, - SUM(dayslate) AS sum_dayslate -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will: -1. Select the `paperlessbill` column. -2. Calculate the sum of `dayslate` for each `paperlessbill` using the `SUM()` function. -3. Group the results by the `paperlessbill` column to ensure the sum is calculated for each unique `paperlessbill`. - -The result will show the total `dayslate` for each `paperlessbill`.",4.5061461926,DeepSeek-R1-Distill-Llama-70B,240,1.020513093523461,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005481,"SELECT - customerid, - MIN(daystosettle) AS mindaystosettle -FROM - latePayment -GROUP BY - customerid;"," - -To find the minimum `daystosettle` for each `customerid` in the `latePayment` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - customerid, - MIN(daystosettle) AS mindaystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This query will return the minimum `daystosettle` value for each unique `customerid` in your `latePayment` table.",4.9704642296,DeepSeek-R1-Distill-Llama-70B,241,1.0479144590485838,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000495,"SELECT - customerid, - MAX(daystosettle) AS max_daystosettle -FROM - latePayment -GROUP BY - customerid;"," - -To find the maximum `daystosettle` for each `customerid` in the `latePayment` table, you can use the SQL `MAX` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - customerid, - MAX(daystosettle) AS max_daystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This query will return the maximum `daystosettle` value for each unique `customerid` in your `latePayment` table.",4.0474338531,DeepSeek-R1-Distill-Llama-70B,242,1.0054068538735674,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006507,"SELECT - customerid, - AVG(daystosettle) AS avg_daystosettle -FROM - latePayment -GROUP BY - customerid;"," - -To find the average of `daystosettle` for each `customerid` in the `latePayment` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - customerid, - AVG(daystosettle) AS avg_daystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This query will return the average `daystosettle` value for each unique `customerid` in your `latePayment` table.",5.6480288506,DeepSeek-R1-Distill-Llama-70B,243,0.9977091246548658,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005544,"SELECT - customerid, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - customerid;"," - -To fetch the sum of `daystosettle` for each `customerid` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT - customerid, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This query will: -1. Select the `customerid` and calculate the sum of `daystosettle` for each `customerid`. -2. Group the results by `customerid` to ensure the sum is calculated for each individual customer. -3. Return a table with two columns: `customerid` and `total_daystosettle` (the sum of `daystosettle` for each customer).",4.1059937477,DeepSeek-R1-Distill-Llama-70B,244,1.0381994502539267,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000486,"SELECT - customerid, - MIN(dayslate) AS mindayslate -FROM - latePayment -GROUP BY - customerid;"," - -To find the minimum `dayslate` for each `customerid` in the `latePayment` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - customerid, - MIN(dayslate) AS mindayslate -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will: -1. Select the `customerid` and the minimum value of `dayslate` for each `customerid`. -2. Group the results by `customerid`. -3. Return a table with two columns: `customerid` and `mindayslate` (the minimum days late for each customer).",3.4378108978,DeepSeek-R1-Distill-Llama-70B,245,1.0082224623856806,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004716,"SELECT - customerid, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - customerid;"," - -To find the maximum `dayslate` for each `customerid` in the `latePayment` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - customerid, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will: -1. Select the `customerid` and the maximum value of `dayslate` for each `customerid`. -2. Group the results by `customerid`. -3. Return a table with two columns: `customerid` and `max_dayslate` (the maximum days late for each customer).",3.6886310577,DeepSeek-R1-Distill-Llama-70B,246,1.0119353904163777,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004968,"SELECT - customerid, - AVG(dayslate) AS avg_dayslate -FROM - latePayment -GROUP BY - customerid;"," - -To find the average of `dayslate` for each `customerid` in the `latePayment` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - customerid, - AVG(dayslate) AS avg_dayslate -FROM - latePayment -GROUP BY - customerid; -``` - -This query will return the average `dayslate` for each `customerid` in your database.",3.6508319378,DeepSeek-R1-Distill-Llama-70B,247,1.0565587852995684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005238,"SELECT - customerid, - SUM(dayslate) AS total_dayslate -FROM - latePayment -GROUP BY - customerid;"," - -To fetch the sum of `dayslate` for each `customerid` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT - customerid, - SUM(dayslate) AS total_dayslate -FROM - latePayment -GROUP BY - customerid; -``` - -This query will: -1. Select the `customerid` and calculate the sum of `dayslate` for each `customerid`. -2. Group the results by `customerid` to ensure the sum is calculated for each customer individually. -3. Return a table with two columns: `customerid` and `total_dayslate` (the sum of days late for each customer).",4.1693894863,DeepSeek-R1-Distill-Llama-70B,248,0.9998907108670496,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) >= 5,Find all the paymenttype that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005184,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5;"," - -To find all `paymenttype` values in the `accountFraud` table that have at least 5 records, you can use the SQL `COUNT()` function along with the `GROUP BY` clause to group the records by `paymenttype` and filter the results using the `HAVING` clause. - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) >= 5; -```",3.9888226986,DeepSeek-R1-Distill-Llama-70B,249,1.0040199687870246,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) <= 5,Find all the paymenttype that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006066,"SELECT paymenttype, COUNT(*) AS record_count -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5;"," - -To find all the `paymenttype` values that have at most 5 records in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT paymenttype, COUNT(*) AS record_count -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(*) <= 5; -``` - -This query: -1. Groups the records in the `accountFraud` table by the `paymenttype` column. -2. Counts the number of records for each `paymenttype`. -3. Filters the results to include only those `paymenttype` values that have 5 or fewer records.",4.8388528824,DeepSeek-R1-Distill-Llama-70B,250,0.0,0.6,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) >= 5,Find all the deviceos that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007389,"SELECT deviceos, COUNT(*) as record_count -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) >= 5;"," - -To find all the `deviceos` that have at least 5 records in the `accountFraud` table, you can use the SQL `COUNT()` function along with the `GROUP BY` clause to group the records by `deviceos` and filter the results to include only those groups with at least 5 records. - -Here is the SQL code: - -```sql -SELECT deviceos, COUNT(*) as record_count -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) >= 5; -``` - -### Explanation: -1. `SELECT deviceos, COUNT(*) as record_count`: This selects the `deviceos` column and counts the number of records for each `deviceos`, aliasing the count as `record_count`. -2. `FROM accountFraud`: Specifies the table to query. -3. `GROUP BY deviceos`: Groups the records by the `deviceos` column. -4. `HAVING COUNT(*) >= 5`: Filters the groups to include only those with at least 5 records. - -This query will return a list of `deviceos` values that appear at least 5 times in the `accountFraud` table, along with the number of records for each `deviceos`.",7.1989104748,DeepSeek-R1-Distill-Llama-70B,251,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) <= 5,Find all the deviceos that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005292,"SELECT deviceos, COUNT(*) as count -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5;"," - -To find all the `deviceos` that have at most 5 records in the `accountFraud` table, you can use the SQL `COUNT()` function along with `GROUP BY` and `HAVING` clauses. Here's how you can do it: - -```sql -SELECT deviceos, COUNT(*) as count -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(*) <= 5; -``` - -This query will: -1. Group the rows in your `accountFraud` table by the `deviceos` column. -2. Count the number of records for each `deviceos`. -3. Filter the results to include only those `deviceos` that have 5 or fewer records. - -The result will show each `deviceos` and the number of records it has, but only for those with 5 or fewer records.",4.3894908428,DeepSeek-R1-Distill-Llama-70B,252,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) >= 10,Find all the emailisfree that have at least 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007371,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(emailisfree) >= 10;"," - -To find all the `emailisfree` values that have at least 10 records in the `accountFraud` table, you can use the SQL `COUNT()` function along with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(emailisfree) >= 10; -``` - -This query will: -1. Group the rows in the `accountFraud` table by the `emailisfree` column. -2. Count the number of records for each `emailisfree` value. -3. Return only those `emailisfree` values that have at least 10 records.",6.0353620052,DeepSeek-R1-Distill-Llama-70B,253,1.0199983843337659,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) <= 10,Find all the emailisfree that have at most 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006597,"SELECT ""emailisfree"" -FROM accountFraud -GROUP BY ""emailisfree"" -HAVING COUNT(*) <= 10;"," - -To find all `emailisfree` values that have at most 10 records in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT ""emailisfree"" -FROM accountFraud -GROUP BY ""emailisfree"" -HAVING COUNT(*) <= 10; -``` - -This query: -1. Groups the rows in the `accountFraud` table by the `emailisfree` column. -2. Counts the number of records for each `emailisfree` value. -3. Filters the results to include only those `emailisfree` values that have 10 or fewer records.",5.369849205,DeepSeek-R1-Distill-Llama-70B,254,0.9979149875293124,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) >= 141.44,List the hasothercards which average of creditriskscore is at least 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0009135,"SELECT hasothercards, AVG(creditriskscore) AS average_credit_risk -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44;"," - -To answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `hasothercards` value in the `accountFraud` table and then filters the results to include only those `hasothercards` values where the average `creditriskscore` is at least 141.44. - -Here is the SQL code: - -```sql -SELECT hasothercards, AVG(creditriskscore) AS average_credit_risk -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(creditriskscore) >= 141.44; -``` - -### Explanation: -1. **SELECT Clause**: We select the `hasothercards` column and calculate the average of the `creditriskscore` for each group using `AVG(creditriskscore)`. The `AS` keyword is used to alias the average column as `average_credit_risk` for better readability. - -2. **FROM Clause**: We specify the table `accountFraud` as the source of data. - -3. **GROUP BY Clause**: We group the rows by the `hasothercards` column to calculate the average `creditriskscore` for each distinct value of `hasothercards`. - -4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `creditriskscore` is at least 141.44. - -This query will return the `hasothercards` values and their corresponding average `creditriskscore` for groups where the average meets or exceeds 141.44.",7.92740798,DeepSeek-R1-Distill-Llama-70B,255,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) <= 141.44,List the hasothercards which average of creditriskscore is at most 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006993,"SELECT - hasothercards, - AVG(creditriskscore) AS average_credit_risk_score -FROM - accountFraud -GROUP BY - hasothercards -HAVING - AVG(creditriskscore) <= 141.44;"," - -To answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `hasothercards` value in the `accountFraud` table and then filters the results to include only those `hasothercards` values where the average `creditriskscore` is at most 141.44. - -Here is the SQL code: - -```sql -SELECT - hasothercards, - AVG(creditriskscore) AS average_credit_risk_score -FROM - accountFraud -GROUP BY - hasothercards -HAVING - AVG(creditriskscore) <= 141.44; -``` - -This query: -1. Groups the data by the `hasothercards` column. -2. Calculates the average `creditriskscore` for each group. -3. Filters the results to include only those groups where the average `creditriskscore` is at most 141.44.",5.4751906395,DeepSeek-R1-Distill-Llama-70B,256,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) >= 1144.5,List the hasothercards which summation of creditriskscore is at least 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0009531,"SELECT hasothercards, SUM(creditriskscore) AS total_credit_risk -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5;"," - -To answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `hasothercards` value and filter the results to include only those where the sum is at least 1144.5. - -Here is the SQL code: - -```sql -SELECT hasothercards, SUM(creditriskscore) AS total_credit_risk -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) >= 1144.5; -``` - -### Explanation: -1. **SELECT Clause**: We select the `hasothercards` column and calculate the sum of `creditriskscore` for each group, aliasing it as `total_credit_risk` for clarity. -2. **FROM Clause**: We specify the table `accountFraud` as the source of data. -3. **GROUP BY Clause**: We group the results by the `hasothercards` column to aggregate the `creditriskscore` values by each unique `hasothercards` value. -4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `creditriskscore` is at least 1144.5. - -This query will return the `hasothercards` values and their corresponding total credit risk scores, but only for those groups where the total credit risk score meets or exceeds 1144.5.",7.8824841976,DeepSeek-R1-Distill-Llama-70B,257,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) <= 1144.5,List the hasothercards which summation of creditriskscore is at most 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008973,"SELECT hasothercards, SUM(creditriskscore) AS total_credit_risk -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5;"," - -To answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `hasothercards` value and filter the results to include only those where the sum is at most 1144.5. - -Here is the SQL code: - -```sql -SELECT hasothercards, SUM(creditriskscore) AS total_credit_risk -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5; -``` - -### Explanation: -1. **SELECT Clause**: We select the `hasothercards` column and calculate the sum of `creditriskscore` for each group, aliasing it as `total_credit_risk` for clarity. -2. **FROM Clause**: We specify the table `accountFraud` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `hasothercards` column to aggregate the `creditriskscore` values for each distinct `hasothercards` value. -4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `creditriskscore` is less than or equal to 1144.5. - -This query will return the `hasothercards` values and their corresponding total credit risk scores, but only for those groups where the total credit risk score is at most 1144.5.",7.4481594563,DeepSeek-R1-Distill-Llama-70B,258,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) >= 7.85,List the hasothercards which average of sessionlengthminutes is at least 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008361,"SELECT - hasothercards, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - AVG(sessionlengthminutes) >= 7.85;"," - -To answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `hasothercards` value in the `accountFraud` table and filters the results to include only those `hasothercards` values where the average `sessionlengthminutes` is at least 7.85. - -Here is the SQL code: - -```sql -SELECT - hasothercards, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - AVG(sessionlengthminutes) >= 7.85; -``` - -### Explanation: -1. **SELECT Clause**: We select the `hasothercards` column and calculate the average of `sessionlengthminutes` for each group of `hasothercards` values. The average is aliased as `average_session_length` for clarity. -2. **FROM Clause**: We specify the table `accountFraud` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `hasothercards` column to calculate the average `sessionlengthminutes` for each distinct `hasothercards` value. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `sessionlengthminutes` is at least 7.85. - -This query will return the `hasothercards` values and their corresponding average `sessionlengthminutes` for groups where the average is 7.85 or higher.",7.1818907261,DeepSeek-R1-Distill-Llama-70B,259,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) <= 7.85,List the hasothercards which average of sessionlengthminutes is at most 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008739,"SELECT - hasothercards, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - AVG(sessionlengthminutes) <= 7.85;"," - -To answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `hasothercards` value in the `accountFraud` table and then filters the results to include only those `hasothercards` values where the average `sessionlengthminutes` is at most 7.85. - -Here is the SQL code: - -```sql -SELECT - hasothercards, - AVG(sessionlengthminutes) AS average_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - AVG(sessionlengthminutes) <= 7.85; -``` - -### Explanation: -1. **SELECT Clause**: We select the `hasothercards` column and calculate the average of `sessionlengthminutes` for each group of `hasothercards` using the `AVG()` function. We alias the average as `average_session_length` for clarity. -2. **FROM Clause**: We specify the table `accountFraud` as the source of data. -3. **GROUP BY Clause**: We group the data by the `hasothercards` column to calculate the average `sessionlengthminutes` for each distinct `hasothercards` value. -4. **HAVING Clause**: We filter the results to include only those groups where the average `sessionlengthminutes` is less than or equal to 7.85. - -This query will return the `hasothercards` values and their corresponding average `sessionlengthminutes` for those groups where the average is at most 7.85.",7.3767259121,DeepSeek-R1-Distill-Llama-70B,260,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) >= 58.5,List the hasothercards which summation of sessionlengthminutes is at least 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008172,"SELECT - hasothercards, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - SUM(sessionlengthminutes) >= 58.5;"," - -To answer the question, we need to write an SQL query that will sum the `sessionlengthminutes` for each `hasothercards` value and filter the results to include only those where the sum is at least 58.5. - -Here is the SQL code: - -```sql -SELECT - hasothercards, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - SUM(sessionlengthminutes) >= 58.5; -``` - -### Explanation: -1. **SELECT Clause**: We select the `hasothercards` column and the sum of `sessionlengthminutes`, which we alias as `total_session_length` for clarity. -2. **FROM Clause**: We specify the table `accountFraud` as the source of data. -3. **GROUP BY Clause**: We group the results by the `hasothercards` column to aggregate the `sessionlengthminutes` for each unique value of `hasothercards`. -4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `sessionlengthminutes` is at least 58.5. - -This query will return the `hasothercards` values and their corresponding total session lengths that meet the condition.",6.746835947,DeepSeek-R1-Distill-Llama-70B,261,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) <= 58.5,List the hasothercards which summation of sessionlengthminutes is at most 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00072,"SELECT - hasothercards, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - SUM(sessionlengthminutes) <= 58.5;"," - -To answer the question, we need to sum the `sessionlengthminutes` for each `hasothercards` value in the `accountFraud` table and then filter the results to include only those `hasothercards` where the sum is at most 58.5. - -Here is the SQL code to achieve this: - -```sql -SELECT - hasothercards, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - hasothercards -HAVING - SUM(sessionlengthminutes) <= 58.5; -``` - -This SQL query: -1. Selects the `hasothercards` column and calculates the sum of `sessionlengthminutes` for each `hasothercards` value. -2. Groups the results by the `hasothercards` column. -3. Filters the results to include only those groups where the sum of `sessionlengthminutes` is at most 58.5.",5.8999481201,DeepSeek-R1-Distill-Llama-70B,262,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) >= 109.56,List the paymenttype which average of creditriskscore is at least 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0009207,"SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56;"," - -To answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `creditriskscore` is at least 109.56. - -Here is the SQL code: - -```sql -SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) >= 109.56; -``` - -### Explanation: -1. **`SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk`**: - - This selects the `paymenttype` and calculates the average `creditriskscore` for each `paymenttype`. The `AVG` function is used to compute the average, and `AS avg_credit_risk` renames the calculated column for clarity. - -2. **`FROM accountFraud`**: - - This specifies the table from which to retrieve the data, which is `accountFraud`. - -3. **`GROUP BY paymenttype`**: - - This groups the rows by the `paymenttype` column, allowing us to calculate the average `creditriskscore` for each distinct `paymenttype`. - -4. **`HAVING AVG(creditriskscore) >= 109.56`**: - - This filters the results to include only those groups where the average `creditriskscore` is at least 109.56. - -When you execute this query, it will return a list of `paymenttype`s along with their corresponding average `creditriskscore`, but only for those `paymenttype`s where the average `creditriskscore` is 109.56 or higher.",7.9104990959,DeepSeek-R1-Distill-Llama-70B,263,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) <= 109.56,List the paymenttype which average of creditriskscore is at most 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007758,"SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56;"," - -To answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `creditriskscore` is at most 109.56. - -Here is the SQL code: - -```sql -SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56; -``` - -### Explanation: -1. **SELECT Clause**: We select the `paymenttype` and calculate the average `creditriskscore` for each `paymenttype` using the `AVG()` function. The result is aliased as `avg_credit_risk` for clarity. -2. **FROM Clause**: We specify the table `accountFraud` as the source of data. -3. **GROUP BY Clause**: We group the data by `paymenttype` to calculate the average `creditriskscore` for each distinct `paymenttype`. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `creditriskscore` is less than or equal to 109.56. - -This query will return the `paymenttype`s along with their corresponding average `creditriskscore` values, but only for those `paymenttype`s where the average `creditriskscore` is at most 109.56.",7.190059185,DeepSeek-R1-Distill-Llama-70B,264,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) >= 572.25,List the paymenttype which summation of creditriskscore is at least 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008217,"SELECT paymenttype, SUM(creditriskscore) AS total -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25;"," - -To answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filter the results to include only those `paymenttype`s where the sum of `creditriskscore` is at least 572.25. - -Here is the SQL code: - -```sql -SELECT paymenttype, SUM(creditriskscore) AS total -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25; -``` - -### Explanation: -1. **`SELECT paymenttype, SUM(creditriskscore) AS total`**: This selects the `paymenttype` and calculates the sum of `creditriskscore` for each `paymenttype`. The `AS total` renames the summed column to ""total"" for clarity. -2. **`FROM accountFraud`**: This specifies the table from which to retrieve the data. -3. **`GROUP BY paymenttype`**: This groups the rows by the `paymenttype` column, allowing us to aggregate the `creditriskscore` for each `paymenttype`. -4. **`HAVING SUM(creditriskscore) >= 572.25`**: This filters the grouped results to include only those groups where the sum of `creditriskscore` is at least 572.25. - -This query will return the `paymenttype` and the corresponding sum of `creditriskscore` for each `paymenttype` that meets the condition.",6.3803172112,DeepSeek-R1-Distill-Llama-70B,265,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) <= 572.25,List the paymenttype which summation of creditriskscore is at most 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007956,"SELECT paymenttype, SUM(creditriskscore) AS total_credit_risk -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25;"," - -To answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filter the results to include only those `paymenttype`s where the sum of `creditriskscore` is at most 572.25. - -Here is the SQL code: - -```sql -SELECT paymenttype, SUM(creditriskscore) AS total_credit_risk -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25; -``` - -### Explanation: -1. **SELECT paymenttype, SUM(creditriskscore) AS total_credit_risk**: - - This selects the `paymenttype` and calculates the sum of `creditriskscore` for each `paymenttype`. The `AS` keyword is used to alias the summed column as `total_credit_risk` for better readability. - -2. **FROM accountFraud**: - - This specifies the table from which to retrieve the data, which is `accountFraud`. - -3. **GROUP BY paymenttype**: - - This groups the rows by the `paymenttype` column, allowing us to aggregate the `creditriskscore` values for each unique `paymenttype`. - -4. **HAVING SUM(creditriskscore) <= 572.25**: - - This filters the grouped results to include only those groups where the sum of `creditriskscore` is less than or equal to 572.25. - -This query will return a list of `paymenttype`s along with their corresponding total `creditriskscore`, but only for those `paymenttype`s where the total `creditriskscore` is at most 572.25.",6.6747264862,DeepSeek-R1-Distill-Llama-70B,266,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) >= 5.45,List the paymenttype which average of sessionlengthminutes is at least 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008181,"SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45;"," - -To answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `sessionlengthminutes` is at least 5.45. - -Here is the SQL code: - -```sql -SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) >= 5.45; -``` - -### Explanation: -1. **`SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length`**: - - This selects the `paymenttype` and calculates the average of `sessionlengthminutes` for each `paymenttype`. The `AS avg_session_length` renames the average column for clarity. - -2. **`FROM accountFraud`**: - - This specifies the table from which to retrieve the data. - -3. **`GROUP BY paymenttype`**: - - This groups the data by `paymenttype`, allowing us to calculate the average `sessionlengthminutes` for each `paymenttype`. - -4. **`HAVING AVG(sessionlengthminutes) >= 5.45`**: - - This filters the results to include only those `paymenttype`s where the average `sessionlengthminutes` is at least 5.45. - -This query will return a list of `paymenttype`s along with their corresponding average `sessionlengthminutes`, but only for those `paymenttype`s where the average is 5.45 or higher.",6.4747607708,DeepSeek-R1-Distill-Llama-70B,267,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) <= 5.45,List the paymenttype which average of sessionlengthminutes is at most 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008073,"SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45;"," - -To answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `sessionlengthminutes` is at most 5.45. - -Here is the SQL code: - -```sql -SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING AVG(sessionlengthminutes) <= 5.45; -``` - -### Explanation: -1. **`SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length`**: - - This selects the `paymenttype` and calculates the average of `sessionlengthminutes` for each `paymenttype`. The `AS avg_session_length` renames the average column for clarity. - -2. **`FROM accountFraud`**: - - This specifies the table from which to retrieve the data. - -3. **`GROUP BY paymenttype`**: - - This groups the data by `paymenttype`, allowing us to calculate the average `sessionlengthminutes` for each distinct `paymenttype`. - -4. **`HAVING AVG(sessionlengthminutes) <= 5.45`**: - - This filters the results to include only those groups where the average `sessionlengthminutes` is at most 5.45. - -This query will return a list of `paymenttype`s along with their corresponding average `sessionlengthminutes`, but only for those `paymenttype`s where the average is 5.45 or less.",6.7418751717,DeepSeek-R1-Distill-Llama-70B,268,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) >= 29.25,List the paymenttype which summation of sessionlengthminutes is at least 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000567,"SELECT paymenttype, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25;"," - -To fetch the payment types where the sum of `sessionlengthminutes` is at least 29.25, you can use the following SQL query: - -```sql -SELECT paymenttype, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25; -``` - -This query: -1. Selects the `paymenttype` and calculates the sum of `sessionlengthminutes` for each payment type. -2. Groups the results by `paymenttype`. -3. Filters the results to include only those payment types where the total session length is at least 29.25 minutes.",4.555814743,DeepSeek-R1-Distill-Llama-70B,269,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) <= 29.25,List the paymenttype which summation of sessionlengthminutes is at most 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006183,"SELECT paymenttype, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25;"," - -To fetch the payment types where the sum of `sessionlengthminutes` is at most 29.25, you can use the following SQL query: - -```sql -SELECT paymenttype, SUM(sessionlengthminutes) AS total_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25; -``` - -This query: -1. Selects the `paymenttype` and calculates the sum of `sessionlengthminutes` for each payment type. -2. Groups the results by `paymenttype`. -3. Filters the results to include only those groups where the sum of `sessionlengthminutes` is less than or equal to 29.25.",4.4204778671,DeepSeek-R1-Distill-Llama-70B,270,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) >= 1,Find all the customerid that have at least 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004662,"SELECT DISTINCT customerid -FROM latePayment;"," - -To find all unique `customerid`s that have at least one record in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT customerid -FROM latePayment; -``` - -This query will return all unique `customerid`s that exist in the `latePayment` table.",3.7781674862,DeepSeek-R1-Distill-Llama-70B,271,1.004330106630305,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) <= 1,Find all the customerid that have at most 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005679,"SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(customerid) <= 1;"," - -To find all customer IDs that have at most 1 record in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(customerid) <= 1; -``` - -This query: -1. Selects the `customerid` from the `latePayment` table. -2. Groups the results by `customerid`. -3. Filters the groups to include only those with 1 or fewer records using the `HAVING COUNT(customerid) <= 1` condition.",4.589015007,DeepSeek-R1-Distill-Llama-70B,272,1.0051267141317883,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) >= 10,Find all the disputed that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007263,"SELECT disputed, COUNT(disputed) AS record_count -FROM latePayment -GROUP BY disputed -HAVING COUNT(disputed) >= 10;"," - -To find all the disputed values in the `latePayment` table that have at least 10 records, you can use the following SQL query: - -```sql -SELECT disputed, COUNT(disputed) AS record_count -FROM latePayment -GROUP BY disputed -HAVING COUNT(disputed) >= 10; -``` - -This query will: -1. Group the records in the `latePayment` table by the `disputed` column. -2. Count the number of records for each `disputed` value. -3. Return only those `disputed` values that have 10 or more records.",5.9789421558,DeepSeek-R1-Distill-Llama-70B,273,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) <= 10,Find all the disputed that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006111,"SELECT disputed, COUNT(*) as count -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10;"," - -To find all the disputed statuses that have at most 10 records in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT disputed, COUNT(*) as count -FROM latePayment -GROUP BY disputed -HAVING COUNT(*) <= 10; -``` - -This query will: -1. Group the records in the `latePayment` table by the `disputed` column. -2. Count the number of records for each disputed status. -3. Filter the results to include only those disputed statuses that have 10 or fewer records.",4.6655318737,DeepSeek-R1-Distill-Llama-70B,274,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) >= 10,Find all the paperlessbill that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006039,"SELECT DISTINCT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10;"," - -To find all the `paperlessbill` values that have at least 10 records in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) >= 10; -``` - -This query will: -1. Group the records in the `latePayment` table by the `paperlessbill` column. -2. Count the number of records for each `paperlessbill`. -3. Return only those `paperlessbill` values that have 10 or more records.",5.6310014725,DeepSeek-R1-Distill-Llama-70B,275,1.0248466556864888,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) <= 10,Find all the paperlessbill that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006354,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10;"," - -To find all `paperlessbill` entries in the `latePayment` table that have at most 10 records, you can use the following SQL query: - -```sql -SELECT DISTINCT paperlessbill -FROM latePayment -WHERE paperlessbill IN ( - SELECT paperlessbill - FROM latePayment - GROUP BY paperlessbill - HAVING COUNT(*) <= 10 -); -``` - -This query works as follows: -1. The subquery groups the `latePayment` table by `paperlessbill` and filters those groups that have 10 or fewer records. -2. The outer query selects the distinct `paperlessbill` values from the filtered groups. - -You can also use a more concise version with `GROUP BY` and `HAVING` directly: - -```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(*) <= 10; -``` - -This will return all `paperlessbill` values that appear in 10 or fewer records in the `latePayment` table.",5.6341934204,DeepSeek-R1-Distill-Llama-70B,276,1.0077805124045303,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) >= 2.95,List the invoicedate which average of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007074,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95;"," - -To answer the question, we need to fetch the `invoicedate` from the `latePayment` table where the average of `dayslate` is at least 2.95. Here's the SQL code to achieve this: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95; -``` - -This query: -1. Groups the data by `invoicedate`. -2. Calculates the average `dayslate` for each group using the `AVG()` function. -3. Filters the results to include only those groups where the average `dayslate` is at least 2.95 using the `HAVING` clause.",6.4007518291,DeepSeek-R1-Distill-Llama-70B,277,1.0175369693144427,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) <= 2.95,List the invoicedate which average of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008388,"SELECT invoicedate, AVG(dayslate) AS average_dayslate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95;"," - -To answer the question, we need to write an SQL query that calculates the average `dayslate` for each `invoicedate` in the `latePayment` table and then filters the results to include only those `invoicedate` where the average `dayslate` is at most 2.95. - -Here is the SQL code: - -```sql -SELECT invoicedate, AVG(dayslate) AS average_dayslate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95; -``` - -### Explanation: -1. **`SELECT invoicedate, AVG(dayslate) AS average_dayslate`**: - - This selects the `invoicedate` and calculates the average of `dayslate` for each `invoicedate`. The `AS` keyword renames the average column to `average_dayslate` for clarity. - -2. **`FROM latePayment`**: - - This specifies the table from which to retrieve the data, which is `latePayment`. - -3. **`GROUP BY invoicedate`**: - - This groups the rows by the `invoicedate` column, allowing us to calculate the average `dayslate` for each specific date. - -4. **`HAVING AVG(dayslate) <= 2.95`**: - - This filters the results to include only those groups (i.e., `invoicedate` values) where the average `dayslate` is less than or equal to 2.95. - -This query will return a list of `invoicedate` values along with their corresponding average `dayslate` values, but only for those dates where the average `dayslate` is at most 2.95.",7.7709350586,DeepSeek-R1-Distill-Llama-70B,278,0.0,0.895,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) >= 2.95,List the invoicedate which summation of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007713,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95;"," - -To fetch the `invoicedate` where the summation of `dayslate` is at least 2.95, you can use the following SQL query: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95; -``` - -This query: -1. Groups the rows in the `latePayment` table by the `invoicedate`. -2. Calculates the sum of `dayslate` for each group. -3. Filters the results to include only those groups where the sum of `dayslate` is at least 2.95.",6.7684743404,DeepSeek-R1-Distill-Llama-70B,279,0.9991910870314368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) <= 2.95,List the invoicedate which summation of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006237,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95;"," - -To translate the question into SQL code, we need to fetch the `invoicedate` from the `latePayment` table where the sum of `dayslate` is at most 2.95. - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) <= 2.95; -```",5.6064691544,DeepSeek-R1-Distill-Llama-70B,280,1.040776756268283,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) >= 4902805164.55,List the invoicedate which average of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0016389,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55;"," - -To answer the question of listing the `invoicedate` where the average of `invoicenumber` is at least 4902805164.55 in the `latePayment` table, we need to use SQL's `AVG()` function along with the `HAVING` clause to filter the results based on the average value. - -Here is the SQL code to achieve this: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55; -``` - -### Explanation: -1. **`SELECT invoicedate`**: This selects the `invoicedate` column that we want to retrieve. -2. **`FROM latePayment`**: This specifies the table from which to retrieve the data. -3. **`GROUP BY invoicedate`**: This groups the rows by the `invoicedate` column, allowing us to calculate the average `invoicenumber` for each unique `invoicedate`. -4. **`HAVING AVG(invoicenumber) >= 4902805164.55`**: This filters the grouped results to only include those `invoicedate` values where the average `invoicenumber` is at least 4902805164.55. - -This query will return all `invoicedate` values where the average `invoicenumber` for that date meets or exceeds the specified threshold.",16.5420854092,DeepSeek-R1-Distill-Llama-70B,281,1.0137915074223667,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) <= 4902805164.55,List the invoicedate which average of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006516,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55;"," - -To answer the question, we need to fetch the `invoicedate` from the `latePayment` table where the average of `invoicenumber` is at most 4902805164.55. - -Here is the SQL code to achieve this: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55; -``` - -This SQL query: -1. Groups the data by `invoicedate`. -2. Calculates the average of `invoicenumber` for each group. -3. Filters the results to include only those groups where the average `invoicenumber` is at most 4902805164.55.",5.2663168907,DeepSeek-R1-Distill-Llama-70B,282,1.0084713208145242,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) >= 4902805164.55,List the invoicedate which summation of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007668,"SELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55;"," - -To answer the question, we need to write an SQL query that will sum the `invoicenumber` values and filter the results to include only those rows where the sum is at least `4902805164.55`. Here's the SQL code: - -```sql -SELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55; -``` - -### Explanation: -1. **SELECT Clause**: We select the `invoicedate` and the sum of `invoicenumber` (aliased as `total_invoicenumber` for clarity). -2. **FROM Clause**: We specify the table `latePayment` as the source of data. -3. **GROUP BY Clause**: We group the results by `invoicedate` to aggregate the `invoicenumber` values for each date. -4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `invoicenumber` is at least `4902805164.55`. - -This query will return the `invoicedate` and the corresponding sum of `invoicenumber` for dates where the total meets or exceeds the specified threshold.",7.488019228,DeepSeek-R1-Distill-Llama-70B,283,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) <= 4902805164.55,List the invoicedate which summation of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000864,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) <= 4902805164.55;"," - -To answer the question, we need to fetch the `invoicedate` from the `latePayment` table where the sum of `invoicenumber` is at most 4902805164.55. Here's the SQL code to achieve this: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) <= 4902805164.55; -``` - -This SQL query will: -1. Group the rows in the `latePayment` table by the `invoicedate`. -2. Calculate the sum of `invoicenumber` for each group. -3. Filter the results to include only those groups where the sum of `invoicenumber` is less than or equal to 4902805164.55. -4. Return the `invoicedate` for the filtered groups.",7.3907516003,DeepSeek-R1-Distill-Llama-70B,284,1.0012258639497555,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) >= 1.43,List the paperlessdate which average of dayslate is at least 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007875,"SELECT paperlessdate, AVG(dayslate) as avg_dayslate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43;"," - -To answer the question, we need to write an SQL query that calculates the average `dayslate` for each `paperlessdate` in the `latePayment` table and then filters the results to include only those `paperlessdate` values where the average `dayslate` is at least 1.43. - -Here is the SQL code: - -```sql -SELECT paperlessdate, AVG(dayslate) as avg_dayslate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(dayslate) >= 1.43; -``` - -### Explanation: -1. **SELECT Clause**: We select the `paperlessdate` column and calculate the average of the `dayslate` column using the `AVG()` function. We alias the average column as `avg_dayslate` for clarity. -2. **FROM Clause**: We specify the table to query, which is `latePayment`. -3. **GROUP BY Clause**: We group the results by the `paperlessdate` column to calculate the average `dayslate` for each date. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `dayslate` is at least 1.43. - -This query will return the `paperlessdate` values along with their corresponding average `dayslate` values, but only for those dates where the average `dayslate` meets or exceeds 1.43.",6.7689380646,DeepSeek-R1-Distill-Llama-70B,285,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) <= 1.43,List the paperlessdate which average of dayslate is at most 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007308,"SELECT - paperlessdate, - AVG(dayslate) AS avg_dayslate -FROM - latePayment -GROUP BY - paperlessdate -HAVING - AVG(dayslate) <= 1.43;"," - -To answer the question, we need to write an SQL query that calculates the average `dayslate` for each `paperlessdate` in the `latePayment` table and then filters the results to include only those `paperlessdate` where the average `dayslate` is at most 1.43. - -Here is the SQL code: - -```sql -SELECT - paperlessdate, - AVG(dayslate) AS avg_dayslate -FROM - latePayment -GROUP BY - paperlessdate -HAVING - AVG(dayslate) <= 1.43; -``` - -### Explanation: -1. **SELECT Clause**: We select the `paperlessdate` column and calculate the average of `dayslate` for each `paperlessdate` using `AVG(dayslate)`. We alias the average as `avg_dayslate` for clarity. -2. **FROM Clause**: We specify the table `latePayment` as the source of data. -3. **GROUP BY Clause**: We group the results by the `paperlessdate` column to calculate the average `dayslate` for each date. -4. **HAVING Clause**: We filter the grouped results to include only those `paperlessdate` where the average `dayslate` is less than or equal to 1.43. - -This query will return the `paperlessdate` and the corresponding average `dayslate` for dates where the average `dayslate` is at most 1.43.",6.05012393,DeepSeek-R1-Distill-Llama-70B,286,0.0,0.882,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) >= 3.47,List the paperlessdate which summation of dayslate is at least 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0009351,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47;"," - -To answer the question, we need to fetch the `paperlessdate` from the `latePayment` table where the sum of `dayslate` is at least 3.47. Here is the SQL code to achieve this: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47; -``` - -This query will: -1. Group the rows in the `latePayment` table by the `paperlessdate`. -2. Calculate the sum of `dayslate` for each group. -3. Return only those `paperlessdate` values where the sum of `dayslate` is at least 3.47.",8.3443038464,DeepSeek-R1-Distill-Llama-70B,287,1.0629224628802365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) <= 3.47,List the paperlessdate which summation of dayslate is at most 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007821,"SELECT paperlessdate, SUM(dayslate) AS total_dayslate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47;"," - -To answer the question, we need to write an SQL query that will sum the `dayslate` values for each `paperlessdate` and filter the results to include only those `paperlessdate` values where the sum of `dayslate` is at most 3.47. - -Here is the SQL code: - -```sql -SELECT paperlessdate, SUM(dayslate) AS total_dayslate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47; -``` - -### Explanation: -1. **SELECT Clause**: We select the `paperlessdate` column and calculate the sum of `dayslate` values for each `paperlessdate` using the `SUM()` function. The result is aliased as `total_dayslate` for clarity. -2. **FROM Clause**: We specify the table `latePayment` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `paperlessdate` column to aggregate the `dayslate` values for each date. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the sum of `dayslate` is less than or equal to 3.47. - -This query will return the `paperlessdate` values along with their corresponding total `dayslate` values, but only for those dates where the total `dayslate` is at most 3.47.",6.4564805031,DeepSeek-R1-Distill-Llama-70B,288,0.0,0.882,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) >= 4611214877.81,List the paperlessdate which average of invoicenumber is at least 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007515,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81;"," - -To answer the question, we need to fetch the `paperlessdate` from the `latePayment` table where the average of `invoicenumber` is at least 4611214877.81. Here's the SQL code to achieve this: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81; -``` - -This SQL query: -1. Selects the `paperlessdate` column -2. Groups the results by `paperlessdate` -3. Filters the results to include only those groups where the average `invoicenumber` is at least 4611214877.81",6.3751161098,DeepSeek-R1-Distill-Llama-70B,289,1.1016662677518088,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) <= 4611214877.81,List the paperlessdate which average of invoicenumber is at most 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0010305,"SELECT - paperlessdate, - AVG(invoicenumber) AS avg_invoice -FROM - latePayment -GROUP BY - paperlessdate -HAVING - AVG(invoicenumber) <= 4611214877.81;"," - -To answer the question, we need to fetch the `paperlessdate` from the `latePayment` table where the average of `invoicenumber` is at most 4611214877.81. Here's the SQL code to achieve this: - -```sql -SELECT - paperlessdate, - AVG(invoicenumber) AS avg_invoice -FROM - latePayment -GROUP BY - paperlessdate -HAVING - AVG(invoicenumber) <= 4611214877.81; -``` - -This SQL query: -1. Groups the data by `paperlessdate`. -2. Calculates the average of `invoicenumber` for each group. -3. Filters the results to include only those groups where the average `invoicenumber` is at most 4611214877.81. -4. Returns the `paperlessdate` and the corresponding average `invoicenumber` for the filtered groups.",10.5479636192,DeepSeek-R1-Distill-Llama-70B,290,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) >= 5768006075.94,List the paperlessdate which summation of invoicenumber is at least 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006705,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94;"," - -To answer the question, we need to sum the `invoicenumber` values in the `latePayment` table and filter the results to include only those rows where the sum of `invoicenumber` is at least 5,768,006,075.94. Here's the SQL code to achieve this: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94; -``` - -This SQL query: -1. Selects the `paperlessdate` column. -2. Groups the rows by the `paperlessdate` column. -3. Filters the grouped results to include only those where the sum of `invoicenumber` is at least 5,768,006,075.94.",5.8712189198,DeepSeek-R1-Distill-Llama-70B,291,1.0334673424708016,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) <= 5768006075.94,List the paperlessdate which summation of invoicenumber is at most 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007362,"SELECT paperlessdate, SUM(invoicenumber) AS total_invoicenumber -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94;"," - -To answer the question, we need to write an SQL query that will sum the `invoicenumber` values and filter the results to include only those rows where the summation of `invoicenumber` is at most 5,768,006,075.94. Here's the SQL code: - -```sql -SELECT paperlessdate, SUM(invoicenumber) AS total_invoicenumber -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoicenumber) <= 5768006075.94; -``` - -### Explanation: -1. **SELECT Clause**: We select the `paperlessdate` column and calculate the sum of `invoicenumber` values, aliasing the sum as `total_invoicenumber` for clarity. -2. **FROM Clause**: We specify the table `latePayment` as the source of data. -3. **GROUP BY Clause**: We group the results by the `paperlessdate` column to aggregate the `invoicenumber` values for each date. -4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `invoicenumber` is less than or equal to 5,768,006,075.94. - -This query will return the `paperlessdate` and the corresponding sum of `invoicenumber` for each date where the sum meets the specified condition.",6.2376983166,DeepSeek-R1-Distill-Llama-70B,292,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `housingstatus`) = (SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`),What are the hasothercards with all the housingstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008415,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud);"," - -To answer the question ""What are the hasothercards with all the housingstatus in table accountFraud?"", we need to fetch all `hasothercards` values that are associated with every possible `housingstatus` in the table. - -Here is the SQL code to achieve this: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud); -``` - -### Explanation: -1. **GROUP BY**: Groups the rows by the `hasothercards` column. -2. **COUNT(DISTINCT housingstatus)**: Counts the number of distinct `housingstatus` values for each `hasothercards`. -3. **HAVING**: Filters the groups to only include those where the count of distinct `housingstatus` matches the total number of distinct `housingstatus` in the entire table. -4. **Subquery (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud)**: Calculates the total number of distinct `housingstatus` values in the table. - -This query will return all `hasothercards` values that are associated with every possible `housingstatus` in the `accountFraud` table.",7.0927882195,DeepSeek-R1-Distill-Llama-70B,293,1.0026434961292399,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the hasothercards with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008802,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT paymenttype) = (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud);"," - -To answer the question ""What are the hasothercards with all the paymenttype in table accountFraud?"", we need to fetch all `hasothercards` values that are associated with every distinct `paymenttype` present in the `accountFraud` table. - -Here is the SQL code to achieve this: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT paymenttype) = (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud); -``` - -### Explanation: -1. **GROUP BY**: Groups the rows by the `hasothercards` column. -2. **COUNT(DISTINCT paymenttype)**: Counts the number of distinct `paymenttype` values for each `hasothercards`. -3. **HAVING**: Filters the groups to include only those `hasothercards` values that have all the distinct `paymenttype` values present in the table. -4. **Subquery (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud)**: Determines the total number of distinct `paymenttype` values in the `accountFraud` table. - -This query will return the `hasothercards` values that are associated with all the distinct `paymenttype` values in the table.",8.2356495857,DeepSeek-R1-Distill-Llama-70B,294,1.0571873475358284,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `employmentstatus`) = (SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`),What are the hasothercards with all the employmentstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008478,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT employmentstatus) = (SELECT COUNT(DISTINCT employmentstatus) FROM accountFraud);"," - -To answer the question ""What are the hasothercards with all the employmentstatus in table accountFraud?"", we need to fetch all `hasothercards` values that are associated with every possible `employmentstatus` in the `accountFraud` table. - -Here is the SQL code to achieve this: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT employmentstatus) = (SELECT COUNT(DISTINCT employmentstatus) FROM accountFraud); -``` - -### Explanation: -1. **GROUP BY**: Groups the rows by the `hasothercards` column. -2. **COUNT(DISTINCT employmentstatus)**: Counts the number of distinct `employmentstatus` values for each `hasothercards`. -3. **HAVING**: Filters the groups to include only those `hasothercards` values that have all possible `employmentstatus` values (i.e., the count of distinct `employmentstatus` for the group matches the total count of distinct `employmentstatus` in the entire table). - -This query will return the `hasothercards` values that are associated with every distinct `employmentstatus` in the `accountFraud` table.",7.3922181129,DeepSeek-R1-Distill-Llama-70B,295,1.0020512057753104,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `deviceos`) = (SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`),What are the hasothercards with all the deviceos in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005382,"SELECT DISTINCT hasothercards, deviceos FROM accountFraud;"," - -To fetch the unique combinations of `hasothercards` and `deviceos` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT hasothercards, deviceos FROM accountFraud; -``` - -This query will return all unique pairs of `hasothercards` and `deviceos` values present in the `accountFraud` table.",3.8484165668,DeepSeek-R1-Distill-Llama-70B,296,0.0,0.167,1.0,0.0,0.167,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the hasothercards with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006849,"SELECT DISTINCT hasothercards -FROM accountFraud -WHERE emailisfree = 'true';"," - -To fetch the `hasothercards` values where `emailisfree` is true in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT hasothercards -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This query will return all unique `hasothercards` values from the `accountFraud` table where the `emailisfree` column is set to 'true'.",5.324368,DeepSeek-R1-Distill-Llama-70B,297,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the housingstatus with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004707,"SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud;"," - -To fetch the `housingstatus` along with all the `paymenttype` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT housingstatus, paymenttype -FROM accountFraud; -``` - -This query will return all unique combinations of `housingstatus` and `paymenttype` present in the `accountFraud` table.",3.2169289589,DeepSeek-R1-Distill-Llama-70B,298,0.0,0.222,1.0,0.0,0.154,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the housingstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008316,SELECT housingstatus FROM accountFraud WHERE emailisfree = 'Yes';," - -To answer the question ""What are the housingstatus with all the emailisfree in table accountFraud?"", we need to fetch the `housingstatus` values from the `accountFraud` table where the `emailisfree` condition is met. - -Here is the SQL code to achieve this: - -```sql -SELECT housingstatus FROM accountFraud WHERE emailisfree = 'Yes'; -``` - -This SQL query will return all the `housingstatus` values from the `accountFraud` table where the `emailisfree` column is set to 'Yes'.",7.3503553867,DeepSeek-R1-Distill-Llama-70B,299,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the paymenttype with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.00063,"SELECT paymenttype -FROM accountFraud -WHERE emailisfree = 'true';"," - -To fetch the `paymenttype` where `emailisfree` is true in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This query will return all the `paymenttype` values from the `accountFraud` table where the `emailisfree` column is set to 'true'.",4.8416585922,DeepSeek-R1-Distill-Llama-70B,300,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `employmentstatus` FROM `accountFraud` GROUP BY `employmentstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the employmentstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0008937,"SELECT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true';"," - -To fetch the `employmentstatus` where all `emailisfree` values are associated with it in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This query will return all `employmentstatus` values from the `accountFraud` table where the `emailisfree` column is set to `'true'`.",8.5424087048,DeepSeek-R1-Distill-Llama-70B,301,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the deviceos with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0012285,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(CASE WHEN emailisfree != 'true' THEN 1 ELSE NULL END) = 0;"," - -To fetch the deviceos where all emailisfree entries are 'true', we can use a SQL query that groups the results by deviceos and ensures that every entry meets the condition. Here's the step-by-step solution: - -1. **Group the Results**: Group the rows of the accountFraud table by the deviceos column. -2. **Apply the Condition**: Use the HAVING clause to filter groups where every emailisfree value is 'true'. This is done by counting the number of rows where emailisfree is not 'true' and ensuring this count is zero. - -Here is the SQL code: - -```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(CASE WHEN emailisfree != 'true' THEN 1 ELSE NULL END) = 0; -``` - -This query will return all deviceos where every corresponding emailisfree entry is 'true'.",13.4128203392,DeepSeek-R1-Distill-Llama-70B,302,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the customerid with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0013716,"SELECT customerid -FROM latePayment -WHERE disputed = 'True' -AND customerid NOT IN ( - SELECT customerid - FROM latePayment - WHERE disputed != 'True' -);"," - -To fetch the `customerid` with all the disputed payments in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid -FROM latePayment -WHERE disputed = 'True' -AND customerid NOT IN ( - SELECT customerid - FROM latePayment - WHERE disputed != 'True' -); -``` - -This query will return the `customerid` values where all associated payments in the `latePayment` table are marked as disputed.",14.8528096676,DeepSeek-R1-Distill-Llama-70B,303,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the customerid with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000756,"SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING SUM(CASE WHEN paperlessbill = 'Yes' THEN 1 ELSE 0 END) = COUNT(*);"," - -To find all customer IDs where every record in the latePayment table has paperlessbill set to 'Yes', we can use the following SQL query: - -```sql -SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING SUM(CASE WHEN paperlessbill = 'Yes' THEN 1 ELSE 0 END) = COUNT(*); -``` - -This query groups the records by customerid and checks if the number of 'Yes' entries equals the total number of records for each customer, ensuring all their paperlessbill values are 'Yes'.",6.7944116592,DeepSeek-R1-Distill-Llama-70B,304,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the paperlessdate with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0011169,"SELECT DISTINCT paperlessdate -FROM latePayment -WHERE disputed = 'true';"," - -To fetch the `paperlessdate` with all the disputed entries in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT DISTINCT paperlessdate -FROM latePayment -WHERE disputed = 'true'; -``` - -This query will return all unique `paperlessdate` values where the `disputed` column is set to 'true'.",12.9276070595,DeepSeek-R1-Distill-Llama-70B,305,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the paperlessdate with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006255,"SELECT paperlessdate, paperlessbill FROM latePayment;"," - -To fetch the `paperlessdate` and `paperlessbill` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate, paperlessbill FROM latePayment; -``` - -This query will return all rows from the `latePayment` table with the `paperlessdate` and `paperlessbill` columns.",5.4360086918,DeepSeek-R1-Distill-Llama-70B,306,0.0,0.053,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the disputed with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000504,"SELECT disputed -FROM latePayment -WHERE paperlessbill = 'true';"," - -To fetch the disputed records where `paperlessbill` is set to `true` in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT disputed -FROM latePayment -WHERE paperlessbill = 'true'; -``` - -This query selects the `disputed` column from the `latePayment` table where the `paperlessbill` column is set to `'true'`.",3.9880285263,DeepSeek-R1-Distill-Llama-70B,307,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` ASC,Show all data ordered by deviceos in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005454,"SELECT * -FROM accountFraud -ORDER BY deviceos ASC;"," - -To fetch all data from the `accountFraud` table ordered by the `deviceos` column in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -ORDER BY deviceos ASC; -```",4.07396698,DeepSeek-R1-Distill-Llama-70B,308,0.9981698226267198,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` DESC,Show all data ordered by deviceos in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004356,"SELECT * FROM ""accountFraud"" ORDER BY ""deviceos"" DESC;"," - -To fetch all data from the `accountFraud` table ordered by the `deviceos` column in descending order, you can use the following SQL query: - -```sql -SELECT * FROM ""accountFraud"" ORDER BY ""deviceos"" DESC; -```",2.6754243374,DeepSeek-R1-Distill-Llama-70B,309,1.0385059207893406,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` ASC,Show all data ordered by dateofbirthdistinctemails4w in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005796,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC;"," - -To fetch all data from the `accountFraud` table ordered by the `dateofbirthdistinctemails4w` column in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC; -``` - -This query will: -1. Select all columns (`*`) from the `accountFraud` table. -2. Order the results by the `dateofbirthdistinctemails4w` column in ascending order (`ASC`).",4.2291965485,DeepSeek-R1-Distill-Llama-70B,310,0.9942503235949337,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` DESC,Show all data ordered by dateofbirthdistinctemails4w in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005436,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC;"," - -To fetch all data from the `accountFraud` table ordered by the `dateofbirthdistinctemails4w` column in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC; -```",4.0253911018,DeepSeek-R1-Distill-Llama-70B,311,1.0230566367357399,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` ASC,Project the creditriskscore ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004563,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC;"," - -To project the `creditriskscore` column from the `accountFraud` table in ascending order, you can use the following SQL query: - -```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC; -```",3.3530282974,DeepSeek-R1-Distill-Llama-70B,312,1.008135519591279,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` DESC,Project the creditriskscore ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004392,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC;"," - -To project the `creditriskscore` from the `accountFraud` table in descending order, you can use the following SQL query: - -```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC; -```",3.1510994434,DeepSeek-R1-Distill-Llama-70B,313,1.0198883007179642,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` ASC,Project the sessionlengthminutes ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005004,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC;"," - -To project the `sessionlengthminutes` column from the `accountFraud` table in ascending order, you can use the following SQL query: - -```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC; -```",4.0584642887,DeepSeek-R1-Distill-Llama-70B,314,1.0161772098411346,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` DESC,Project the sessionlengthminutes ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004797,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC;"," - -To project the `sessionlengthminutes` column from the `accountFraud` table and order it in descending order, you can use the following SQL query: - -```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC; -```",3.5378167629,DeepSeek-R1-Distill-Llama-70B,315,1.0076213865669734,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` ASC,Show all data ordered by invoicenumber in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004797,"SELECT * -FROM latePayment -ORDER BY invoicenumber ASC;"," - -To fetch all data from the `latePayment` table ordered by `invoicenumber` in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber ASC; -```",3.4576416016,DeepSeek-R1-Distill-Llama-70B,316,1.0272280772243103,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` DESC,Show all data ordered by invoicenumber in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005337,"SELECT * -FROM latePayment -ORDER BY invoicenumber DESC;"," - -To fetch all data from the `latePayment` table ordered by `invoicenumber` in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber DESC; -```",4.2196249962,DeepSeek-R1-Distill-Llama-70B,317,1.0052829663051088,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` ASC,Show all data ordered by invoiceamount in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005265,"SELECT * -FROM latePayment -ORDER BY invoiceamount ASC;"," - -To fetch all data from the `latePayment` table ordered by `invoiceamount` in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount ASC; -```",4.3412611485,DeepSeek-R1-Distill-Llama-70B,318,1.0483188708284032,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` DESC,Show all data ordered by invoiceamount in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004842,"SELECT * -FROM latePayment -ORDER BY invoiceamount DESC;"," - -To fetch all data from the `latePayment` table ordered by `invoiceamount` in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount DESC; -```",3.6208417416,DeepSeek-R1-Distill-Llama-70B,319,1.0009104329408338,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` ASC,Project the daystosettle ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004977,SELECT daystosettle FROM latePayment ORDER BY daystosettle ASC;," - -To project the `daystosettle` column from the `latePayment` table in ascending order, you can use the following SQL query: - -```sql -SELECT daystosettle FROM latePayment ORDER BY daystosettle ASC; -```",3.6259276867,DeepSeek-R1-Distill-Llama-70B,320,1.0402027123803994,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` DESC,Project the daystosettle ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005013,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC;"," - -To project the `daystosettle` column from the `latePayment` table in descending order, you can use the following SQL query: - -```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC; -```",3.8076815605,DeepSeek-R1-Distill-Llama-70B,321,1.0593490297839914,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` ASC,Project the disputed ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004014,"SELECT disputed -FROM latePayment -ORDER BY disputed ASC;"," - -To project the `disputed` column from the `latePayment` table in ascending order, you can use the following SQL query: - -```sql -SELECT disputed -FROM latePayment -ORDER BY disputed ASC; -```",2.7900538445,DeepSeek-R1-Distill-Llama-70B,322,1.0092674350551794,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` DESC,Project the disputed ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006453,"SELECT disputed -FROM latePayment -ORDER BY disputed DESC;"," - -To project the `disputed` column from the `latePayment` table and order it in descending order, you can use the following SQL query: - -```sql -SELECT disputed -FROM latePayment -ORDER BY disputed DESC; -``` - -This query will: -1. Select the `disputed` column from the `latePayment` table. -2. Order the results in descending order based on the values in the `disputed` column.",5.4863243103,DeepSeek-R1-Distill-Llama-70B,323,1.0168560099731054,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005166,"SELECT emailisfree FROM ""accountFraud"";"," - -To fetch all `emailisfree` entries from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree FROM ""accountFraud""; -```",4.7123272419,DeepSeek-R1-Distill-Llama-70B,324,1.004040172276463,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `employmentstatus` FROM `accountFraud`,Show all employmentstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005076,SELECT DISTINCT employmentstatus FROM accountFraud;," - -To fetch all unique employment statuses from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT DISTINCT employmentstatus FROM accountFraud; -``` - -This query will return all unique values in the `employmentstatus` column of the `accountFraud` table.",4.9260385036,DeepSeek-R1-Distill-Llama-70B,325,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `deviceos` FROM `accountFraud`,Show all deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005157,"SELECT deviceos FROM ""accountFraud"";"," - -To fetch all `deviceos` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT deviceos FROM ""accountFraud""; -```",4.892496109,DeepSeek-R1-Distill-Llama-70B,326,1.0057031004005998,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `sessionlengthminutes` FROM `accountFraud`,Show all sessionlengthminutes in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004464,SELECT sessionlengthminutes FROM accountFraud;," - -To fetch all `sessionlengthminutes` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT sessionlengthminutes FROM accountFraud; -```",3.7779588699,DeepSeek-R1-Distill-Llama-70B,327,0.9906734325067907,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `housingstatus` FROM `accountFraud`,Show all housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004356,SELECT housingstatus FROM accountFraud;," - -To fetch all `housingstatus` entries from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT housingstatus FROM accountFraud; -```",3.545552969,DeepSeek-R1-Distill-Llama-70B,328,1.0815983670285947,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-ALL,SELECT * FROM `accountFraud`,Show all the rows in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005418,SELECT * FROM accountFraud;," - -To show all the rows in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT * FROM accountFraud; -``` - -This query will return all rows and columns from the `accountFraud` table.",4.4685411453,DeepSeek-R1-Distill-Llama-70B,329,1.007241617835553,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005346,SELECT emailisfree FROM accountFraud;," - -To fetch all `emailisfree` values from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT emailisfree FROM accountFraud; -```",4.1791014671,DeepSeek-R1-Distill-Llama-70B,330,1.033369831679369,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `housingstatus` FROM `accountFraud`","Show all income, housingstatus in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004482,"SELECT income, housingstatus FROM accountFraud;"," - -To fetch all `income` and `housingstatus` from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT income, housingstatus FROM accountFraud; -```",3.3581938744,DeepSeek-R1-Distill-Llama-70B,331,1.0060034619027665,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `deviceos`, `creditriskscore` FROM `accountFraud`","Show all hasothercards, deviceos, creditriskscore in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005418,"SELECT hasothercards, deviceos, creditriskscore FROM accountFraud;"," - -To fetch the `hasothercards`, `deviceos`, and `creditriskscore` columns from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT hasothercards, deviceos, creditriskscore FROM accountFraud; -``` - -This query will return all rows in your table with the specified columns.",4.3660936356,DeepSeek-R1-Distill-Llama-70B,332,0.9988207734979015,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype` FROM `accountFraud`","Show all housingstatus, creditriskscore, sessionlengthminutes, paymenttype in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004842,"SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype -FROM accountFraud;"," - -To fetch the specified columns from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype -FROM accountFraud; -```",3.6489334106,DeepSeek-R1-Distill-Llama-70B,333,1.0393370582648527,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes` FROM `accountFraud`","Show all dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005832,"SELECT dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes -FROM accountFraud;"," - -To fetch the specified columns from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes -FROM accountFraud; -``` - -This query will return all rows from the `accountFraud` table with only the columns `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, and `sessionlengthminutes`.",5.0241968632,DeepSeek-R1-Distill-Llama-70B,334,1.0058660432289086,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `emailisfree`, `employmentstatus`, `dateofbirthdistinctemails4w`, `sessionlengthminutes`, `income` FROM `accountFraud`","Show all hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006183,"SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income -FROM accountFraud;"," - -To fetch the specified columns from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income -FROM accountFraud; -```",6.1590676308,DeepSeek-R1-Distill-Llama-70B,335,1.0023770357956419,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, `income` FROM `accountFraud`","Show all creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005751,"SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income -FROM accountFraud;"," - -To fetch the specified columns from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income -FROM accountFraud; -``` - -This query will return all rows from the `accountFraud` table with only the columns: `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, and `income`.",4.7349593639,DeepSeek-R1-Distill-Llama-70B,336,1.0505042345726163,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `sessionlengthminutes`, `emailisfree`, `deviceos`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `hasothercards` FROM `accountFraud`","Show all creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006903,"SELECT creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards -FROM accountFraud;"," - -To fetch the specified columns from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards -FROM accountFraud; -```",5.7062382698,DeepSeek-R1-Distill-Llama-70B,337,0.9894130873185296,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `creditriskscore`, `deviceos`, `emailisfree`, `income`, `sessionlengthminutes` FROM `accountFraud`","Show all housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006039,"SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes -FROM accountFraud;"," - -To fetch the specified columns from the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes -FROM accountFraud; -```",4.5754113197,DeepSeek-R1-Distill-Llama-70B,338,1.0207977460322875,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessbill` FROM `latePayment`,Show all paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004293,SELECT paperlessbill FROM latePayment;," - -To fetch all `paperlessbill` entries from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessbill FROM latePayment; -``` - -This query will return all the values in the `paperlessbill` column of your `latePayment` table.",3.2660710812,DeepSeek-R1-Distill-Llama-70B,339,1.0193706042946982,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `invoiceamount` FROM `latePayment`,Show all invoiceamount in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004401,SELECT invoiceamount FROM latePayment;," - -To fetch all `invoiceamount` values from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT invoiceamount FROM latePayment; -```",3.3269164562,DeepSeek-R1-Distill-Llama-70B,340,1.0385852046753639,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessdate` FROM `latePayment`,Show all paperlessdate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005904,SELECT paperlessdate FROM latePayment;," - -To fetch all `paperlessdate` values from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate FROM latePayment; -``` - -This query will return all the values in the `paperlessdate` column from your `latePayment` table.",4.7336044312,DeepSeek-R1-Distill-Llama-70B,341,0.9943258779584485,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `duedate` FROM `latePayment`,Show all duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004923,SELECT duedate FROM latePayment;," - -To fetch all `duedate` entries from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT duedate FROM latePayment; -```",3.5428609848,DeepSeek-R1-Distill-Llama-70B,342,1.0029673978438611,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `daystosettle` FROM `latePayment`,Show all daystosettle in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005202,SELECT daystosettle FROM latePayment;," - -To fetch all `daystosettle` values from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT daystosettle FROM latePayment; -```",3.8836200237,DeepSeek-R1-Distill-Llama-70B,343,1.0165704733842833,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-ALL,SELECT * FROM `latePayment`,Show all the rows in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005022,SELECT * FROM latePayment;," - -To fetch all rows from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT * FROM latePayment; -``` - -This query will return all rows and all columns from the `latePayment` table.",4.2008926868,DeepSeek-R1-Distill-Llama-70B,344,1.0025828096558231,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,SELECT `disputed` FROM `latePayment`,Show all disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005679,"SELECT * -FROM latePayment -WHERE disputed IS NOT NULL;"," - -To fetch all records where the ""disputed"" column is present in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE disputed IS NOT NULL; -``` - -This query will return all rows from the `latePayment` table where the ""disputed"" column has a value (i.e., it is not null).",4.9593303204,DeepSeek-R1-Distill-Llama-70B,345,0.0,0.014,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `duedate`, `customerid` FROM `latePayment`","Show all duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004995,"SELECT duedate, customerid FROM latePayment;"," - -To fetch the `duedate` and `customerid` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT duedate, customerid FROM latePayment; -```",3.7910509109,DeepSeek-R1-Distill-Llama-70B,346,1.0017790827142592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `duedate`, `customerid` FROM `latePayment`","Show all paperlessdate, duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005283,"SELECT paperlessdate, duedate, customerid FROM latePayment;"," - -To fetch the `paperlessdate`, `duedate`, and `customerid` from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate, duedate, customerid FROM latePayment; -``` - -This query will return all rows from the `latePayment` table with the specified columns.",3.7682209015,DeepSeek-R1-Distill-Llama-70B,347,1.0333532883458583,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `paperlessdate`, `invoicedate`, `duedate` FROM `latePayment`","Show all daystosettle, paperlessdate, invoicedate, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000495,"SELECT daystosettle, paperlessdate, invoicedate, duedate FROM latePayment;"," - -To retrieve the specified columns from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT daystosettle, paperlessdate, invoicedate, duedate FROM latePayment; -```",3.3665430546,DeepSeek-R1-Distill-Llama-70B,348,1.009750514792513,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `invoicedate`, `dayslate`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, invoicedate, dayslate, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005517,"SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate -FROM latePayment;"," - -To fetch the specified columns from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate -FROM latePayment; -```",3.9600408077,DeepSeek-R1-Distill-Llama-70B,349,1.0187298945510506,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `invoiceamount`, `daystosettle`, `disputed`, `paperlessdate`, `duedate`, `invoicenumber` FROM `latePayment`","Show all invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004977,"SELECT invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber -FROM latePayment;"," - -To fetch the specified columns from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber -FROM latePayment; -```",3.4900722504,DeepSeek-R1-Distill-Llama-70B,350,0.9948261872114847,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed` FROM `latePayment`","Show all customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005463,"SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed -FROM latePayment;"," - -To fetch the specified columns from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed -FROM latePayment; -```",4.1398890018,DeepSeek-R1-Distill-Llama-70B,351,1.036113501516661,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `customerid`, `paperlessbill`, `paperlessdate`, `invoicedate`, `duedate`, `invoicenumber`, `disputed` FROM `latePayment`","Show all daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005616,"SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed -FROM latePayment;"," - -To fetch the specified columns from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed -FROM latePayment; -```",4.2577757835,DeepSeek-R1-Distill-Llama-70B,352,1.0002543015141532,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `dayslate`, `daystosettle`, `invoicedate`, `customerid`, `invoiceamount`, `paperlessbill`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005976,"SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate -FROM latePayment;"," - -To fetch the specified columns from the `latePayment` table, you can use the following SQL query: - -```sql -SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate -FROM latePayment; -```",4.1635529995,DeepSeek-R1-Distill-Llama-70B,353,1.0322002689825158,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` == 'AC',Show the data of the table accountFraud where paymenttype is equal to AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006039,SELECT * FROM accountFraud WHERE paymenttype = 'AC';," - -To fetch the data from the `accountFraud` table where the `paymenttype` is equal to 'AC', you can use the following SQL query: - -```sql -SELECT * FROM accountFraud WHERE paymenttype = 'AC'; -```",4.8255288601,DeepSeek-R1-Distill-Llama-70B,354,0.9923250646317989,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AC',Show the data of the table accountFraud where paymenttype is different from AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005823,"SELECT * -FROM accountFraud -WHERE paymenttype != 'AC';"," - -To fetch the data from the `accountFraud` table where the `paymenttype` is different from 'AC', you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE paymenttype != 'AC'; -```",4.559731245,DeepSeek-R1-Distill-Llama-70B,355,0.9587132964013696,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AA',Show the data of the table accountFraud where paymenttype not equal to AA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005679,SELECT * FROM accountFraud WHERE paymenttype != 'AA';," - -To fetch the data from the `accountFraud` table where the `paymenttype` is not equal to 'AA', you can use the following SQL query: - -```sql -SELECT * FROM accountFraud WHERE paymenttype != 'AA'; -```",4.2910189629,DeepSeek-R1-Distill-Llama-70B,356,1.0051770056211036,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` == 'CB',Show the data of the table accountFraud where employmentstatus is equal to CB,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005202,"SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB';"," - -To fetch the data from the `accountFraud` table where `employmentstatus` is equal to 'CB', you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB'; -```",3.6611785889,DeepSeek-R1-Distill-Llama-70B,357,1.0184533953980424,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus is different from CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000486,"SELECT * -FROM ""accountFraud"" -WHERE employmentstatus != 'CA';"," - -To fetch the data from the `accountFraud` table where the `employmentstatus` is different from 'CA', you can use the following SQL query: - -```sql -SELECT * -FROM ""accountFraud"" -WHERE employmentstatus != 'CA'; -```",3.3265550137,DeepSeek-R1-Distill-Llama-70B,358,1.007110572874926,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus not equal to CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004932,"SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA';"," - -To fetch the data from the `accountFraud` table where the `employmentstatus` is not equal to 'CA', you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA'; -```",3.690820694,DeepSeek-R1-Distill-Llama-70B,359,1.009616671002326,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` == 'windows',Show the data of the table accountFraud where deviceos is equal to windows,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000531,"SELECT * -FROM ""accountFraud"" -WHERE deviceos = 'windows';"," - -To fetch the data from the `accountFraud` table where `deviceos` is equal to ""windows"", you can use the following SQL query: - -```sql -SELECT * -FROM ""accountFraud"" -WHERE deviceos = 'windows'; -```",4.0919883251,DeepSeek-R1-Distill-Llama-70B,360,1.0592140431188928,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos is different from other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000477,"SELECT * -FROM accountFraud -WHERE deviceos != 'Other';"," - -To fetch the data from the `accountFraud` table where the `deviceos` is different from ""other"", you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE deviceos != 'Other'; -``` - -This query will return all rows from the `accountFraud` table where the value in the `deviceos` column is not equal to ""Other"".",3.3466970921,DeepSeek-R1-Distill-Llama-70B,361,0.0,0.654,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos not equal to other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005706,SELECT * FROM accountFraud WHERE deviceos != 'other';," - -To fetch the data from the `accountFraud` table where the `deviceos` column is not equal to 'other', you can use the following SQL query: - -```sql -SELECT * FROM accountFraud WHERE deviceos != 'other'; -``` - -This query will return all rows from the `accountFraud` table where the value in the `deviceos` column is not 'other'.",4.2420582771,DeepSeek-R1-Distill-Llama-70B,362,1.0419324597820518,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `income` < 0.4,Show the data of the table accountFraud where income is less than 0.4,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004752,"SELECT * -FROM accountFraud -WHERE income < 0.4;"," - -To fetch the data from the `accountFraud` table where the `income` is less than 0.4, you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE income < 0.4; -```",3.1453425884,DeepSeek-R1-Distill-Llama-70B,363,0.9987853840476548,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` > 3.749706225590873,Show the data of the table accountFraud where sessionlengthminutes is greater than 3.749706225590873,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000558,SELECT * FROM accountFraud WHERE sessionlengthminutes > 3.749706225590873;," - -To fetch the data from the `accountFraud` table where `sessionlengthminutes` is greater than 3.749706225590873, you can use the following SQL query: - -```sql -SELECT * FROM accountFraud WHERE sessionlengthminutes > 3.749706225590873; -```",4.1840057373,DeepSeek-R1-Distill-Llama-70B,364,1.0120514728168986,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` < 4.886676763177824,Show the data of the table accountFraud where sessionlengthminutes is less than 4.886676763177824,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006156,SELECT * FROM accountFraud WHERE sessionlengthminutes < 4.886676763177824;," - -To fetch the data from the `accountFraud` table where `sessionlengthminutes` is less than 4.886676763177824, you can use the following SQL query: - -```sql -SELECT * FROM accountFraud WHERE sessionlengthminutes < 4.886676763177824; -```",4.992836237,DeepSeek-R1-Distill-Llama-70B,365,1.0106545216662537,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` > 108,Show the data of the table accountFraud where creditriskscore is greater than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006237,"SELECT * -FROM accountFraud -WHERE creditriskscore > 108;"," - -To fetch the data from the `accountFraud` table where the `creditriskscore` is greater than 108, you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE creditriskscore > 108; -```",5.1480264664,DeepSeek-R1-Distill-Llama-70B,366,1.0461142613854886,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` < 108,Show the data of the table accountFraud where creditriskscore is less than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006039,"SELECT * -FROM accountFraud -WHERE creditriskscore < 108;"," - -To fetch the data from the `accountFraud` table where the `creditriskscore` is less than 108, you can use the following SQL query: - -```sql -SELECT * -FROM accountFraud -WHERE creditriskscore < 108; -```",4.966782093,DeepSeek-R1-Distill-Llama-70B,367,1.0102436677213014,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` == 'No',Show the data of the table latePayment where disputed is equal to No,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000549,"SELECT * -FROM latePayment -WHERE disputed = 'No';"," - -To fetch the data from the `latePayment` table where the `disputed` column is equal to ""No"", you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE disputed = 'No'; -```",4.2676944733,DeepSeek-R1-Distill-Llama-70B,368,1.0459460988295681,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed is different from Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006102,"SELECT * -FROM latePayment -WHERE disputed != 'Yes';"," - -To fetch the data from the `latePayment` table where the `disputed` column is different from ""Yes"", you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE disputed != 'Yes'; -```",5.1959958076,DeepSeek-R1-Distill-Llama-70B,369,1.0209234177518907,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed not equal to Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005103,"SELECT * -FROM latePayment -WHERE disputed <> 'Yes';"," - -To fetch the data from the `latePayment` table where the `disputed` column is not equal to ""Yes"", you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE disputed <> 'Yes'; -```",4.0081481934,DeepSeek-R1-Distill-Llama-70B,370,1.0109160971362516,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` == '2/6/2012',Show the data of the table latePayment where paperlessdate is equal to 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005733,"SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012';"," - -To fetch the data from the `latePayment` table where `paperlessdate` is equal to '2/6/2012', you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012'; -```",4.758711338,DeepSeek-R1-Distill-Llama-70B,371,1.0056657022748154,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '2/6/2012',Show the data of the table latePayment where paperlessdate is different from 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0007326,"SELECT * -FROM latePayment -WHERE paperlessdate != '2/6/2012';"," - -To fetch the data from the `latePayment` table where `paperlessdate` is different from '2/6/2012', you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE paperlessdate != '2/6/2012'; -```",6.5764539242,DeepSeek-R1-Distill-Llama-70B,372,1.01770729615234,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '1/26/2012',Show the data of the table latePayment where paperlessdate not equal to 1/26/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005625,"SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012';"," - -To fetch the data from the `latePayment` table where `paperlessdate` is not equal to '1/26/2012', you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012'; -```",4.154304266,DeepSeek-R1-Distill-Llama-70B,373,1.0057538392066507,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` == '4/11/2012',Show the data of the table latePayment where invoicedate is equal to 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005544,"SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012';"," - -To fetch the data from the `latePayment` table where `invoicedate` is equal to '4/11/2012', you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012'; -```",4.2675135136,DeepSeek-R1-Distill-Llama-70B,374,0.9568871368473154,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '4/11/2012',Show the data of the table latePayment where invoicedate is different from 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005373,"SELECT * -FROM latePayment -WHERE invoicedate != '4/11/2012';"," - -To fetch the data from the `latePayment` table where the `invoicedate` is different from '4/11/2012', you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE invoicedate != '4/11/2012'; -```",4.0941929817,DeepSeek-R1-Distill-Llama-70B,375,1.0030147053389387,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '6/18/2013',Show the data of the table latePayment where invoicedate not equal to 6/18/2013,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006885,"SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013';"," - -To fetch the data from the `latePayment` table where `invoicedate` is not equal to '6/18/2013', you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013'; -``` - -This query will return all rows from the `latePayment` table where the `invoicedate` is not '6/18/2013'.",5.381834507,DeepSeek-R1-Distill-Llama-70B,376,1.0140357904549178,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` > 0,Show the data of the table latePayment where dayslate is greater than 0,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000549,SELECT * FROM latePayment WHERE dayslate > 0;," - -To fetch the data from the `latePayment` table where `dayslate` is greater than 0, you can use the following SQL query: - -```sql -SELECT * FROM latePayment WHERE dayslate > 0; -```",3.8763861656,DeepSeek-R1-Distill-Llama-70B,377,1.0016698376673914,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` < 6,Show the data of the table latePayment where dayslate is less than 6,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005094,"SELECT * -FROM latePayment -WHERE dayslate < 6;"," - -To fetch the data from the `latePayment` table where `dayslate` is less than 6, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE dayslate < 6; -```",3.4747960567,DeepSeek-R1-Distill-Llama-70B,378,1.0244807170278531,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` > 84.86,Show the data of the table latePayment where invoiceamount is greater than 84.86,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005976,"SELECT * -FROM latePayment -WHERE invoiceamount > 84.86;"," - -To fetch the data from the `latePayment` table where `invoiceamount` is greater than 84.86, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE invoiceamount > 84.86; -```",5.1669297218,DeepSeek-R1-Distill-Llama-70B,379,0.9959168797885428,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` < 37.49,Show the data of the table latePayment where invoiceamount is less than 37.49,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005499,"SELECT * -FROM latePayment -WHERE invoiceamount < 37.49;"," - -To fetch the data from the `latePayment` table where `invoiceamount` is less than 37.49, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE invoiceamount < 37.49; -```",4.2793827057,DeepSeek-R1-Distill-Llama-70B,380,1.0505812928361686,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` > 9465847338,Show the data of the table latePayment where invoicenumber is greater than 9465847338,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005013,"SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338;"," - -To fetch the data from the `latePayment` table where `invoicenumber` is greater than 9465847338, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338; -```",3.3571193218,DeepSeek-R1-Distill-Llama-70B,381,1.0037481721589365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` < 6528247418,Show the data of the table latePayment where invoicenumber is less than 6528247418,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005382,"SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418;"," - -To fetch the data from the `latePayment` table where `invoicenumber` is less than `6528247418`, you can use the following SQL query: - -```sql -SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418; -```",4.0109126568,DeepSeek-R1-Distill-Llama-70B,382,1.0009862628860713,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`,How many different employmentstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004779,"SELECT COUNT(DISTINCT employmentstatus) -FROM accountFraud;"," - -To determine how many different `employmentstatus` values exist in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT employmentstatus) -FROM accountFraud; -``` - -This query will return the number of unique `employmentstatus` values in the `accountFraud` table.",3.4689435959,DeepSeek-R1-Distill-Llama-70B,383,1.071852666681508,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`,How many different housingstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004464,SELECT COUNT(DISTINCT housingstatus) FROM `accountFraud`;," - -To determine how many different `housingstatus` values exist in the `accountFraud` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT housingstatus) FROM `accountFraud`; -```",2.9546267986,DeepSeek-R1-Distill-Llama-70B,384,1.017797729900726,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`,How many different deviceos are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005355,"SELECT COUNT(DISTINCT deviceos) AS ""Number of Different DeviceOS"" -FROM accountFraud;"," - -To determine how many different `deviceos` are present in the `accountFraud` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT deviceos) AS ""Number of Different DeviceOS"" -FROM accountFraud; -``` - -This query will count the number of unique values in the `deviceos` column of the `accountFraud` table.",4.6477272511,DeepSeek-R1-Distill-Llama-70B,385,1.0087792131258433,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hasothercards`) FROM `accountFraud`,How many different hasothercards are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006327,"SELECT COUNT(DISTINCT hasothercards) -FROM accountFraud;"," - -To determine how many different `hasothercards` values exist in the `accountFraud` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT hasothercards) -FROM accountFraud; -```",5.0038223267,DeepSeek-R1-Distill-Llama-70B,386,1.0680776996679577,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`,How many different emailisfree are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000477,SELECT COUNT(DISTINCT emailisfree) FROM accountFraud;," - -To determine how many different `emailisfree` values are present in the `accountFraud` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT emailisfree) FROM accountFraud; -```",3.3240845203,DeepSeek-R1-Distill-Llama-70B,387,1.005203185697156,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`creditriskscore`) FROM `accountFraud`,Find the maximum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004869,SELECT MAX(creditriskscore) FROM accountFraud;," - -To find the maximum `creditriskscore` for the table `accountFraud`, you can use the SQL `MAX()` function. Here is the SQL code: - -```sql -SELECT MAX(creditriskscore) FROM accountFraud; -```",3.3764343262,DeepSeek-R1-Distill-Llama-70B,388,1.0116842863879567,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`creditriskscore`) FROM `accountFraud`,Find the minimum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004671,SELECT MIN(creditriskscore) FROM accountFraud;," - -To find the minimum `creditriskscore` for the table `accountFraud`, you can use the SQL `MIN()` function. Here is the SQL code: - -```sql -SELECT MIN(creditriskscore) FROM accountFraud; -```",3.2308743,DeepSeek-R1-Distill-Llama-70B,389,1.0255475051377194,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`creditriskscore`) FROM `accountFraud`,Find the average creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005769,SELECT AVG(creditriskscore) AS average_credit_risk_score FROM accountFraud;," - -To find the average `creditriskscore` for the table `accountFraud`, you can use the SQL `AVG()` function. Here is the SQL code: - -```sql -SELECT AVG(creditriskscore) AS average_credit_risk_score FROM accountFraud; -``` - -This query will calculate the average value of the `creditriskscore` column in the `accountFraud` table and return it as `average_credit_risk_score`.",4.2607183456,DeepSeek-R1-Distill-Llama-70B,390,1.0200867907423403,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`income`) FROM `accountFraud`,Find the maximum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005544,SELECT MAX(income) AS max_income FROM accountFraud;," - -To find the maximum income from the `accountFraud` table, you can use the SQL `MAX()` function. Here's the SQL code: - -```sql -SELECT MAX(income) AS max_income FROM accountFraud; -``` - -This query will return the highest value in the `income` column of the `accountFraud` table.",4.1440038681,DeepSeek-R1-Distill-Llama-70B,391,1.00844899844255,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`income`) FROM `accountFraud`,Find the minimum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005256,SELECT MIN(income) AS minimum_income FROM accountFraud;," - -To find the minimum income from the `accountFraud` table, you can use the SQL `MIN()` function. Here's the SQL code: - -```sql -SELECT MIN(income) AS minimum_income FROM accountFraud; -``` - -This query will return the smallest value in the `income` column of the `accountFraud` table.",4.2426838875,DeepSeek-R1-Distill-Llama-70B,392,1.0479179247563426,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`income`) FROM `accountFraud`,Find the average income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006372,SELECT AVG(income) AS average_income FROM accountFraud;," - -To find the average income for the table `accountFraud`, you can use the SQL `AVG()` function, which calculates the average value of a numeric column. Here's the SQL code: - -```sql -SELECT AVG(income) AS average_income FROM accountFraud; -``` - -This query will return the average value of the `income` column in the `accountFraud` table. The `AS average_income` part is optional and is used to give an alias to the resulting column for better readability.",5.691699028,DeepSeek-R1-Distill-Llama-70B,393,1.0286822686826147,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `invoicedate`) FROM `latePayment`,How many different invoicedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0006462,SELECT COUNT(DISTINCT invoicedate) FROM latePayment;," - -To determine how many different `invoicedate` values are in the `latePayment` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT invoicedate) FROM latePayment; -```",5.7670071125,DeepSeek-R1-Distill-Llama-70B,394,1.006678983550158,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`,How many different disputed are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005841,"SELECT COUNT(DISTINCT disputed) -FROM latePayment;"," - -To determine how many different disputes are in the `latePayment` table, you can use the `COUNT(DISTINCT)` function in SQL to count the number of unique values in the `disputed` column. Here is the SQL code: - -```sql -SELECT COUNT(DISTINCT disputed) -FROM latePayment; -```",4.8731024265,DeepSeek-R1-Distill-Llama-70B,395,1.003265503311383,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `customerid`) FROM `latePayment`,How many different customerid are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005688,"SELECT COUNT(DISTINCT customerid) AS numberOfUniqueCustomers -FROM latePayment;"," - -To determine how many different `customerid`s are in the `latePayment` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT customerid) AS numberOfUniqueCustomers -FROM latePayment; -``` - -This query will return the number of unique `customerid`s in your `latePayment` table.",4.2882497311,DeepSeek-R1-Distill-Llama-70B,396,1.0254482441887733,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `paperlessdate`) FROM `latePayment`,How many different paperlessdate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005265,SELECT COUNT(DISTINCT paperlessdate) FROM latePayment;," - -To determine how many different `paperlessdate` values are in the `latePayment` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT paperlessdate) FROM latePayment; -```",3.9492390156,DeepSeek-R1-Distill-Llama-70B,397,1.0113171493553796,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `duedate`) FROM `latePayment`,How many different duedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005571,SELECT COUNT(DISTINCT duedate) FROM latePayment;," - -To determine how many different `duedate` values are present in the `latePayment` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT duedate) FROM latePayment; -``` - -This query will return the number of unique `duedate` values in your `latePayment` table.",4.0568327904,DeepSeek-R1-Distill-Llama-70B,398,1.0419215823764052,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`daystosettle`) FROM `latePayment`,Find the maximum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004887,SELECT MAX(daystosettle) FROM latePayment;," - -To find the maximum `daystosettle` for the table `latePayment`, you can use the SQL `MAX()` function. Here's the SQL code: - -```sql -SELECT MAX(daystosettle) FROM latePayment; -```",3.6057379246,DeepSeek-R1-Distill-Llama-70B,399,1.0119777085625652,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`daystosettle`) FROM `latePayment`,Find the minimum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004302,SELECT MIN(daystosettle) FROM latePayment;," - -To find the minimum `daystosettle` for the table `latePayment`, you can use the SQL `MIN()` function. Here's the SQL code: - -```sql -SELECT MIN(daystosettle) FROM latePayment; -```",2.9514117241,DeepSeek-R1-Distill-Llama-70B,400,1.0088719387803071,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`daystosettle`) FROM `latePayment`,Find the average daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004518,"SELECT AVG(daystosettle) AS average_daystosettle -FROM latePayment;"," - -To find the average `daystosettle` for the table `latePayment`, you can use the SQL `AVG()` function. Here's the SQL code: - -```sql -SELECT AVG(daystosettle) AS average_daystosettle -FROM latePayment; -``` - -This query will calculate and return the average value of the `daystosettle` column in your `latePayment` table.",3.1984949112,DeepSeek-R1-Distill-Llama-70B,401,1.045313888074413,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`dayslate`) FROM `latePayment`,Find the maximum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004923,"SELECT MAX(dayslate) AS maximum_dayslate -FROM latePayment;"," - -To find the maximum `dayslate` for the table `latePayment`, you can use the SQL `MAX()` function. Here is the SQL code: - -```sql -SELECT MAX(dayslate) AS maximum_dayslate -FROM latePayment; -``` - -This query will return the maximum value in the `dayslate` column of the `latePayment` table.",3.4240789413,DeepSeek-R1-Distill-Llama-70B,402,1.0360634854705224,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`dayslate`) FROM `latePayment`,Find the minimum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004752,SELECT MIN(dayslate) FROM latePayment;," - -To find the minimum `dayslate` for the table `latePayment`, you can use the SQL `MIN()` function. Here is the SQL code: - -```sql -SELECT MIN(dayslate) FROM latePayment; -```",3.2187240124,DeepSeek-R1-Distill-Llama-70B,403,1.0220258828605506,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`dayslate`) FROM `latePayment`,Find the average dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0005517,"SELECT AVG(dayslate) AS average_dayslate -FROM latePayment;"," - -To find the average `dayslate` for the table `latePayment`, you can use the SQL `AVG()` function. Here is the SQL code: - -```sql -SELECT AVG(dayslate) AS average_dayslate -FROM latePayment; -``` - -This query will calculate the average value of the `dayslate` column in your `latePayment` table and return it as `average_dayslate`.",4.2221977711,DeepSeek-R1-Distill-Llama-70B,404,1.0448373333934278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `menopausalstatus` FROM `breastCancer`,Show the different menopausalstatus in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004914,SELECT DISTINCT menopausalstatus FROM breastCancer;," - -To retrieve the different `menopausalstatus` values from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT DISTINCT menopausalstatus FROM breastCancer; -``` - -This query will return all unique values in the `menopausalstatus` column of the `breastCancer` table.",3.6169939041,DeepSeek-R1-Distill-Llama-70B,405,1.0028868925428767,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hormonaltherapy` FROM `breastCancer`,Show the different hormonaltherapy in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005265,SELECT DISTINCT hormonaltherapy FROM breastCancer;," - -To retrieve the different types of hormonal therapy from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT DISTINCT hormonaltherapy FROM breastCancer; -``` - -This query will return all unique values in the `hormonaltherapy` column of the `breastCancer` table.",3.8698406219,DeepSeek-R1-Distill-Llama-70B,406,1.0246241499453943,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `status` FROM `breastCancer`,Show the different status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005283,SELECT DISTINCT status FROM breastCancer;," - -To show the different statuses in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT DISTINCT status FROM breastCancer; -``` - -This query will return all unique values in the `status` column of the `breastCancer` table.",4.2151997089,DeepSeek-R1-Distill-Llama-70B,407,1.0292301104391008,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `heartAttack`,Show the different sex in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005031,SELECT DISTINCT sex FROM heartAttack;," - -To show the different sexes in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT DISTINCT sex FROM heartAttack; -``` - -This query will return all unique values in the `sex` column of the `heartAttack` table.",3.8083415031,DeepSeek-R1-Distill-Llama-70B,408,1.0093811012584843,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `chestpaintype` FROM `heartAttack`,Show the different chestpaintype in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005454,"SELECT DISTINCT chestpaintype FROM ""heartAttack"";"," - -To fetch the different chest pain types from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT DISTINCT chestpaintype FROM ""heartAttack""; -``` - -This query will return all unique values in the `chestpaintype` column of the `heartAttack` table.",4.0403773785,DeepSeek-R1-Distill-Llama-70B,409,1.0070361513104278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `fastingbloodsugar` FROM `heartAttack`,Show the different fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005499,SELECT DISTINCT fastingbloodsugar FROM heartAttack;," - -To fetch the different values of `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT DISTINCT fastingbloodsugar FROM heartAttack; -``` - -This query will return all unique values in the `fastingbloodsugar` column of the `heartAttack` table.",4.2104384899,DeepSeek-R1-Distill-Llama-70B,410,1.0548189588187549,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `restingelectrocardiographicrresults` FROM `heartAttack`,Show the different restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005985,SELECT DISTINCT restingelectrocardiographicrresults FROM heartAttack;," - -To fetch the different `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT DISTINCT restingelectrocardiographicrresults FROM heartAttack; -``` - -This query will return all unique values in the `restingelectrocardiographicrresults` column of the `heartAttack` table.",4.7682290077,DeepSeek-R1-Distill-Llama-70B,411,1.0088612196055071,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `output` FROM `heartAttack`,Show the different output in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000495,SELECT DISTINCT output FROM heartAttack;," - -To show the different output in the table `heartAttack`, you can use the following SQL query: - -```sql -SELECT DISTINCT output FROM heartAttack; -``` - -This query will return all unique values in the `output` column of the `heartAttack` table.",3.5461928844,DeepSeek-R1-Distill-Llama-70B,412,0.9968751493050478,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `menopausalstatus`, COUNT(*) FROM `breastCancer` GROUP BY `menopausalstatus`","For each menopausalstatus, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004986,"SELECT menopausalstatus, COUNT(*) as row_count -FROM breastCancer -GROUP BY menopausalstatus;"," - -To count the number of rows for each `menopausalstatus` in the `breastCancer` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT menopausalstatus, COUNT(*) as row_count -FROM breastCancer -GROUP BY menopausalstatus; -``` - -This query will return the number of rows for each distinct value in the `menopausalstatus` column.",3.503923893,DeepSeek-R1-Distill-Llama-70B,413,1.0337467602268107,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `hormonaltherapy`, COUNT(*) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000567,"SELECT hormonaltherapy, COUNT(*) AS row_count -FROM breastCancer -GROUP BY hormonaltherapy;"," - -To count the number of rows in the `breastCancer` table for each `hormonaltherapy`, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, COUNT(*) AS row_count -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This query will: -1. Group the rows in the `breastCancer` table by the `hormonaltherapy` column. -2. Count the number of rows for each unique value of `hormonaltherapy`. -3. Return the results with the `hormonaltherapy` value and the corresponding count of rows.",4.8118698597,DeepSeek-R1-Distill-Llama-70B,414,1.001723329915493,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `status`, COUNT(*) FROM `breastCancer` GROUP BY `status`","For each status, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005175,"SELECT - status, - COUNT(*) as count -FROM - breastCancer -GROUP BY - status;"," - -To count the number of rows for each status in the `breastCancer` table, you can use the `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `status` column. - -```sql -SELECT - status, - COUNT(*) as count -FROM - breastCancer -GROUP BY - status; -```",4.2779037952,DeepSeek-R1-Distill-Llama-70B,415,1.0056174188852247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0008343,"SELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy -ORDER BY hormonaltherapy;"," - -To translate the question into SQL code, we need to fetch the minimum value of `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table. Here is the SQL code: - -```sql -SELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor -FROM breastCancer -GROUP BY hormonaltherapy -ORDER BY hormonaltherapy; -``` - -### Explanation: -1. **`SELECT hormonaltherapy`**: This selects the `hormonaltherapy` column to group the results by each hormonal therapy type. -2. **`MIN(progesteronereceptor) AS min_progesteronereceptor`**: This calculates the minimum value of `progesteronereceptor` for each group of `hormonaltherapy` and aliases the result as `min_progesteronereceptor` for clarity. -3. **`FROM breastCancer`**: This specifies the table to query. -4. **`GROUP BY hormonaltherapy`**: This groups the rows by the `hormonaltherapy` column, allowing us to calculate the minimum `progesteronereceptor` for each hormonal therapy type. -5. **`ORDER BY hormonaltherapy`**: This sorts the final results by the `hormonaltherapy` column for better readability. - -This query will return the minimum `progesteronereceptor` value for each `hormonaltherapy` in the `breastCancer` table.",6.7573008537,DeepSeek-R1-Distill-Llama-70B,416,0.9966148728976247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005994,"SELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesterone -FROM breastCancer -GROUP BY hormonaltherapy;"," - -To find the maximum value of `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesterone -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This query will: -1. Group the rows in the `breastCancer` table by the `hormonaltherapy` column. -2. For each group, calculate the maximum value of the `progesteronereceptor` column. -3. Return the results with the `hormonaltherapy` and the corresponding maximum `progesteronereceptor` value.",4.6582055092,DeepSeek-R1-Distill-Llama-70B,417,1.0132550827224753,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007596,"SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesterone -FROM breastCancer -GROUP BY hormonaltherapy;"," - -To translate the question into SQL code, we need to calculate the average value of the `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table. Here's the SQL code: - -```sql -SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesterone -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This SQL query will: -1. Select the `hormonaltherapy` column and the average of the `progesteronereceptor` column. -2. Group the results by the `hormonaltherapy` column. -3. Return the average `progesteronereceptor` value for each `hormonaltherapy`.",6.3213160038,DeepSeek-R1-Distill-Llama-70B,418,1.0067289787771156,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006804,"SELECT - hormonaltherapy, - SUM(progesteronereceptor) AS sum_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy;"," - -To translate the question into SQL code, we need to calculate the sum of the `progesteronereceptor` values for each unique `hormonaltherapy` in the `breastCancer` table. Here's the SQL code: - -```sql -SELECT - hormonaltherapy, - SUM(progesteronereceptor) AS sum_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query: -1. Selects the `hormonaltherapy` column and calculates the sum of the `progesteronereceptor` values for each group of rows with the same `hormonaltherapy`. -2. Uses the `SUM()` function to calculate the total of `progesteronereceptor` values. -3. Groups the results by the `hormonaltherapy` column using the `GROUP BY` clause. -4. Includes an alias `sum_progesteronereceptor` for the calculated sum column to make the results more readable.",5.4673614502,DeepSeek-R1-Distill-Llama-70B,419,1.035108036817083,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005787,"SELECT - hormonaltherapy, - MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy;"," - -To translate the question into SQL code, we need to fetch the minimum value of `numberpositivelymphnodes` for each `hormonaltherapy` in the `breastCancer` table. Here's the SQL code: - -```sql -SELECT - hormonaltherapy, - MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will: -1. Select the `hormonaltherapy` column. -2. Calculate the minimum value of `numberpositivelymphnodes` for each `hormonaltherapy` group using the `MIN()` function. -3. Group the results by the `hormonaltherapy` column.",4.4462041855,DeepSeek-R1-Distill-Llama-70B,420,1.0137785994735484,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000675,"SELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_nodes -FROM breastCancer -GROUP BY hormonaltherapy;"," - -To find the maximum number of positive lymph nodes for each hormonal therapy in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_nodes -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This query will: -1. Group the rows in the `breastCancer` table by the `hormonaltherapy` column. -2. For each group, calculate the maximum value of `numberpositivelymphnodes`. -3. Return the results with the hormonal therapy type and the corresponding maximum number of positive lymph nodes.",5.6798455715,DeepSeek-R1-Distill-Llama-70B,421,0.9959849171474503,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005094,"SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy;"," - -To find the average number of positive lymph nodes for each hormonal therapy in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM breastCancer -GROUP BY hormonaltherapy; -``` - -This query: -1. Selects the `hormonaltherapy` column and calculates the average of `numberpositivelymphnodes` for each group of `hormonaltherapy`. -2. Groups the results by the `hormonaltherapy` column. -3. Returns the average number of positive lymph nodes for each hormonal therapy.",3.776838541,DeepSeek-R1-Distill-Llama-70B,422,1.0252788342365415,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006615,"SELECT - hormonaltherapy, - SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes -FROM - breastCancer -GROUP BY - hormonaltherapy;"," - -To translate the question into SQL code, we need to calculate the sum of `numberpositivelymphnodes` for each unique value in the `hormonaltherapy` column in the `breastCancer` table. Here's the SQL code: - -```sql -SELECT - hormonaltherapy, - SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will: -1. Select the `hormonaltherapy` column. -2. Calculate the sum of `numberpositivelymphnodes` for each `hormonaltherapy` group using the `SUM()` function. -3. Group the results by the `hormonaltherapy` column to ensure the sum is calculated for each unique hormonal therapy type.",4.8936069012,DeepSeek-R1-Distill-Llama-70B,423,1.0099191707428838,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005571,"SELECT - status, - MIN(progesteronereceptor) AS min_progesterone -FROM - breastCancer -GROUP BY - status;"," - -To find the minimum value of `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - status, - MIN(progesteronereceptor) AS min_progesterone -FROM - breastCancer -GROUP BY - status; -``` - -This query will return the minimum `progesteronereceptor` value for each unique `status` in the `breastCancer` table.",4.2504837513,DeepSeek-R1-Distill-Llama-70B,424,1.017185475741288,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005634,"SELECT - status, - MAX(progesteronereceptor) AS max_progesterone_receptor -FROM - breastCancer -GROUP BY - status;"," - -To find the maximum value of `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - status, - MAX(progesteronereceptor) AS max_progesterone_receptor -FROM - breastCancer -GROUP BY - status; -``` - -This query will return the maximum `progesteronereceptor` value for each unique `status` in the `breastCancer` table.",4.2210359573,DeepSeek-R1-Distill-Llama-70B,425,1.02772430219081,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005922,"SELECT - status, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - status;"," - -To find the average of `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - status, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - status; -``` - -This query will: -1. Group the rows in the `breastCancer` table by the `status` column. -2. Calculate the average value of `progesteronereceptor` for each group (i.e., for each `status`). -3. Return a result set with two columns: `status` and `avg_progesteronereceptor` (the average value of `progesteronereceptor` for that status).",4.2153475285,DeepSeek-R1-Distill-Llama-70B,426,1.0103678016266593,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005607,"SELECT - status, - SUM(progesteronereceptor) AS sum_progesteronereceptor -FROM - breastCancer -GROUP BY - status;"," - -To translate the question into SQL code, we need to calculate the sum of the `progesteronereceptor` for each unique `status` in the `breastCancer` table. Here's the SQL code: - -```sql -SELECT - status, - SUM(progesteronereceptor) AS sum_progesteronereceptor -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will: -1. Select the `status` column and the sum of the `progesteronereceptor` column. -2. Group the results by the `status` column. -3. Return the sum of `progesteronereceptor` for each unique `status`.",3.7864849567,DeepSeek-R1-Distill-Llama-70B,427,1.0464583363573294,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005121,"SELECT - status, - MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status;"," - -To find the minimum number of positive lymph nodes for each status in the `breastCancer` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - status, - MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status; -``` - -This query will return the minimum value of `numberpositivelymphnodes` for each unique `status` in the `breastCancer` table.",3.7079322338,DeepSeek-R1-Distill-Llama-70B,428,1.289820960742176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006543,"SELECT - status, - MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status;"," - -To translate the question into SQL code, we need to find the maximum value of `numberpositivelymphnodes` for each unique `status` in the `breastCancer` table. Here's the SQL code: - -```sql -SELECT - status, - MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will: -1. Select the `status` column. -2. Calculate the maximum value of `numberpositivelymphnodes` for each `status` using the `MAX()` function. -3. Group the results by the `status` column to ensure we get one maximum value per status.",5.2803378105,DeepSeek-R1-Distill-Llama-70B,429,1.006625287929899,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005805,"SELECT - status, - AVG(numberpositivelymphnodes) AS average_number -FROM - breastCancer -GROUP BY - status;"," - -To find the average number of positive lymph nodes for each status in the `breastCancer` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - status, - AVG(numberpositivelymphnodes) AS average_number -FROM - breastCancer -GROUP BY - status; -``` - -This query will: -1. Group the rows in the `breastCancer` table by the `status` column. -2. Calculate the average value of `numberpositivelymphnodes` for each group (i.e., for each status). -3. Return a result set with two columns: `status` and `average_number` (the average number of positive lymph nodes for that status).",4.3011181355,DeepSeek-R1-Distill-Llama-70B,430,1.008890646472676,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005625,"SELECT - status, - SUM(numberpositivelymphnodes) AS total_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status;"," - -To translate the question into SQL code, we need to calculate the sum of `numberpositivelymphnodes` for each `status` in the `breastCancer` table. Here's the SQL query: - -```sql -SELECT - status, - SUM(numberpositivelymphnodes) AS total_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status; -``` - -This query will: -1. Select the `status` column. -2. Calculate the sum of `numberpositivelymphnodes` for each `status`. -3. Group the results by the `status` column. - -The result will show the total number of positive lymph nodes for each status in the `breastCancer` table.",3.9104025364,DeepSeek-R1-Distill-Llama-70B,431,1.0546633049682805,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `sex`, COUNT(*) FROM `heartAttack` GROUP BY `sex`","For each sex, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000648,"SELECT - sex, - COUNT(*) AS count_per_sex -FROM - heartAttack -GROUP BY - sex -ORDER BY - sex;"," - -To count the number of rows in the `heartAttack` table for each sex, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - sex, - COUNT(*) AS count_per_sex -FROM - heartAttack -GROUP BY - sex -ORDER BY - sex; -``` - -This query will: -1. Select the `sex` column and count the number of rows for each unique `sex` value. -2. Group the results by the `sex` column. -3. Optionally order the results by `sex` for better readability. - -The result will show the number of rows in the `heartAttack` table for each unique `sex` value.",5.5142486095,DeepSeek-R1-Distill-Llama-70B,432,1.0113452510230514,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `chestpaintype`, COUNT(*) FROM `heartAttack` GROUP BY `chestpaintype`","For each chestpaintype, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005463,"SELECT - chestpaintype, - COUNT(*) as count -FROM - heartAttack -GROUP BY - chestpaintype -ORDER BY - chestpaintype;"," - -To count the number of rows for each `chestpaintype` in the `heartAttack` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - chestpaintype, - COUNT(*) as count -FROM - heartAttack -GROUP BY - chestpaintype -ORDER BY - chestpaintype; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `chestpaintype` column. -2. Count the number of rows in each group. -3. Return the results sorted by `chestpaintype`.",3.916166544,DeepSeek-R1-Distill-Llama-70B,433,1.0063727740402355,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `fastingbloodsugar`, COUNT(*) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006849,"SELECT fastingbloodsugar, COUNT(*) as count_of_rows -FROM heartAttack -GROUP BY fastingbloodsugar;"," - -To count the number of rows for each `fastingbloodsugar` value in the `heartAttack` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT fastingbloodsugar, COUNT(*) as count_of_rows -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` column. -2. Count the number of rows for each unique `fastingbloodsugar` value. -3. Return a result set with two columns: `fastingbloodsugar` (the unique values) and `count_of_rows` (the count of rows for each value).",5.8742821217,DeepSeek-R1-Distill-Llama-70B,434,1.0741140153722097,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `restingelectrocardiographicrresults`, COUNT(*) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007344,"SELECT restingelectrocardiographicrresults, COUNT(*) as count -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;"," - -To translate the question into SQL code, we need to count the number of rows in the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column. Here is the SQL code: - -```sql -SELECT restingelectrocardiographicrresults, COUNT(*) as count -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This SQL code will: -1. Select the `restingelectrocardiographicrresults` column -2. Count the number of rows for each unique value in the `restingelectrocardiographicrresults` column -3. Group the results by the `restingelectrocardiographicrresults` column -4. Return the results with the count for each group",5.7637073994,DeepSeek-R1-Distill-Llama-70B,435,0.9917005908005508,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `output`, COUNT(*) FROM `heartAttack` GROUP BY `output`","For each output, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005337,"SELECT output, COUNT(*) -FROM heartAttack -GROUP BY output;"," - -To count the number of rows in the `heartAttack` table for each output, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `output` column. - -```sql -SELECT output, COUNT(*) -FROM heartAttack -GROUP BY output; -```",4.4647738934,DeepSeek-R1-Distill-Llama-70B,436,1.0076996832369844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005355,"SELECT - restingelectrocardiographicrresults, - MIN(age) AS min_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;"," - -To find the minimum age for each unique value in the `restingelectrocardiographicrresults` column from the `heartAttack` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - restingelectrocardiographicrresults, - MIN(age) AS min_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This query will return the minimum age for each unique `restingelectrocardiographicrresults` value in the `heartAttack` table.",3.7893857956,DeepSeek-R1-Distill-Llama-70B,437,1.0347990743454036,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000585,"SELECT - restingelectrocardiographicrresults, - MAX(age) AS max_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;"," - -To find the maximum age for each unique value in the `restingelectrocardiographicrresults` column from the `heartAttack` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT - restingelectrocardiographicrresults, - MAX(age) AS max_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This SQL query will: -1. Group the rows in the `heartAttack` table by the `restingelectrocardiographicrresults` column. -2. For each group, calculate the maximum value of the `age` column. -3. Return a result set with two columns: `restingelectrocardiographicrresults` and `max_age` (the maximum age for each group).",4.4097533226,DeepSeek-R1-Distill-Llama-70B,438,1.0134908547796093,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000603,"SELECT - restingelectrocardiographicrresults, - AVG(age) AS average_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;"," - -To find the average age for each `restingelectrocardiographicrresults` in the `heartAttack` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - restingelectrocardiographicrresults, - AVG(age) AS average_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This query will: -1. Select the `restingelectrocardiographicrresults` column and the average of the `age` column. -2. Group the results by the `restingelectrocardiographicrresults` values. -3. Return the average age for each group of `restingelectrocardiographicrresults`.",4.3336520195,DeepSeek-R1-Distill-Llama-70B,439,1.0049568068786272,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007362,"SELECT - restingelectrocardiographicrresults, - SUM(age) AS total_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;"," - -To translate the question into SQL code, we need to calculate the sum of ages for each unique value in the `restingelectrocardiographicrresults` column from the `heartAttack` table. Here's the SQL code: - -```sql -SELECT - restingelectrocardiographicrresults, - SUM(age) AS total_age -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This SQL query will: -1. Select the `restingelectrocardiographicrresults` column to group the results by its unique values. -2. Calculate the sum of the `age` column for each group using the `SUM()` function. -3. Group the results by the `restingelectrocardiographicrresults` column using the `GROUP BY` clause.",5.8638968468,DeepSeek-R1-Distill-Llama-70B,440,1.021933049546936,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006948,"SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_numberofmajorvvessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;"," - -To translate the question into SQL code, we need to fetch the minimum value of `numberofmajorvvessels` for each unique value of `restingelectrocardiographicrresults` in the `heartAttack` table. Here is the SQL code: - -```sql -SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_numberofmajorvvessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -```",5.4251737595,DeepSeek-R1-Distill-Llama-70B,441,1.0136408232390868,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007605,"SELECT - restingelectrocardiographicrresults AS result, - MAX(numberofmajorvvessels) AS max_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;"," - -To translate the question into SQL code, we need to fetch the maximum value of `numberofmajorvvessels` for each unique value of `restingelectrocardiographicrresults` in the `heartAttack` table. Here's the SQL code: - -```sql -SELECT - restingelectrocardiographicrresults AS result, - MAX(numberofmajorvvessels) AS max_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This SQL query will: -1. Group the rows in the `heartAttack` table by the `restingelectrocardiographicrresults` column. -2. For each group, calculate the maximum value of `numberofmajorvvessels`. -3. Return the result with the `restingelectrocardiographicrresults` value and its corresponding maximum `numberofmajorvvessels`.",6.0379912853,DeepSeek-R1-Distill-Llama-70B,442,0.9909861620500053,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007533,"SELECT - restingelectrocardiographicrresults, - AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;"," - -To translate the question into SQL code, we need to calculate the average of `numberofmajorvvessels` for each unique value in the `restingelectrocardiographicrresults` column in the `heartAttack` table. Here is the SQL code: - -```sql -SELECT - restingelectrocardiographicrresults, - AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This SQL query will: -1. Select the `restingelectrocardiographicrresults` column to group the results by each unique value. -2. Calculate the average of `numberofmajorvvessels` for each group using the `AVG()` function. -3. Group the results by the `restingelectrocardiographicrresults` column using the `GROUP BY` clause.",6.2050237656,DeepSeek-R1-Distill-Llama-70B,443,1.0262100994746828,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007137,"SELECT - restingelectrocardiographicrresults AS result, - SUM(numberofmajorvvessels) AS total_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;"," - -To translate the question into SQL code, we need to calculate the sum of `numberofmajorvvessels` for each unique value of `restingelectrocardiographicrresults` in the `heartAttack` table. Here is the SQL code: - -```sql -SELECT - restingelectrocardiographicrresults AS result, - SUM(numberofmajorvvessels) AS total_vessels -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This SQL query will: -1. Group the rows in the `heartAttack` table by the `restingelectrocardiographicrresults` column. -2. For each group, calculate the sum of the `numberofmajorvvessels` column. -3. Return the results with the `restingelectrocardiographicrresults` value and the corresponding sum of `numberofmajorvvessels`.",5.7681632042,DeepSeek-R1-Distill-Llama-70B,444,1.0101636126442146,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005328,"SELECT fastingbloodsugar, MIN(age) AS min_age -FROM heartAttack -GROUP BY fastingbloodsugar;"," - -To find the minimum age for each unique value of `fastingbloodsugar` in the `heartAttack` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT fastingbloodsugar, MIN(age) AS min_age -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This query will return the minimum age for each distinct `fastingbloodsugar` value in the `heartAttack` table.",4.2654521465,DeepSeek-R1-Distill-Llama-70B,445,1.0006698862553753,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006336,"SELECT - fastingbloodsugar, - MAX(age) AS max_age -FROM - heartAttack -GROUP BY - fastingbloodsugar;"," - -To find the maximum age for each unique value of `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT - fastingbloodsugar, - MAX(age) AS max_age -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` column. -2. For each group (i.e., for each unique value of `fastingbloodsugar`), it will calculate the maximum value of the `age` column. -3. Return a result set with two columns: `fastingbloodsugar` and `max_age` (the maximum age for that fasting blood sugar category).",5.3090624809,DeepSeek-R1-Distill-Llama-70B,446,1.0575434452349406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006318,"SELECT - fastingbloodsugar, - AVG(age) AS avg_age -FROM - heartAttack -GROUP BY - fastingbloodsugar -ORDER BY - fastingbloodsugar;"," - -To find the average age for each `fastingbloodsugar` value in the `heartAttack` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - fastingbloodsugar, - AVG(age) AS avg_age -FROM - heartAttack -GROUP BY - fastingbloodsugar -ORDER BY - fastingbloodsugar; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` values. -2. Calculate the average age for each group. -3. Return the results sorted by `fastingbloodsugar` values.",5.3909673691,DeepSeek-R1-Distill-Llama-70B,447,0.9996150788058821,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004788,"SELECT - fastingbloodsugar, - SUM(age) AS total_age -FROM - heartAttack -GROUP BY - fastingbloodsugar;"," - -To translate the question into SQL code, we need to calculate the sum of the ""age"" column for each unique value in the ""fastingbloodsugar"" column in the ""heartAttack"" table. - -```sql -SELECT - fastingbloodsugar, - SUM(age) AS total_age -FROM - heartAttack -GROUP BY - fastingbloodsugar; -```",3.0777006149,DeepSeek-R1-Distill-Llama-70B,448,1.006039525623069,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005598,"SELECT - fastingbloodsugar, - MIN(numberofmajorvvessels) AS min_vessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;"," - -To translate the question into SQL code, we need to fetch the minimum value of `numberofmajorvvessels` for each distinct value of `fastingbloodsugar` in the `heartAttack` table. Here's the SQL code: - -```sql -SELECT - fastingbloodsugar, - MIN(numberofmajorvvessels) AS min_vessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This SQL query will: -1. Select the `fastingbloodsugar` column. -2. Calculate the minimum value of `numberofmajorvvessels` for each `fastingbloodsugar` group using the `MIN()` function. -3. Group the results by the `fastingbloodsugar` values.",4.9221360683,DeepSeek-R1-Distill-Llama-70B,449,1.0265768882403428,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006192,"SELECT - fastingbloodsugar, - MAX(numberofmajorvvessels) AS max_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;"," - -To translate the question into SQL code, we need to find the maximum value of `numberofmajorvvessels` for each distinct `fastingbloodsugar` value in the `heartAttack` table. Here's the SQL code: - -```sql -SELECT - fastingbloodsugar, - MAX(numberofmajorvvessels) AS max_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This SQL query will: -1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` column. -2. For each group (i.e., for each distinct `fastingbloodsugar` value), it will calculate the maximum value of `numberofmajorvvessels`. -3. Return a result set with two columns: `fastingbloodsugar` and `max_numberofmajorvvessels` (the maximum value of `numberofmajorvvessels` for each `fastingbloodsugar`).",4.8064537048,DeepSeek-R1-Distill-Llama-70B,450,1.0185336196122956,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006309,"SELECT - fastingbloodsugar, - AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;"," - -To find the average of `numberofmajorvvessels` for each `fastingbloodsugar` in the `heartAttack` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - fastingbloodsugar, - AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` values. -2. Calculate the average of `numberofmajorvvessels` for each group. -3. Return the results with the `fastingbloodsugar` value and its corresponding average.",4.8377299309,DeepSeek-R1-Distill-Llama-70B,451,1.0122141664169524,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006939,"SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_vessels -FROM heartAttack -GROUP BY fastingbloodsugar;"," - -To translate the question into SQL code, we need to calculate the sum of `numberofmajorvvessels` for each unique value of `fastingbloodsugar` in the `heartAttack` table. This can be achieved using the `SUM()` aggregation function combined with the `GROUP BY` clause. - -```sql -SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_vessels -FROM heartAttack -GROUP BY fastingbloodsugar; -```",5.5616161823,DeepSeek-R1-Distill-Llama-70B,452,1.015528227106381,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) >= 12,Find all the menopausalstatus that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006291,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12;"," - -To find all the `menopausalstatus` values that have at least 12 records in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) >= 12; -``` - -This query: -1. Groups the records in the `breastCancer` table by the `menopausalstatus` column. -2. Counts the number of records in each group using `COUNT(*)`. -3. Filters the results to include only those groups with at least 12 records using `HAVING COUNT(*) >= 12`. - -The result will be a list of `menopausalstatus` values that meet the condition.",4.8544354439,DeepSeek-R1-Distill-Llama-70B,453,1.0001842043820468,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) <= 12,Find all the menopausalstatus that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006183,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(patientidentifier) <= 12;"," - -To find all the `menopausalstatus` that have at most 12 records in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(patientidentifier) <= 12; -``` - -This query: -1. Groups the records in the `breastCancer` table by the `menopausalstatus` column. -2. Counts the number of records (`patientidentifier`) for each group. -3. Filters the results to include only those groups with 12 or fewer records.",5.1917300224,DeepSeek-R1-Distill-Llama-70B,454,1.0011809051914111,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) >= 12,Find all the hormonaltherapy that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005454,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(hormonaltherapy) >= 12;"," - -To find all the `hormonaltherapy` entries in the `breastCancer` table that have at least 12 records, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(hormonaltherapy) >= 12; -``` - -This query: -1. Selects the `hormonaltherapy` column. -2. Groups the results by the `hormonaltherapy` values. -3. Filters the results to include only those groups with at least 12 records.",4.6495320797,DeepSeek-R1-Distill-Llama-70B,455,1.0343321833899168,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) <= 12,Find all the hormonaltherapy that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000612,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12;"," - -To find all the `hormonaltherapy` values in the `breastCancer` table that have at most 12 records, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(*) <= 12; -``` - -This query: -1. Groups the rows in the `breastCancer` table by the `hormonaltherapy` column. -2. Counts the number of records for each `hormonaltherapy` value. -3. Filters the results to include only those `hormonaltherapy` values that have 12 or fewer records.",4.8066625595,DeepSeek-R1-Distill-Llama-70B,456,1.0147991448448312,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) >= 12,Find all the status that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007245,SELECT status FROM breastCancer GROUP BY status HAVING COUNT(*) >= 12;," - -To find all the status values in the `breastCancer` table that have at least 12 records, you can use the following SQL query: - -```sql -SELECT status FROM breastCancer GROUP BY status HAVING COUNT(*) >= 12; -``` - -This query: -1. Groups the rows in the `breastCancer` table by the `status` column. -2. Counts the number of records for each `status` using `COUNT(*)`. -3. Filters the results to include only those `status` values that have at least 12 records using `HAVING COUNT(*) >= 12`.",6.6237535477,DeepSeek-R1-Distill-Llama-70B,457,1.0024221944968312,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) <= 12,Find all the status that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006426,"SELECT status, COUNT(*) as record_count -FROM ""breastCancer"" -GROUP BY status -HAVING COUNT(*) <= 12;"," - -To find all the statuses in the `breastCancer` table that have at most 12 records, you can use the following SQL query: - -```sql -SELECT status, COUNT(*) as record_count -FROM ""breastCancer"" -GROUP BY status -HAVING COUNT(*) <= 12; -``` - -This query will: -1. Select the `status` column and count the number of records for each status. -2. Group the results by the `status` column. -3. Filter the results to include only those statuses that have 12 or fewer records.",5.171929121,DeepSeek-R1-Distill-Llama-70B,458,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) >= 30.14,List the hormonaltherapy which average of tumorsize is at least 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0009792,"SELECT hormonaltherapy, AVG(tumorsize) AS average_tumorsize -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14;"," - -To answer the question, we need to write an SQL query that calculates the average tumor size for each type of hormonal therapy and then filters the results to include only those hormonal therapies where the average tumor size is at least 30.14. - -Here is the SQL code: - -```sql -SELECT hormonaltherapy, AVG(tumorsize) AS average_tumorsize -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) >= 30.14; -``` - -### Explanation: -1. **SELECT hormonaltherapy, AVG(tumorsize) AS average_tumorsize**: This selects the `hormonaltherapy` column and calculates the average of the `tumorsize` for each group of `hormonaltherapy`. The average is aliased as `average_tumorsize` for clarity. -2. **FROM breastCancer**: This specifies the table from which to retrieve the data. -3. **GROUP BY hormonaltherapy**: This groups the data by the `hormonaltherapy` column, allowing us to calculate the average tumor size for each type of hormonal therapy. -4. **HAVING AVG(tumorsize) >= 30.14**: This filters the results to include only those groups where the average tumor size is at least 30.14. - -This query will return the hormonal therapies and their corresponding average tumor sizes, but only for those where the average tumor size meets or exceeds 30.14.",8.1096246243,DeepSeek-R1-Distill-Llama-70B,459,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) <= 30.14,List the hormonaltherapy which average of tumorsize is at most 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0008361,"SELECT - hormonaltherapy, - AVG(tumorsize) AS avg_tumorsize -FROM - breastCancer -GROUP BY - hormonaltherapy -HAVING - AVG(tumorsize) <= 30.14;"," - -To answer the question, we need to write an SQL query that calculates the average tumor size for each type of hormonal therapy and then filters the results to include only those hormonal therapies where the average tumor size is at most 30.14. - -Here is the SQL code: - -```sql -SELECT - hormonaltherapy, - AVG(tumorsize) AS avg_tumorsize -FROM - breastCancer -GROUP BY - hormonaltherapy -HAVING - AVG(tumorsize) <= 30.14; -``` - -### Explanation: -1. **SELECT Clause**: We select the `hormonaltherapy` column and calculate the average of `tumorsize` for each group of `hormonaltherapy`. The average is aliased as `avg_tumorsize` for clarity. -2. **FROM Clause**: We specify the table `breastCancer` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `hormonaltherapy` column to calculate the average tumor size for each type of hormonal therapy. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the average tumor size is at most 30.14. - -This query will return the hormonal therapies and their corresponding average tumor sizes, but only for those where the average tumor size is 30.14 or less.",6.5175719261,DeepSeek-R1-Distill-Llama-70B,460,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) >= 389.5,List the hormonaltherapy which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006822,"SELECT hormonaltherapy -FROM ""breastCancer"" -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5;"," - -To answer the question, we need to write an SQL query that will sum the `tumorsize` values and filter the results to include only those rows where the summation of `tumorsize` is at least 389.5. Here's the SQL code: - -```sql -SELECT hormonaltherapy -FROM ""breastCancer"" -GROUP BY hormonaltherapy -HAVING SUM(tumorsize) >= 389.5; -``` - -### Explanation: -1. **SELECT hormonaltherapy**: This selects the `hormonaltherapy` column, which contains the information we want to retrieve. -2. **FROM ""breastCancer""**: This specifies the table from which to retrieve the data. -3. **GROUP BY hormonaltherapy**: This groups the rows by the `hormonaltherapy` column, allowing us to aggregate the `tumorsize` values for each unique `hormonaltherapy`. -4. **HAVING SUM(tumorsize) >= 389.5**: This filters the grouped results to include only those groups where the sum of `tumorsize` is at least 389.5. - -This query will return the `hormonaltherapy` values where the total `tumorsize` for that therapy meets or exceeds 389.5.",5.1066854,DeepSeek-R1-Distill-Llama-70B,461,1.0308773616485787,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) <= 389.5,List the hormonaltherapy which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006876,"SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 389.5;"," - -To answer the question, we need to fetch the `hormonaltherapy` entries from the `breastCancer` table where the sum of `tumorsize` is at most 389.5. Here's the SQL code to achieve this: - -```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 389.5; -``` - -This SQL query will return all `hormonaltherapy` values from the `breastCancer` table where the corresponding `tumorsize` is less than or equal to 389.5.",5.4316260815,DeepSeek-R1-Distill-Llama-70B,462,0.0,0.5,1.0,0.0,0.04,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) >= 53.95,List the hormonaltherapy which average of age is at least 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000567,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95;"," - -To fetch the hormonal therapies where the average age is at least 53.95 from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) >= 53.95; -``` - -This query: -1. Groups the rows by the `hormonaltherapy` column. -2. Calculates the average age for each group using the `AVG()` function. -3. Filters the groups to include only those where the average age is at least 53.95 using the `HAVING` clause.",4.2242941856,DeepSeek-R1-Distill-Llama-70B,463,0.9955420964819959,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) <= 53.95,List the hormonaltherapy which average of age is at most 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005553,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95;"," - -To fetch the hormonal therapies where the average age is at most 53.95 from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95; -``` - -This query: -1. Groups the data by `hormonaltherapy`. -2. Calculates the average age for each group using `AVG(age)`. -3. Filters the results to include only those groups where the average age is less than or equal to 53.95.",4.717851162,DeepSeek-R1-Distill-Llama-70B,464,1.051514011664691,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) >= 640.5,List the hormonaltherapy which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0008316,"SELECT hormonaltherapy, SUM(age) AS total_age -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5;"," - -To answer the question, we need to write an SQL query that will sum the `age` values for each `hormonaltherapy` type in the `breastCancer` table and then filter the results to include only those `hormonaltherapy` types where the sum of `age` is at least 640.5. - -Here is the SQL code: - -```sql -SELECT hormonaltherapy, SUM(age) AS total_age -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5; -``` - -### Explanation: -1. **SELECT hormonaltherapy, SUM(age) AS total_age**: This selects the `hormonaltherapy` column and calculates the sum of the `age` column for each group of `hormonaltherapy` entries. The sum is aliased as `total_age` for clarity. -2. **FROM breastCancer**: This specifies the table from which to retrieve the data. -3. **GROUP BY hormonaltherapy**: This groups the rows by the `hormonaltherapy` column, allowing us to aggregate the `age` values for each `hormonaltherapy` type. -4. **HAVING SUM(age) >= 640.5**: This filters the grouped results to include only those groups where the sum of `age` is at least 640.5. - -This query will return the `hormonaltherapy` types and their corresponding total ages for groups where the sum of ages meets or exceeds 640.5.",7.2968559265,DeepSeek-R1-Distill-Llama-70B,465,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) <= 640.5,List the hormonaltherapy which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006138,"SELECT hormonaltherapy -FROM breastCancer -WHERE age <= 640.5;"," - -To translate the question into SQL code, we need to sum the `age` column in the `breastCancer` table and filter the results to include only those rows where the sum of `age` is at most 640.5. Here's the SQL code: - -```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age <= 640.5; -``` - -This SQL query will: -1. Select the `hormonaltherapy` column from the `breastCancer` table. -2. Filter the rows to include only those where the `age` is less than or equal to 640.5.",4.5520267487,DeepSeek-R1-Distill-Llama-70B,466,0.0,0.5,1.0,0.0,0.04,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) >= 34.41,List the status which average of tumorsize is at least 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005994,"SELECT - status, - AVG(tumorsize) AS avg_tumor_size -FROM - breastCancer -GROUP BY - status -HAVING - AVG(tumorsize) >= 34.41;"," - -To answer the question, we need to write an SQL query that calculates the average `tumorsize` for each `status` in the `breastCancer` table and then filters the results to include only those statuses where the average `tumorsize` is at least 34.41. - -```sql -SELECT - status, - AVG(tumorsize) AS avg_tumor_size -FROM - breastCancer -GROUP BY - status -HAVING - AVG(tumorsize) >= 34.41; -```",4.9410288334,DeepSeek-R1-Distill-Llama-70B,467,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) <= 34.41,List the status which average of tumorsize is at most 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005769,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41;"," - -To fetch the status where the average tumor size is at most 34.41 from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(tumorsize) <= 34.41; -``` - -This query: -1. Groups the rows in the `breastCancer` table by the `status` column. -2. Calculates the average `tumorsize` for each group using the `AVG()` function. -3. Filters the results to include only those groups where the average `tumorsize` is less than or equal to 34.41.",4.0573706627,DeepSeek-R1-Distill-Llama-70B,468,1.0221514865808499,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) >= 389.5,List the status which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000909,"SELECT status, SUM(tumorsize) AS total_tumor_size -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5;"," - -To answer the question, we need to write an SQL query that will sum the `tumorsize` for each `status` in the `breastCancer` table and then filter the results to include only those statuses where the sum of `tumorsize` is at least 389.5. - -Here is the SQL code: - -```sql -SELECT status, SUM(tumorsize) AS total_tumor_size -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) >= 389.5; -``` - -### Explanation: -1. **SELECT status, SUM(tumorsize) AS total_tumor_size**: This selects the `status` column and calculates the sum of the `tumorsize` for each group of `status`. The sum is aliased as `total_tumor_size` for clarity. -2. **FROM breastCancer**: This specifies the table from which to retrieve the data. -3. **GROUP BY status**: This groups the rows by the `status` column, allowing us to aggregate the `tumorsize` values for each unique `status`. -4. **HAVING SUM(tumorsize) >= 389.5**: This filters the grouped results to include only those groups where the sum of `tumorsize` is at least 389.5. - -This query will return the `status` and the corresponding sum of `tumorsize` for each `status` where the sum meets or exceeds 389.5.",7.7706992626,DeepSeek-R1-Distill-Llama-70B,469,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) <= 389.5,List the status which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006561,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5;"," - -To translate the question into SQL code, we need to fetch the `status` from the `breastCancer` table where the sum of `tumorsize` is at most 389.5. Here's the SQL code: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(tumorsize) <= 389.5; -``` - -This SQL query will: -1. Group the rows in the `breastCancer` table by the `status` column. -2. Calculate the sum of `tumorsize` for each group. -3. Filter the results to include only those groups where the sum of `tumorsize` is less than or equal to 389.5. -4. Return the `status` values that meet this condition.",4.8680608273,DeepSeek-R1-Distill-Llama-70B,470,1.0484364100321517,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) >= 53.44,List the status which average of age is at least 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006579,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44;"," - -To answer the question, we need to fetch the `status` from the `breastCancer` table where the average age for each `status` is at least 53.44. Here's the SQL code to achieve this: - -```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44; -``` - -This SQL query: -1. Selects the `status` column from the `breastCancer` table. -2. Groups the rows by the `status` column. -3. Filters the groups to include only those where the average age is at least 53.44.",4.7175071239,DeepSeek-R1-Distill-Llama-70B,471,1.0058404797201403,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) <= 53.44,List the status which average of age is at most 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007605,"SELECT status, AVG(age) AS average_age -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44;"," - -To answer the question ""List the status which average of age is at most 53.44 in table breastCancer,"" we need to calculate the average age for each status and filter those statuses where the average age is less than or equal to 53.44. - -Here is the SQL code to achieve this: - -```sql -SELECT status, AVG(age) AS average_age -FROM breastCancer -GROUP BY status -HAVING AVG(age) <= 53.44; -``` - -### Explanation: -1. **SELECT Clause**: We select the `status` column and calculate the average age for each status using `AVG(age)`. The `AS average_age` renames the calculated column for clarity. -2. **FROM Clause**: We specify the table `breastCancer` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `status` column to calculate the average age for each unique status. -4. **HAVING Clause**: We filter the grouped results to include only those statuses where the average age is at most 53.44. - -This query will return the statuses along with their corresponding average ages, but only for those statuses where the average age is 53.44 or less.",6.1433923244,DeepSeek-R1-Distill-Llama-70B,472,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) >= 640.5,List the status which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006768,"SELECT status, SUM(age) AS total_age -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5;"," - -To answer the question, we need to sum the `age` values for each `status` in the `breastCancer` table and then filter the results to include only those statuses where the sum of ages is at least 640.5. - -Here is the SQL code to achieve this: - -```sql -SELECT status, SUM(age) AS total_age -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5; -``` - -This query: -1. Groups the rows in the `breastCancer` table by the `status` column. -2. Calculates the sum of the `age` column for each group. -3. Filters the results to include only those groups where the sum of ages is at least 640.5.",6.4907729626,DeepSeek-R1-Distill-Llama-70B,473,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) <= 640.5,List the status which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005688,"SELECT status, SUM(age) AS total_age -FROM ""breastCancer"" -GROUP BY status -HAVING SUM(age) <= 640.5;"," - -To answer the question ""List the status which summation of age is at most 640.5 in table breastCancer,"" we need to calculate the sum of ages for each status and filter those statuses where the sum is less than or equal to 640.5. - -```sql -SELECT status, SUM(age) AS total_age -FROM ""breastCancer"" -GROUP BY status -HAVING SUM(age) <= 640.5; -```",5.2783753872,DeepSeek-R1-Distill-Llama-70B,474,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) >= 10,Find all the output that have at least 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005562,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10;"," - -To find all the outputs that have at least 10 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `output` column. -2. Count the number of records for each unique `output`. -3. Return only those `output` values that have at least 10 records.",5.1660861969,DeepSeek-R1-Distill-Llama-70B,475,0.9981315846024268,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) <= 10,Find all the output that have at most 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005337,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(output) <= 10;"," - -To find all the output values that have at most 10 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(output) <= 10; -``` - -This query: -1. Groups the rows in the `heartAttack` table by the `output` column. -2. Counts the number of records for each unique `output` value. -3. Filters the results to include only those `output` values that have 10 or fewer records.",4.1015074253,DeepSeek-R1-Distill-Llama-70B,476,0.9886205290757675,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) >= 5,Find all the chestpaintype that have at least 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000639,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5;"," - -To find all the `chestpaintype` that have at least 5 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5; -``` - -This query: -1. Selects the `chestpaintype` column. -2. Groups the rows by the `chestpaintype` values. -3. Filters the groups to include only those with at least 5 records using the `HAVING COUNT(*) >= 5` condition.",6.3066291809,DeepSeek-R1-Distill-Llama-70B,477,1.009188703610908,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) <= 5,Find all the chestpaintype that have at most 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005616,"SELECT chestpaintype, COUNT(*) as count -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5;"," - -To find all the `chestpaintype` values that have at most 5 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT chestpaintype, COUNT(*) as count -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5; -``` - -This query: -1. Groups the records in the `heartAttack` table by the `chestpaintype` column. -2. Counts the number of records for each `chestpaintype`. -3. Filters the results to include only those `chestpaintype` values that have 5 or fewer records.",4.6580753326,DeepSeek-R1-Distill-Llama-70B,478,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) >= 6,Find all the restingelectrocardiographicrresults that have at least 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007146,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6;"," - -To find all the `restingelectrocardiographicrresults` that have at least 6 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6; -``` - -This query: -1. Groups the records in the `heartAttack` table by the `restingelectrocardiographicrresults` column. -2. Filters the groups to include only those with at least 6 records using the `HAVING COUNT(*) >= 6` condition.",6.1182887554,DeepSeek-R1-Distill-Llama-70B,479,0.950131161885204,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) <= 6,Find all the restingelectrocardiographicrresults that have at most 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007704,"SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack -WHERE restingelectrocardiographicrresults IN ( - SELECT restingelectrocardiographicrresults - FROM heartAttack - GROUP BY restingelectrocardiographicrresults - HAVING COUNT(restingelectrocardiographicrresults) <= 6 -);"," - -To find all the `restingelectrocardiographicrresults` that have at most 6 records in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack -WHERE restingelectrocardiographicrresults IN ( - SELECT restingelectrocardiographicrresults - FROM heartAttack - GROUP BY restingelectrocardiographicrresults - HAVING COUNT(restingelectrocardiographicrresults) <= 6 -); -``` - -This query works as follows: -1. The subquery groups the `restingelectrocardiographicrresults` by their values and counts how many times each value appears. -2. The `HAVING COUNT(restingelectrocardiographicrresults) <= 6` clause filters the results to include only those values that appear at most 6 times. -3. The outer query selects the distinct `restingelectrocardiographicrresults` values from the `heartAttack` table that match the filtered results from the subquery.",6.569070816,DeepSeek-R1-Distill-Llama-70B,480,1.063507761960439,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) >= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at least 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007938,"SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure >= (SELECT AVG(restingbloodpressure) FROM heartAttack);"," - -To answer the question, we need to write an SQL query that will fetch the `fastingbloodsugar` values from the `heartAttack` table where the average of `restingbloodpressure` is at least 145.75. - -Here is the SQL code: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure >= (SELECT AVG(restingbloodpressure) FROM heartAttack); -``` - -### Explanation: -1. **SELECT fastingbloodsugar**: This selects the `fastingbloodsugar` column from the `heartAttack` table. -2. **FROM heartAttack**: This specifies the table from which to retrieve the data. -3. **WHERE restingbloodpressure >= (SELECT AVG(restingbloodpressure) FROM heartAttack)**: This filters the rows to include only those where the `restingbloodpressure` is greater than or equal to the average `restingbloodpressure` in the `heartAttack` table. - -This query will return all `fastingbloodsugar` values for which the corresponding `restingbloodpressure` is at least the average `restingbloodpressure` in the table.",7.1344857216,DeepSeek-R1-Distill-Llama-70B,481,0.0,0.5,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) <= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at most 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0011142,"SELECT fastingbloodsugar -FROM heartAttack -HAVING AVG(restingbloodpressure) <= 145.75;"," - -To answer the question, we need to write an SQL query that retrieves the `fastingbloodsugar` values from the `heartAttack` table where the average `restingbloodpressure` is at most 145.75. - -Here is the SQL code: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -HAVING AVG(restingbloodpressure) <= 145.75; -``` - -### Explanation: -1. **SELECT fastingbloodsugar**: This part of the query specifies that we want to retrieve the `fastingbloodsugar` values. -2. **FROM heartAttack**: This specifies the table from which we want to retrieve the data. -3. **HAVING AVG(restingbloodpressure) <= 145.75**: This filters the results to include only the rows where the average `restingbloodpressure` is at most 145.75. - -This query will return all `fastingbloodsugar` values from the `heartAttack` table where the average `restingbloodpressure` is less than or equal to 145.75.",10.4227371216,DeepSeek-R1-Distill-Llama-70B,482,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.001026,"SELECT fastingbloodsugar, SUM(restingbloodpressure) AS total_rbp -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5;"," - -To answer the question, we need to write an SQL query that will sum the `restingbloodpressure` values and filter the results to include only those rows where the sum is at least 1343.5. Here's the SQL code: - -```sql -SELECT fastingbloodsugar, SUM(restingbloodpressure) AS total_rbp -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING SUM(restingbloodpressure) >= 1343.5; -``` - -### Explanation: -1. **SELECT Clause**: We select the `fastingbloodsugar` column and calculate the sum of `restingbloodpressure` values, aliasing it as `total_rbp` for clarity. -2. **FROM Clause**: We specify the table `heartAttack` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `fastingbloodsugar` column to aggregate the `restingbloodpressure` values for each unique `fastingbloodsugar` value. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the sum of `restingbloodpressure` is at least 1343.5. - -This query will return the `fastingbloodsugar` values along with their corresponding total `restingbloodpressure` sums, but only for those groups where the sum meets or exceeds 1343.5.",9.0583543777,DeepSeek-R1-Distill-Llama-70B,483,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0010125,"SELECT fastingbloodsugar -FROM heartAttack -WHERE SUM(restingbloodpressure) <= 1343.5;"," - -To translate the question into SQL code, we need to fetch the `fastingbloodsugar` values from the `heartAttack` table where the sum of `restingbloodpressure` is at most 1343.5. - -Here is the SQL code: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE SUM(restingbloodpressure) <= 1343.5; -``` - -This query will return the `fastingbloodsugar` values from the `heartAttack` table where the sum of `restingbloodpressure` is less than or equal to 1343.5.",9.5725865364,DeepSeek-R1-Distill-Llama-70B,484,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) >= 59.17,List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0008253,"SELECT fastingbloodsugar -FROM heartAttack -WHERE age >= 59.17;"," - -To answer the question ""List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack,"" we need to write an SQL query that selects the `fastingbloodsugar` values from the `heartAttack` table where the average age is at least 59.17. - -Here is the SQL code to achieve this: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age >= 59.17; -``` - -This query will return all `fastingbloodsugar` values from the `heartAttack` table where the corresponding `age` is at least 59.17.",7.2579333782,DeepSeek-R1-Distill-Llama-70B,485,0.0,0.5,1.0,0.0,0.111,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) <= 59.17,List the fastingbloodsugar which average of age is at most 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006786,"SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) <= 59.17;"," - -To answer the question, we need to write an SQL query that calculates the average age for each `fastingbloodsugar` value in the `heartAttack` table and then filters the results to include only those `fastingbloodsugar` values where the average age is at most 59.17. - -Here is the SQL code: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -GROUP BY fastingbloodsugar -HAVING AVG(age) <= 59.17; -``` - -This query: -1. Groups the rows in the `heartAttack` table by the `fastingbloodsugar` column. -2. Calculates the average age for each group using the `AVG()` function. -3. Filters the results to include only those groups where the average age is less than or equal to 59.17 using the `HAVING` clause. -4. Returns the `fastingbloodsugar` values that meet the condition.",5.5272974968,DeepSeek-R1-Distill-Llama-70B,486,1.010924823278069,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) >= 561.0,List the fastingbloodsugar which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0009234,"SELECT fastingbloodsugar -FROM heartAttack -WHERE age >= 561.0;"," - -To answer the question, we need to fetch the `fastingbloodsugar` values from the `heartAttack` table where the sum of the `age` column is at least 561.0. - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age >= 561.0; -``` - -This SQL query will return all `fastingbloodsugar` values from the `heartAttack` table where the corresponding `age` value is at least 561.0.",8.5948164463,DeepSeek-R1-Distill-Llama-70B,487,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) <= 561.0,List the fastingbloodsugar which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0009171,SELECT fastingbloodsugar FROM heartAttack WHERE SUM(age) <= 561.0;," - -To fetch the desired information from the database, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar FROM heartAttack WHERE SUM(age) <= 561.0; -``` - -This query will return the `fastingbloodsugar` values from the `heartAttack` table where the sum of the `age` column is at most 561.0.",8.8166210651,DeepSeek-R1-Distill-Llama-70B,488,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) >= 131.31,List the sex which average of restingbloodpressure is at least 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007749,"SELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31;"," - -To answer the question, we need to write an SQL query that calculates the average resting blood pressure for each sex in the `heartAttack` table and then filters the results to include only those sexes where the average resting blood pressure is at least 131.31. - -Here is the SQL code: - -```sql -SELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31; -``` - -### Explanation: -1. **SELECT Clause**: We select the `sex` column and calculate the average of `restingbloodpressure` using the `AVG()` function. We alias the average as `average_resting_blood_pressure` for clarity. -2. **FROM Clause**: We specify the table `heartAttack` as the source of data. -3. **GROUP BY Clause**: We group the results by the `sex` column to calculate the average resting blood pressure for each sex. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the average resting blood pressure is at least 131.31. - -This query will return the sex (or sexes) where the average resting blood pressure meets or exceeds 131.31.",6.7187571526,DeepSeek-R1-Distill-Llama-70B,489,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) <= 131.31,List the sex which average of restingbloodpressure is at most 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0007515,"SELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31;"," - -To answer the question, we need to write an SQL query that calculates the average resting blood pressure for each sex in the `heartAttack` table and then filters the results to include only those sexes where the average resting blood pressure is at most 131.31. - -Here is the SQL code: - -```sql -SELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure -FROM heartAttack -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31; -``` - -### Explanation: -1. **SELECT Clause**: We select the `sex` column and calculate the average of `restingbloodpressure` for each sex using the `AVG()` function. The `AS` keyword is used to alias the calculated column as `average_resting_blood_pressure` for better readability. -2. **FROM Clause**: We specify the table `heartAttack` as the source of data. -3. **GROUP BY Clause**: We group the rows by the `sex` column to calculate the average resting blood pressure for each sex separately. -4. **HAVING Clause**: We filter the grouped results to include only those groups where the average resting blood pressure is at most 131.31. - -This query will return the sex (or sexes) where the average resting blood pressure is 131.31 or less.",6.735979557,DeepSeek-R1-Distill-Llama-70B,490,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the sex which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006435,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5;"," - -To answer the question, we need to write an SQL query that will sum the `restingbloodpressure` values for each `sex` in the `heartAttack` table and then filter the results to include only those sexes where the sum is at least 1343.5. - -Here is the SQL code: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5; -``` - -This query: -1. Selects the `sex` column. -2. Groups the rows by the `sex` column. -3. Uses the `HAVING` clause to filter the groups where the sum of `restingbloodpressure` is at least 1343.5.",5.2247867584,DeepSeek-R1-Distill-Llama-70B,491,1.0150299519734813,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006462,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5;"," - -To answer the question ""List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"" we can use the following SQL query: - -```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `sex` column. -2. Calculate the sum of `restingbloodpressure` for each group. -3. Filter the results to include only those groups where the sum of `restingbloodpressure` is less than or equal to 1343.5. -4. Return the `sex` values that meet this condition.",5.1550960541,DeepSeek-R1-Distill-Llama-70B,492,1.0027901839943365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) >= 58.78,List the sex which average of age is at least 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006192,"SELECT sex, AVG(age) AS average_age -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78;"," - -To answer the question ""List the sex which average of age is at least 58.78 in table heartAttack,"" we can use the following SQL query: - -```sql -SELECT sex, AVG(age) AS average_age -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78; -``` - -This query: -1. Selects the `sex` column and calculates the average age for each sex. -2. Groups the results by the `sex` column. -3. Filters the results to include only those groups where the average age is at least 58.78.",4.951921463,DeepSeek-R1-Distill-Llama-70B,493,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) <= 58.78,List the sex which average of age is at most 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006174,"SELECT sex, AVG(age) AS average_age -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78;"," - -To answer the question ""List the sex which average of age is at most 58.78 in table heartAttack,"" we can use the following SQL query: - -```sql -SELECT sex, AVG(age) AS average_age -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78; -``` - -This query: -1. Selects the `sex` column and calculates the average age for each sex. -2. Groups the results by the `sex` column. -3. Filters the results to include only those groups where the average age is less than or equal to 58.78.",5.2918679714,DeepSeek-R1-Distill-Llama-70B,494,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) >= 561.0,List the sex which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006894,"SELECT sex, SUM(age) AS total_age -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0;"," - -To answer the question, we need to write an SQL query that calculates the sum of ages for each sex in the `heartAttack` table and then filters the results to include only those sexes where the sum of ages is at least 561.0. - -Here is the SQL code: - -```sql -SELECT sex, SUM(age) AS total_age -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0; -``` - -This query: -1. Groups the rows in the `heartAttack` table by the `sex` column. -2. Calculates the sum of the `age` column for each group using the `SUM()` function. -3. Filters the results to include only those groups where the sum of ages is at least 561.0 using the `HAVING` clause. -4. Returns the `sex` and the corresponding `total_age` for the filtered groups.",7.1024441719,DeepSeek-R1-Distill-Llama-70B,495,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) <= 561.0,List the sex which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005481,"SELECT sex, SUM(age) AS total_age -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0;"," - -To answer the question ""List the sex which summation of age is at most 561.0 in table heartAttack,"" we can use the following SQL query: - -```sql -SELECT sex, SUM(age) AS total_age -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0; -``` - -This query will: -1. Group the rows in the `heartAttack` table by the `sex` column. -2. Calculate the sum of the `age` column for each group. -3. Filter the results to include only those groups where the sum of `age` is at most 561.0. -4. Return the `sex` and the corresponding `total_age` for those groups.",4.6901276112,DeepSeek-R1-Distill-Llama-70B,496,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `hormonaltherapy`) = (SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`),What are the menopausalstatus with all the hormonaltherapy in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006696,"SELECT menopausalstatus, hormonaltherapy FROM breastCancer;"," - -To fetch the `menopausalstatus` along with the corresponding `hormonaltherapy` from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT menopausalstatus, hormonaltherapy FROM breastCancer; -``` - -This query will return all rows from the `breastCancer` table, showing the `menopausalstatus` and `hormonaltherapy` for each patient.",6.300948143,DeepSeek-R1-Distill-Llama-70B,497,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the menopausalstatus with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004509,"SELECT menopausalstatus, status FROM breastCancer;"," - -To fetch the `menopausalstatus` along with all the `status` entries from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT menopausalstatus, status FROM breastCancer; -```",3.5191130638,DeepSeek-R1-Distill-Llama-70B,498,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the hormonaltherapy with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000594,"SELECT DISTINCT hormonaltherapy, status FROM breastCancer;"," - -To fetch the `hormonaltherapy` along with their corresponding `status` from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT DISTINCT hormonaltherapy, status FROM breastCancer; -``` - -This query will return all unique combinations of `hormonaltherapy` and `status` present in the `breastCancer` table.",5.6129257679,DeepSeek-R1-Distill-Llama-70B,499,0.0,0.5,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `chestpaintype`) = (SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`),What are the sex with all the chestpaintype in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006381,"SELECT sex, chestpaintype -FROM `heartAttack` -WHERE sex IS NOT NULL AND chestpaintype IS NOT NULL;"," - -To fetch the sex with all the chestpaintype in the ""heartAttack"" table, you can use the following SQL query: - -```sql -SELECT sex, chestpaintype -FROM `heartAttack` -WHERE sex IS NOT NULL AND chestpaintype IS NOT NULL; -``` - -This query will return all the rows where both the `sex` and `chestpaintype` columns have non-null values.",5.3274562359,DeepSeek-R1-Distill-Llama-70B,500,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the sex with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006273,"SELECT sex, fastingbloodsugar FROM ""heartAttack"";"," - -To retrieve the sex and corresponding fasting blood sugar values from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT sex, fastingbloodsugar FROM ""heartAttack""; -``` - -This query selects the `sex` and `fastingbloodsugar` columns from the `heartAttack` table, providing the desired information.",5.1060271263,DeepSeek-R1-Distill-Llama-70B,501,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the sex with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005967,"SELECT sex, restingelectrocardiographicrresults FROM ""heartAttack"";"," - -To fetch the sex and resting electrocardiographic results from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT sex, restingelectrocardiographicrresults FROM ""heartAttack""; -``` - -This query selects the `sex` and `restingelectrocardiographicrresults` columns from the `heartAttack` table.",4.553861618,DeepSeek-R1-Distill-Llama-70B,502,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the sex with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000603,"SELECT sex, output FROM heartAttack;"," - -To retrieve the sex and corresponding output from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT sex, output FROM heartAttack; -``` - -This query selects the `sex` and `output` columns from the `heartAttack` table, providing all the sex entries along with their associated outputs.",5.1820042133,DeepSeek-R1-Distill-Llama-70B,503,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the chestpaintype with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006561,"SELECT chestpaintype, fastingbloodsugar FROM heartAttack;"," - -To fetch the `chestpaintype` along with `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT chestpaintype, fastingbloodsugar FROM heartAttack; -``` - -This query will return all rows from the `heartAttack` table, showing the values for `chestpaintype` and `fastingbloodsugar`.",5.5670278072,DeepSeek-R1-Distill-Llama-70B,504,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the chestpaintype with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006129,"SELECT chestpaintype, output FROM heartAttack;"," - -To fetch the `chestpaintype` along with the `output` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT chestpaintype, output FROM heartAttack; -``` - -This query will return all rows from the `heartAttack` table, specifically selecting the `chestpaintype` and `output` columns.",5.1481819153,DeepSeek-R1-Distill-Llama-70B,505,0.0,0.5,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the fastingbloodsugar with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000765,"SELECT fastingbloodsugar, restingelectrocardiographicrresults FROM heartAttack;"," - -To fetch the `fastingbloodsugar` along with the `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, restingelectrocardiographicrresults FROM heartAttack; -``` - -This query will return all rows from the `heartAttack` table with the `fastingbloodsugar` and `restingelectrocardiographicrresults` columns.",6.8022828102,DeepSeek-R1-Distill-Llama-70B,506,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the fastingbloodsugar with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000585,"SELECT fastingbloodsugar, output FROM heartAttack;"," - -To fetch the `fastingbloodsugar` values along with the `output` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, output FROM heartAttack; -``` - -This query will return all rows from the `heartAttack` table, displaying the `fastingbloodsugar` and `output` columns.",4.870565176,DeepSeek-R1-Distill-Llama-70B,507,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the restingelectrocardiographicrresults with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005544,"SELECT restingelectrocardiographicrresults, output -FROM heartAttack;"," - -To fetch the `restingelectrocardiographicrresults` along with all the output from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, output -FROM heartAttack; -``` - -This query selects the `restingelectrocardiographicrresults` and `output` columns from the `heartAttack` table and returns all the rows.",4.5693559647,DeepSeek-R1-Distill-Llama-70B,508,0.0,0.4,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` ASC,Show all data ordered by hormonaltherapy in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005472,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC;"," - -To fetch all data from the `breastCancer` table ordered by the `hormonaltherapy` column in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC; -``` - -This query will: -1. Select all columns (`*`) from the `breastCancer` table. -2. Order the results by the `hormonaltherapy` column in ascending order (`ASC`).",4.3599209785,DeepSeek-R1-Distill-Llama-70B,509,1.0332194484598476,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` DESC,Show all data ordered by hormonaltherapy in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005085,SELECT * FROM breastCancer ORDER BY hormonaltherapy DESC;," - -To fetch all data from the `breastCancer` table ordered by the `hormonaltherapy` column in descending order, you can use the following SQL query: - -```sql -SELECT * FROM breastCancer ORDER BY hormonaltherapy DESC; -```",3.6705646515,DeepSeek-R1-Distill-Llama-70B,510,0.9705294521535398,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` ASC,Show all data ordered by status in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005652,"SELECT * -FROM breastCancer -ORDER BY status ASC;"," - -To fetch all data from the `breastCancer` table ordered by the `status` column in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -ORDER BY status ASC; -```",4.7429516315,DeepSeek-R1-Distill-Llama-70B,511,0.9942623506023549,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` DESC,Show all data ordered by status in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004311,"SELECT * FROM ""breastCancer"" ORDER BY ""status"" DESC;"," - -To fetch all data from the `breastCancer` table ordered by the `status` column in descending order, you can use the following SQL query: - -```sql -SELECT * FROM ""breastCancer"" ORDER BY ""status"" DESC; -```",2.7151489258,DeepSeek-R1-Distill-Llama-70B,512,1.0218829733673673,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` ASC,Project the tumorgrade ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005355,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC;"," - -To project the `tumorgrade` column from the `breastCancer` table in ascending order, you can use the following SQL query: - -```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC; -``` - -This query will: -1. Select the `tumorgrade` column from the `breastCancer` table. -2. Order the results in ascending order based on the `tumorgrade` values.",4.2981638908,DeepSeek-R1-Distill-Llama-70B,513,0.998847725949058,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` DESC,Project the tumorgrade ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000504,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC;"," - -To project the `tumorgrade` column from the `breastCancer` table in descending order, you can use the following SQL query: - -```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC; -``` - -This query will: -1. Select the `tumorgrade` column from the `breastCancer` table. -2. Order the results in descending order based on the `tumorgrade` values.",3.9005708694,DeepSeek-R1-Distill-Llama-70B,514,1.0245491756050233,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` ASC,Project the patientidentifier ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004716,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC;"," - -To project the `patientidentifier` from the `breastCancer` table in ascending order, you can use the following SQL query: - -```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC; -```",3.3214623928,DeepSeek-R1-Distill-Llama-70B,515,1.0045814902790586,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` DESC,Project the patientidentifier ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004077,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC;"," - -To project the `patientidentifier` from the `breastCancer` table in descending order, you can use the following SQL query: - -```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC; -```",2.5089876652,DeepSeek-R1-Distill-Llama-70B,516,1.0028087367670135,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` ASC,Show all data ordered by numberofmajorvvessels in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005067,"SELECT * FROM ""heartAttack"" ORDER BY ""numberofmajorvvessels"" ASC;"," - -To fetch all data from the `heartAttack` table ordered by the `numberofmajorvvessels` column in ascending order, you can use the following SQL query: - -```sql -SELECT * FROM ""heartAttack"" ORDER BY ""numberofmajorvvessels"" ASC; -```",3.4943189621,DeepSeek-R1-Distill-Llama-70B,517,1.0288837279932603,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` DESC,Show all data ordered by numberofmajorvvessels in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005382,SELECT * FROM heartAttack ORDER BY numberofmajorvvessels DESC;," - -To fetch all data from the `heartAttack` table ordered by the `numberofmajorvvessels` column in descending order, you can use the following SQL query: - -```sql -SELECT * FROM heartAttack ORDER BY numberofmajorvvessels DESC; -```",4.2537424564,DeepSeek-R1-Distill-Llama-70B,518,1.0136305977753994,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` ASC,Show all data ordered by restingbloodpressure in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004635,"SELECT * -FROM heartAttack -ORDER BY restingbloodpressure ASC;"," - -To fetch all data from the `heartAttack` table ordered by `restingbloodpressure` in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -ORDER BY restingbloodpressure ASC; -```",3.3130731583,DeepSeek-R1-Distill-Llama-70B,519,1.030881017323778,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` DESC,Show all data ordered by restingbloodpressure in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004923,"SELECT * -FROM heartAttack -ORDER BY restingbloodpressure DESC;"," - -To fetch all data from the `heartAttack` table ordered by `restingbloodpressure` in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -ORDER BY restingbloodpressure DESC; -```",3.6855983734,DeepSeek-R1-Distill-Llama-70B,520,1.0045281949085783,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` ASC,Project the restingelectrocardiographicrresults ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006129,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC;"," - -To project the `restingelectrocardiographicrresults` column from the `heartAttack` table in ascending order, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC; -``` - -This query will: -1. Select the `restingelectrocardiographicrresults` column from the `heartAttack` table. -2. Order the results in ascending order based on the values in the `restingelectrocardiographicrresults` column.",4.4288811684,DeepSeek-R1-Distill-Llama-70B,521,1.0365337841574527,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` DESC,Project the restingelectrocardiographicrresults ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005688,"SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC;"," - -To project the `restingelectrocardiographicrresults` column from the `heartAttack` table in descending order, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC; -```",5.1292471886,DeepSeek-R1-Distill-Llama-70B,522,1.0057199567342932,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` ASC,Project the sex ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005058,"SELECT sex FROM ""heartAttack"" ORDER BY sex ASC;"," - -To project the ""sex"" column from the ""heartAttack"" table in ascending order, you can use the following SQL query: - -```sql -SELECT sex FROM ""heartAttack"" ORDER BY sex ASC; -```",4.5154111385,DeepSeek-R1-Distill-Llama-70B,523,0.9902386451541312,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` DESC,Project the sex ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005598,"SELECT sex FROM ""heartAttack"" ORDER BY sex DESC;"," - -To project the ""sex"" column from the `heartAttack` table in descending order, you can use the following SQL query: - -```sql -SELECT sex FROM ""heartAttack"" ORDER BY sex DESC; -```",5.1453397274,DeepSeek-R1-Distill-Llama-70B,524,1.0197335260615097,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `age` FROM `breastCancer`,Show all age in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004815,SELECT age FROM breastCancer;," - -To fetch all ages from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT age FROM breastCancer; -``` - -This query will return all the age values stored in the `breastCancer` table.",3.8108444214,DeepSeek-R1-Distill-Llama-70B,525,1.0074125832224743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `progesteronereceptor` FROM `breastCancer`,Show all progesteronereceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004941,SELECT progesteronereceptor FROM breastCancer;," - -To fetch all `progesteronereceptor` values from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT progesteronereceptor FROM breastCancer; -```",3.5743057728,DeepSeek-R1-Distill-Llama-70B,526,0.9971836367823879,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `estrogenreceptor` FROM `breastCancer`,Show all estrogenreceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005103,SELECT estrogenreceptor FROM breastCancer;," - -To fetch all the `estrogenreceptor` values from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT estrogenreceptor FROM breastCancer; -``` - -This query will return all the values in the `estrogenreceptor` column of the `breastCancer` table.",4.0876352787,DeepSeek-R1-Distill-Llama-70B,527,1.0420283155699495,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004797,"SELECT ""status"" FROM breastCancer;"," - -To fetch all the status entries from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT ""status"" FROM breastCancer; -``` - -This query will return all the values in the `status` column of the `breastCancer` table.",3.6719243526,DeepSeek-R1-Distill-Llama-70B,528,1.0166791582069417,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `patientidentifier` FROM `breastCancer`,Show all patientidentifier in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005175,SELECT patientidentifier FROM breastCancer;," - -To fetch all `patientidentifier` from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT patientidentifier FROM breastCancer; -```",3.972928524,DeepSeek-R1-Distill-Llama-70B,529,0.9967324355216913,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-ALL,SELECT * FROM `breastCancer`,Show all the rows in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005706,SELECT * FROM breastCancer;," - -To show all the rows in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT * FROM breastCancer; -``` - -This query will return all columns (`*`) for every row in the `breastCancer` table.",4.3331830502,DeepSeek-R1-Distill-Llama-70B,530,1.0353634647512209,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004797,"SELECT ""status"" FROM breastCancer;"," - -To fetch all the status entries from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT ""status"" FROM breastCancer; -``` - -This query will return all the values in the `status` column of the `breastCancer` table.",3.7469568253,DeepSeek-R1-Distill-Llama-70B,531,1.00137203097662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `tumorgrade` FROM `breastCancer`","Show all estrogenreceptor, tumorgrade in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000576,"SELECT estrogenreceptor, tumorgrade FROM breastCancer;"," - -To fetch the `estrogenreceptor` and `tumorgrade` from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT estrogenreceptor, tumorgrade FROM breastCancer; -``` - -This query will return all rows in the `breastCancer` table, showing only the `estrogenreceptor` and `tumorgrade` columns.",4.633923769,DeepSeek-R1-Distill-Llama-70B,532,1.0747820520789078,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `hormonaltherapy`, `patientidentifier`, `numberpositivelymphnodes` FROM `breastCancer`","Show all hormonaltherapy, patientidentifier, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005805,"SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer;"," - -To fetch the required information from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes -FROM breastCancer; -``` - -This query will return all rows from the `breastCancer` table, displaying the values for the columns `hormonaltherapy`, `patientidentifier`, and `numberpositivelymphnodes`.",4.2357358932,DeepSeek-R1-Distill-Llama-70B,533,1.0039475634412585,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, `age` FROM `breastCancer`","Show all numberpositivelymphnodes, patientidentifier, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005607,"SELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age -FROM breastCancer;"," - -To fetch the desired information from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age -FROM breastCancer; -``` - -This query will return all rows from the `breastCancer` table, displaying the columns `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, and `age`.",4.0139255524,DeepSeek-R1-Distill-Llama-70B,534,0.9945139509141319,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, `age` FROM `breastCancer`","Show all estrogenreceptor, status, menopausalstatus, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000603,"SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age FROM breastCancer;"," - -To fetch the required information from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age FROM breastCancer; -``` - -This query will return all rows with the specified columns (`estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, and `age`) from the `breastCancer` table.",4.3846518993,DeepSeek-R1-Distill-Llama-70B,535,1.025693661523355,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `patientidentifier`, `hormonaltherapy`, `status`, `age`, `menopausalstatus`, `tumorsize` FROM `breastCancer`","Show all patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004887,"SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer;"," - -To fetch the specified columns from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize -FROM breastCancer; -```",3.5696446896,DeepSeek-R1-Distill-Llama-70B,536,1.0347967625517336,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age` FROM `breastCancer`","Show all tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000594,"SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age -FROM breastCancer;"," - -To fetch the specified columns from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age -FROM breastCancer; -``` - -This query will return all the records from the `breastCancer` table with the columns: `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, and `age`.",4.2349467278,DeepSeek-R1-Distill-Llama-70B,537,1.0200594629870035,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, `hormonaltherapy` FROM `breastCancer`","Show all tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005562,"SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy -FROM breastCancer;"," - -To fetch the specified columns from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy -FROM breastCancer; -``` - -This query will return all rows from the `breastCancer` table with the columns: `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, and `hormonaltherapy`.",3.8664014339,DeepSeek-R1-Distill-Llama-70B,538,1.0104779128346275,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorsize`, `hormonaltherapy`, `age`, `status`, `tumorgrade`, `menopausalstatus`, `progesteronereceptor`, `estrogenreceptor`, `numberpositivelymphnodes` FROM `breastCancer`","Show all tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005877,"SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes -FROM breastCancer;"," - -To fetch the specified columns from the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes -FROM breastCancer; -```",4.199754715,DeepSeek-R1-Distill-Llama-70B,539,1.0635233161582909,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingelectrocardiographicrresults` FROM `heartAttack`,Show all restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004824,SELECT restingelectrocardiographicrresults FROM heartAttack;," - -To fetch all `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults FROM heartAttack; -``` - -This query will return all the values in the `restingelectrocardiographicrresults` column of the `heartAttack` table.",3.243370533,DeepSeek-R1-Distill-Llama-70B,540,0.994062259280944,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `fastingbloodsugar` FROM `heartAttack`,Show all fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005931,SELECT fastingbloodsugar FROM heartAttack;," - -To fetch all `fastingbloodsugar` values from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar FROM heartAttack; -```",4.9715328217,DeepSeek-R1-Distill-Llama-70B,541,1.0378542559911894,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `thall` FROM `heartAttack`,Show all thall in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000549,SELECT thall FROM heartAttack;," - -To fetch all values in the `thall` column from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT thall FROM heartAttack; -```",4.5337381363,DeepSeek-R1-Distill-Llama-70B,542,0.9872334078284063,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005049,SELECT restingbloodpressure FROM heartAttack;," - -To fetch all `restingbloodpressure` values from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingbloodpressure FROM heartAttack; -```",3.582410574,DeepSeek-R1-Distill-Llama-70B,543,0.9993427508554944,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `numberofmajorvvessels` FROM `heartAttack`,Show all numberofmajorvvessels in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005697,SELECT numberofmajorvvessels FROM heartAttack;," - -To fetch all the values in the `numberofmajorvvessels` column from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT numberofmajorvvessels FROM heartAttack; -```",4.8332629204,DeepSeek-R1-Distill-Llama-70B,544,1.0035020196355204,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-ALL,SELECT * FROM `heartAttack`,Show all the rows in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005301,SELECT * FROM heartAttack;," - -To show all the rows in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT * FROM heartAttack; -``` - -This query will return all columns (`*`) for every row in the `heartAttack` table.",4.1958014965,DeepSeek-R1-Distill-Llama-70B,545,0.9927264700186935,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005193,SELECT restingbloodpressure FROM heartAttack;," - -To fetch all `restingbloodpressure` values from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingbloodpressure FROM heartAttack; -```",4.0194354057,DeepSeek-R1-Distill-Llama-70B,546,1.0088164460839404,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `thall` FROM `heartAttack`","Show all restingbloodpressure, thall in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004806,"SELECT restingbloodpressure, thall FROM heartAttack;"," - -To fetch the `restingbloodpressure` and `thall` columns from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingbloodpressure, thall FROM heartAttack; -```",3.5125918388,DeepSeek-R1-Distill-Llama-70B,547,1.0062499490054,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `sex`, `fastingbloodsugar` FROM `heartAttack`","Show all restingbloodpressure, sex, fastingbloodsugar in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005778,"SELECT restingbloodpressure, sex, fastingbloodsugar FROM heartAttack;"," - -To fetch the `restingbloodpressure`, `sex`, and `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingbloodpressure, sex, fastingbloodsugar FROM heartAttack; -```",4.8994603157,DeepSeek-R1-Distill-Llama-70B,548,1.0247265406215327,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `thall`, `sex`, `numberofmajorvvessels`, `age` FROM `heartAttack`","Show all thall, sex, numberofmajorvvessels, age in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005544,"SELECT thall, sex, numberofmajorvvessels, age FROM heartAttack;"," - -To fetch the specified columns (`thall`, `sex`, `numberofmajorvvessels`, and `age`) from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT thall, sex, numberofmajorvvessels, age FROM heartAttack; -```",4.3028328419,DeepSeek-R1-Distill-Llama-70B,549,1.0449114385027019,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, `numberofmajorvvessels` FROM `heartAttack`","Show all restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006678,"SELECT restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels -FROM heartAttack;"," - -To fetch the specified columns from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels -FROM heartAttack; -``` - -This query selects the columns `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, and `numberofmajorvvessels` from the `heartAttack` table.",5.4984560013,DeepSeek-R1-Distill-Llama-70B,550,1.019977064782389,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg` FROM `heartAttack`","Show all sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005571,"SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg -FROM heartAttack;"," - -To fetch the specified columns from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg -FROM heartAttack; -```",4.3153352737,DeepSeek-R1-Distill-Llama-70B,551,1.0551041015038625,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `restingbloodpressure`, `age`, `fastingbloodsugar`, `sex`, `cholestoralinmg`, `restingelectrocardiographicrresults` FROM `heartAttack`","Show all numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005985,"SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults -FROM heartAttack;"," - -To fetch the desired data from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults -FROM heartAttack; -``` - -This SQL code selects the specified columns from the `heartAttack` table and returns all the rows.",4.7741544247,DeepSeek-R1-Distill-Llama-70B,552,1.0010476167093034,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, `sex` FROM `heartAttack`","Show all numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006318,"SELECT numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex -FROM heartAttack;"," - -To fetch the specified columns from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex -FROM heartAttack; -``` - -This query will return all rows from the `heartAttack` table with the columns: `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, and `sex`.",4.6477057934,DeepSeek-R1-Distill-Llama-70B,553,1.0178372459600904,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `chestpaintype`, `sex`, `fastingbloodsugar`, `restingelectrocardiographicrresults`, `thall`, `numberofmajorvvessels`, `age`, `output`, `restingbloodpressure` FROM `heartAttack`","Show all chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000711,"SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure -FROM heartAttack;"," - -To fetch the specified columns from the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure -FROM heartAttack; -``` - -This query will return all the rows in your table with the selected columns.",5.9725310802,DeepSeek-R1-Distill-Llama-70B,554,1.0030227929437108,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` == 'postmenopausal',Show the data of the table breastCancer where menopausalstatus is equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005742,"SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal';"," - -To fetch the data from the `breastCancer` table where `menopausalstatus` is equal to 'postmenopausal', you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal'; -```",5.0746805668,DeepSeek-R1-Distill-Llama-70B,555,1.0249639197666112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'premenopausal',Show the data of the table breastCancer where menopausalstatus is different from premenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005742,"SELECT * -FROM breastCancer -WHERE menopausalstatus != 'premenopausal';"," - -To fetch the data from the `breastCancer` table where the `menopausalstatus` is different from ""premenopausal,"" you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus != 'premenopausal'; -``` - -This query will return all rows from the `breastCancer` table where the `menopausalstatus` column does not contain the value ""premenopausal.""",4.3711168766,DeepSeek-R1-Distill-Llama-70B,556,1.001775730471652,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'postmenopausal',Show the data of the table breastCancer where menopausalstatus not equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005472,"SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal';"," - -To fetch the data from the `breastCancer` table where `menopausalstatus` is not equal to 'postmenopausal', you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal'; -```",4.4367039204,DeepSeek-R1-Distill-Llama-70B,557,1.0113640590799982,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` == 'yes',Show the data of the table breastCancer where hormonaltherapy is equal to yes,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005184,SELECT * FROM breastCancer WHERE hormonaltherapy = 'yes';," - -To fetch the data from the `breastCancer` table where `hormonaltherapy` is equal to 'yes', you can use the following SQL query: - -```sql -SELECT * FROM breastCancer WHERE hormonaltherapy = 'yes'; -```",4.1092224121,DeepSeek-R1-Distill-Llama-70B,558,1.0032747277681076,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy is different from no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004842,"SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no';"," - -To fetch the data from the `breastCancer` table where the `hormonaltherapy` is different from 'no', you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no'; -```",3.6007471085,DeepSeek-R1-Distill-Llama-70B,559,1.0499455174214747,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy not equal to no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004968,"SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no';"," - -To fetch the data from the `breastCancer` table where the `hormonaltherapy` column is not equal to 'no', you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no'; -```",3.713814497,DeepSeek-R1-Distill-Llama-70B,560,1.0051630853669655,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `status` == 'recurrenceOrDeath',Show the data of the table breastCancer where status is equal to recurrenceOrDeath,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005256,"SELECT * -FROM breastCancer -WHERE status = 'recurrenceOrDeath';"," - -To fetch the data from the `breastCancer` table where the `status` is equal to `'recurrenceOrDeath'`, you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -WHERE status = 'recurrenceOrDeath'; -```",4.0161046982,DeepSeek-R1-Distill-Llama-70B,561,1.0424823104810315,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status is different from aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006318,SELECT * FROM breastCancer WHERE status <> 'aliveWithoutRecurrence';," - -To fetch the data from the `breastCancer` table where the `status` is different from ""aliveWithoutRecurrence"", you can use the following SQL query: - -```sql -SELECT * FROM breastCancer WHERE status <> 'aliveWithoutRecurrence'; -``` - -This query will return all rows from the `breastCancer` table where the `status` column does not contain the value ""aliveWithoutRecurrence"".",5.4032669067,DeepSeek-R1-Distill-Llama-70B,562,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status not equal to aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005409,"SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence';"," - -To fetch the data from the `breastCancer` table where the `status` is not equal to 'aliveWithoutRecurrence', you can use the following SQL query: - -```sql -SELECT * -FROM breastCancer -WHERE status <> 'aliveWithoutRecurrence'; -```",4.4228851795,DeepSeek-R1-Distill-Llama-70B,563,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `age` > 32,Show the data of the table breastCancer where age is greater than 32,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006525,SELECT * FROM breastCancer WHERE age > 32;," - -To fetch the data from the `breastCancer` table where the age is greater than 32, you can use the following SQL query: - -```sql -SELECT * FROM breastCancer WHERE age > 32; -```",5.4637081623,DeepSeek-R1-Distill-Llama-70B,564,0.9793121896092152,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `progesteronereceptor` < 239,Show the data of the table breastCancer where progesteronereceptor is less than 239,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005931,SELECT * FROM breastCancer WHERE progesteronereceptor < 239;," - -```sql -SELECT * FROM breastCancer WHERE progesteronereceptor < 239; -```",5.0244820118,DeepSeek-R1-Distill-Llama-70B,565,1.0202507710237356,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` == 'nonAnginalPain',Show the data of the table heartAttack where chestpaintype is equal to nonAnginalPain,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005427,"SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain';"," - -To fetch the data from the `heartAttack` table where `chestpaintype` is equal to ""nonAnginalPain"", you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain'; -``` - -This query will return all rows from the `heartAttack` table where the `chestpaintype` column is ""nonAnginalPain"".",4.9432396889,DeepSeek-R1-Distill-Llama-70B,566,1.043931873965392,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'asymptomatic',Show the data of the table heartAttack where chestpaintype is different from asymptomatic,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005643,"SELECT * -FROM heartAttack -WHERE chestpaintype != 'asymptomatic';"," - -To fetch the data from the `heartAttack` table where the `chestpaintype` is different from ""asymptomatic"", you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE chestpaintype != 'asymptomatic'; -```",4.5967679024,DeepSeek-R1-Distill-Llama-70B,567,1.0209772681297078,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'typicalAngina',Show the data of the table heartAttack where chestpaintype not equal to typicalAngina,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006237,SELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina';," - -To fetch the data from the `heartAttack` table where `chestpaintype` is not equal to 'typicalAngina', you can use the following SQL query: - -```sql -SELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina'; -```",5.4238433838,DeepSeek-R1-Distill-Llama-70B,568,1.006415516265046,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` == 'leftVentricularHypertrophy',Show the data of the table heartAttack where restingelectrocardiographicrresults is equal to leftVentricularHypertrophy,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006003,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';"," - -To fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is equal to `'leftVentricularHypertrophy'`, you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy'; -```",4.9057633877,DeepSeek-R1-Distill-Llama-70B,569,0.975814388097303,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'normal',Show the data of the table heartAttack where restingelectrocardiographicrresults is different from normal,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006066,SELECT * FROM heartAttack WHERE restingelectrocardiographicrresults != 'normal';," - -To fetch the data from the `heartAttack` table where the `restingelectrocardiographicrresults` is different from ""normal"", you can use the following SQL query: - -```sql -SELECT * FROM heartAttack WHERE restingelectrocardiographicrresults != 'normal'; -```",5.0721793175,DeepSeek-R1-Distill-Llama-70B,570,1.0447496435810273,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'STTWaveAbnormality',Show the data of the table heartAttack where restingelectrocardiographicrresults not equal to STTWaveAbnormality,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006228,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'STTWaveAbnormality';"," - -To fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is not equal to ""STTWaveAbnormality"", you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'STTWaveAbnormality'; -```",4.8910152912,DeepSeek-R1-Distill-Llama-70B,571,1.0140353081622517,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` == 'noHeartAttack',Show the data of the table heartAttack where output is equal to noHeartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005616,"SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack';"," - -To fetch the data from the `heartAttack` table where the `output` is equal to `'noHeartAttack'`, you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack'; -```",4.557464838,DeepSeek-R1-Distill-Llama-70B,572,0.9984694587696661,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output is different from heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000549,"SELECT * -FROM heartAttack -WHERE output != 'heartAttack';"," - -To fetch the data from the `heartAttack` table where the `output` is different from ""heartAttack"", you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE output != 'heartAttack'; -``` - -This query will return all rows from the `heartAttack` table where the value in the `output` column is not equal to ""heartAttack"".",5.2945661545,DeepSeek-R1-Distill-Llama-70B,573,1.039586413685614,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output not equal to heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006525,"SELECT * FROM ""heartAttack"" WHERE ""output"" != 'heartAttack';"," - -To fetch the data from the `heartAttack` table where the `output` column is not equal to ""heartAttack"", you can use the following SQL query: - -```sql -SELECT * FROM ""heartAttack"" WHERE ""output"" != 'heartAttack'; -```",5.6964507103,DeepSeek-R1-Distill-Llama-70B,574,0.9945927581512728,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `numberofmajorvvessels` > 2,Show the data of the table heartAttack where numberofmajorvvessels is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006741,SELECT * FROM heartAttack WHERE numberofmajorvvessels > 2;," - -To fetch the data from the `heartAttack` table where `numberofmajorvvessels` is greater than 2, you can use the following SQL query: - -```sql -SELECT * FROM heartAttack WHERE numberofmajorvvessels > 2; -```",5.7117476463,DeepSeek-R1-Distill-Llama-70B,575,1.0448077994655025,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` > 197,Show the data of the table heartAttack where cholestoralinmg is greater than 197,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005985,"SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197;"," - -To fetch the data from the `heartAttack` table where `cholestoralinmg` is greater than 197, you can use the following SQL query: - -```sql -SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197; -``` - -This query will return all rows from the `heartAttack` table where the value in the `cholestoralinmg` column is greater than 197.",4.7634570599,DeepSeek-R1-Distill-Llama-70B,576,1.0044486910723691,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` < 211,Show the data of the table heartAttack where cholestoralinmg is less than 211,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006192,SELECT * FROM heartAttack WHERE cholestoralinmg < 211;," - -```sql -SELECT * FROM heartAttack WHERE cholestoralinmg < 211; -```",5.1088294983,DeepSeek-R1-Distill-Llama-70B,577,0.9971679378843098,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `thall` > 2,Show the data of the table heartAttack where thall is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005805,SELECT * FROM heartAttack WHERE thall > 2;," - -To fetch the data from the `heartAttack` table where the `thall` column is greater than 2, you can use the following SQL query: - -```sql -SELECT * FROM heartAttack WHERE thall > 2; -```",4.6662881374,DeepSeek-R1-Distill-Llama-70B,578,1.010749619049949,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `menopausalstatus`) FROM `breastCancer`,How many different menopausalstatus are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004986,SELECT COUNT(DISTINCT menopausalstatus) FROM breastCancer;," - -To determine how many different `menopausalstatus` values are present in the `breastCancer` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT menopausalstatus) FROM breastCancer; -``` - -This query will return the number of unique `menopausalstatus` values in your table.",4.2655022144,DeepSeek-R1-Distill-Llama-70B,579,0.9967367156996689,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`,How many different hormonaltherapy are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004914,"SELECT COUNT(DISTINCT hormonaltherapy) -FROM breastCancer;"," - -To determine how many different types of hormonal therapies are present in the `breastCancer` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT hormonaltherapy) -FROM breastCancer; -```",3.7294645309,DeepSeek-R1-Distill-Llama-70B,580,1.0038125115082908,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `status`) FROM `breastCancer`,How many different status are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005103,"SELECT COUNT(DISTINCT ""status"") FROM ""breastCancer"";"," - -To determine how many different statuses are in the `breastCancer` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT ""status"") FROM ""breastCancer""; -```",3.7163496017,DeepSeek-R1-Distill-Llama-70B,581,1.0225919885831007,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`progesteronereceptor`) FROM `breastCancer`,Find the maximum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004311,SELECT MAX(progesteronereceptor) FROM breastCancer;," - -To find the maximum value of the `progesteronereceptor` column in the `breastCancer` table, you can use the SQL `MAX()` function. Here is the SQL code: - -```sql -SELECT MAX(progesteronereceptor) FROM breastCancer; -```",2.9542138577,DeepSeek-R1-Distill-Llama-70B,582,1.0242486452503066,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`progesteronereceptor`) FROM `breastCancer`,Find the minimum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004788,SELECT MIN(progesteronereceptor) FROM breastCancer;," - -To find the minimum value of the `progesteronereceptor` column in the `breastCancer` table, you can use the SQL `MIN()` function. Here is the SQL code: - -```sql -SELECT MIN(progesteronereceptor) FROM breastCancer; -```",3.3689153194,DeepSeek-R1-Distill-Llama-70B,583,1.043104163501257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`progesteronereceptor`) FROM `breastCancer`,Find the average progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005715,"SELECT AVG(progesteronereceptor) AS average_progesterone_receptor -FROM breastCancer;"," - -To find the average value of the `progesteronereceptor` column in the `breastCancer` table, you can use the SQL `AVG()` function. Here is the SQL code: - -```sql -SELECT AVG(progesteronereceptor) AS average_progesterone_receptor -FROM breastCancer; -``` - -This query will calculate and return the average value of the `progesteronereceptor` column in your `breastCancer` table.",4.4107129574,DeepSeek-R1-Distill-Llama-70B,584,1.0013825788329664,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`estrogenreceptor`) FROM `breastCancer`,Find the maximum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005211,"SELECT MAX(estrogenreceptor) AS maximum_estrogenreceptor -FROM breastCancer;"," - -To find the maximum value of the `estrogenreceptor` column in the `breastCancer` table, you can use the SQL `MAX()` function. Here's the SQL code: - -```sql -SELECT MAX(estrogenreceptor) AS maximum_estrogenreceptor -FROM breastCancer; -``` - -This query will return the highest value in the `estrogenreceptor` column of your `breastCancer` table.",4.5185072422,DeepSeek-R1-Distill-Llama-70B,585,1.066263458655541,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`estrogenreceptor`) FROM `breastCancer`,Find the minimum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005616,SELECT MIN(estrogenreceptor) FROM breastCancer;," - -To find the minimum value of the `estrogenreceptor` column in the `breastCancer` table, you can use the SQL `MIN()` function. Here is the SQL code: - -```sql -SELECT MIN(estrogenreceptor) FROM breastCancer; -```",4.7029094696,DeepSeek-R1-Distill-Llama-70B,586,1.0059201944015024,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`estrogenreceptor`) FROM `breastCancer`,Find the average estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004833,SELECT AVG(estrogenreceptor) FROM breastCancer;," - -To find the average value of the `estrogenreceptor` column in the `breastCancer` table, you can use the SQL `AVG()` function. Here's the SQL code: - -```sql -SELECT AVG(estrogenreceptor) FROM breastCancer; -```",3.4803304672,DeepSeek-R1-Distill-Llama-70B,587,0.9997914533190715,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `sex`) FROM `heartAttack`,How many different sex are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004914,"SELECT COUNT(DISTINCT ""sex"") FROM ""heartAttack"";"," - -To determine how many different sexes are present in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT ""sex"") FROM ""heartAttack""; -``` - -This query will count the number of unique values in the `sex` column of the `heartAttack` table.",4.1231648922,DeepSeek-R1-Distill-Llama-70B,588,1.0168630396942486,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`,How many different chestpaintype are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005292,SELECT COUNT(DISTINCT chestpaintype) FROM heartAttack;," - -To determine how many different `chestpaintype` values exist in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT chestpaintype) FROM heartAttack; -``` - -This query will return the number of unique `chestpaintype` values in your `heartAttack` table.",4.1130576134,DeepSeek-R1-Distill-Llama-70B,589,0.9931481731001677,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`,How many different fastingbloodsugar are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005571,SELECT COUNT(DISTINCT fastingbloodsugar) FROM heartAttack;," - -To determine how many different `fastingbloodsugar` values exist in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT fastingbloodsugar) FROM heartAttack; -``` - -This query will return the number of unique values in the `fastingbloodsugar` column of the `heartAttack` table.",5.221988678,DeepSeek-R1-Distill-Llama-70B,590,1.0042820132776562,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`,How many different restingelectrocardiographicrresults are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0006525,"SELECT COUNT(DISTINCT restingelectrocardiographicrresults) -FROM heartAttack;"," - -To determine how many different `restingelectrocardiographicrresults` are in the `heartAttack` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT restingelectrocardiographicrresults) -FROM heartAttack; -``` - -This query will return the number of unique values in the `restingelectrocardiographicrresults` column of the `heartAttack` table.",5.3748517036,DeepSeek-R1-Distill-Llama-70B,591,0.9966075156561717,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `output`) FROM `heartAttack`,How many different output are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000477,"SELECT COUNT(DISTINCT ""output"") FROM ""heartAttack"";"," - -To determine how many different outputs are in the `heartAttack` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT ""output"") FROM ""heartAttack""; -```",4.2658138275,DeepSeek-R1-Distill-Llama-70B,592,1.009180277550447,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`numberofmajorvvessels`) FROM `heartAttack`,Find the maximum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005436,"SELECT MAX(""numberofmajorvvessels"") FROM ""heartAttack"";"," - -To find the maximum number of major vessels in the `heartAttack` table, you can use the SQL `MAX()` function. Here's the SQL code: - -```sql -SELECT MAX(""numberofmajorvvessels"") FROM ""heartAttack""; -``` - -This query will return the maximum value in the `numberofmajorvvessels` column of the `heartAttack` table.",4.5074093342,DeepSeek-R1-Distill-Llama-70B,593,0.9956558152680068,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`numberofmajorvvessels`) FROM `heartAttack`,Find the minimum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005472,"SELECT MIN(""numberofmajorvvessels"") FROM heartAttack;"," - -To find the minimum number of major vessels in the `heartAttack` table, you can use the SQL `MIN()` function. Here's how you can do it: - -```sql -SELECT MIN(""numberofmajorvvessels"") FROM heartAttack; -``` - -This query will return the smallest value in the `numberofmajorvvessels` column of your `heartAttack` table.",4.7221159935,DeepSeek-R1-Distill-Llama-70B,594,1.0594286366014323,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`numberofmajorvvessels`) FROM `heartAttack`,Find the average numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004986,SELECT AVG(numberofmajorvvessels) FROM heartAttack;," - -To find the average number of major vessels for the table `heartAttack`, you can use the SQL `AVG()` function. Here's the SQL code: - -```sql -SELECT AVG(numberofmajorvvessels) FROM heartAttack; -```",3.9185655117,DeepSeek-R1-Distill-Llama-70B,595,1.0096346060464587,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`thall`) FROM `heartAttack`,Find the maximum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0005391,SELECT MAX(thall) FROM heartAttack;," - -To find the maximum value of the `thall` column in the `heartAttack` table, you can use the SQL `MAX()` function. Here is the SQL code: - -```sql -SELECT MAX(thall) FROM heartAttack; -```",4.4078090191,DeepSeek-R1-Distill-Llama-70B,596,1.0097459835896645,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`thall`) FROM `heartAttack`,Find the minimum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004635,SELECT MIN(thall) FROM heartAttack;," - -To find the minimum value of the `thall` column in the `heartAttack` table, you can use the SQL `MIN()` function. Here is the SQL code: - -```sql -SELECT MIN(thall) FROM heartAttack; -```",3.7397060394,DeepSeek-R1-Distill-Llama-70B,597,1.062222702165151,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`thall`) FROM `heartAttack`,Find the average thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004752,SELECT AVG(thall) AS average_thall FROM heartAttack;," - -To find the average value of the `thall` column in the `heartAttack` table, you can use the SQL `AVG()` function. Here is the SQL code: - -```sql -SELECT AVG(thall) AS average_thall FROM heartAttack; -``` - -This query will calculate and return the average value of the `thall` column in your `heartAttack` table.",4.0101630688,DeepSeek-R1-Distill-Llama-70B,598,0.9944881889581572,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `nativecountry` FROM `adultCensus`,Show the different nativecountry in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004869,SELECT DISTINCT nativecountry FROM adultCensus;," - -To fetch the different `nativecountry` values from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT nativecountry FROM adultCensus; -``` - -This query will return all unique values in the `nativecountry` column of the `adultCensus` table.",4.1437966824,DeepSeek-R1-Distill-Llama-70B,599,1.0802721019646329,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `adultCensus`,Show the different sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005472,SELECT DISTINCT sex FROM adultCensus;," - -To show the different sexes in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT sex FROM adultCensus; -``` - -This query will return all unique values in the `sex` column of the `adultCensus` table.",5.1239171028,DeepSeek-R1-Distill-Llama-70B,600,1.0102976880912178,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `race` FROM `adultCensus`,Show the different race in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000414,SELECT DISTINCT race FROM adultCensus;," - -To show the different races in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT race FROM adultCensus; -``` - -This query will return all unique values in the `race` column of the `adultCensus` table.",3.3806090355,DeepSeek-R1-Distill-Llama-70B,601,1.0043728332463482,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `workclass` FROM `adultCensus`,Show the different workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004878,SELECT DISTINCT workclass FROM adultCensus;," - -To show the different `workclass` values in the `adultCensus` table, you can use the `DISTINCT` keyword in SQL to fetch unique values from the `workclass` column. Here is the SQL code: - -```sql -SELECT DISTINCT workclass FROM adultCensus; -```",4.2580120564,DeepSeek-R1-Distill-Llama-70B,602,1.0563909394803248,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `income` FROM `adultCensus`,Show the different income in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004716,SELECT DISTINCT income FROM adultCensus;," - -To show the different income values in the `adultCensus` table, you can use the `SELECT DISTINCT` statement to retrieve unique values from the `income` column. - -```sql -SELECT DISTINCT income FROM adultCensus; -```",3.7522046566,DeepSeek-R1-Distill-Llama-70B,603,1.0014649204060622,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `odor` FROM `mushrooms`,Show the different odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004473,SELECT DISTINCT odor FROM mushrooms;," - -To fetch the different types of odors from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT odor FROM mushrooms; -``` - -This query will return all unique values in the `odor` column of the `mushrooms` table.",3.7636561394,DeepSeek-R1-Distill-Llama-70B,604,1.0082248222051684,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillspacing` FROM `mushrooms`,Show the different gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004896,SELECT DISTINCT gillspacing FROM mushrooms;," - -To show the different gillspacing in the mushrooms table, you can use the following SQL query: - -```sql -SELECT DISTINCT gillspacing FROM mushrooms; -``` - -This query will return all unique values in the `gillspacing` column of the `mushrooms` table.",4.1536297798,DeepSeek-R1-Distill-Llama-70B,605,1.0163824008591489,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capshape` FROM `mushrooms`,Show the different capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000468,SELECT DISTINCT capshape FROM mushrooms;," - -To show the different `capshape` values in the `mushrooms` table, you can use the `SELECT DISTINCT` statement to retrieve unique values from the `capshape` column. - -```sql -SELECT DISTINCT capshape FROM mushrooms; -```",3.8741278648,DeepSeek-R1-Distill-Llama-70B,606,0.9974935247571662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillsize` FROM `mushrooms`,Show the different gillsize in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005184,SELECT DISTINCT gillsize FROM mushrooms;," - -To fetch the different gill sizes from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT gillsize FROM mushrooms; -``` - -This query will return all unique values in the `gillsize` column of the `mushrooms` table.",4.641522646,DeepSeek-R1-Distill-Llama-70B,607,1.0038708993325995,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capsurface` FROM `mushrooms`,Show the different capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004473,SELECT DISTINCT capsurface FROM mushrooms;," - -To show the different `capsurface` values in the `mushrooms` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here is the SQL code: - -```sql -SELECT DISTINCT capsurface FROM mushrooms; -```",3.8818171024,DeepSeek-R1-Distill-Llama-70B,608,1.0416108035219642,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `education`, COUNT(*) FROM `adultCensus` GROUP BY `education`","For each education, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005247,"SELECT - education, - COUNT(*) AS row_count -FROM - adultCensus -GROUP BY - education -ORDER BY - row_count DESC;"," - -To count the number of rows for each education level in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - education, - COUNT(*) AS row_count -FROM - adultCensus -GROUP BY - education -ORDER BY - row_count DESC; -``` - -This query: -1. Selects the `education` column and counts the number of rows for each education level. -2. Groups the results by the `education` column. -3. Orders the results by the count in descending order (optional, but useful for readability). - -You can remove the `ORDER BY` clause if you don't need the results sorted by count.",5.6921160221,DeepSeek-R1-Distill-Llama-70B,609,0.9619537824485238,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `maritalstatus`, COUNT(*) FROM `adultCensus` GROUP BY `maritalstatus`","For each maritalstatus, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004779,"SELECT maritalstatus, COUNT(*) AS count -FROM adultCensus -GROUP BY maritalstatus;"," - -To count the number of rows for each `maritalstatus` in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT maritalstatus, COUNT(*) AS count -FROM adultCensus -GROUP BY maritalstatus; -``` - -This query will: -1. Select the `maritalstatus` column -2. Count the number of rows for each `maritalstatus` using `COUNT(*)` -3. Group the results by the `maritalstatus` column -4. Return the results with the count for each marital status",3.8422560692,DeepSeek-R1-Distill-Llama-70B,610,0.99119993952687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `race`, COUNT(*) FROM `adultCensus` GROUP BY `race`","For each race, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004599,"SELECT race, COUNT(*) AS count_of_rows -FROM adultCensus -GROUP BY race;"," - -To count the number of rows in the `adultCensus` table for each race, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `race` column. - -```sql -SELECT race, COUNT(*) AS count_of_rows -FROM adultCensus -GROUP BY race; -```",4.197309494,DeepSeek-R1-Distill-Llama-70B,611,1.0491331823418677,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `nativecountry`, COUNT(*) FROM `adultCensus` GROUP BY `nativecountry`","For each nativecountry, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000612,"SELECT nativecountry, COUNT(*) AS count -FROM adultCensus -GROUP BY nativecountry -ORDER BY count DESC;"," - -To count the number of rows for each `nativecountry` in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT nativecountry, COUNT(*) AS count -FROM adultCensus -GROUP BY nativecountry -ORDER BY count DESC; -``` - -This query will: -1. Group the rows in the `adultCensus` table by the `nativecountry` column. -2. Count the number of rows for each `nativecountry`. -3. Return the results sorted by the count in descending order (from highest to lowest).",6.1953382492,DeepSeek-R1-Distill-Llama-70B,612,1.0169858069258235,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `workclass`, COUNT(*) FROM `adultCensus` GROUP BY `workclass`","For each workclass, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006165,"SELECT workclass, COUNT(*) AS count_of_rows -FROM adultCensus -GROUP BY workclass;"," - -To count the number of rows for each `workclass` in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT workclass, COUNT(*) AS count_of_rows -FROM adultCensus -GROUP BY workclass; -``` - -This query will: -1. Group all rows in the `adultCensus` table by the `workclass` column. -2. Count the number of rows in each group using `COUNT(*)`. -3. Return the `workclass` and the corresponding count of rows for each group.",5.2635672092,DeepSeek-R1-Distill-Llama-70B,613,1.003007261762373,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `race`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005508,"SELECT race, MIN(hoursperweek) -FROM adultCensus -GROUP BY race;"," - -To find the minimum `hoursperweek` for each `race` in the `adultCensus` table, you can use the SQL `MIN` function combined with a `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT race, MIN(hoursperweek) -FROM adultCensus -GROUP BY race; -```",5.1329374313,DeepSeek-R1-Distill-Llama-70B,614,1.0314150761534748,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `race`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004851,"SELECT race, MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus -GROUP BY race;"," - -To find the maximum `hoursperweek` for each `race` in the `adultCensus` table, you can use the SQL `MAX` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT race, MAX(hoursperweek) AS max_hoursperweek -FROM adultCensus -GROUP BY race; -``` - -This query will return the maximum `hoursperweek` value for each distinct `race` in the `adultCensus` table.",4.2961952686,DeepSeek-R1-Distill-Llama-70B,615,1.0097799764058388,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `race`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005589,"SELECT race, AVG(hoursperweek) AS average_hours_per_week -FROM adultCensus -GROUP BY race;"," - -To find the average `hoursperweek` for each `race` in the `adultCensus` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT race, AVG(hoursperweek) AS average_hours_per_week -FROM adultCensus -GROUP BY race; -``` - -This query will return the average `hoursperweek` for each distinct `race` in the `adultCensus` table.",4.4843456745,DeepSeek-R1-Distill-Llama-70B,616,1.002261196106476,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `race`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006453,"SELECT race, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY race;"," - -To answer the question, we need to calculate the sum of `hoursperweek` for each `race` in the `adultCensus` table. Here's the SQL code to achieve this: - -```sql -SELECT race, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY race; -``` - -This query: -1. Groups the rows in the `adultCensus` table by the `race` column. -2. Calculates the sum of `hoursperweek` for each group using the `SUM()` function. -3. Returns the `race` and the corresponding sum of `hoursperweek` for each race.",5.7076873779,DeepSeek-R1-Distill-Llama-70B,617,1.0256249397577497,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `education`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006039,"SELECT education, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY education;"," - -To find the minimum `hoursperweek` for each `education` in the `adultCensus` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT education, MIN(hoursperweek) AS min_hoursperweek -FROM adultCensus -GROUP BY education; -``` - -This query will return the minimum `hoursperweek` value for each distinct `education` in the `adultCensus` table.",4.8441126347,DeepSeek-R1-Distill-Llama-70B,618,1.0034358942062997,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `education`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004914,"SELECT education, MAX(hoursperweek) AS max_hours -FROM adultCensus -GROUP BY education;"," - -To find the maximum `hoursperweek` for each `education` in the `adultCensus` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it: - -```sql -SELECT education, MAX(hoursperweek) AS max_hours -FROM adultCensus -GROUP BY education; -``` - -This query will return the maximum `hoursperweek` for each distinct value in the `education` column.",4.3487927914,DeepSeek-R1-Distill-Llama-70B,619,1.0043615968023905,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `education`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000522,"SELECT - education, - AVG(hoursperweek) AS avg_hoursperweek -FROM - adultCensus -GROUP BY - education;"," - -To find the average `hoursperweek` for each `education` in the `adultCensus` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - education, - AVG(hoursperweek) AS avg_hoursperweek -FROM - adultCensus -GROUP BY - education; -``` - -This query will return the average `hoursperweek` for each distinct value in the `education` column.",4.4148771763,DeepSeek-R1-Distill-Llama-70B,620,1.0071070883517101,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `education`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005463,"SELECT - education, - SUM(hoursperweek) AS total_hours -FROM - adultCensus -GROUP BY - education;"," - -To find the sum of `hoursperweek` for each education level in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT - education, - SUM(hoursperweek) AS total_hours -FROM - adultCensus -GROUP BY - education; -``` - -This query: -1. Selects the `education` column and calculates the sum of `hoursperweek` for each education level. -2. Groups the results by the `education` column to ensure the sum is calculated for each unique education value. -3. Uses the `AS` keyword to alias the sum column as `total_hours` for better readability.",4.495954752,DeepSeek-R1-Distill-Llama-70B,621,1.004552127977978,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillcolor`, COUNT(*) FROM `mushrooms` GROUP BY `gillcolor`","For each gillcolor, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000522,"SELECT gillcolor, COUNT(*) AS count_of_rows -FROM mushrooms -GROUP BY gillcolor;"," - -To count the number of rows for each `gillcolor` in the `mushrooms` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT gillcolor, COUNT(*) AS count_of_rows -FROM mushrooms -GROUP BY gillcolor; -``` - -This query will: -1. Group all rows in the `mushrooms` table by the `gillcolor` column. -2. Count the number of rows in each group. -3. Return the `gillcolor` and the corresponding count of rows for each group.",4.3225800991,DeepSeek-R1-Distill-Llama-70B,622,0.991868020107895,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `bruises`, COUNT(*) FROM `mushrooms` GROUP BY `bruises`","For each bruises, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005787,"SELECT bruises, COUNT(*) as row_count -FROM mushrooms -GROUP BY bruises;"," - -To count the number of rows for each value of ""bruises"" in the `mushrooms` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT bruises, COUNT(*) as row_count -FROM mushrooms -GROUP BY bruises; -``` - -This query will: -1. Group all rows in the `mushrooms` table by the `bruises` column. -2. Count the number of rows in each group. -3. Return the `bruises` value along with the corresponding count for each group.",5.2000238895,DeepSeek-R1-Distill-Llama-70B,623,1.0114491134259238,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillsize`, COUNT(*) FROM `mushrooms` GROUP BY `gillsize`","For each gillsize, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000567,"SELECT gillsize, COUNT(*) as row_count -FROM mushrooms -GROUP BY gillsize;"," - -To count the number of rows for each `gillsize` in the `mushrooms` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT gillsize, COUNT(*) as row_count -FROM mushrooms -GROUP BY gillsize; -``` - -This query will: -1. Group all rows in the `mushrooms` table by the `gillsize` column. -2. Count the number of rows in each group. -3. Return the `gillsize` and the corresponding count of rows for each group.",4.8087558746,DeepSeek-R1-Distill-Llama-70B,624,1.0157491160457965,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `class`, COUNT(*) FROM `mushrooms` GROUP BY `class`","For each class, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006309,"SELECT ""class"", COUNT(*) -FROM mushrooms -GROUP BY ""class"";"," - -To count the number of rows in the `mushrooms` table for each class, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `class` column. - -```sql -SELECT ""class"", COUNT(*) -FROM mushrooms -GROUP BY ""class""; -```",6.5558104515,DeepSeek-R1-Distill-Llama-70B,625,0.9872799656380449,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `capsurface`, COUNT(*) FROM `mushrooms` GROUP BY `capsurface`","For each capsurface, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006282,"SELECT - capsurface, - COUNT(*) AS row_count -FROM - mushrooms -GROUP BY - capsurface -ORDER BY - capsurface;"," - -To count the number of rows for each `capsurface` in the `mushrooms` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code: - -```sql -SELECT - capsurface, - COUNT(*) AS row_count -FROM - mushrooms -GROUP BY - capsurface -ORDER BY - capsurface; -``` - -This query will: -1. Group all rows in the `mushrooms` table by the `capsurface` column. -2. Count the number of rows for each `capsurface` group. -3. Return the results sorted alphabetically by `capsurface`.",5.7114953995,DeepSeek-R1-Distill-Llama-70B,626,1.0383759217096795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) >= 10,Find all the race that have at least 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005724,"SELECT race, COUNT(*) as record_count -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10;"," - -To find all races in the `adultCensus` table that have at least 10 records, you can use the following SQL query: - -```sql -SELECT race, COUNT(*) as record_count -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10; -``` - -This query: -1. Selects the `race` column and counts the number of records for each race. -2. Groups the results by the `race` column. -3. Filters the results to include only those races with 10 or more records.",5.2083802223,DeepSeek-R1-Distill-Llama-70B,627,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) <= 10,Find all the race that have at most 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006048,"SELECT race, COUNT(*) AS record_count -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10;"," - -To find all races in the `adultCensus` table that have at most 10 records, you can use the following SQL query: - -```sql -SELECT race, COUNT(*) AS record_count -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10; -``` - -This query: -1. Selects the `race` column and counts the number of records for each race. -2. Groups the results by the `race` column. -3. Filters the results to include only those races with 10 or fewer records using the `HAVING` clause.",5.1143102646,DeepSeek-R1-Distill-Llama-70B,628,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) >= 4,Find all the relationship that have at least 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000558,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4;"," - -To find all relationships in the `adultCensus` table that have at least 4 records, you can use the following SQL query: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4; -``` - -This query: -1. Groups the rows in the `adultCensus` table by the `relationship` column. -2. Counts the number of records for each group using `COUNT(*)`. -3. Filters the results to include only those groups with at least 4 records using `HAVING COUNT(*) >= 4`. - -The result will be a list of all relationships that appear at least 4 times in the table.",5.558576107,DeepSeek-R1-Distill-Llama-70B,629,1.0532630250116188,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) <= 4,Find all the relationship that have at most 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006012,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4;"," - -To find all relationships that have at most 4 records in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4; -``` - -This query: -1. Groups the rows in the `adultCensus` table by the `relationship` column. -2. Counts the number of records for each unique relationship using `COUNT(*)`. -3. Filters the results to include only those relationships that have 4 or fewer records using `HAVING COUNT(*) <= 4`. - -The result will be a list of relationships that appear 4 or fewer times in the table.",5.5479147434,DeepSeek-R1-Distill-Llama-70B,630,0.9937803841365004,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) >= 5,Find all the maritalstatus that have at least 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006174,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5;"," - -To find all the `maritalstatus` values in the `adultCensus` table that have at least 5 records, you can use the following SQL query: - -```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) >= 5; -``` - -This query: -1. Groups the records in the `adultCensus` table by the `maritalstatus` column. -2. Counts the number of records in each group using `COUNT(*)`. -3. Filters the results to include only those groups with at least 5 records using `HAVING COUNT(*) >= 5`. - -The result will be a list of `maritalstatus` values that appear in at least 5 records.",5.1081118584,DeepSeek-R1-Distill-Llama-70B,631,1.001261424720821,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) <= 5,Find all the maritalstatus that have at most 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005427,"SELECT maritalstatus, COUNT(*) as record_count -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5;"," - -To find all the `maritalstatus` values in the `adultCensus` table that have at most 5 records, you can use the following SQL query: - -```sql -SELECT maritalstatus, COUNT(*) as record_count -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5; -``` - -This query: -1. Groups the records in the `adultCensus` table by the `maritalstatus` column. -2. Counts the number of records for each `maritalstatus`. -3. Filters the results to include only those `maritalstatus` values that have 5 or fewer records.",4.8546526432,DeepSeek-R1-Distill-Llama-70B,632,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) >= 42.72,List the nativecountry which average of hoursperweek is at least 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0007137,"SELECT nativecountry, AVG(hoursperweek) AS avg_hours -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72;"," - -To answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filters the results to include only those countries where the average `hoursperweek` is at least 42.72. - -Here is the SQL code: - -```sql -SELECT nativecountry, AVG(hoursperweek) AS avg_hours -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72; -``` - -### Explanation: -1. **`SELECT nativecountry, AVG(hoursperweek) AS avg_hours`**: This selects the `nativecountry` column and calculates the average of `hoursperweek` for each country, aliasing the result as `avg_hours`. -2. **`FROM adultCensus`**: Specifies the table to query. -3. **`GROUP BY nativecountry`**: Groups the results by `nativecountry` to calculate the average `hoursperweek` for each country. -4. **`HAVING AVG(hoursperweek) >= 42.72`**: Filters the results to include only those countries where the average `hoursperweek` is at least 42.72.",6.1043317318,DeepSeek-R1-Distill-Llama-70B,633,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) <= 42.72,List the nativecountry which average of hoursperweek is at most 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000783,"SELECT nativecountry, AVG(hoursperweek) AS average_hours -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72;"," - -To answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filters the results to include only those countries where the average `hoursperweek` is at most 42.72. - -Here is the SQL code: - -```sql -SELECT nativecountry, AVG(hoursperweek) AS average_hours -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72; -``` - -### Explanation: -1. **`SELECT nativecountry, AVG(hoursperweek) AS average_hours`**: This selects the `nativecountry` column and calculates the average of `hoursperweek` for each group of `nativecountry`. The `AS average_hours` renames the calculated column to `average_hours` for clarity. -2. **`FROM adultCensus`**: Specifies the table to query. -3. **`GROUP BY nativecountry`**: Groups the rows by the `nativecountry` column so that the average can be calculated for each country. -4. **`HAVING AVG(hoursperweek) <= 42.72`**: Filters the results to include only those groups where the average `hoursperweek` is less than or equal to 42.72. - -This query will return a list of `nativecountry` values along with their corresponding average `hoursperweek`, but only for those countries where the average is at most 42.72.",7.7681899071,DeepSeek-R1-Distill-Llama-70B,634,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) >= 270.33,List the nativecountry which summation of hoursperweek is at least 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0007272,"SELECT nativecountry, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33;"," - -To answer the question, we need to write an SQL query that will sum the `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filter the results to include only those countries where the sum of `hoursperweek` is at least 270.33. - -Here is the SQL code: - -```sql -SELECT nativecountry, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33; -``` - -### Explanation: -1. **`SELECT nativecountry, SUM(hoursperweek) AS total_hours`**: This selects the `nativecountry` column and calculates the sum of `hoursperweek` for each country, aliasing the sum as `total_hours` for clarity. -2. **`FROM adultCensus`**: Specifies the table to query. -3. **`GROUP BY nativecountry`**: Groups the results by the `nativecountry` column, allowing us to aggregate the `hoursperweek` values for each country. -4. **`HAVING SUM(hoursperweek) >= 270.33`**: Filters the grouped results to include only those countries where the sum of `hoursperweek` is at least 270.33. - -This query will return a list of `nativecountry` values along with their corresponding total `hoursperweek`, but only for those countries where the total meets or exceeds 270.33.",6.8961441517,DeepSeek-R1-Distill-Llama-70B,635,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) <= 270.33,List the nativecountry which summation of hoursperweek is at most 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0008622,"SELECT nativecountry, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33;"," - -To answer the question, we need to write an SQL query that will sum the `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filter the results to include only those `nativecountry` values where the total `hoursperweek` is at most 270.33. - -Here is the SQL code: - -```sql -SELECT nativecountry, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33; -``` - -### Explanation: -1. **SELECT nativecountry, SUM(hoursperweek) AS total_hours**: This selects the `nativecountry` column and calculates the sum of `hoursperweek` for each group of `nativecountry`. The `AS total_hours` renames the sum column to `total_hours` for clarity. -2. **FROM adultCensus**: Specifies the table to query. -3. **GROUP BY nativecountry**: Groups the rows by the `nativecountry` column so that the sum can be calculated for each country. -4. **HAVING SUM(hoursperweek) <= 270.33**: Filters the results to include only those groups where the sum of `hoursperweek` is at most 270.33. - -This query will return a list of `nativecountry` values along with their corresponding total `hoursperweek`, but only for those countries where the total is less than or equal to 270.33.",7.538870573,DeepSeek-R1-Distill-Llama-70B,636,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) >= 36.84,List the relationship which average of hoursperweek is at least 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0007047,"SELECT relationship, AVG(hoursperweek) AS avg_hours -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84;"," - -To answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `relationship` in the `adultCensus` table and filters the results to include only those relationships where the average `hoursperweek` is at least 36.84. - -Here is the SQL code: - -```sql -SELECT relationship, AVG(hoursperweek) AS avg_hours -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) >= 36.84; -``` - -### Explanation: -1. **`SELECT relationship, AVG(hoursperweek) AS avg_hours`**: This selects the `relationship` column and calculates the average of `hoursperweek` for each relationship, aliasing the result as `avg_hours`. -2. **`FROM adultCensus`**: Specifies the table to query. -3. **`GROUP BY relationship`**: Groups the results by the `relationship` column. -4. **`HAVING AVG(hoursperweek) >= 36.84`**: Filters the results to include only those groups where the average `hoursperweek` is at least 36.84.",6.1492524147,DeepSeek-R1-Distill-Llama-70B,637,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) <= 36.84,List the relationship which average of hoursperweek is at most 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0008262,"SELECT relationship, AVG(hoursperweek) AS average_hours -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84;"," - -To answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `relationship` in the `adultCensus` table and then filters the results to include only those relationships where the average `hoursperweek` is at most 36.84. - -Here is the SQL code: - -```sql -SELECT relationship, AVG(hoursperweek) AS average_hours -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84; -``` - -### Explanation: -1. **`SELECT relationship, AVG(hoursperweek) AS average_hours`**: - - This selects the `relationship` column and calculates the average of `hoursperweek` for each group of `relationship`. The `AS average_hours` renames the calculated column to `average_hours` for clarity. - -2. **`FROM adultCensus`**: - - This specifies the table from which to retrieve the data, which is `adultCensus`. - -3. **`GROUP BY relationship`**: - - This groups the rows by the `relationship` column, allowing us to calculate the average `hoursperweek` for each unique `relationship`. - -4. **`HAVING AVG(hoursperweek) <= 36.84`**: - - This filters the results to include only those groups where the average `hoursperweek` is less than or equal to 36.84. - -This query will return a list of relationships along with their average `hoursperweek`, but only for those relationships where the average `hoursperweek` is at most 36.84.",8.1209032536,DeepSeek-R1-Distill-Llama-70B,638,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) >= 162.2,List the relationship which summation of hoursperweek is at least 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006147,"SELECT relationship, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2;"," - -To fetch the relationships where the summation of `hoursperweek` is at least 162.2 from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT relationship, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2; -``` - -This query: -1. Selects the `relationship` column and calculates the sum of `hoursperweek` for each relationship. -2. Groups the results by the `relationship` column. -3. Filters the results to include only those relationships where the total `hoursperweek` is at least 162.2.",5.0322740078,DeepSeek-R1-Distill-Llama-70B,639,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) <= 162.2,List the relationship which summation of hoursperweek is at most 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006471,"SELECT relationship, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2;"," - -To translate the question into SQL code, we need to fetch the relationship from the `adultCensus` table where the summation of `hoursperweek` is at most 162.2. - -```sql -SELECT relationship, SUM(hoursperweek) AS total_hours -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2; -``` - -This SQL query will: -1. Select the `relationship` column and calculate the sum of `hoursperweek` for each relationship. -2. Group the results by the `relationship` column. -3. Filter the results to include only those groups where the sum of `hoursperweek` is at most 162.2.",5.8589029312,DeepSeek-R1-Distill-Llama-70B,640,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) >= 5,Find all the capshape that have at least 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006543,"SELECT capshape, COUNT(*) AS count -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5;"," - -To find all the `capshape` values that have at least 5 records in the `mushrooms` table, you can use the SQL `COUNT()` function along with the `GROUP BY` clause to group the records by `capshape` and filter the results using the `HAVING` clause. - -Here is the SQL code: - -```sql -SELECT capshape, COUNT(*) AS count -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) >= 5; -``` - -This query will: -1. Group the records in the `mushrooms` table by the `capshape` column. -2. Count the number of records for each `capshape`. -3. Return only those `capshape` values that have at least 5 records. - -The result will include the `capshape` values and their corresponding counts.",5.8149192333,DeepSeek-R1-Distill-Llama-70B,641,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) <= 5,Find all the capshape that have at most 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005409,"SELECT capshape, COUNT(*) as count -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5;"," - -To find all the `capshape` values that have at most 5 records in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capshape, COUNT(*) as count -FROM mushrooms -GROUP BY capshape -HAVING COUNT(*) <= 5; -``` - -This query will: -1. Group the rows in the `mushrooms` table by the `capshape` column. -2. Count the number of records for each `capshape`. -3. Filter the results to include only those `capshape` values that have 5 or fewer records. - -The result will show the `capshape` values and their corresponding counts.",4.530362606,DeepSeek-R1-Distill-Llama-70B,642,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) >= 6,Find all the capsurface that have at least 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005004,"SELECT capsurface, COUNT(*) as count -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6;"," - -To find all the `capsurface` values in the `mushrooms` table that have at least 6 records, you can use the following SQL query: - -```sql -SELECT capsurface, COUNT(*) as count -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6; -``` - -This query: -1. Groups the `mushrooms` table by the `capsurface` column. -2. Counts the number of records for each `capsurface` value. -3. Filters the results to include only those `capsurface` values that have at least 6 records. - -The result will show the `capsurface` values and their corresponding counts.",4.0694315434,DeepSeek-R1-Distill-Llama-70B,643,0.0,0.6,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) <= 6,Find all the capsurface that have at most 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005436,"SELECT capsurface, COUNT(*) as count -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6;"," - -To find all the `capsurface` values that have at most 6 records in the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface, COUNT(*) as count -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) <= 6; -``` - -This query: -1. Groups the rows in the `mushrooms` table by the `capsurface` column. -2. Counts the number of records for each `capsurface` value. -3. Filters the results to include only those `capsurface` values that have 6 or fewer records. - -The result will show the `capsurface` values and their corresponding counts.",4.7383816242,DeepSeek-R1-Distill-Llama-70B,644,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) >= 10,Find all the class that have at least 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005625,"SELECT class, COUNT(*) as record_count -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10;"," - -To find all the classes in the `mushrooms` table that have at least 10 records, you can use the SQL `COUNT()` function along with the `GROUP BY` and `HAVING` clauses. Here's the SQL code: - -```sql -SELECT class, COUNT(*) as record_count -FROM mushrooms -GROUP BY class -HAVING COUNT(*) >= 10; -``` - -This query will: -1. Group the records in the `mushrooms` table by the `class` column. -2. Count the number of records in each group using `COUNT(*)`. -3. Filter the results to include only those classes that have at least 10 records, using the `HAVING` clause.",5.4447619915,DeepSeek-R1-Distill-Llama-70B,645,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) <= 10,Find all the class that have at most 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005625,"SELECT class, COUNT(*) as record_count -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10;"," - -To find all the classes in the `mushrooms` table that have at most 10 records, you can use the following SQL query: - -```sql -SELECT class, COUNT(*) as record_count -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10; -``` - -This query: -1. Groups the rows in the `mushrooms` table by the `class` column. -2. Counts the number of records for each class using `COUNT(*)`. -3. Filters the results to include only those classes with 10 or fewer records using the `HAVING` clause.",5.5308532715,DeepSeek-R1-Distill-Llama-70B,646,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the workclass with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004662,"SELECT DISTINCT workclass, maritalstatus FROM adultCensus;"," - -To fetch all the unique combinations of `workclass` and `maritalstatus` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT workclass, maritalstatus FROM adultCensus; -``` - -This query will return all unique pairs of `workclass` and `maritalstatus` present in the `adultCensus` table.",3.7092268467,DeepSeek-R1-Distill-Llama-70B,647,0.0,0.1,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the workclass with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005697,"SELECT workclass, race FROM adultCensus;"," - -To fetch the `workclass` along with all corresponding `race` values from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT workclass, race FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, showing the `workclass` and `race` for each entry.",5.2432289124,DeepSeek-R1-Distill-Llama-70B,648,0.0,0.25,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the workclass with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005697,"SELECT workclass, sex FROM adultCensus;"," - -To fetch the `workclass` along with all the `sex` entries from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT workclass, sex FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, showing the `workclass` and `sex` columns for each entry.",5.0638270378,DeepSeek-R1-Distill-Llama-70B,649,0.0,0.25,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the workclass with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005913,"SELECT workclass, nativecountry FROM adultCensus;"," - -To fetch the `workclass` along with all corresponding `nativecountry` entries from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT workclass, nativecountry FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, showing the `workclass` and `nativecountry` for each entry.",5.2705726624,DeepSeek-R1-Distill-Llama-70B,650,0.0,0.111,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the workclass with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005607,"SELECT workclass, income FROM adultCensus;"," - -To fetch the `workclass` along with all the `income` entries from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT workclass, income FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, displaying the `workclass` and `income` columns for each entry.",5.0054049492,DeepSeek-R1-Distill-Llama-70B,651,0.0,0.25,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the education with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005157,"SELECT DISTINCT education, maritalstatus FROM adultCensus;"," - -To fetch the education and marital status from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT education, maritalstatus FROM adultCensus; -``` - -This query will return all unique combinations of education and marital status present in the `adultCensus` table.",4.526314497,DeepSeek-R1-Distill-Llama-70B,652,0.0,0.083,1.0,0.0,0.071,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `relationship`) = (SELECT COUNT(DISTINCT `relationship`) FROM `adultCensus`),What are the education with all the relationship in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004761,"SELECT education, relationship FROM adultCensus;"," - -To fetch the education along with all the relationships from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education, relationship FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table with the `education` and `relationship` columns.",3.8776028156,DeepSeek-R1-Distill-Llama-70B,653,0.0,0.077,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the education with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000558,"SELECT education, race FROM adultCensus;"," - -To fetch the education and race from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education, race FROM adultCensus; -``` - -This query will return all the rows in your table with the `education` and `race` columns.",5.1734235287,DeepSeek-R1-Distill-Llama-70B,654,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the education with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004689,"SELECT education, sex FROM adultCensus;"," - -To retrieve the education and sex from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education, sex FROM adultCensus; -```",3.9046738148,DeepSeek-R1-Distill-Llama-70B,655,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the education with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00072,"SELECT education, income -FROM adultCensus;"," - -To fetch the education details along with their corresponding income information from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education, income -FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, showing the `education` and `income` columns for each record.",7.8266694546,DeepSeek-R1-Distill-Llama-70B,656,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the maritalstatus with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005751,"SELECT DISTINCT maritalstatus, race FROM adultCensus;"," - -To fetch the marital statuses along with all the races from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT maritalstatus, race FROM adultCensus; -``` - -This query will return all unique combinations of `maritalstatus` and `race` from the `adultCensus` table.",5.101583004,DeepSeek-R1-Distill-Llama-70B,657,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the maritalstatus with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004914,"SELECT DISTINCT maritalstatus, sex FROM adultCensus;"," - -To fetch the `maritalstatus` along with the corresponding `sex` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT maritalstatus, sex FROM adultCensus; -``` - -This query will return all unique combinations of `maritalstatus` and `sex` present in the `adultCensus` table.",4.0784945488,DeepSeek-R1-Distill-Llama-70B,658,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the maritalstatus with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006399,"SELECT maritalstatus, income FROM adultCensus;"," - -To fetch the `maritalstatus` along with the corresponding `income` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT maritalstatus, income FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, showing the `maritalstatus` and `income` for each entry. If you want to filter out any `NULL` values or apply additional conditions, you can modify the query accordingly.",5.7698714733,DeepSeek-R1-Distill-Llama-70B,659,0.0,0.5,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the occupation with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005175,"SELECT DISTINCT occupation, race FROM `adultCensus`;"," - -To fetch the occupation along with all the race from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT occupation, race FROM `adultCensus`; -``` - -This query will return all unique combinations of `occupation` and `race` present in the `adultCensus` table.",4.4254488945,DeepSeek-R1-Distill-Llama-70B,660,0.0,0.083,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the occupation with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005733,"SELECT DISTINCT occupation, sex -FROM adultCensus -WHERE occupation IS NOT NULL;"," - -To fetch the occupation along with the corresponding sex from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT occupation, sex -FROM adultCensus -WHERE occupation IS NOT NULL; -``` - -This query will return all unique combinations of `occupation` and `sex` from the `adultCensus` table.",4.9615523815,DeepSeek-R1-Distill-Llama-70B,661,0.0,0.25,1.0,0.0,0.231,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the occupation with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005895,"SELECT occupation, income FROM adultCensus;"," - -To fetch the occupation along with their corresponding income from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT occupation, income FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, showing the `occupation` and `income` for each entry.",5.4359045029,DeepSeek-R1-Distill-Llama-70B,662,0.0,0.25,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the relationship with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005832,"SELECT race, relationship, COUNT(*) as count -FROM adultCensus -GROUP BY race, relationship;"," - -To fetch the relationship with all the races in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT race, relationship -FROM adultCensus -GROUP BY race, relationship; -``` - -This query will return all unique combinations of `race` and `relationship` in the `adultCensus` table. If you want to count the number of occurrences for each combination, you can include a `COUNT(*)` in the `SELECT` statement: - -```sql -SELECT race, relationship, COUNT(*) as count -FROM adultCensus -GROUP BY race, relationship; -```",5.3188352585,DeepSeek-R1-Distill-Llama-70B,663,0.0,0.182,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the relationship with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005337,"SELECT relationship, sex, COUNT(*) -FROM adultCensus -GROUP BY relationship, sex -ORDER BY relationship, sex;"," - -To fetch the relationship with all the sexes in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT relationship, sex, COUNT(*) -FROM adultCensus -GROUP BY relationship, sex -ORDER BY relationship, sex; -``` - -This query will: -1. Select the `relationship` and `sex` columns. -2. Group the results by both `relationship` and `sex`. -3. Count the number of occurrences for each combination of `relationship` and `sex`. -4. Order the results by `relationship` and `sex` for better readability.",4.7585542202,DeepSeek-R1-Distill-Llama-70B,664,0.0,0.167,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the relationship with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005571,"SELECT relationship, income -FROM adultCensus -GROUP BY relationship, income -ORDER BY relationship, income;"," - -To fetch the relationship with all the income in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT relationship, income -FROM adultCensus -GROUP BY relationship, income -ORDER BY relationship, income; -``` - -This query will return all unique combinations of `relationship` and `income` in the `adultCensus` table, grouped by these two columns and ordered for clarity.",5.0048985481,DeepSeek-R1-Distill-Llama-70B,665,0.0,0.429,1.0,0.0,0.375,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the race with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005706,"SELECT DISTINCT race, sex FROM adultCensus;"," - -To retrieve the distinct races along with their corresponding sexes from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT race, sex FROM adultCensus; -``` - -This query will return all unique combinations of `race` and `sex` present in the `adultCensus` table.",5.117061615,DeepSeek-R1-Distill-Llama-70B,666,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the race with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006804,"SELECT race, nativecountry -FROM adultCensus;"," - -To fetch the race along with all the native countries in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT race, nativecountry -FROM adultCensus; -``` - -This query will return all the rows from the `adultCensus` table containing the `race` and `nativecountry` columns.",6.4567708969,DeepSeek-R1-Distill-Llama-70B,667,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the race with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005283,"SELECT DISTINCT race, income FROM adultCensus;"," - -To fetch the unique combinations of `race` and `income` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT race, income FROM adultCensus; -``` - -This query will return all unique pairs of `race` and `income` values present in the `adultCensus` table.",4.7702431679,DeepSeek-R1-Distill-Llama-70B,668,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `sex` FROM `adultCensus` GROUP BY `sex` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the sex with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005571,"SELECT DISTINCT sex, income -FROM adultCensus -WHERE income IS NOT NULL;"," - -To answer the question ""What are the sex with all the income in table adultCensus?"", we need to fetch all unique combinations of `sex` and `income` from the `adultCensus` table. - -```sql -SELECT DISTINCT sex, income -FROM adultCensus -WHERE income IS NOT NULL; -```",4.5018312931,DeepSeek-R1-Distill-Llama-70B,669,0.0,0.5,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the nativecountry with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005859,"SELECT nativecountry, income FROM adultCensus;"," - -To fetch the `nativecountry` along with the corresponding `income` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT nativecountry, income FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table, displaying the `nativecountry` and `income` columns for each record.",5.2137579918,DeepSeek-R1-Distill-Llama-70B,670,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the class with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006489,"SELECT class, capsurface FROM mushrooms;"," - -To retrieve the classes along with their corresponding capsurface values from the mushrooms table, you can use the following SQL query: - -```sql -SELECT class, capsurface FROM mushrooms; -``` - -This query selects the ""class"" and ""capsurface"" columns from the mushrooms table, providing each class with its associated capsurface value.",6.5369932652,DeepSeek-R1-Distill-Llama-70B,671,0.0,0.4,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the class with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006849,"SELECT class, capcolor FROM mushrooms;"," - -To fetch all the classes along with their corresponding cap colors from the mushrooms table, you can use the following SQL query: - -```sql -SELECT class, capcolor FROM mushrooms; -``` - -This query will return a list of all the classes and their associated cap colors in the mushrooms table.",6.487944603,DeepSeek-R1-Distill-Llama-70B,672,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the class with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005265,SELECT DISTINCT class FROM mushrooms WHERE bruises IS NOT NULL;," - -To fetch the classes with all the bruises from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT class FROM mushrooms WHERE bruises IS NOT NULL; -``` - -This query will return all unique classes in the `mushrooms` table where the `bruises` column is not null.",4.4596455097,DeepSeek-R1-Distill-Llama-70B,673,0.9583365529407242,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the class with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005301,"SELECT class, gillattachment FROM mushrooms;"," - -To fetch all classes along with their corresponding gillattachment values from the mushrooms table, you can use the following SQL query: - -```sql -SELECT class, gillattachment FROM mushrooms; -``` - -This query will return all rows from the mushrooms table, showing the class and its associated gillattachment.",6.2636079788,DeepSeek-R1-Distill-Llama-70B,674,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the class with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005625,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms);"," - -To answer the question of which classes in the mushrooms table have all possible gillspacing values, we can use the following SQL query. This query first determines the total number of distinct gillspacing values and then selects the classes that have all of these values. - -```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms); -```",4.9050068855,DeepSeek-R1-Distill-Llama-70B,675,0.9972897158701622,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the class with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005652,"SELECT class, gillsize FROM mushrooms;"," - -To fetch the classes along with their corresponding gill sizes from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT class, gillsize FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table, showing the `class` and `gillsize` for each entry.",4.808934927,DeepSeek-R1-Distill-Llama-70B,676,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the capshape with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000477,"SELECT capshape, capsurface FROM mushrooms;"," - -To fetch all the `capshape` along with their corresponding `capsurface` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capshape, capsurface FROM mushrooms; -``` - -This query will return all the rows from the `mushrooms` table containing the `capshape` and `capsurface` columns.",3.8109066486,DeepSeek-R1-Distill-Llama-70B,677,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the capshape with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005841,"SELECT capshape, capcolor FROM mushrooms;"," - -To fetch the `capshape` along with all corresponding `capcolor` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capshape, capcolor FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table, showing the `capshape` and `capcolor` for each entry.",5.8406405449,DeepSeek-R1-Distill-Llama-70B,678,0.0,0.111,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capshape with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005346,"SELECT DISTINCT capshape -FROM mushrooms -WHERE bruises = 'true';"," - -To fetch the capshape with all the bruises in the mushrooms table, you can use the following SQL query: - -```sql -SELECT DISTINCT capshape -FROM mushrooms -WHERE bruises = 'true'; -``` - -This query will return all unique capshapes from the mushrooms table where the bruises attribute is 'true'.",5.4894485474,DeepSeek-R1-Distill-Llama-70B,679,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capshape with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005616,"SELECT DISTINCT capshape, gillattachment FROM mushrooms;"," - -To fetch the `capshape` along with the corresponding `gillattachment` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capshape, gillattachment FROM mushrooms; -``` - -If you want to fetch only unique combinations of `capshape` and `gillattachment`, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT capshape, gillattachment FROM mushrooms; -```",4.5275540352,DeepSeek-R1-Distill-Llama-70B,680,0.0,0.167,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capshape with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004797,"SELECT DISTINCT capshape, gillspacing -FROM mushrooms -WHERE capshape IS NOT NULL AND gillspacing IS NOT NULL;"," - -To fetch all unique combinations of `capshape` and `gillspacing` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capshape, gillspacing -FROM mushrooms -WHERE capshape IS NOT NULL AND gillspacing IS NOT NULL; -``` - -This query will return all unique pairs of `capshape` and `gillspacing` values from the `mushrooms` table.",3.6774542332,DeepSeek-R1-Distill-Llama-70B,681,0.0,0.167,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capshape with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005301,"SELECT capshape, gillsize FROM `mushrooms`;"," - -To fetch the `capshape` along with all the `gillsize` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capshape, gillsize FROM `mushrooms`; -``` - -This query will return all the rows from the `mushrooms` table, showing the `capshape` and `gillsize` for each entry.",4.2211968899,DeepSeek-R1-Distill-Llama-70B,682,0.0,0.333,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capsurface with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005085,"SELECT capsurface -FROM mushrooms -WHERE bruises IS NOT NULL;"," - -To answer the question ""What are the capsurface with all the bruises in table mushrooms?"", we need to fetch the `capsurface` values from the `mushrooms` table where the `bruises` column is not null. - -```sql -SELECT capsurface -FROM mushrooms -WHERE bruises IS NOT NULL; -```",4.6032133102,DeepSeek-R1-Distill-Llama-70B,683,0.0,1.0,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capsurface with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005283,"SELECT capsurface, gillattachment FROM mushrooms;"," - -To fetch the `capsurface` along with `gillattachment` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface, gillattachment FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table with the `capsurface` and `gillattachment` columns.",4.2461879253,DeepSeek-R1-Distill-Llama-70B,684,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capsurface with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000594,"SELECT capsurface, gillspacing FROM mushrooms;"," - -To fetch the `capsurface` along with the corresponding `gillspacing` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface, gillspacing FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table, showing the `capsurface` and `gillspacing` for each entry.",5.2514293194,DeepSeek-R1-Distill-Llama-70B,685,0.0,0.4,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capsurface with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005985,"SELECT capsurface, gillsize FROM ""mushrooms"";"," - -To fetch the `capsurface` and `gillsize` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface, gillsize FROM ""mushrooms""; -``` - -This query will return all rows containing the `capsurface` and `gillsize` columns from the `mushrooms` table.",5.4118051529,DeepSeek-R1-Distill-Llama-70B,686,0.0,0.6,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capcolor with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005328,SELECT capcolor FROM mushrooms WHERE bruises IS NOT NULL;," - -To fetch the `capcolor` of all mushrooms that have bruises, we can use a SQL query that selects the `capcolor` from the `mushrooms` table where the `bruises` column is not null. - -```sql -SELECT capcolor FROM mushrooms WHERE bruises IS NOT NULL; -```",4.79271698,DeepSeek-R1-Distill-Llama-70B,687,0.0,0.8,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capcolor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005841,"SELECT capcolor, gillattachment FROM mushrooms;"," - -To fetch the `capcolor` along with the corresponding `gillattachment` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capcolor, gillattachment FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table with the `capcolor` and `gillattachment` columns.",4.8510525227,DeepSeek-R1-Distill-Llama-70B,688,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capcolor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005049,"SELECT DISTINCT capcolor, gillspacing FROM mushrooms;"," - -To fetch the `capcolor` along with all the `gillspacing` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capcolor, gillspacing FROM mushrooms; -``` - -This query will return all the rows from your `mushrooms` table with the `capcolor` and `gillspacing` columns. If you want to get unique combinations of `capcolor` and `gillspacing`, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT capcolor, gillspacing FROM mushrooms; -```",4.1435539722,DeepSeek-R1-Distill-Llama-70B,689,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capcolor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006345,"SELECT capcolor, gillsize FROM mushrooms;"," - -To fetch the `capcolor` along with the corresponding `gillsize` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capcolor, gillsize FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table, showing the `capcolor` and `gillsize` for each entry.",5.4475107193,DeepSeek-R1-Distill-Llama-70B,690,0.0,0.571,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the bruises with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006129,"SELECT DISTINCT bruises, gillattachment -FROM mushrooms -WHERE bruises IS NOT NULL AND gillattachment IS NOT NULL;"," - -To answer the question ""What are the bruises with all the gillattachment in table mushrooms?"", we need to fetch all records from the `mushrooms` table where the `bruises` and `gillattachment` columns are present. - -Here is the SQL code to achieve this: - -```sql -SELECT DISTINCT bruises, gillattachment -FROM mushrooms -WHERE bruises IS NOT NULL AND gillattachment IS NOT NULL; -``` - -This query will return all unique combinations of `bruises` and `gillattachment` from the `mushrooms` table where both values are not null.",8.1265046597,DeepSeek-R1-Distill-Llama-70B,691,0.0,0.25,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the bruises with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004572,"SELECT bruises, gillspacing FROM mushrooms;"," - -To fetch the bruises along with their corresponding gillspacing from the mushrooms table, you can use the following SQL query: - -```sql -SELECT bruises, gillspacing FROM mushrooms; -```",4.9204857349,DeepSeek-R1-Distill-Llama-70B,692,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the bruises with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005526,"SELECT bruises, gillsize FROM mushrooms;"," - -To fetch the bruises along with all corresponding gill sizes from the mushrooms table, you can use the following SQL query: - -```sql -SELECT bruises, gillsize FROM mushrooms; -``` - -This query will return all rows from the mushrooms table where both the `bruises` and `gillsize` columns are populated with values.",5.4265909195,DeepSeek-R1-Distill-Llama-70B,693,0.0,0.5,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the odor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006264,"SELECT odor, gillattachment FROM mushrooms;"," - -To fetch the `odor` and `gillattachment` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT odor, gillattachment FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table with the `odor` and `gillattachment` columns.",6.6022377014,DeepSeek-R1-Distill-Llama-70B,694,0.0,0.143,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the odor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000585,"SELECT DISTINCT odor, gillspacing FROM mushrooms;"," - -To fetch all the unique combinations of ""odor"" and ""gillspacing"" from the ""mushrooms"" table, you can use the following SQL query: - -```sql -SELECT DISTINCT odor, gillspacing FROM mushrooms; -``` - -This query will return all unique pairs of `odor` and `gillspacing` present in the `mushrooms` table.",6.013014555,DeepSeek-R1-Distill-Llama-70B,695,0.0,0.143,1.0,0.0,0.167,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the odor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005364,"SELECT DISTINCT odor, gillsize FROM mushrooms;"," - -To fetch all unique combinations of `odor` and `gillsize` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT odor, gillsize FROM mushrooms; -``` - -This query will return all unique pairs of `odor` and `gillsize` values present in the `mushrooms` table.",5.8436572552,DeepSeek-R1-Distill-Llama-70B,696,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the gillattachment with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006867,"SELECT gillattachment, gillspacing FROM mushrooms;"," - -To fetch all the `gillattachment` values along with their corresponding `gillspacing` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillattachment, gillspacing FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table, showing the `gillattachment` and `gillspacing` columns for each entry.",6.9106543064,DeepSeek-R1-Distill-Llama-70B,697,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillattachment with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004716,"SELECT gillattachment, gillsize FROM mushrooms;"," - -To fetch the `gillattachment` along with `gillsize` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillattachment, gillsize FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table with the `gillattachment` and `gillsize` columns.",4.4014828205,DeepSeek-R1-Distill-Llama-70B,698,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillspacing with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004851,"SELECT gillspacing, gillsize FROM mushrooms;"," - -To fetch the `gillspacing` along with all the `gillsize` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillspacing, gillsize FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table with the `gillspacing` and `gillsize` columns.",4.0157799721,DeepSeek-R1-Distill-Llama-70B,699,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillcolor`) = (SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`),What are the gillspacing with all the gillcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005022,"SELECT gillspacing, gillcolor FROM mushrooms;"," - -To fetch the `gillspacing` along with all the `gillcolor` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillspacing, gillcolor FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table with the `gillspacing` and `gillcolor` columns.",4.4122033119,DeepSeek-R1-Distill-Llama-70B,700,0.0,0.091,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` ASC,Show all data ordered by hoursperweek in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000432,"SELECT * -FROM adultCensus -ORDER BY hoursperweek ASC;"," - -To fetch all data from the `adultCensus` table ordered by `hoursperweek` in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek ASC; -```",3.6664619446,DeepSeek-R1-Distill-Llama-70B,701,1.0191033090283055,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` DESC,Show all data ordered by hoursperweek in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000432,"SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC;"," - -To fetch all data from the `adultCensus` table ordered by `hoursperweek` in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC; -```",3.4334046841,DeepSeek-R1-Distill-Llama-70B,702,1.0046342882554011,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` ASC,Show all data ordered by income in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004869,"SELECT * -FROM adultCensus -ORDER BY income ASC;"," - -To fetch all data from the `adultCensus` table ordered by the `income` column in ascending order, you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -ORDER BY income ASC; -```",3.8938319683,DeepSeek-R1-Distill-Llama-70B,703,1.043743886852829,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` DESC,Show all data ordered by income in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005931,"SELECT * -FROM adultCensus -ORDER BY income DESC;"," - -To fetch all data from the `adultCensus` table ordered by `income` in descending order, you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -ORDER BY income DESC; -``` - -This query will return all rows from the `adultCensus` table, sorted by the `income` column in descending order.",5.8860192299,DeepSeek-R1-Distill-Llama-70B,704,1.0034072258787852,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` ASC,Project the maritalstatus ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000495,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC;"," - -To project the `maritalstatus` column from the `adultCensus` table in ascending order, you can use the following SQL query: - -```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC; -```",5.2547447681,DeepSeek-R1-Distill-Llama-70B,705,1.0450418873372174,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` DESC,Project the maritalstatus ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005103,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC;"," - -To project the `maritalstatus` column from the `adultCensus` table in descending order, you can use the following SQL query: - -```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC; -```",4.6059446335,DeepSeek-R1-Distill-Llama-70B,706,1.0239879038099395,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` ASC,Project the relationship ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005148,"SELECT DISTINCT relationship -FROM adultCensus -ORDER BY relationship ASC;"," - -To project the ""relationship"" column from the `adultCensus` table in ascending order, you can use the following SQL query: - -```sql -SELECT DISTINCT relationship -FROM adultCensus -ORDER BY relationship ASC; -``` - -This query will: -1. Select the unique values from the ""relationship"" column (`SELECT DISTINCT relationship`). -2. Retrieve the data from the `adultCensus` table (`FROM adultCensus`). -3. Sort the results in ascending order based on the ""relationship"" column (`ORDER BY relationship ASC`).",5.251761198,DeepSeek-R1-Distill-Llama-70B,707,0.0,1.0,1.0,0.0,0.25,0.2,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` DESC,Project the relationship ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005301,"SELECT relationship -FROM adultCensus -ORDER BY relationship DESC;"," - -To project the ""relationship"" column from the `adultCensus` table and order it in descending order, you can use the following SQL query: - -```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship DESC; -``` - -This query will: -1. Select the `relationship` column from the `adultCensus` table. -2. Order the results in descending alphabetical order based on the `relationship` values.",4.6849043369,DeepSeek-R1-Distill-Llama-70B,708,1.0061352885684365,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` ASC,Show all data ordered by class in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004482,SELECT * FROM mushrooms ORDER BY class ASC;," - -To fetch all data from the `mushrooms` table ordered by the `class` column in ascending order, you can use the following SQL query: - -```sql -SELECT * FROM mushrooms ORDER BY class ASC; -```",4.2661380768,DeepSeek-R1-Distill-Llama-70B,709,1.029219873294748,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` DESC,Show all data ordered by class in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004698,SELECT * FROM mushrooms ORDER BY class DESC;," - -To fetch all data from the `mushrooms` table ordered by the `class` column in descending order, you can use the following SQL query: - -```sql -SELECT * FROM mushrooms ORDER BY class DESC; -```",4.6006903648,DeepSeek-R1-Distill-Llama-70B,710,1.0255042338918905,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` ASC,Show all data ordered by gillattachment in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004041,SELECT * FROM mushrooms ORDER BY gillattachment ASC;," - -To fetch all data from the `mushrooms` table ordered by the `gillattachment` column in ascending order, you can use the following SQL query: - -```sql -SELECT * FROM mushrooms ORDER BY gillattachment ASC; -```",3.324090004,DeepSeek-R1-Distill-Llama-70B,711,0.9964890439081315,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` DESC,Show all data ordered by gillattachment in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0003744,SELECT * FROM mushrooms ORDER BY gillattachment DESC;," - -To fetch all data from the `mushrooms` table ordered by the `gillattachment` column in descending order, you can use the following SQL query: - -```sql -SELECT * FROM mushrooms ORDER BY gillattachment DESC; -```",3.1842567921,DeepSeek-R1-Distill-Llama-70B,712,1.0279659782751889,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` ASC,Project the gillspacing ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004617,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC;"," - -To project the `gillspacing` column from the `mushrooms` table in ascending order, you can use the following SQL query: - -```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC; -``` - -This query will: -1. Select the `gillspacing` column from the `mushrooms` table. -2. Order the results in ascending order based on the `gillspacing` values.",4.061643362,DeepSeek-R1-Distill-Llama-70B,713,1.00348169673584,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` DESC,Project the gillspacing ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004689,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC;"," - -To project the `gillspacing` column from the `mushrooms` table in descending order, you can use the following SQL query: - -```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC; -```",3.8121371269,DeepSeek-R1-Distill-Llama-70B,714,1.0322868729058912,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` ASC,Project the capcolor ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0003654,"SELECT DISTINCT capcolor -FROM mushrooms -ORDER BY capcolor ASC;"," - -To project the `capcolor` from the `mushrooms` table in ascending order, you can use the following SQL query: - -```sql -SELECT DISTINCT capcolor -FROM mushrooms -ORDER BY capcolor ASC; -``` - -This query will: -1. Select the unique values of `capcolor` from the `mushrooms` table. -2. Order the results in ascending alphabetical order based on `capcolor`.",2.7323076725,DeepSeek-R1-Distill-Llama-70B,715,0.0,1.0,1.0,0.0,0.25,0.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` DESC,Project the capcolor ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0003933,"SELECT DISTINCT capcolor -FROM mushrooms -ORDER BY capcolor DESC;"," - -To project the `capcolor` from the `mushrooms` table and order it in descending order, you can use the following SQL query: - -```sql -SELECT DISTINCT capcolor -FROM mushrooms -ORDER BY capcolor DESC; -```",2.9462082386,DeepSeek-R1-Distill-Llama-70B,716,0.0,1.0,1.0,0.0,0.25,0.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `sex` FROM `adultCensus`,Show all sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004419,SELECT DISTINCT sex FROM adultCensus;," - -To fetch all unique values of the ""sex"" column from the ""adultCensus"" table, you can use the following SQL query: - -```sql -SELECT DISTINCT sex FROM adultCensus; -```",3.5077171326,DeepSeek-R1-Distill-Llama-70B,717,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `hoursperweek` FROM `adultCensus`,Show all hoursperweek in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006615,SELECT hoursperweek FROM adultCensus;," - -To fetch all the `hoursperweek` values from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT hoursperweek FROM adultCensus; -```",5.8272252083,DeepSeek-R1-Distill-Llama-70B,718,1.001550936463091,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `workclass` FROM `adultCensus`,Show all workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0007677,SELECT DISTINCT workclass FROM adultCensus;," - -To fetch all the unique values of the ""workclass"" column from the ""adultCensus"" table, you can use the following SQL query: - -```sql -SELECT DISTINCT workclass FROM adultCensus; -``` - -This query will return all the distinct values in the ""workclass"" column of your ""adultCensus"" table.",7.5566673279,DeepSeek-R1-Distill-Llama-70B,719,0.0,1.0,1.0,0.0,0.3,0.5,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005877,"SELECT DISTINCT ""maritalstatus"" FROM ""adultCensus"";"," - -To fetch all unique marital statuses from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT DISTINCT ""maritalstatus"" FROM ""adultCensus""; -```",5.8242795467,DeepSeek-R1-Distill-Llama-70B,720,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `education` FROM `adultCensus`,Show all education in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005508,SELECT DISTINCT education FROM adultCensus;," - -To fetch all education entries from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT education FROM adultCensus; -``` - -This query will return all rows in the `education` column of the `adultCensus` table. If you want to see only unique education entries, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT education FROM adultCensus; -```",4.8101210594,DeepSeek-R1-Distill-Llama-70B,721,0.0,1.0,1.0,0.0,0.4,0.625,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-ALL,SELECT * FROM `adultCensus`,Show all the rows in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005553,SELECT * FROM adultCensus;," - -To show all the rows in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT * FROM adultCensus; -```",4.9129579067,DeepSeek-R1-Distill-Llama-70B,722,1.0054020571817925,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004383,SELECT DISTINCT maritalstatus FROM adultCensus;," - -To fetch all marital statuses from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT maritalstatus FROM adultCensus; -``` - -If you want to fetch unique marital statuses (without duplicates), you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT maritalstatus FROM adultCensus; -```",3.4857594967,DeepSeek-R1-Distill-Llama-70B,723,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `race`, `nativecountry` FROM `adultCensus`","Show all race, nativecountry in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004932,"SELECT race, nativecountry FROM adultCensus;"," - -To fetch all the `race` and `nativecountry` entries from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT race, nativecountry FROM adultCensus; -``` - -This query will return all rows containing the `race` and `nativecountry` columns from your `adultCensus` table.",3.9649541378,DeepSeek-R1-Distill-Llama-70B,724,1.0187347223272794,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `nativecountry`, `occupation`, `race` FROM `adultCensus`","Show all nativecountry, occupation, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004275,"SELECT nativecountry, occupation, race FROM adultCensus;"," - -To fetch the `nativecountry`, `occupation`, and `race` from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT nativecountry, occupation, race FROM adultCensus; -```",3.1336877346,DeepSeek-R1-Distill-Llama-70B,725,0.9938751880370607,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `income`, `education`, `race` FROM `adultCensus`","Show all occupation, income, education, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000477,"SELECT occupation, income, education, race FROM adultCensus;"," - -To fetch the occupation, income, education, and race from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT occupation, income, education, race FROM adultCensus; -```",4.0635604858,DeepSeek-R1-Distill-Llama-70B,726,1.0287005338337787,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `race`, `relationship`, `workclass`, `maritalstatus` FROM `adultCensus`","Show all occupation, race, relationship, workclass, maritalstatus in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005211,"SELECT occupation, race, relationship, workclass, maritalstatus -FROM adultCensus;"," - -To fetch the specified columns from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT occupation, race, relationship, workclass, maritalstatus -FROM adultCensus; -``` - -This query will return all rows with the columns `occupation`, `race`, `relationship`, `workclass`, and `maritalstatus` from the `adultCensus` table.",5.1718480587,DeepSeek-R1-Distill-Llama-70B,727,1.0013573869437176,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education` FROM `adultCensus`","Show all sex, nativecountry, race, workclass, relationship, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004959,"SELECT sex, nativecountry, race, workclass, relationship, education -FROM adultCensus;"," - -To fetch the specified columns from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT sex, nativecountry, race, workclass, relationship, education -FROM adultCensus; -``` - -This query will return all rows from the `adultCensus` table with the columns `sex`, `nativecountry`, `race`, `workclass`, `relationship`, and `education`.",4.4883270264,DeepSeek-R1-Distill-Llama-70B,728,1.0096881171527663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, `relationship` FROM `adultCensus`","Show all income, education, sex, race, maritalstatus, occupation, relationship in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005427,"SELECT income, education, sex, race, maritalstatus, occupation, relationship -FROM adultCensus;"," - -To fetch the specified columns from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT income, education, sex, race, maritalstatus, occupation, relationship -FROM adultCensus; -``` - -This query selects the columns `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, and `relationship` from the `adultCensus` table and returns all rows.",4.8661117554,DeepSeek-R1-Distill-Llama-70B,729,1.0410859695777124,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `maritalstatus`, `relationship`, `workclass`, `sex`, `nativecountry`, `hoursperweek`, `income`, `education` FROM `adultCensus`","Show all maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005202,"SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education -FROM adultCensus;"," - -To fetch the specified columns from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education -FROM adultCensus; -```",4.3188843727,DeepSeek-R1-Distill-Llama-70B,730,1.0115295949719505,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `hoursperweek`, `race`, `maritalstatus`, `sex`, `relationship`, `nativecountry`, `income`, `occupation`, `workclass` FROM `adultCensus`","Show all hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005472,"SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass -FROM adultCensus;"," - -To fetch the specified columns from the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass -FROM adultCensus; -```",4.6022205353,DeepSeek-R1-Distill-Llama-70B,731,1.0320899021487386,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `odor` FROM `mushrooms`,Show all odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004788,SELECT DISTINCT odor FROM mushrooms;," - -To fetch all the unique values of ""odor"" from the ""mushrooms"" table, you can use the following SQL query: - -```sql -SELECT DISTINCT odor FROM mushrooms; -``` - -This query will return all unique values in the ""odor"" column of the ""mushrooms"" table.",3.7519218922,DeepSeek-R1-Distill-Llama-70B,732,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005031,SELECT gillspacing FROM mushrooms;," - -To fetch all the `gillspacing` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillspacing FROM mushrooms; -``` - -This query will return all the records in the `gillspacing` column of your `mushrooms` table.",4.2159018517,DeepSeek-R1-Distill-Llama-70B,733,1.0208195635644206,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capshape` FROM `mushrooms`,Show all capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004788,SELECT DISTINCT capshape FROM mushrooms;," - -To fetch all unique values of `capshape` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT DISTINCT capshape FROM mushrooms; -``` - -This query will return all unique values in the `capshape` column of the `mushrooms` table.",4.5581300259,DeepSeek-R1-Distill-Llama-70B,734,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capsurface` FROM `mushrooms`,Show all capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004806,SELECT capsurface FROM mushrooms;," - -To fetch all the `capsurface` values from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface FROM mushrooms; -```",4.1523137093,DeepSeek-R1-Distill-Llama-70B,735,1.0481504326138307,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `bruises` FROM `mushrooms`,Show all bruises in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005175,SELECT bruises FROM mushrooms;," - -To fetch all the bruises from the ""mushrooms"" table, you can use the following SQL query: - -```sql -SELECT bruises FROM mushrooms; -``` - -This query will return all the entries in the ""bruises"" column of the ""mushrooms"" table.",5.3114528656,DeepSeek-R1-Distill-Llama-70B,736,1.0017701351969992,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-ALL,SELECT * FROM `mushrooms`,Show all the rows in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000486,SELECT * FROM mushrooms;," - -To fetch all rows from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT * FROM mushrooms; -``` - -This query will return all columns (`*`) for every row in the `mushrooms` table.",3.9385690689,DeepSeek-R1-Distill-Llama-70B,737,1.0066595117348744,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006039,SELECT gillspacing FROM mushrooms;," - -To fetch all the ""gillspacing"" values from the ""mushrooms"" table, you can use the following SQL query: - -```sql -SELECT gillspacing FROM mushrooms; -```",5.6678597927,DeepSeek-R1-Distill-Llama-70B,738,0.9160859457919255,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `class` FROM `mushrooms`","Show all odor, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005031,"SELECT ""odor"", ""class"" FROM mushrooms;"," - -To fetch all the `odor` and `class` entries from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT ""odor"", ""class"" FROM mushrooms; -``` - -This query will return all rows from the `mushrooms` table, displaying only the `odor` and `class` columns.",4.3012707233,DeepSeek-R1-Distill-Llama-70B,739,1.0154799014193143,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `gillattachment`, `gillspacing` FROM `mushrooms`","Show all capcolor, gillattachment, gillspacing in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004887,"SELECT capcolor, gillattachment, gillspacing FROM mushrooms;"," - -To fetch the `capcolor`, `gillattachment`, and `gillspacing` from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capcolor, gillattachment, gillspacing FROM mushrooms; -```",3.9262661934,DeepSeek-R1-Distill-Llama-70B,740,1.0002326541365112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `gillcolor`, `odor`, `gillattachment` FROM `mushrooms`","Show all capsurface, gillcolor, odor, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004563,"SELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms;"," - -To fetch the specified columns from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms; -```",3.6152360439,DeepSeek-R1-Distill-Llama-70B,741,1.0274320414011098,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `gillcolor`, `bruises`, `gillsize`, `gillattachment` FROM `mushrooms`","Show all odor, gillcolor, bruises, gillsize, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004428,"SELECT odor, gillcolor, bruises, gillsize, gillattachment FROM mushrooms;"," - -To fetch the specified columns from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT odor, gillcolor, bruises, gillsize, gillattachment FROM mushrooms; -```",3.6025354862,DeepSeek-R1-Distill-Llama-70B,742,1.0052426980117573,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor` FROM `mushrooms`","Show all capsurface, class, odor, gillcolor, bruises, capcolor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005481,"SELECT capsurface, class, odor, gillcolor, bruises, capcolor FROM `mushrooms`;"," - -To fetch the specified columns from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capsurface, class, odor, gillcolor, bruises, capcolor FROM `mushrooms`; -```",4.9507231712,DeepSeek-R1-Distill-Llama-70B,743,1.0451998143805836,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises` FROM `mushrooms`","Show all gillattachment, gillspacing, capshape, class, capsurface, odor, bruises in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005094,"SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises FROM mushrooms;"," - -To fetch the specified columns from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises FROM mushrooms; -```",4.7096009254,DeepSeek-R1-Distill-Llama-70B,744,1.0015601021150098,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class` FROM `mushrooms`","Show all capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005499,"SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class -FROM mushrooms;"," - -To fetch the specified columns from the mushrooms table, you can use the following SQL query: - -```sql -SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class -FROM mushrooms; -```",4.2209672928,DeepSeek-R1-Distill-Llama-70B,745,1.040852969688694,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor` FROM `mushrooms`","Show all capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004968,"SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor -FROM mushrooms;"," - -To fetch the specified columns from the `mushrooms` table, you can use the following SQL query: - -```sql -SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor -FROM mushrooms; -```",4.268797636,DeepSeek-R1-Distill-Llama-70B,746,0.9998964010392072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` == 'Husband',Show the data of the table adultCensus where relationship is equal to Husband,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005553,SELECT * FROM adultCensus WHERE relationship = 'Husband';," - -To fetch the data from the `adultCensus` table where the `relationship` is equal to ""Husband"", you can use the following SQL query: - -```sql -SELECT * FROM adultCensus WHERE relationship = 'Husband'; -```",4.8718526363,DeepSeek-R1-Distill-Llama-70B,747,0.9849458067006996,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Own-child',Show the data of the table adultCensus where relationship is different from Own-child,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005157,SELECT * FROM adultCensus WHERE relationship != 'Own-child';," - -To fetch the data from the `adultCensus` table where the `relationship` is different from ""Own-child"", you can use the following SQL query: - -```sql -SELECT * FROM adultCensus WHERE relationship != 'Own-child'; -```",4.4045481682,DeepSeek-R1-Distill-Llama-70B,748,1.0249829796571976,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Wife',Show the data of the table adultCensus where relationship not equal to Wife,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005022,"SELECT * -FROM adultCensus -WHERE relationship <> 'Wife';"," - -To fetch the data from the `adultCensus` table where the `relationship` is not equal to 'Wife', you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -WHERE relationship <> 'Wife'; -```",4.0833978653,DeepSeek-R1-Distill-Llama-70B,749,1.026221846109455,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` == 'Some-college',Show the data of the table adultCensus where education is equal to Some-college,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004644,SELECT * FROM adultCensus WHERE education = 'Some-college';," - -```sql -SELECT * FROM adultCensus WHERE education = 'Some-college'; -```",3.8265073299,DeepSeek-R1-Distill-Llama-70B,750,1.0123453707022867,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != '10th',Show the data of the table adultCensus where education is different from 10th,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004878,SELECT * FROM adultCensus WHERE education <> '10th';," - -To fetch the data from the `adultCensus` table where the `education` is different from '10th', you can use the following SQL query: - -```sql -SELECT * FROM adultCensus WHERE education <> '10th'; -```",4.14194417,DeepSeek-R1-Distill-Llama-70B,751,1.0245970894392236,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != 'Masters',Show the data of the table adultCensus where education not equal to Masters,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005661,SELECT * FROM adultCensus WHERE education <> 'Masters';," - -To fetch the data from the `adultCensus` table where the `education` column is not equal to ""Masters"", you can use the following SQL query: - -```sql -SELECT * FROM adultCensus WHERE education <> 'Masters'; -```",4.9292998314,DeepSeek-R1-Distill-Llama-70B,752,1.0035493388925336,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` == 'Germany',Show the data of the table adultCensus where nativecountry is equal to Germany,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000486,"SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany';"," - -To fetch the data from the `adultCensus` table where `nativecountry` is equal to 'Germany', you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany'; -```",4.2177200317,DeepSeek-R1-Distill-Llama-70B,753,1.0473555044299676,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'United-States',Show the data of the table adultCensus where nativecountry is different from United-States,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005427,"SELECT * -FROM adultCensus -WHERE nativecountry != 'United-States';"," - -To fetch the data from the `adultCensus` table where the `nativecountry` is different from ""United-States"", you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -WHERE nativecountry != 'United-States'; -``` - -This query will return all rows from the `adultCensus` table where the `nativecountry` column does not contain the value ""United-States"".",4.3484213352,DeepSeek-R1-Distill-Llama-70B,754,1.0110998556267679,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'Mexico',Show the data of the table adultCensus where nativecountry not equal to Mexico,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005247,"SELECT * -FROM adultCensus -WHERE nativecountry != 'Mexico';"," - -To fetch the data from the `adultCensus` table where the `nativecountry` is not equal to ""Mexico,"" you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -WHERE nativecountry != 'Mexico'; -```",4.3175153732,DeepSeek-R1-Distill-Llama-70B,755,1.0013177236961968,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` > 40,Show the data of the table adultCensus where hoursperweek is greater than 40,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005166,SELECT * FROM adultCensus WHERE hoursperweek > 40;," - -To fetch the data from the `adultCensus` table where `hoursperweek` is greater than 40, you can use the following SQL query: - -```sql -SELECT * FROM adultCensus WHERE hoursperweek > 40; -```",4.3638091087,DeepSeek-R1-Distill-Llama-70B,756,1.0313739994718278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` < 60,Show the data of the table adultCensus where hoursperweek is less than 60,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005067,"SELECT * -FROM adultCensus -WHERE hoursperweek < 60;"," - -To fetch the data from the `adultCensus` table where `hoursperweek` is less than 60, you can use the following SQL query: - -```sql -SELECT * -FROM adultCensus -WHERE hoursperweek < 60; -```",4.0621581078,DeepSeek-R1-Distill-Llama-70B,757,0.9919385874838328,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` == 'attached',Show the data of the table mushrooms where gillattachment is equal to attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000549,SELECT * FROM mushrooms WHERE gillattachment = 'attached';," - -To fetch the data from the `mushrooms` table where the `gillattachment` is equal to 'attached', you can use the following SQL query: - -```sql -SELECT * FROM mushrooms WHERE gillattachment = 'attached'; -```",4.6318852901,DeepSeek-R1-Distill-Llama-70B,758,1.0209703477214211,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'attached',Show the data of the table mushrooms where gillattachment is different from attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005022,"SELECT * -FROM mushrooms -WHERE gillattachment != 'attached';"," - -To fetch the data from the `mushrooms` table where the `gillattachment` is different from 'attached', you can use the following SQL query: - -```sql -SELECT * -FROM mushrooms -WHERE gillattachment != 'attached'; -```",3.876247406,DeepSeek-R1-Distill-Llama-70B,759,1.0045503391027224,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'free',Show the data of the table mushrooms where gillattachment not equal to free,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005688,SELECT * FROM mushrooms WHERE gillattachment != 'free';," - -To fetch the data from the `mushrooms` table where the `gillattachment` is not equal to 'free', you can use the following SQL query: - -```sql -SELECT * FROM mushrooms WHERE gillattachment != 'free'; -```",5.1668567657,DeepSeek-R1-Distill-Llama-70B,760,1.0744353631572003,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` == 'narrow',Show the data of the table mushrooms where gillsize is equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005319,SELECT * FROM mushrooms WHERE gillsize = 'narrow';," - -```sql -SELECT * FROM mushrooms WHERE gillsize = 'narrow'; -```",4.5201227665,DeepSeek-R1-Distill-Llama-70B,761,0.9942736245837857,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize is different from narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004932,"SELECT * -FROM mushrooms -WHERE gillsize != 'narrow';"," - -To fetch the data from the `mushrooms` table where the `gillsize` is different from ""narrow"", you can use the following SQL query: - -```sql -SELECT * -FROM mushrooms -WHERE gillsize != 'narrow'; -```",4.750939846,DeepSeek-R1-Distill-Llama-70B,762,1.0196640265713017,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize not equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004689,SELECT * FROM mushrooms WHERE gillsize <> 'narrow';," - -To fetch the data from the `mushrooms` table where `gillsize` is not equal to 'narrow', you can use the following SQL query: - -```sql -SELECT * FROM mushrooms WHERE gillsize <> 'narrow'; -```",4.0113670826,DeepSeek-R1-Distill-Llama-70B,763,1.0560118052630443,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` == 'no',Show the data of the table mushrooms where bruises is equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004761,SELECT * FROM mushrooms WHERE bruises = 'no';," - -To fetch the data from the `mushrooms` table where the `bruises` column is equal to 'no', you can use the following SQL query: - -```sql -SELECT * FROM mushrooms WHERE bruises = 'no'; -```",4.3693816662,DeepSeek-R1-Distill-Llama-70B,764,1.02453144684164,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises is different from no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005184,SELECT * FROM mushrooms WHERE bruises != 'no';," - -To fetch the data from the `mushrooms` table where the `bruises` column is different from 'no', you can use the following SQL query: - -```sql -SELECT * FROM mushrooms WHERE bruises != 'no'; -```",4.5889413357,DeepSeek-R1-Distill-Llama-70B,765,1.005268906931247,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises not equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006381,SELECT * FROM mushrooms WHERE bruises != 'no';," - -To fetch the data from the `mushrooms` table where the `bruises` column is not equal to 'no', you can use the following SQL query: - -```sql -SELECT * FROM mushrooms WHERE bruises != 'no'; -```",5.5894081593,DeepSeek-R1-Distill-Llama-70B,766,1.0312633055732447,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `race`) FROM `adultCensus`,How many different race are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005031,SELECT COUNT(DISTINCT race) FROM adultCensus;," - -To determine how many different races are in the `adultCensus` table, you can use the following SQL query: - -```sql -SELECT COUNT(DISTINCT race) FROM adultCensus; -``` - -This query will count the number of unique values in the `race` column of the `adultCensus` table.",3.8413271904,DeepSeek-R1-Distill-Llama-70B,767,1.0514034225631232,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`,How many different nativecountry are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0006138,SELECT COUNT(DISTINCT nativecountry) FROM adultCensus;," - -To determine how many different `nativecountry` values are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT nativecountry) FROM adultCensus; -```",5.7190439701,DeepSeek-R1-Distill-Llama-70B,768,0.999090120340297,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `workclass`) FROM `adultCensus`,How many different workclass are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005346,SELECT COUNT(DISTINCT workclass) AS number_of_workclasses FROM adultCensus;," - -To determine how many different `workclass` values are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT workclass) AS number_of_workclasses FROM adultCensus; -``` - -This query will return the number of distinct `workclass` values in the `adultCensus` table.",4.4105188847,DeepSeek-R1-Distill-Llama-70B,769,1.0353906220758171,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `education`) FROM `adultCensus`,How many different education are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.00054,"SELECT COUNT(DISTINCT education) AS NumberOfEducations -FROM adultCensus;"," - -To determine how many different educations are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT education) AS NumberOfEducations -FROM adultCensus; -``` - -This query will return the number of distinct education entries in the `adultCensus` table.",4.6111626625,DeepSeek-R1-Distill-Llama-70B,770,1.0002676501966978,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `income`) FROM `adultCensus`,How many different income are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005481,SELECT COUNT(DISTINCT income) FROM adultCensus;," - -To determine how many different incomes are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT income) FROM adultCensus; -```",5.0470001698,DeepSeek-R1-Distill-Llama-70B,771,0.9947129538918759,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`hoursperweek`) FROM `adultCensus`,Find the maximum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004248,SELECT MAX(hoursperweek) FROM adultCensus;," - -To find the maximum `hoursperweek` for the table `adultCensus`, you can use the SQL `MAX()` function. Here is the SQL code: - -```sql -SELECT MAX(hoursperweek) FROM adultCensus; -```",3.5431950092,DeepSeek-R1-Distill-Llama-70B,772,1.0459557629955958,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`hoursperweek`) FROM `adultCensus`,Find the minimum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004599,"SELECT MIN(hoursperweek) AS minimum_hours -FROM adultCensus;"," - -To find the minimum `hoursperweek` for the table `adultCensus`, you can use the SQL `MIN()` function. Here is the SQL code: - -```sql -SELECT MIN(hoursperweek) AS minimum_hours -FROM adultCensus; -``` - -This query will return the smallest value in the `hoursperweek` column of the `adultCensus` table.",3.8129837513,DeepSeek-R1-Distill-Llama-70B,773,1.0055672736633186,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`hoursperweek`) FROM `adultCensus`,Find the average hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004797,SELECT AVG(hoursperweek) FROM adultCensus;," - -To find the average `hoursperweek` for the table `adultCensus`, you can use the SQL `AVG()` function. Here is the SQL code: - -```sql -SELECT AVG(hoursperweek) FROM adultCensus; -```",3.8367807865,DeepSeek-R1-Distill-Llama-70B,774,1.0093842014825545,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`,How many different capsurface are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004725,SELECT COUNT(DISTINCT capsurface) FROM mushrooms;," - -To determine how many different `capsurface` values are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT capsurface) FROM mushrooms; -```",4.3293659687,DeepSeek-R1-Distill-Llama-70B,775,1.0095853591696624,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`,How many different gillattachment are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005283,SELECT COUNT(DISTINCT gillattachment) FROM mushrooms;," - -To determine how many different `gillattachment` values are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT gillattachment) FROM mushrooms; -```",8.6530900002,DeepSeek-R1-Distill-Llama-70B,776,1.0517870389436628,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `odor`) FROM `mushrooms`,How many different odor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005175,SELECT COUNT(DISTINCT odor) FROM mushrooms;," - -To determine how many different odors are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT odor) FROM mushrooms; -```",4.6822214127,DeepSeek-R1-Distill-Llama-70B,777,1.0044553627688464,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`,How many different gillsize are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.000513,SELECT COUNT(DISTINCT gillsize) AS distinct_gillsize_count FROM mushrooms;," - -To determine how many different `gillsize` values are in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT gillsize) AS distinct_gillsize_count FROM mushrooms; -``` - -This query will return the number of unique `gillsize` values in your `mushrooms` table.",4.5084087849,DeepSeek-R1-Distill-Llama-70B,778,1.0359498442201784,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`,How many different gillcolor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0005544,"SELECT COUNT(DISTINCT ""gillcolor"") FROM mushrooms;"," - -To determine how many different `gillcolor` values are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column. - -Here is the SQL code to fetch the answer: - -```sql -SELECT COUNT(DISTINCT ""gillcolor"") FROM mushrooms; -```",5.2799110413,DeepSeek-R1-Distill-Llama-70B,779,1.0058887811520387,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `devicetype` FROM `fitnessTrackers`,Show the different devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.88e-05,"SELECT DISTINCT devicetype -FROM fitnessTrackers;","```sql -SELECT DISTINCT devicetype -FROM fitnessTrackers; -``` - -This SQL query will return the different device types in the `fitnessTrackers` table. The `DISTINCT` keyword is used to return only unique values.",0.5651307106,llama-8,0,1.0711159517146818,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `modelname` FROM `fitnessTrackers`,Show the different modelname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.86e-05,"SELECT DISTINCT modelname -FROM fitnessTrackers;","```sql -SELECT DISTINCT modelname -FROM fitnessTrackers; -``` - -This SQL query will return a list of unique model names from the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3291196823,llama-8,1,1.0324130342309443,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `color` FROM `fitnessTrackers`,Show the different color in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.8e-05,"SELECT DISTINCT color -FROM fitnessTrackers;","```sql -SELECT DISTINCT color -FROM fitnessTrackers; -``` - -This SQL query will return a list of unique colors from the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values.",0.4707503319,llama-8,2,1.0215990853030137,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `display` FROM `fitnessTrackers`,Show the different display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.88e-05,"SELECT DISTINCT display -FROM fitnessTrackers;","```sql -SELECT DISTINCT display -FROM fitnessTrackers; -``` - -This SQL query will return all the different display types in the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values from the result set.",0.4949100018,llama-8,3,1.0134173570958283,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `brandname` FROM `fitnessTrackers`,Show the different brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.86e-05,"SELECT DISTINCT brandname -FROM fitnessTrackers;","```sql -SELECT DISTINCT brandname -FROM fitnessTrackers; -``` - -This SQL query will return a list of unique brand names from the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values.",0.4370791912,llama-8,4,1.0000721542730735,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `transactionno` FROM `salesTransactions`,Show the different transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.8e-05,"SELECT DISTINCT transactionno -FROM salesTransactions;","```sql -SELECT DISTINCT transactionno -FROM salesTransactions; -``` - -This SQL query will return a list of unique transaction numbers from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate values.",0.4046006203,llama-8,5,1.0556459687484605,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `date` FROM `salesTransactions`,Show the different date in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.74e-05,"SELECT DISTINCT date -FROM salesTransactions;","```sql -SELECT DISTINCT date -FROM salesTransactions; -``` - -This SQL query will return a list of unique dates from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate dates.",0.309974432,llama-8,6,0.998807608014124,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productno` FROM `salesTransactions`,Show the different productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.8e-05,"SELECT DISTINCT productno -FROM salesTransactions;","```sql -SELECT DISTINCT productno -FROM salesTransactions; -``` - -This SQL query will return a list of unique product numbers from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3874471188,llama-8,7,0.9771683165812393,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `productname` FROM `salesTransactions`,Show the different productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.8e-05,"SELECT DISTINCT productname -FROM salesTransactions;","```sql -SELECT DISTINCT productname -FROM salesTransactions; -``` - -This SQL code will fetch all the unique product names from the `salesTransactions` table. The `DISTINCT` keyword is used to return only unique values.",0.3860538006,llama-8,8,1.0526035627463461,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `country` FROM `salesTransactions`,Show the different country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.74e-05,"SELECT DISTINCT country -FROM salesTransactions;","```sql -SELECT DISTINCT country -FROM salesTransactions; -``` - -This SQL query will return a list of unique countries from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3709266186,llama-8,9,0.9903232872624819,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `display`, COUNT(*) FROM `fitnessTrackers` GROUP BY `display`","For each display, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.84e-05,"SELECT - ft.display, - COUNT(*) as total_rows -FROM - fitnessTrackers ft -GROUP BY - ft.display;","```sql -SELECT - ft.display, - COUNT(*) as total_rows -FROM - fitnessTrackers ft -GROUP BY - ft.display; -``` - -This SQL query will return a list of unique display names from the `fitnessTrackers` table along with the count of rows for each display. The `GROUP BY` clause groups the rows by the `display` column, and the `COUNT(*)` function counts the number of rows in each group.",0.6024434566,llama-8,10,1.0062628738192758,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `devicetype`, COUNT(*) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.26e-05,"SELECT - devicetype, - COUNT(*) as count -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - COUNT(*) as count -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return a list of device types along with the count of rows for each device type in the `fitnessTrackers` table.",0.4547359943,llama-8,11,0.9913667920582687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `modelname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `modelname`","For each modelname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.98e-05,"SELECT - modelname, - COUNT(*) as row_count -FROM - fitnessTrackers -GROUP BY - modelname;","```sql -SELECT - modelname, - COUNT(*) as row_count -FROM - fitnessTrackers -GROUP BY - modelname; -``` - -This SQL query will return a list of model names along with the count of rows for each model in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the rows by the `modelname` column, and the `COUNT(*)` function is used to count the number of rows in each group.",0.4331688881,llama-8,12,1.022341594159318,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `strapmaterial`, COUNT(*) FROM `fitnessTrackers` GROUP BY `strapmaterial`","For each strapmaterial, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.9e-05,"SELECT - strapmaterial, - COUNT(*) as count -FROM - fitnessTrackers -GROUP BY - strapmaterial;","```sql -SELECT - strapmaterial, - COUNT(*) as count -FROM - fitnessTrackers -GROUP BY - strapmaterial; -``` - -This SQL query will return a list of unique strap materials from the `fitnessTrackers` table, along with the count of rows for each strap material. The `GROUP BY` clause groups the rows by the `strapmaterial` column, and the `COUNT(*)` function counts the number of rows in each group.",0.4302167892,llama-8,13,0.9994741294056367,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-COUNT,"SELECT `brandname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `brandname`","For each brandname, count the number of rows in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.68e-05,"SELECT brandname, COUNT(*) as count -FROM fitnessTrackers -GROUP BY brandname;","```sql -SELECT brandname, COUNT(*) as count -FROM fitnessTrackers -GROUP BY brandname; -``` - -This SQL query will return a list of brand names along with the count of rows for each brand in the `fitnessTrackers` table. The `GROUP BY` clause groups the rows by the `brandname` column, and the `COUNT(*)` function counts the number of rows in each group.",0.6888914108,llama-8,14,1.0398798432850593,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.88e-05,"SELECT - devicetype, - MIN(sellingprice) AS min_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - MIN(sellingprice) AS min_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return the minimum selling price for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MIN` function calculates the minimum `sellingprice` for each group.",0.5162961483,llama-8,15,1.0058911378769322,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.9e-05,"SELECT - devicetype, - MAX(sellingprice) AS max_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - MAX(sellingprice) AS max_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return the maximum selling price for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MAX` function calculates the maximum `sellingprice` for each group.",0.7975995541,llama-8,16,0.9934540990827544,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.92e-05,"SELECT - devicetype, - AVG(sellingprice) AS avg_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - AVG(sellingprice) AS avg_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return the average selling price for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `AVG` function calculates the average `sellingprice` for each group.",0.4867603779,llama-8,17,1.0110710606232216,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.54e-05,"SELECT - devicetype, - SUM(sellingprice) AS total_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - ft.devicetype, - SUM(st.price * st.quantity) AS total_selling_price -FROM - fitnessTrackers ft -JOIN - salesTransactions st ON ft.modelname = st.productname -GROUP BY - ft.devicetype; -``` - -This SQL query will return the sum of selling price for each device type in the `fitnessTrackers` table. The `JOIN` clause is used to link the `fitnessTrackers` table with the `salesTransactions` table based on the `modelname` column. The `GROUP BY` clause is then used to group the results by `devicetype`. - -However, if you want to get the sum of selling price directly from the `fitnessTrackers` table, you can use the following query: - -```sql -SELECT - devicetype, - SUM(sellingprice) AS total_selling_price -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This query will return the sum of selling price for each device type in the `fitnessTrackers` table.",1.1522250175,llama-8,18,1.0105715036546534,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `devicetype`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.12e-05,"SELECT - devicetype, - MIN(averagebatterylife) AS min_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - MIN(averagebatterylife) AS min_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return the minimum average battery life for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MIN` function calculates the minimum `averagebatterylife` for each group.",0.5367081165,llama-8,19,1.009159355880121,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `devicetype`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.12e-05,"SELECT - devicetype, - MAX(averagebatterylife) AS max_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - MAX(averagebatterylife) AS max_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return the maximum average battery life for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MAX` function calculates the maximum `averagebatterylife` for each group.",0.7272381783,llama-8,20,1.0282824293491468,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `devicetype`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.44e-05,"SELECT - devicetype, - AVG(averagebatterylife) AS avg_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - AVG(averagebatterylife) AS avg_averagebatterylife -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return the average of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by `devicetype`, and the `AVG` function is used to calculate the average of `averagebatterylife` for each group.",0.5066270828,llama-8,21,1.0196216360925587,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `devicetype`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","For each devicetype, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.16e-05,"SELECT - devicetype, - SUM(averagebatterylife) AS total_average_batterylife -FROM - fitnessTrackers -GROUP BY - devicetype;","```sql -SELECT - devicetype, - SUM(averagebatterylife) AS total_average_batterylife -FROM - fitnessTrackers -GROUP BY - devicetype; -``` - -This SQL query will return the sum of averagebatterylife for each devicetype in the fitnessTrackers table. The GROUP BY clause is used to group the results by devicetype, and the SUM function is used to calculate the sum of averagebatterylife for each group.",0.4890780449,llama-8,22,1.0088082434837213,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.98e-05,"SELECT - display, - MIN(sellingprice) AS min_selling_price -FROM - fitnessTrackers -GROUP BY - display;","```sql -SELECT - display, - MIN(sellingprice) AS min_selling_price -FROM - fitnessTrackers -GROUP BY - display; -``` - -This SQL query will return the display type and the minimum selling price for each display type in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by the `display` column, and the `MIN` function is used to find the minimum `sellingprice` for each group.",0.4364309311,llama-8,23,1.0108960357435584,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.1e-05,"SELECT - display, - MAX(sellingprice) AS max_selling_price -FROM - fitnessTrackers -GROUP BY - display;","```sql -SELECT - display, - MAX(sellingprice) AS max_selling_price -FROM - fitnessTrackers -GROUP BY - display; -``` - -This SQL query will return the display and the maximum selling price for each display in the `fitnessTrackers` table. - -Here's how it works: - -- `SELECT display, MAX(sellingprice) AS max_selling_price`: This selects the `display` column and the maximum `sellingprice` for each group of rows with the same `display` value. The `AS max_selling_price` part gives an alias to the `MAX(sellingprice)` column, making it easier to read the output. - -- `FROM fitnessTrackers`: This specifies the table to query, which is `fitnessTrackers`. - -- `GROUP BY display`: This groups the rows in the `fitnessTrackers` table by the `display` column. This is necessary because the `MAX(sellingprice)` function requires a group of rows to operate on.",0.8845455647,llama-8,24,1.005215789348135,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.52e-05,"SELECT - ft.display, - AVG(st.price) AS avg_selling_price -FROM - fitnessTrackers ft -JOIN - salesTransactions st ON ft.modelname = st.productname -GROUP BY - ft.display;","```sql -SELECT - ft.display, - AVG(st.price) AS avg_selling_price -FROM - fitnessTrackers ft -JOIN - salesTransactions st ON ft.modelname = st.productname -GROUP BY - ft.display; -``` - -This SQL query will return the display and the average selling price for each display in the `fitnessTrackers` table. The `JOIN` clause is used to link the `fitnessTrackers` table with the `salesTransactions` table based on the `modelname` column. The `GROUP BY` clause is used to group the results by the `display` column.",0.596832037,llama-8,25,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of sellingprice in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.56e-05,"SELECT - ft.display, - SUM(ft.sellingprice) AS total_selling_price -FROM - fitnessTrackers ft -GROUP BY - ft.display;","```sql -SELECT - ft.display, - SUM(st.price * ft.quantity) AS total_selling_price -FROM - salesTransactions st -JOIN - fitnessTrackers ft ON st.productno = ft.modelname -GROUP BY - ft.display; -``` - -This SQL query will return the display and the total selling price for each display. The total selling price is calculated by multiplying the price of each transaction by the quantity and then summing these values for each display. - -However, if you want to get the sum of sellingprice from the fitnessTrackers table, you can use the following query: - -```sql -SELECT - ft.display, - SUM(ft.sellingprice) AS total_selling_price -FROM - fitnessTrackers ft -GROUP BY - ft.display; -``` - -This query will return the display and the sum of sellingprice for each display.",0.8166952133,llama-8,26,1.0363476752465097,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MIN,"SELECT `display`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the min of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.06e-05,"SELECT - display, - MIN(averagebatterylife) AS min_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display;","```sql -SELECT - display, - MIN(averagebatterylife) AS min_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display; -``` - -This SQL query will return the display and the minimum average battery life for each display in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by the `display` column, and the `MIN` function calculates the minimum `averagebatterylife` for each group.",0.4176995754,llama-8,27,1.0024748070611464,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-MAX,"SELECT `display`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the max of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.08e-05,"SELECT - display, - MAX(averagebatterylife) AS max_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display;","```sql -SELECT - display, - MAX(averagebatterylife) AS max_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display; -``` - -This SQL query will return the display and the maximum average battery life for each display in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by the `display` column, and the `MAX` function calculates the maximum `averagebatterylife` for each group.",0.4539299011,llama-8,28,1.0350724436402097,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-AVG,"SELECT `display`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the avg of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.32e-05,"SELECT - display, - AVG(averagebatterylife) AS avg_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display;","```sql -SELECT - display, - AVG(averagebatterylife) AS avg_averagebatterylife -FROM - fitnessTrackers -GROUP BY - display; -``` - -This SQL query will return the display type and the average average battery life for each display type in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by the `display` column, and the `AVG` function is used to calculate the average of the `averagebatterylife` column for each group.",0.6006085873,llama-8,29,1.0092352385670027,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,GROUPBY,GROUPBY-AGG-SUM,"SELECT `display`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","For each display, find the sum of averagebatterylife in table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.28e-05,"SELECT - ft.display, - SUM(ft.averagebatterylife) AS total_average_batterylife -FROM - fitnessTrackers ft -GROUP BY - ft.display;","```sql -SELECT - ft.display, - SUM(ft.averagebatterylife) AS total_average_batterylife -FROM - fitnessTrackers ft -GROUP BY - ft.display; -``` - -This SQL query will return the display and the sum of average battery life for each display in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by the `display` column, and the `SUM` function is used to calculate the sum of `averagebatterylife` for each group.",0.7561738491,llama-8,30,1.0086003620392552,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `transactionno`, COUNT(*) FROM `salesTransactions` GROUP BY `transactionno`","For each transactionno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.44e-05,"SELECT - transactionno, - COUNT(*) as row_count -FROM - salesTransactions -GROUP BY - transactionno;","```sql -SELECT - transactionno, - COUNT(*) as row_count -FROM - salesTransactions -GROUP BY - transactionno; -``` - -This SQL query will return a list of transaction numbers along with the count of rows for each transaction number in the `salesTransactions` table. - -Here's how it works: - -- `SELECT transactionno, COUNT(*) as row_count`: This selects the `transactionno` column and counts the number of rows for each group using the `COUNT(*)` function. The `as row_count` part gives an alias to the count column, making it easier to read. - -- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`. - -- `GROUP BY transactionno`: This groups the rows by the `transactionno` column, so that the count is calculated separately for each transaction number.",0.6618976593,llama-8,31,1.0050003249703534,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `date`, COUNT(*) FROM `salesTransactions` GROUP BY `date`","For each date, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.9e-05,"SELECT - date, - COUNT(*) as total_transactions -FROM - salesTransactions -GROUP BY - date -ORDER BY - date;","```sql -SELECT - date, - COUNT(*) as total_transactions -FROM - salesTransactions -GROUP BY - date -ORDER BY - date; -``` - -This SQL query will return a list of dates with the total number of transactions for each date. The `GROUP BY` clause groups the rows by the `date` column, and the `COUNT(*)` function counts the number of rows in each group. The `ORDER BY` clause sorts the results by date.",0.5296103954,llama-8,32,1.039151345373397,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productno`, COUNT(*) FROM `salesTransactions` GROUP BY `productno`","For each productno, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.38e-05,"SELECT - productno, - COUNT(*) as count -FROM - salesTransactions -GROUP BY - productno;","```sql -SELECT - productno, - COUNT(*) as count -FROM - salesTransactions -GROUP BY - productno; -``` - -This SQL query will return a list of product numbers along with the count of rows for each product number in the `salesTransactions` table. - -Here's how it works: - -- `SELECT productno, COUNT(*) as count`: This selects the `productno` column and counts the number of rows for each group using the `COUNT(*)` function. The `as count` part gives an alias to the count column, making it easier to read. - -- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`. - -- `GROUP BY productno`: This groups the rows by the `productno` column, so that the count is calculated for each product number separately.",0.6724514961,llama-8,33,1.0409428013138506,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `productname`, COUNT(*) FROM `salesTransactions` GROUP BY `productname`","For each productname, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.44e-05,"SELECT - productname, - COUNT(*) as count -FROM - salesTransactions -GROUP BY - productname;","```sql -SELECT - productname, - COUNT(*) as count -FROM - salesTransactions -GROUP BY - productname; -``` - -This SQL query will return a list of product names along with the count of rows for each product name in the `salesTransactions` table. - -Here's how it works: - -- `SELECT productname, COUNT(*) as count`: This selects the `productname` column and counts the number of rows for each group using the `COUNT(*)` function. The `as count` part gives an alias to the count column, making it easier to read. - -- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`. - -- `GROUP BY productname`: This groups the results by the `productname` column. This means that the count will be calculated separately for each product name.",0.9986021519,llama-8,34,0.9998993930775517,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-COUNT,"SELECT `country`, COUNT(*) FROM `salesTransactions` GROUP BY `country`","For each country, count the number of rows in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.7e-05,"SELECT - country, - COUNT(*) as transaction_count -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - COUNT(*) as transaction_count -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return a list of countries along with the number of rows in the `salesTransactions` table for each country. The `GROUP BY` clause groups the rows by the `country` column, and the `COUNT(*)` function counts the number of rows in each group.",0.6246201992,llama-8,35,1.0119836527723223,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.52e-05,"SELECT date, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY date;","```sql -SELECT date, MIN(customerno) AS min_customerno -FROM salesTransactions -GROUP BY date; -``` - -This SQL query will return the minimum customer number for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `date` column, and the `MIN` function calculates the minimum `customerno` for each group.",0.4563026428,llama-8,36,1.0053558375076543,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.6e-05,"SELECT - date, - MAX(customerno) AS max_customerno -FROM - salesTransactions -GROUP BY - date;","```sql -SELECT - date, - MAX(customerno) AS max_customerno -FROM - salesTransactions -GROUP BY - date; -``` - -This SQL query will return the maximum customer number for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by date, and the `MAX` function is used to find the maximum customer number for each group.",0.4371550083,llama-8,37,1.0023875497005388,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.52e-05,"SELECT - date, - AVG(customerno) AS avg_customerno -FROM - salesTransactions -GROUP BY - date -ORDER BY - date;","```sql -SELECT - date, - AVG(customerno) AS avg_customerno -FROM - salesTransactions -GROUP BY - date -ORDER BY - date; -``` - -This SQL query will return the average number of customers for each date in the `salesTransactions` table. The results will be sorted by date. - -Note: The `customerno` column is defined as REAL in the database schema, but it's likely that it should be INTEGER, as it represents a customer number. If this is the case, you may want to consider changing the data type to INTEGER to avoid potential issues with floating-point precision.",0.87621665,llama-8,38,0.9895489267877097,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.7e-05,"SELECT - date, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - date;","```sql -SELECT - date, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - date; -``` - -This SQL query will return a list of dates with the total number of customers who made a purchase on each date. The `GROUP BY` clause groups the results by the `date` column, and the `SUM` function calculates the total number of customers for each group.",0.4287109375,llama-8,39,1.0077264702292617,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `date`, MIN(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.56e-05,"SELECT - date, - MIN(price) AS min_price -FROM - salesTransactions -GROUP BY - date;","```sql -SELECT - date, - MIN(price) AS min_price -FROM - salesTransactions -GROUP BY - date; -``` - -This SQL query will return the minimum price for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `date` column, and the `MIN` function calculates the minimum `price` for each group.",0.5912532806,llama-8,40,1.0153589999003565,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `date`, MAX(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.56e-05,"SELECT - date, - MAX(price) AS max_price -FROM - salesTransactions -GROUP BY - date;","```sql -SELECT - date, - MAX(price) AS max_price -FROM - salesTransactions -GROUP BY - date; -``` - -This SQL query will return the maximum price for each date in the `salesTransactions` table. The `GROUP BY` clause groups the rows by the `date` column, and the `MAX` function calculates the maximum `price` for each group.",0.375174284,llama-8,41,1.008246587526743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `date`, AVG(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.54e-05,"SELECT - date, - AVG(price) AS avg_price -FROM - salesTransactions -GROUP BY - date;","```sql -SELECT - date, - AVG(price) AS avg_price -FROM - salesTransactions -GROUP BY - date; -``` - -This SQL query will return the average price for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `date` column, and the `AVG` function calculates the average price for each group.",0.4705131054,llama-8,42,1.0176822183791392,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `date`, SUM(`price`) FROM `salesTransactions` GROUP BY `date`","For each date, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.84e-05,"SELECT - date, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - date -ORDER BY - date;","```sql -SELECT - date, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - date -ORDER BY - date; -``` - -This SQL query will return the sum of prices for each date in the `salesTransactions` table. The results will be sorted by date in ascending order. - -Note: The `customerno` field in the `salesTransactions` table is defined as REAL, which is typically used for floating-point numbers. However, in this context, it seems more likely that it should be an INTEGER or a string (e.g., a customer ID). If this is the case, you may want to consider changing the data type to a more suitable one.",0.8789641857,llama-8,43,1.0078322629783,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.5e-05,"SELECT - country, - MIN(customerno) AS min_customerno -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - MIN(customerno) AS min_customerno -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the country and the minimum customer number for each country in the `salesTransactions` table. - -Here's how it works: - -- `SELECT country, MIN(customerno) AS min_customerno`: This selects the country and the minimum customer number for each country. The `AS` keyword is used to give an alias to the column, which is `min_customerno` in this case. - -- `FROM salesTransactions`: This specifies the table from which to select the data. - -- `GROUP BY country`: This groups the rows by the country. This is necessary because the `MIN` function is used, which requires the data to be grouped by the column for which the minimum is being calculated.",1.2252421379,llama-8,44,1.0230643226018248,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7e-05,"SELECT - country, - MAX(customerno) AS max_customerno -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - MAX(customerno) AS max_customerno -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the country and the maximum customer number for each country in the `salesTransactions` table. - -Here's how it works: - -- `SELECT country, MAX(customerno) AS max_customerno`: This selects the country and the maximum customer number for each country. The `MAX` function is used to find the maximum value in the `customerno` column. - -- `FROM salesTransactions`: This specifies the table from which to select the data. - -- `GROUP BY country`: This groups the result by country, so that the maximum customer number is found for each country separately.",0.7886602879,llama-8,45,1.0197279231568743,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.66e-05,"SELECT - country, - AVG(customerno) AS avg_customerno -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - AVG(customerno) AS avg_customerno -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the average number of customers for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by country, and the `AVG` function calculates the average value of `customerno` for each group.",0.4384329319,llama-8,46,1.002456167422395,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of customerno in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.12e-05,"SELECT - country, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - SUM(customerno) AS total_customers -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the sum of `customerno` for each country in the `salesTransactions` table. The `GROUP BY` clause is used to group the results by country, and the `SUM` function is used to calculate the total number of customers for each country. The result is a table with two columns: `country` and `total_customers`.",0.4795119762,llama-8,47,1.0577658272856765,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MIN,"SELECT `country`, MIN(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the min of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.8e-05,"SELECT - country, - MIN(price) AS min_price -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - MIN(price) AS min_price -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the minimum price for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by country, and the `MIN` function calculates the minimum price for each group. The result is a table with two columns: `country` and `min_price`.",0.5833339691,llama-8,48,0.9959857038393234,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-MAX,"SELECT `country`, MAX(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the max of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.02e-05,"SELECT - country, - MAX(price) AS max_price -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - MAX(price) AS max_price -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the country and the maximum price for each country in the `salesTransactions` table. - -Here's how it works: - -- `SELECT country, MAX(price) AS max_price`: This selects the country and the maximum price for each country. The `MAX(price)` function returns the maximum value in the `price` column for each group of rows with the same `country` value. The `AS max_price` part gives an alias to the `MAX(price)` column, so it's easier to read the output. - -- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`. - -- `GROUP BY country`: This groups the rows in the `salesTransactions` table by the `country` column. This is necessary because the `MAX(price)` function needs to know which rows to consider for each country.",0.8392083645,llama-8,49,1.007986208297328,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-AVG,"SELECT `country`, AVG(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the avg of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.48e-05,"SELECT - country, - AVG(price) AS avg_price -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - AVG(price) AS avg_price -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the average price for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by country, and the `AVG` function calculates the average price for each group.",0.7435281277,llama-8,50,1.0264245758338968,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,GROUPBY,GROUPBY-AGG-SUM,"SELECT `country`, SUM(`price`) FROM `salesTransactions` GROUP BY `country`","For each country, find the sum of price in table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.56e-05,"SELECT - country, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - country;","```sql -SELECT - country, - SUM(price) AS total_price -FROM - salesTransactions -GROUP BY - country; -``` - -This SQL query will return the sum of prices for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `country` column, and the `SUM` function calculates the total price for each group.",0.4206302166,llama-8,51,1.0243906744358098,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) >= 1,Find all the modelname that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.46e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) > 0; -``` - -This SQL query will return all the model names that have at least one record in the `fitnessTrackers` table. - -However, since the condition `COUNT(*) > 0` is always true for any non-empty group, the query can be simplified to: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname; -``` - -This query will return all the model names that have at least one record in the `fitnessTrackers` table.",0.5254762173,llama-8,52,0.9857841118778777,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) <= 1,Find all the modelname that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.42e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1;","```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING COUNT(*) <= 1; -``` - -This SQL query works as follows: - -- `GROUP BY modelname` groups the rows in the `fitnessTrackers` table by the `modelname` column. -- `COUNT(*)` counts the number of rows in each group. -- `HAVING COUNT(*) <= 1` filters the groups to only include those with 1 or 0 rows, effectively finding all model names that have at most 1 record in the `fitnessTrackers` table.",0.6039545536,llama-8,53,1.0357409610478852,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) >= 1,Find all the color that have at least 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.92e-05,"SELECT DISTINCT color -FROM fitnessTrackers;","```sql -SELECT DISTINCT color -FROM fitnessTrackers; -``` - -This SQL query will fetch all the distinct colors from the `fitnessTrackers` table. The `DISTINCT` keyword is used to return only unique values.",0.4346520901,llama-8,54,0.9743846933267846,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) <= 1,Find all the color that have at most 1 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.44e-05,"SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(color) <= 1;","```sql -SELECT color -FROM fitnessTrackers -GROUP BY color -HAVING COUNT(color) <= 1; -``` - -This SQL query will return all the colors that have at most 1 record in the `fitnessTrackers` table. - -Here's how it works: - -- `GROUP BY color` groups the rows in the `fitnessTrackers` table by the `color` column. -- `COUNT(color)` counts the number of rows in each group. -- `HAVING COUNT(color) <= 1` filters the groups to only include those with a count of 1 or less.",0.5874199867,llama-8,55,1.0074783339334952,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) >= 4,Find all the display that have at least 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.24e-05,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4;","```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(*) >= 4; -``` - -This SQL query will return all the unique display types that have at least 4 records in the `fitnessTrackers` table. - -Here's how it works: - -- `GROUP BY display` groups the records by the `display` column. -- `COUNT(*)` counts the number of records in each group. -- `HAVING COUNT(*) >= 4` filters the groups to only include those with 4 or more records.",0.5442478657,llama-8,56,1.030114553428823,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-COUNT,SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) <= 4,Find all the display that have at most 4 records in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.78e-05,"SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(display) <= 4;","```sql -SELECT display -FROM fitnessTrackers -GROUP BY display -HAVING COUNT(display) <= 4; -``` - -This SQL query will return all the unique display types that have at most 4 records in the `fitnessTrackers` table. The `GROUP BY` clause groups the rows by the `display` column, and the `HAVING` clause filters the groups to only include those with 4 or fewer records.",0.4658241272,llama-8,57,1.0226166813339368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) >= 8.81,List the strapmaterial which average of averagebatterylife is at least 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.7e-05,"SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife >= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 0.881;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife / (SELECT COUNT(*) FROM fitnessTrackers) * 100 >= 881; -``` - -However, the above query is not the most efficient way to achieve the desired result. The subquery is calculating the average of averagebatterylife for all rows in the table, which is not necessary. We can simply calculate the average of averagebatterylife and then use it in the WHERE clause. - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife >= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 0.881; -``` - -This query will return all strapmaterial values where the averagebatterylife is at least 8.81 times the average of averagebatterylife in the table.",0.7682902813,llama-8,58,0.0,0.75,1.0,0.0,0.333,0.333,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) <= 8.81,List the strapmaterial which average of averagebatterylife is at most 8.81 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.44e-05,"SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife <= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 8.81 / 100;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife / (SELECT COUNT(*) FROM fitnessTrackers) * 100 <= 8.81; -``` - -However, the above SQL query will not give the desired result because it will divide the averagebatterylife by the total number of rows in the table and then multiply by 100. This is not the correct way to calculate the average. - -To get the desired result, you should first calculate the average of averagebatterylife and then use that in the WHERE clause. Here's the correct SQL query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE averagebatterylife <= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 8.81 / 100; -``` - -This query will first calculate the average of averagebatterylife and then multiply it by 8.81/100. It will then select the strapmaterial where averagebatterylife is less than or equal to this value.",0.7096409798,llama-8,59,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) >= 32.4,List the strapmaterial which summation of averagebatterylife is at least 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.94e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE SUM(averagebatterylife) >= 32.4; -``` - -However, the above SQL query will not work as expected because the `SUM` function is being used in the `WHERE` clause, which is not allowed in SQL. The `SUM` function is an aggregate function that requires a `GROUP BY` clause to work correctly. - -To fix this issue, we need to use a subquery or a `HAVING` clause. Here's how you can do it: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) >= 32.4; -``` - -This SQL query will return all the `strapmaterial` values from the `fitnessTrackers` table where the sum of the `averagebatterylife` values is at least 32.4.",0.8572802544,llama-8,60,1.0467007461054374,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) <= 32.4,List the strapmaterial which summation of averagebatterylife is at most 32.4 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.82e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) / COUNT(averagebatterylife) <= 32.4;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE SUM(averagebatterylife) / COUNT(averagebatterylife) <= 32.4; -``` - -However, the above SQL query may not work as expected because the `SUM` function is being used on a column that is an integer, and the result is being divided by the count of the same column. This will not give the desired result. - -A more accurate query would be: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(averagebatterylife) / COUNT(averagebatterylife) <= 32.4; -``` - -This query will group the results by `strapmaterial` and then apply the condition to the sum of `averagebatterylife` divided by the count of `averagebatterylife` for each group.",0.6954753399,llama-8,61,0.0,0.6,1.0,0.0,0.6,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) >= 19076.5,List the strapmaterial which average of sellingprice is at least 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.42e-05,"SELECT strapmaterial, AVG(sellingprice) as average_selling_price -FROM fitnessTrackers -WHERE sellingprice >= 19076.5 -GROUP BY strapmaterial;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice >= 19076.5 -GROUP BY strapmaterial -HAVING AVG(sellingprice) >= 19076.5; -``` - -This SQL query will return the strapmaterial from the fitnessTrackers table where the average selling price is at least 19076.5. - -However, if you want to get the average selling price for each strapmaterial, you can use the following query: - -```sql -SELECT strapmaterial, AVG(sellingprice) as average_selling_price -FROM fitnessTrackers -WHERE sellingprice >= 19076.5 -GROUP BY strapmaterial; -``` - -This query will return the strapmaterial and the average selling price for each strapmaterial where the average selling price is at least 19076.5.",0.6917967796,llama-8,62,0.0,0.333,1.0,0.0,0.667,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) <= 19076.5,List the strapmaterial which average of sellingprice is at most 19076.5 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001062,"SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers);","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers) * 0.9999; -``` - -However, the above query will return all strapmaterials where the sellingprice is less than or equal to 99.99% of the average selling price. - -If you want to get the strapmaterial where the average of sellingprice is at most 19076.5, you can use the following query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice <= 19076.5; -``` - -This query will return all strapmaterials where the sellingprice is less than or equal to 19076.5. - -If you want to get the strapmaterial where the average of sellingprice is at most 19076.5, you can use the following query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers) AND sellingprice <= 19076.5; -``` - -However, this query will return no results because the average selling price is likely to be higher than 19076.5. - -If you want to get the strapmaterial where the average of sellingprice is at most 19076.5, you can use the following query: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers); -``` - -This query will return all strapmaterials where the sellingprice is less than or equal to the average selling price.",0.9749209881,llama-8,63,0.0,0.75,1.0,0.0,0.273,0.333,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) >= 82848.0,List the strapmaterial which summation of sellingprice is at least 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.28e-05,"SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0;","```sql -SELECT strapmaterial -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) >= 82848.0; -``` - -This SQL query will return the strapmaterial(s) from the `fitnessTrackers` table where the sum of the selling price is at least 82848.0. The `GROUP BY` clause groups the results by the strapmaterial, and the `HAVING` clause filters the results to only include groups where the sum of the selling price meets the specified condition.",0.594419241,llama-8,64,1.0054151809140395,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) <= 82848.0,List the strapmaterial which summation of sellingprice is at most 82848.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001232,"SELECT strapmaterial, SUM(sellingprice) as total_sellingprice -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0;","```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE SUM(sellingprice) <= 82848.0; -``` - -However, the above SQL query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by a specific column. - -If you want to get the strapmaterial where the sum of sellingprice is at most 82848.0, you should use a subquery or a join. Here's how you can do it using a subquery: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE sellingprice IN ( - SELECT sellingprice - FROM fitnessTrackers - GROUP BY sellingprice - HAVING SUM(sellingprice) <= 82848.0 -); -``` - -This query will return all strapmaterials where the sum of sellingprice is at most 82848.0. - -However, if you want to get the strapmaterial where the sum of sellingprice for each strapmaterial is at most 82848.0, you should use a subquery with a GROUP BY clause: - -```sql -SELECT strapmaterial -FROM fitnessTrackers -WHERE strapmaterial IN ( - SELECT strapmaterial - FROM fitnessTrackers - GROUP BY strapmaterial - HAVING SUM(sellingprice) <= 82848.0 -); -``` - -This query will return all strapmaterials where the sum of sellingprice for each strapmaterial is at most 82848.0. - -If you want to get the strapmaterial where the sum of sellingprice for each strapmaterial is at most 82848.0 and also include the sum of sellingprice for each strapmaterial, you can use a subquery with a GROUP BY clause and include the sum of sellingprice in the SELECT clause: - -```sql -SELECT strapmaterial, SUM(sellingprice) as total_sellingprice -FROM fitnessTrackers -GROUP BY strapmaterial -HAVING SUM(sellingprice) <= 82848.0; -```",1.2810497284,llama-8,65,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) >= 8.1,List the modelname which average of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.16e-05,"SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife >= 8.1; -``` - -This SQL query will return the model names of fitness trackers where the average battery life is at least 8.1.",0.4081535339,llama-8,66,0.9535536839370099,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) <= 8.1,List the modelname which average of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.4e-05,"SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife <= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife <= 8.1; -``` - -This SQL query will return the `modelname` of all fitness trackers in the `fitnessTrackers` table where the average battery life is at most 8.1 hours.",0.4567825794,llama-8,67,0.9322611250778333,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) >= 8.1,List the modelname which summation of averagebatterylife is at least 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.1e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE averagebatterylife * (SELECT COUNT(*) FROM fitnessTrackers) / (SELECT COUNT(*) FROM fitnessTrackers) >= 8.1; -``` - -However, the above SQL query will not give the desired result because it will always return 0 because the averagebatterylife is being multiplied by the total count of rows in the table and then divided by the same count which results in 0. - -To get the desired result, you should use the `AVG` function to calculate the average battery life and then filter the results to include only the model names where this average is at least 8.1. - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) >= 8.1; -``` - -This SQL query will return the model names where the average battery life is at least 8.1.",0.7673192024,llama-8,68,0.991807935338846,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) <= 8.1,List the modelname which summation of averagebatterylife is at most 8.1 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.16e-05,"SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE SUM(averagebatterylife) / COUNT(averagebatterylife) <= 8.1; -``` - -However, the above SQL query may not work as expected because the SUM function is being used on a column that is an integer, and the result is being divided by the COUNT of the same column. This will always result in an integer division, which will truncate the decimal part of the result. - -A more accurate query would be: - -```sql -SELECT modelname -FROM fitnessTrackers -GROUP BY modelname -HAVING AVG(averagebatterylife) <= 8.1; -``` - -This query groups the rows by the modelname and then calculates the average of the averagebatterylife for each group. The HAVING clause is used to filter the groups based on the condition that the average of the averagebatterylife is less than or equal to 8.1.",0.8387124538,llama-8,69,1.0069759642700897,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) >= 20712.0,List the modelname which average of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.24e-05,"SELECT modelname -FROM fitnessTrackers -WHERE sellingprice >= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE sellingprice >= 20712.0; -``` - -This SQL query will return all the model names from the `fitnessTrackers` table where the `sellingprice` is at least 20712.0.",0.3799865246,llama-8,70,0.9510809235357771,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-AVG,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) <= 20712.0,List the modelname which average of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.42e-05,"SELECT modelname -FROM fitnessTrackers -WHERE sellingprice <= 20712.0 -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE sellingprice <= 20712.0 -GROUP BY modelname -HAVING AVG(sellingprice) <= 20712.0; -``` - -This SQL query will return the model names from the `fitnessTrackers` table where the average selling price is at most 20712.0. The `GROUP BY` clause groups the results by `modelname`, and the `HAVING` clause filters the results to only include groups where the average selling price is at most 20712.0.",0.5278480053,llama-8,71,0.9773034535768084,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) >= 20712.0,List the modelname which summation of sellingprice is at least 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",9.48e-05,"SELECT ft.modelname -FROM fitnessTrackers ft -JOIN salesTransactions st ON ft.productno = st.productno -GROUP BY ft.modelname -HAVING SUM(st.price * st.quantity) >= 20712.0;","```sql -SELECT modelname -FROM fitnessTrackers -WHERE sellingprice * quantity >= 20712.0; -``` - -However, the above SQL query will not work as expected because it's trying to multiply `sellingprice` with `quantity` from the `salesTransactions` table which is not available in the `fitnessTrackers` table. - -To get the desired result, you need to join the `fitnessTrackers` table with the `salesTransactions` table on the `productno` column. But since the `productno` column is not available in the `fitnessTrackers` table, you need to first join the `fitnessTrackers` table with the `salesTransactions` table on the `productno` column and then group the result by `modelname` and sum the `sellingprice` for each `modelname`. - -Here's the correct SQL query: - -```sql -SELECT ft.modelname -FROM fitnessTrackers ft -JOIN salesTransactions st ON ft.productno = st.productno -GROUP BY ft.modelname -HAVING SUM(st.price * st.quantity) >= 20712.0; -``` - -This SQL query will return the `modelname` from the `fitnessTrackers` table where the sum of the selling price of all products is at least 20712.0.",0.7333624363,llama-8,72,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,HAVING,HAVING-AGG-SUM,SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) <= 20712.0,List the modelname which summation of sellingprice is at most 20712.0 in table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",0.0001056,"SELECT modelname -FROM ( - SELECT modelname, - SUM(sellingprice * quantity) AS total_selling_price - FROM fitnessTrackers - JOIN salesTransactions ON fitnessTrackers.modelname = salesTransactions.productname - GROUP BY modelname -) AS subquery -WHERE total_selling_price <= 20712.0","```sql -SELECT modelname -FROM fitnessTrackers -WHERE sellingprice * quantity <= 20712.0 -``` - -However, this query will not give the correct result because it will filter out rows where the quantity is 0. - -If you want to get the sum of selling price for each model, you can use the following query: - -```sql -SELECT modelname -FROM fitnessTrackers -WHERE (SELECT SUM(sellingprice * quantity) - FROM salesTransactions - WHERE productno IN (SELECT productno - FROM salesTransactions - WHERE productname = fitnessTrackers.modelname)) <= 20712.0 -``` - -This query will first calculate the sum of selling price for each model, and then filter out the models where the sum is more than 20712.0. - -However, this query will be very slow if the salesTransactions table is large. A better approach would be to use a subquery to calculate the sum of selling price for each model, and then use the result in the main query: - -```sql -SELECT modelname -FROM ( - SELECT modelname, - SUM(sellingprice * quantity) AS total_selling_price - FROM fitnessTrackers - JOIN salesTransactions ON fitnessTrackers.modelname = salesTransactions.productname - GROUP BY modelname -) AS subquery -WHERE total_selling_price <= 20712.0 -``` - -This query will first calculate the sum of selling price for each model, and then filter out the models where the sum is more than 20712.0.",1.1413576603,llama-8,73,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) >= 20,Find all the country that have at least 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.28e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) >= 20;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) >= 20; -``` - -This SQL query will return all the countries that have at least 20 records in the `salesTransactions` table. - -Here's how it works: - -- `GROUP BY country` groups the rows in the `salesTransactions` table by the `country` column. -- `COUNT(*)` counts the number of rows in each group. -- `HAVING COUNT(*) >= 20` filters the groups to only include those with 20 or more rows.",0.4799101353,llama-8,74,0.9746337983323596,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) <= 20,Find all the country that have at most 20 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.28e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) <= 20;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING COUNT(*) <= 20; -``` - -This SQL query will return all the countries that have at most 20 records in the `salesTransactions` table. - -Here's how it works: - -- `GROUP BY country` groups the rows in the `salesTransactions` table by the `country` column. -- `COUNT(*)` counts the number of rows in each group. -- `HAVING COUNT(*) <= 20` filters the groups to only include those with 20 or fewer rows.",0.436841011,llama-8,75,1.0157793659687178,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) >= 1,Find all the date that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.14e-05,"SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(date) > 0;","```sql -SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(date) > 0; -``` - -This SQL query will return all unique dates that have at least one record in the `salesTransactions` table. - -Here's how it works: - -- `GROUP BY date` groups the results by the `date` column. -- `COUNT(date)` counts the number of records for each date. -- `HAVING COUNT(date) > 0` filters the results to only include dates with at least one record.",0.5305240154,llama-8,76,1.0147915881514111,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) <= 1,Find all the date that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.32e-05,"SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(*) <= 1;","```sql -SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(*) <= 1; -``` - -This SQL query will return all the dates that have at most 1 record in the `salesTransactions` table. - -Here's how it works: - -- `GROUP BY date` groups the rows in the `salesTransactions` table by the `date` column. -- `HAVING COUNT(*) <= 1` filters the groups to only include those with 1 or 0 records. The `COUNT(*)` function counts the number of rows in each group.",0.5806758404,llama-8,77,1.0534330059129857,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) >= 1,Find all the transactionno that have at least 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.84e-05,"SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) > 0;","```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) > 0; -``` - -This SQL query will return all the unique `transactionno` values from the `salesTransactions` table that have at least one record. The `GROUP BY` clause groups the results by `transactionno`, and the `HAVING COUNT(*) > 0` clause filters the results to only include groups with at least one record.",0.5180139542,llama-8,78,1.002219781691459,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-COUNT,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) <= 1,Find all the transactionno that have at most 1 records in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.22e-05,"SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1;","```sql -SELECT transactionno -FROM salesTransactions -GROUP BY transactionno -HAVING COUNT(*) <= 1; -``` - -This SQL query works as follows: - -- `GROUP BY transactionno` groups the rows in the `salesTransactions` table by the `transactionno` column. -- `COUNT(*)` counts the number of rows in each group. -- `HAVING COUNT(*) <= 1` filters the groups to only include those with 1 or 0 rows, effectively finding all `transactionno` with at most 1 record.",0.5253500938,llama-8,79,1.0063432511515795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`price`) <= 11.95,List the country which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.72e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(price) <= 11.95; -``` - -This SQL query will return the country from the `salesTransactions` table where the average price of all transactions is at most 11.95. The `GROUP BY` clause groups the rows by country, and the `HAVING` clause filters the groups based on the average price.",0.4520356655,llama-8,80,0.9702803471014589,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) >= 238.94,List the country which summation of price is at least 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.02e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price) >= 238.94; -``` - -This SQL query will return the country from the `salesTransactions` table where the sum of the `price` column is at least 238.94. The `GROUP BY` clause groups the results by country, and the `HAVING` clause filters the results to only include countries where the sum of the `price` column meets the specified condition.",0.4053313732,llama-8,81,1.0254398754031389,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) <= 238.94,List the country which summation of price is at most 238.94 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.28e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price * quantity) <= 238.94;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(price * quantity) <= 238.94; -``` - -This SQL query will return the country where the total price of all sales transactions is at most 238.94. The `GROUP BY` clause groups the sales transactions by country, and the `HAVING` clause filters the results to only include countries where the total price is at most 238.94. The `SUM(price * quantity)` expression calculates the total price of all sales transactions for each country.",0.4557027817,llama-8,82,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) >= 15215.25,List the country which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.96e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING AVG(customerno) >= 15215.25; -``` - -This SQL query will return the country from the `salesTransactions` table where the average number of customers is at least 15215.25. The `GROUP BY` clause groups the rows by the `country` column, and the `HAVING` clause filters the groups based on the average value of `customerno`.",0.4048709869,llama-8,83,1.0398171712485647,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) <= 15215.25,List the country which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.12e-05,"SELECT country -FROM salesTransactions -WHERE customerno <= 15215.25 -GROUP BY country -HAVING AVG(customerno) <= 15215.25;","```sql -SELECT country -FROM salesTransactions -WHERE customerno <= 15215.25 -GROUP BY country -HAVING AVG(customerno) <= 15215.25; -``` - -This SQL query will return the country from the `salesTransactions` table where the average number of customers is at most 15215.25. - -Here's how it works: - -- `SELECT country`: Selects the `country` column from the `salesTransactions` table. -- `FROM salesTransactions`: Specifies the table to query. -- `WHERE customerno <= 15215.25`: Filters the results to only include rows where the `customerno` is less than or equal to 15215.25. -- `GROUP BY country`: Groups the results by the `country` column. -- `HAVING AVG(customerno) <= 15215.25`: Filters the grouped results to only include groups where the average `customerno` is less than or equal to 15215.25.",0.6476261616,llama-8,84,0.9927665349971201,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) >= 304305.0,List the country which summation of customerno is at least 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.06e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) >= 304305.0; -``` - -This SQL query will return the country(s) where the sum of `customerno` is at least 304305.0. The `GROUP BY` clause groups the rows by the `country` column, and the `HAVING` clause filters the groups to only include those where the sum of `customerno` meets the specified condition.",0.3918120861,llama-8,85,1.003332639355862,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) <= 304305.0,List the country which summation of customerno is at most 304305.0 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.94e-05,"SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0;","```sql -SELECT country -FROM salesTransactions -GROUP BY country -HAVING SUM(customerno) <= 304305.0; -``` - -This SQL query will return the country from the `salesTransactions` table where the sum of `customerno` is at most 304305.0. The `GROUP BY` clause groups the rows by the `country` column, and the `HAVING` clause filters the groups based on the condition specified.",0.5334424973,llama-8,86,1.028524932584663,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) >= 11.95,List the productname which average of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.84e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) >= 11.95; -``` - -This SQL query will return the product names from the `salesTransactions` table where the average price of each product is at least 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the average price.",0.4719045162,llama-8,87,1.0083711526606975,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) <= 11.95,List the productname which average of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.84e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(price) <= 11.95; -``` - -This SQL query will return the product names from the `salesTransactions` table where the average price of each product is at most 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the average price.",0.6199579239,llama-8,88,1.0069238291290787,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) >= 11.95,List the productname which summation of price is at least 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.88e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price) >= 11.95; -``` - -This SQL query will return the product names from the `salesTransactions` table where the sum of the prices for each product is at least 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the condition.",0.4607975483,llama-8,89,1.0362835918394129,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) <= 11.95,List the productname which summation of price is at most 11.95 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.06e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price * quantity) <= 11.95;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(price * quantity) <= 11.95; -``` - -This SQL query will return the product names where the total price of all transactions for that product is at most 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the condition that the sum of the prices is at most 11.95.",0.5192232132,llama-8,90,0.0,0.8,0.333,0.0,0.417,0.333,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) >= 15215.25,List the productname which average of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.08e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING AVG(customerno) >= 15215.25; -``` - -This SQL query will return the productname(s) from the `salesTransactions` table where the average of `customerno` is at least 15215.25. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the average value of `customerno`.",0.5227560997,llama-8,91,0.9953908844504482,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-AVG,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) <= 15215.25,List the productname which average of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.74e-05,"SELECT productname -FROM salesTransactions -WHERE customerno <= (SELECT AVG(customerno) FROM salesTransactions) * 15215.25;","```sql -SELECT productname -FROM salesTransactions -WHERE customerno <= (SELECT AVG(customerno) FROM salesTransactions) * 15215.25 / (SELECT AVG(customerno) FROM salesTransactions); -``` - -This SQL query will return the productname from the salesTransactions table where the average of customerno is at most 15215.25 times the average of customerno in the salesTransactions table. - -However, the above query may not be efficient if the average of customerno is very large, because it will be multiplied by 15215.25. A more efficient way to write this query would be: - -```sql -SELECT productname -FROM salesTransactions -WHERE customerno <= (SELECT AVG(customerno) FROM salesTransactions) * 15215.25; -``` - -This query will still return the same result, but it will be more efficient because it avoids the division operation.",0.6780412197,llama-8,92,0.0,0.55,1.0,0.0,0.55,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) >= 15215.25,List the productname which summation of customerno is at least 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.98e-05,"SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25;","```sql -SELECT productname -FROM salesTransactions -GROUP BY productname -HAVING SUM(customerno) >= 15215.25; -``` - -This SQL query will return the product names from the `salesTransactions` table where the sum of `customerno` is at least 15215.25. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the condition specified.",0.4159793854,llama-8,93,0.9997208914922363,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,HAVING,HAVING-AGG-SUM,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) <= 15215.25,List the productname which summation of customerno is at most 15215.25 in table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.5e-05,"SELECT productname -FROM salesTransactions -WHERE customerno * quantity <= 15215.25;","```sql -SELECT productname -FROM salesTransactions -WHERE customerno * quantity <= 15215.25; -``` - -This SQL query will return the productname from the salesTransactions table where the summation of customerno is at most 15215.25. The summation is calculated by multiplying customerno with quantity for each row.",0.4573633671,llama-8,94,0.0,0.75,0.273,0.0,0.364,0.273,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `brandname` FROM `fitnessTrackers` GROUP BY `brandname` HAVING COUNT(DISTINCT `devicetype`) = (SELECT COUNT(DISTINCT `devicetype`) FROM `fitnessTrackers`),What are the brandname with all the devicetype in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.86e-05,"SELECT brandname, devicetype -FROM fitnessTrackers;","```sql -SELECT brandname, devicetype -FROM fitnessTrackers; -``` - -This SQL query will fetch all the brandnames along with their respective devicetypes from the `fitnessTrackers` table.",0.4247939587,llama-8,95,0.0,0.091,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `devicetype` FROM `fitnessTrackers` GROUP BY `devicetype` HAVING COUNT(DISTINCT `strapmaterial`) = (SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`),What are the devicetype with all the strapmaterial in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.04e-05,"SELECT devicetype -FROM fitnessTrackers -GROUP BY devicetype -HAVING COUNT(DISTINCT strapmaterial) = (SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers);","```sql -SELECT devicetype -FROM fitnessTrackers -GROUP BY devicetype -HAVING COUNT(DISTINCT strapmaterial) = (SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers); -``` - -This SQL query will return the `devicetype` from the `fitnessTrackers` table where all the unique `strapmaterial` values are present. The subquery `(SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers)` gets the total number of unique `strapmaterial` values in the table. The main query then groups the `devicetype` by their values and selects those where the count of unique `strapmaterial` values is equal to the total count of unique `strapmaterial` values in the table.",0.6356775761,llama-8,96,1.0085884907775717,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,many-to-many-generator,many-to-many,SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING COUNT(DISTINCT `display`) = (SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`),What are the color with all the display in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.7e-05,"SELECT color -FROM fitnessTrackers -WHERE display = 'all';","```sql -SELECT color -FROM fitnessTrackers -WHERE display = 'all'; -``` - -This SQL query will return all the colors of fitness trackers that have a display of 'all'.",0.3704538345,llama-8,97,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the transactionno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.84e-05,"SELECT transactionno -FROM salesTransactions -WHERE country IS NOT NULL;","```sql -SELECT transactionno -FROM salesTransactions -WHERE country IS NOT NULL; -``` - -This SQL query will return all the transaction numbers where the country is not null, meaning all the countries in the salesTransactions table.",0.3916463852,llama-8,98,0.9546938843640895,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the date with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.06e-05,"SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions);","```sql -SELECT date -FROM salesTransactions -GROUP BY date -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions); -``` - -This SQL query will return all the dates where all countries are present in the `salesTransactions` table. - -Here's how it works: - -- `GROUP BY date` groups the rows by the `date` column. -- `HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions)` filters the groups to only include those where all countries are present. This is done by comparing the count of distinct countries in each group to the total count of distinct countries in the table. If the count is equal, it means all countries are present for that date.",0.6435539722,llama-8,99,1.0041673229469368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productno` FROM `salesTransactions` GROUP BY `productno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productno with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",7.7e-05,"SELECT productno -FROM salesTransactions -GROUP BY productno -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) - FROM salesTransactions);","```sql -SELECT productno -FROM salesTransactions -GROUP BY productno -HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) - FROM salesTransactions); -``` - -This SQL query will return all the product numbers that have all the countries present in the `salesTransactions` table. - -Here's how it works: - -- `GROUP BY productno` groups the rows by product number. -- `COUNT(DISTINCT country)` counts the number of unique countries for each product number. -- `HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions)` filters the results to only include product numbers that have all the countries present in the `salesTransactions` table. - -Note: This query assumes that there are no duplicate rows in the `salesTransactions` table. If there are duplicates, you may need to use a different approach to get the desired result.",0.7496347427,llama-8,100,0.9967063979633182,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,many-to-many-generator,many-to-many,SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`),What are the productname with all the country in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",8.8e-05,"SELECT DISTINCT productname, country -FROM salesTransactions;","```sql -SELECT DISTINCT productname -FROM salesTransactions; -``` - -This SQL query will return all the unique product names from the `salesTransactions` table. - -However, if you want to fetch all the product names along with all the countries in the `salesTransactions` table, you can use the following query: - -```sql -SELECT productname, country -FROM salesTransactions; -``` - -This query will return all the product names and their corresponding countries from the `salesTransactions` table. - -If you want to fetch all the product names along with all the unique countries in the `salesTransactions` table, you can use the following query: - -```sql -SELECT productname, country -FROM salesTransactions -GROUP BY productname; -``` - -This query will return all the product names and their corresponding countries from the `salesTransactions` table, grouped by product name. - -If you want to fetch all the product names along with all the unique countries in the `salesTransactions` table, you can use the following query: - -```sql -SELECT DISTINCT productname, country -FROM salesTransactions; -``` - -This query will return all the unique product names and their corresponding countries from the `salesTransactions` table.",0.8075106144,llama-8,101,0.0,0.952,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` ASC,Show all data ordered by devicetype in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5e-05,"SELECT * -FROM fitnessTrackers -ORDER BY devicetype ASC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY devicetype ASC; -``` - -This SQL query will fetch all data from the `fitnessTrackers` table and order it by the `devicetype` column in ascending order.",0.3330922127,llama-8,102,0.9936819156429861,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` DESC,Show all data ordered by devicetype in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5e-05,"SELECT * -FROM fitnessTrackers -ORDER BY devicetype DESC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY devicetype DESC; -``` - -This SQL query will fetch all data from the `fitnessTrackers` table and order it by the `devicetype` column in descending order.",0.3986387253,llama-8,103,1.0004497979149503,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` ASC,Show all data ordered by strapmaterial in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.96e-05,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial ASC; -``` - -This SQL query will fetch all data from the `fitnessTrackers` table and order it in ascending order based on the `strapmaterial` column.",0.3408958912,llama-8,104,1.016074590593292,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` DESC,Show all data ordered by strapmaterial in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.96e-05,"SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC;","```sql -SELECT * -FROM fitnessTrackers -ORDER BY strapmaterial DESC; -``` - -This SQL query will fetch all data from the `fitnessTrackers` table and order it in descending order based on the `strapmaterial` column.",0.4599499702,llama-8,105,1.003192755112519,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` ASC,Project the sellingprice ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.3e-05,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC;","```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice ASC; -``` - -This SQL query will fetch the `sellingprice` from the `fitnessTrackers` table, ordered in ascending order. The `ASC` keyword is used to specify ascending order, but it's optional as ascending is the default order.",0.4623472691,llama-8,106,1.019833663734775,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` DESC,Project the sellingprice ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.54e-05,"SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC;","```sql -SELECT sellingprice -FROM fitnessTrackers -ORDER BY sellingprice DESC; -``` - -This SQL query will return the `sellingprice` column from the `fitnessTrackers` table, ordered in descending order. The `DESC` keyword is used to specify the order as descending. If you want to order it in ascending order, you can replace `DESC` with `ASC`.",0.4814932346,llama-8,107,1.0071920539779562,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` ASC,Project the color ordered in ascending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.54e-05,"SELECT brandname, devicetype, modelname, color -FROM fitnessTrackers -ORDER BY color ASC;","```sql -SELECT color -FROM fitnessTrackers -ORDER BY color ASC; -``` - -This SQL query will return all the colors from the `fitnessTrackers` table in ascending order. - -However, if you want to project the color along with other columns, you can use the following query: - -```sql -SELECT brandname, devicetype, modelname, color -FROM fitnessTrackers -ORDER BY color ASC; -``` - -This query will return all the columns (`brandname`, `devicetype`, `modelname`, and `color`) from the `fitnessTrackers` table in ascending order of the `color` column.",0.6021745205,llama-8,108,0.0,0.262,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,ORDERBY,ORDERBY-PROJECT,SELECT `color` FROM `fitnessTrackers` ORDER BY `color` DESC,Project the color ordered in descending order for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.82e-05,"SELECT color -FROM fitnessTrackers -ORDER BY color DESC -LIMIT 10;","```sql -SELECT color -FROM fitnessTrackers -ORDER BY color DESC; -``` - -This SQL query will return all the colors from the `fitnessTrackers` table in descending order. If you want to limit the number of results, you can add a `LIMIT` clause, for example: - -```sql -SELECT color -FROM fitnessTrackers -ORDER BY color DESC -LIMIT 10; -``` - -This will return the top 10 colors in descending order.",0.4899065495,llama-8,109,0.0,1.0,0.909,0.0,0.5,0.909,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` ASC,Show all data ordered by transactionno in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.9e-05,"SELECT * -FROM salesTransactions -ORDER BY transactionno ASC;","```sql -SELECT * -FROM salesTransactions -ORDER BY transactionno ASC; -``` - -This SQL query will fetch all data from the `salesTransactions` table and display it in ascending order based on the `transactionno` column.",0.3464336395,llama-8,110,1.0016549176507397,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `transactionno` DESC,Show all data ordered by transactionno in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.62e-05,"SELECT * -FROM salesTransactions -ORDER BY transactionno DESC;","```sql -SELECT * -FROM salesTransactions -ORDER BY transactionno DESC; -``` - -This SQL query will fetch all data from the `salesTransactions` table, ordered by the `transactionno` column in descending order. The `SELECT *` statement selects all columns (`*`) from the table, and the `ORDER BY` clause sorts the results in descending order based on the `transactionno` column.",0.3981220722,llama-8,111,1.0535872781915663,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` ASC,Show all data ordered by price in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.82e-05,"SELECT * -FROM salesTransactions -ORDER BY price ASC;","```sql -SELECT * -FROM salesTransactions -ORDER BY price ASC; -``` - -This SQL query will fetch all data from the `salesTransactions` table and order it by the `price` column in ascending order.",0.3557083607,llama-8,112,0.9917623749416122,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `salesTransactions` ORDER BY `price` DESC,Show all data ordered by price in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.06e-05,"SELECT * -FROM salesTransactions -ORDER BY price DESC;","```sql -SELECT * -FROM salesTransactions -ORDER BY price DESC; -``` - -This SQL query will fetch all data from the `salesTransactions` table and order it by the `price` column in descending order. The `DESC` keyword is used to specify descending order.",0.4102926254,llama-8,113,1.0215370004390143,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` ASC,Project the productno ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.86e-05,"SELECT productno -FROM salesTransactions -ORDER BY productno ASC;","```sql -SELECT productno -FROM salesTransactions -ORDER BY productno ASC; -``` - -This SQL query will return a list of unique product numbers from the `salesTransactions` table, ordered in ascending order. - -If you want to get all product numbers, not just unique ones, you can remove the `SELECT DISTINCT` part, but it's not necessary in this case because the `ORDER BY` clause already implies that we're dealing with a unique set of values.",0.7783222198,llama-8,114,1.0005968126105278,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `productno` FROM `salesTransactions` ORDER BY `productno` DESC,Project the productno ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.8e-05,"SELECT productno -FROM salesTransactions -ORDER BY productno DESC;","```sql -SELECT productno -FROM salesTransactions -ORDER BY productno DESC; -``` - -This SQL query will return the `productno` column from the `salesTransactions` table, ordered in descending order.",0.3015363216,llama-8,115,1.0626370953076076,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` ASC,Project the quantity ordered in ascending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.28e-05,"SELECT transactionno, date, productno, productname, price, quantity, customerno, country -FROM salesTransactions -ORDER BY quantity ASC;","```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity ASC; -``` - -This SQL query will fetch the quantity ordered from the `salesTransactions` table in ascending order. - -However, if you want to project the quantity ordered along with other columns, you can use the following query: - -```sql -SELECT transactionno, date, productno, productname, price, quantity, customerno, country -FROM salesTransactions -ORDER BY quantity ASC; -``` - -This query will fetch all the columns from the `salesTransactions` table in ascending order of the `quantity` column.",0.495177269,llama-8,116,0.0,0.079,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,ORDERBY,ORDERBY-PROJECT,SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` DESC,Project the quantity ordered in descending order for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.9e-05,"SELECT transactionno, date, productname, price, quantity -FROM salesTransactions -ORDER BY quantity DESC;","```sql -SELECT quantity -FROM salesTransactions -ORDER BY quantity DESC; -``` - -This SQL query will fetch the quantity ordered from the `salesTransactions` table in descending order. - -However, if you want to project the quantity ordered along with other columns (e.g., product name, date, etc.) in descending order, you can use the following query: - -```sql -SELECT transactionno, date, productname, price, quantity -FROM salesTransactions -ORDER BY quantity DESC; -```",0.5301938057,llama-8,117,0.0,0.118,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `originalprice` FROM `fitnessTrackers`,Show all originalprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.58e-05,"SELECT originalprice -FROM fitnessTrackers;","```sql -SELECT originalprice -FROM fitnessTrackers; -``` - -This SQL query will fetch all the `originalprice` values from the `fitnessTrackers` table.",0.3398213387,llama-8,118,1.0132437746531586,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `averagebatterylife` FROM `fitnessTrackers`,Show all averagebatterylife in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.82e-05,"SELECT averagebatterylife -FROM fitnessTrackers;","```sql -SELECT averagebatterylife -FROM fitnessTrackers; -``` - -This SQL query will return all the values in the `averagebatterylife` column from the `fitnessTrackers` table.",0.6886341572,llama-8,119,0.9911899525376356,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `devicetype` FROM `fitnessTrackers`,Show all devicetype in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.02e-05,"SELECT devicetype -FROM fitnessTrackers;","```sql -SELECT devicetype -FROM fitnessTrackers; -``` - -This SQL query will fetch all the unique 'devicetype' from the 'fitnessTrackers' table. If you want to fetch all the rows, you can remove the 'SELECT DISTINCT' keyword.",0.5000803471,llama-8,120,1.037116604671484,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `display` FROM `fitnessTrackers`,Show all display in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.48e-05,"SELECT * -FROM fitnessTrackers;","```sql -SELECT * -FROM fitnessTrackers; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table.",0.4223282337,llama-8,121,0.0,0.048,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-SINGLE-COL,SELECT `brandname` FROM `fitnessTrackers`,Show all brandname in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.52e-05,"SELECT brandname -FROM fitnessTrackers;","```sql -SELECT brandname -FROM fitnessTrackers; -``` - -This SQL query will fetch all the brand names from the `fitnessTrackers` table.",0.4886445999,llama-8,122,1.0115008331694493,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-ALL,SELECT * FROM `fitnessTrackers`,Show all the rows in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.44e-05,"SELECT * -FROM fitnessTrackers;","```sql -SELECT * -FROM fitnessTrackers; -``` - -This SQL query will return all rows from the `fitnessTrackers` table.",0.3568763733,llama-8,123,0.9932884477205596,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,SELECT `sellingprice` FROM `fitnessTrackers`,Show all sellingprice in the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.52e-05,"SELECT sellingprice -FROM fitnessTrackers;","```sql -SELECT sellingprice -FROM fitnessTrackers; -``` - -This SQL query will fetch all the selling prices from the `fitnessTrackers` table.",0.3144359589,llama-8,124,1.0091377190111666,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `averagebatterylife` FROM `fitnessTrackers`","Show all strapmaterial, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6e-05,"SELECT - strapmaterial, - AVG(averagebatterylife) AS averagebatterylife -FROM - fitnessTrackers -GROUP BY - strapmaterial;","```sql -SELECT - strapmaterial, - AVG(averagebatterylife) AS averagebatterylife -FROM - fitnessTrackers -GROUP BY - strapmaterial; -``` - -This SQL query will return all unique strap materials from the `fitnessTrackers` table along with their average battery life. The `AVG` function is used to calculate the average battery life for each strap material. The `GROUP BY` clause is used to group the results by strap material.",0.5594081879,llama-8,125,0.0,0.8,0.667,0.0,0.25,0.091,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `sellingprice`, `modelname`, `color` FROM `fitnessTrackers`","Show all sellingprice, modelname, color in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.14e-05,"SELECT - sellingprice, - modelname, - color -FROM - fitnessTrackers;","```sql -SELECT - sellingprice, - modelname, - color -FROM - fitnessTrackers; -``` - -This SQL query will fetch all the rows from the `fitnessTrackers` table and return the `sellingprice`, `modelname`, and `color` columns.",0.5618650913,llama-8,126,1.0001613029178489,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `modelname`, `brandname`, `color`, `averagebatterylife` FROM `fitnessTrackers`","Show all modelname, brandname, color, averagebatterylife in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.52e-05,"SELECT - modelname, - brandname, - color, - averagebatterylife -FROM - fitnessTrackers;","```sql -SELECT - modelname, - brandname, - color, - averagebatterylife -FROM - fitnessTrackers; -``` - -This SQL query will fetch all the required columns (`modelname`, `brandname`, `color`, `averagebatterylife`) from the `fitnessTrackers` table.",0.3912241459,llama-8,127,1.0295988292202058,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `devicetype`, `modelname`, `brandname`, `averagebatterylife`, `display` FROM `fitnessTrackers`","Show all devicetype, modelname, brandname, averagebatterylife, display in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.76e-05,"SELECT - devicetype, - modelname, - brandname, - averagebatterylife, - display -FROM - fitnessTrackers;","```sql -SELECT - devicetype, - modelname, - brandname, - averagebatterylife, - display -FROM - fitnessTrackers; -``` - -This SQL query will fetch all the required columns (`devicetype`, `modelname`, `brandname`, `averagebatterylife`, and `display`) from the `fitnessTrackers` table.",0.6308305264,llama-8,128,0.9886852209998592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, `strapmaterial` FROM `fitnessTrackers`","Show all rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.38e-05,"SELECT - rating, - averagebatterylife, - originalprice, - sellingprice, - brandname, - strapmaterial -FROM - fitnessTrackers;","```sql -SELECT - rating, - averagebatterylife, - originalprice, - sellingprice, - brandname, - strapmaterial -FROM - fitnessTrackers; -``` - -This SQL query will fetch all the specified columns from the `fitnessTrackers` table.",0.3933396339,llama-8,129,1.0928095730482152,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `strapmaterial`, `rating`, `averagebatterylife`, `brandname`, `display`, `sellingprice`, `devicetype` FROM `fitnessTrackers`","Show all strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.58e-05,"SELECT - strapmaterial, - rating, - averagebatterylife, - brandname, - display, - sellingprice, - devicetype -FROM - fitnessTrackers;","```sql -SELECT - strapmaterial, - rating, - averagebatterylife, - brandname, - display, - sellingprice, - devicetype -FROM - fitnessTrackers; -``` - -This SQL code will fetch all the specified columns from the `fitnessTrackers` table in the database.",0.4048631191,llama-8,130,0.9937260145437089,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, `modelname` FROM `fitnessTrackers`","Show all averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.34e-05,"SELECT - averagebatterylife, - devicetype, - strapmaterial, - brandname, - rating, - color, - sellingprice, - modelname -FROM - fitnessTrackers;","```sql -SELECT - averagebatterylife, - devicetype, - strapmaterial, - brandname, - rating, - color, - sellingprice, - modelname -FROM - fitnessTrackers; -``` - -This SQL query will fetch all the specified columns from the `fitnessTrackers` table. The `SELECT` statement is used to specify the columns to be retrieved, and the `FROM` clause is used to specify the table from which to retrieve the data.",0.468634367,llama-8,131,1.022284138895795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,PROJECT,SELECT-RANDOM-COL,"SELECT `color`, `modelname`, `averagebatterylife`, `strapmaterial`, `display`, `brandname`, `sellingprice`, `devicetype`, `originalprice` FROM `fitnessTrackers`","Show all color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice in the table fitnessTrackers","`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.8e-05,"SELECT - color, - modelname, - averagebatterylife, - strapmaterial, - display, - brandname, - sellingprice, - devicetype, - originalprice -FROM - fitnessTrackers;","```sql -SELECT - color, - modelname, - averagebatterylife, - strapmaterial, - display, - brandname, - sellingprice, - devicetype, - originalprice -FROM - fitnessTrackers; -``` - -This SQL query will fetch all the specified columns from the `fitnessTrackers` table.",0.3447782993,llama-8,132,1.0098998971980624,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productno` FROM `salesTransactions`,Show all productno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.46e-05,"SELECT productno -FROM salesTransactions;","```sql -SELECT productno -FROM salesTransactions; -``` - -This SQL query will fetch all the product numbers from the `salesTransactions` table.",0.3508718014,llama-8,133,1.026836735597659,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `country` FROM `salesTransactions`,Show all country in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.46e-05,"SELECT * -FROM salesTransactions;","```sql -SELECT country -FROM salesTransactions; -``` - -This SQL query will fetch all the unique countries from the `salesTransactions` table. If you want to fetch all the countries along with other information, you can use the following query: - -```sql -SELECT * -FROM salesTransactions; -``` - -This query will fetch all the rows from the `salesTransactions` table, including the country column.",0.4926316738,llama-8,134,0.0,0.008,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `transactionno` FROM `salesTransactions`,Show all transactionno in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.46e-05,"SELECT transactionno -FROM salesTransactions;","```sql -SELECT transactionno -FROM salesTransactions; -``` - -This SQL query will fetch all the transaction numbers from the `salesTransactions` table.",0.3417730331,llama-8,135,1.003756660105463,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `price` FROM `salesTransactions`,Show all price in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.02e-05,"SELECT transactionno, date, productno, productname, price, quantity, customerno, country -FROM salesTransactions;","```sql -SELECT price -FROM salesTransactions; -``` - -This SQL query will fetch all the prices from the `salesTransactions` table. - -If you want to fetch all columns from the table, you can use the following query: - -```sql -SELECT * -FROM salesTransactions; -``` - -However, if you want to fetch all prices along with other columns, you can use the following query: - -```sql -SELECT transactionno, date, productno, productname, price, quantity, customerno, country -FROM salesTransactions; -```",0.6517703533,llama-8,136,0.0,0.127,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-SINGLE-COL,SELECT `productname` FROM `salesTransactions`,Show all productname in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.46e-05,"SELECT productname -FROM salesTransactions;","```sql -SELECT productname -FROM salesTransactions; -``` - -This SQL query will fetch all the product names from the `salesTransactions` table.",0.5008769035,llama-8,137,0.9997819187002357,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-ALL,SELECT * FROM `salesTransactions`,Show all the rows in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.74e-05,"SELECT * -FROM salesTransactions;","```sql -SELECT * -FROM salesTransactions; -``` - -This SQL code will fetch all the rows from the `salesTransactions` table. The `SELECT *` statement selects all columns (`*`) from the specified table.",0.3578560352,llama-8,138,0.9925490961294302,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,SELECT `quantity` FROM `salesTransactions`,Show all quantity in the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.46e-05,"SELECT quantity -FROM salesTransactions;","```sql -SELECT quantity -FROM salesTransactions; -``` - -This SQL query will fetch all the 'quantity' values from the 'salesTransactions' table.",0.3588471413,llama-8,139,1.0197362392727545,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `productno` FROM `salesTransactions`","Show all price, productno in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.66e-05,"SELECT price, productno -FROM salesTransactions;","```sql -SELECT price, productno -FROM salesTransactions; -``` - -This SQL query will fetch all the 'price' and 'productno' from the 'salesTransactions' table.",0.3540091515,llama-8,140,1.0371425923799757,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `customerno`, `date` FROM `salesTransactions`","Show all price, customerno, date in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.2e-05,"SELECT price, customerno, date -FROM salesTransactions;","```sql -SELECT price, customerno, date -FROM salesTransactions; -``` - -This SQL query will fetch all the price, customerno, and date from the salesTransactions table. - -Note: The `customerno` field in the salesTransactions table is defined as REAL, which is typically used for floating-point numbers. However, in the context of a customer number, it's more likely that it should be an INTEGER or a TEXT field. If it's supposed to be a customer ID, it's recommended to change its data type to INTEGER or TEXT.",0.6168143749,llama-8,141,1.0260851939183315,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `customerno`, `quantity`, `productname` FROM `salesTransactions`","Show all productno, customerno, quantity, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.22e-05,"SELECT - productno, - customerno, - quantity, - productname -FROM - salesTransactions;","```sql -SELECT - productno, - customerno, - quantity, - productname -FROM - salesTransactions; -``` - -This SQL query will fetch all the required columns (`productno`, `customerno`, `quantity`, `productname`) from the `salesTransactions` table.",0.3858861923,llama-8,142,1.010057624090264,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `date`, `quantity`, `productno`, `price`, `country` FROM `salesTransactions`","Show all date, quantity, productno, price, country in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.12e-05,"SELECT date, quantity, productno, price, country -FROM salesTransactions;","```sql -SELECT date, quantity, productno, price, country -FROM salesTransactions; -``` - -This SQL query will fetch all the required columns (`date`, `quantity`, `productno`, `price`, and `country`) from the `salesTransactions` table.",0.413946867,llama-8,143,1.0552890950105354,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `productno`, `price`, `country`, `customerno`, `transactionno`, `productname` FROM `salesTransactions`","Show all productno, price, country, customerno, transactionno, productname in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.16e-05,"SELECT - productno, - price, - country, - customerno, - transactionno, - productname -FROM - salesTransactions;","```sql -SELECT - productno, - price, - country, - customerno, - transactionno, - productname -FROM - salesTransactions; -``` - -This SQL query will fetch all the specified columns from the `salesTransactions` table.",0.3838458061,llama-8,144,0.9848860875435406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,PROJECT,SELECT-RANDOM-COL,"SELECT `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity` FROM `salesTransactions`","Show all price, date, transactionno, productno, customerno, country, quantity in the table salesTransactions","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.7e-05,"SELECT - price, - date, - transactionno, - productno, - customerno, - country, - quantity -FROM - salesTransactions;","```sql -SELECT - price, - date, - transactionno, - productno, - customerno, - country, - quantity -FROM - salesTransactions; -``` - -This SQL query will fetch all the required columns (`price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity`) from the `salesTransactions` table.",0.5879797935,llama-8,145,1.0024960587337204,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` == 'White ',Show the data of the table fitnessTrackers where color is equal to White ,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.94e-05,"SELECT * -FROM fitnessTrackers -WHERE color = 'White';","```sql -SELECT * -FROM fitnessTrackers -WHERE color = 'White'; -``` - -This SQL query will fetch all columns (`*`) from the `fitnessTrackers` table where the `color` is equal to `'White'`.",0.3706438541,llama-8,146,0.0,0.1,0.1,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color is different from Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.96e-05,"SELECT * -FROM fitnessTrackers -WHERE color != 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color != 'Black'; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `color` is not equal to `'Black'`.",0.3470876217,llama-8,147,1.0236269792867405,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black',Show the data of the table fitnessTrackers where color not equal to Black,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.94e-05,"SELECT * -FROM fitnessTrackers -WHERE color != 'Black';","```sql -SELECT * -FROM fitnessTrackers -WHERE color != 'Black'; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `color` is not equal to 'Black'.",0.4437243938,llama-8,148,1.014393061182285,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` == 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is equal to Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.32e-05,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial = 'Thermoplastic polyurethane'; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `strapmaterial` is equal to 'Thermoplastic polyurethane'.",0.332719326,llama-8,149,1.0788005127881186,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Thermoplastic polyurethane',Show the data of the table fitnessTrackers where strapmaterial is different from Thermoplastic polyurethane,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.3e-05,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Thermoplastic polyurethane';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Thermoplastic polyurethane'; -``` - -This SQL query will fetch all the data from the `fitnessTrackers` table where the `strapmaterial` is not equal to 'Thermoplastic polyurethane'.",0.3936138153,llama-8,150,1.0004396253567003,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Aluminium',Show the data of the table fitnessTrackers where strapmaterial not equal to Aluminium,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.06e-05,"SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium';","```sql -SELECT * -FROM fitnessTrackers -WHERE strapmaterial != 'Aluminium'; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `strapmaterial` is not equal to `'Aluminium'`.",0.4936039448,llama-8,151,1.0237282297703552,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` == 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is equal to TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.18e-05,"SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display = 'TFT-LCD Display'; -``` - -This SQL query will fetch all columns (`*`) from the `fitnessTrackers` table where the `display` column is equal to `'TFT-LCD Display'`.",0.4532186985,llama-8,152,0.9859424763062637,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'TFT-LCD Display',Show the data of the table fitnessTrackers where display is different from TFT-LCD Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.2e-05,"SELECT * -FROM fitnessTrackers -WHERE display != 'TFT-LCD Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display != 'TFT-LCD Display'; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `display` column is not equal to `'TFT-LCD Display'`.",0.3738980293,llama-8,153,1.0336071901174553,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-CAT,SELECT * FROM `fitnessTrackers` WHERE `display` != 'AMOLED Display',Show the data of the table fitnessTrackers where display not equal to AMOLED Display,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.08e-05,"SELECT * -FROM fitnessTrackers -WHERE display != 'AMOLED Display';","```sql -SELECT * -FROM fitnessTrackers -WHERE display != 'AMOLED Display'; -``` - -This SQL query will fetch all the data from the `fitnessTrackers` table where the `display` column does not equal 'AMOLED Display'.",0.6688585281,llama-8,154,0.9987210954230812,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `averagebatterylife` > 14,Show the data of the table fitnessTrackers where averagebatterylife is greater than 14,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.18e-05,"SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14;","```sql -SELECT * -FROM fitnessTrackers -WHERE averagebatterylife > 14; -``` - -This SQL code will fetch all columns (`*`) from the `fitnessTrackers` table where the `averagebatterylife` is greater than 14.",0.4313099384,llama-8,155,1.2059457196420915,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` > 45690.0,Show the data of the table fitnessTrackers where sellingprice is greater than 45690.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.18e-05,"SELECT * -FROM fitnessTrackers -WHERE sellingprice > 45690.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE sellingprice > 45690.0; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `sellingprice` is greater than 45690.0.",0.3545255661,llama-8,156,0.9924723589059838,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `sellingprice` < 46990.0,Show the data of the table fitnessTrackers where sellingprice is less than 46990.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.18e-05,"SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE sellingprice < 46990.0; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `sellingprice` is less than 46990.0.",0.3751466274,llama-8,157,1.0275081434721072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` > 4.6,Show the data of the table fitnessTrackers where rating is greater than 4.6,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.06e-05,"SELECT * -FROM fitnessTrackers -WHERE rating > 4.6;","```sql -SELECT * -FROM fitnessTrackers -WHERE rating > 4.6; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `rating` is greater than 4.6.",0.3456032276,llama-8,158,1.0049915895711086,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SELECT,WHERE-NUM,SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0,Show the data of the table fitnessTrackers where rating is less than 4.0,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.06e-05,"SELECT * -FROM fitnessTrackers -WHERE rating < 4.0;","```sql -SELECT * -FROM fitnessTrackers -WHERE rating < 4.0; -``` - -This SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `rating` is less than 4.0.",0.3181941509,llama-8,159,1.0443498500075254,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` == '12/1/2018',Show the data of the table salesTransactions where date is equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.2e-05,"SELECT * -FROM salesTransactions -WHERE date = '12/1/2018';","```sql -SELECT * -FROM salesTransactions -WHERE date = '12/1/2018'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `date` column is equal to '12/1/2018'.",0.4310760498,llama-8,160,0.9955897637727591,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '9/15/2019',Show the data of the table salesTransactions where date is different from 9/15/2019,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.22e-05,"SELECT * -FROM salesTransactions -WHERE date != '9/15/2019';","```sql -SELECT * -FROM salesTransactions -WHERE date != '9/15/2019'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `date` column is not equal to '9/15/2019'.",0.3783946037,llama-8,161,1.0000257198101818,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `date` != '12/1/2018',Show the data of the table salesTransactions where date not equal to 12/1/2018,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.2e-05,"SELECT * -FROM salesTransactions -WHERE date != '12/1/2018';","```sql -SELECT * -FROM salesTransactions -WHERE date != '12/1/2018'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `date` column does not equal '12/1/2018'.",0.457916975,llama-8,162,1.0401567030330463,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` == '566959',Show the data of the table salesTransactions where transactionno is equal to 566959,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5e-05,"SELECT * -FROM salesTransactions -WHERE transactionno = 566959;","```sql -SELECT * -FROM salesTransactions -WHERE transactionno = 566959; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `transactionno` is equal to 566959.",0.3936533928,llama-8,163,0.9955327058035083,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '579557',Show the data of the table salesTransactions where transactionno is different from 579557,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.04e-05,"SELECT * -FROM salesTransactions -WHERE transactionno != '579557';","```sql -SELECT * -FROM salesTransactions -WHERE transactionno != '579557'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `transactionno` is not equal to `'579557'`.",0.447722435,llama-8,164,1.0263470616270656,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `transactionno` != '549047',Show the data of the table salesTransactions where transactionno not equal to 549047,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.04e-05,"SELECT * -FROM salesTransactions -WHERE transactionno != '549047';","```sql -SELECT * -FROM salesTransactions -WHERE transactionno != '549047'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `transactionno` is not equal to `'549047'`.",0.442617178,llama-8,165,0.9967872959659817,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` == 'Metal-4-Hook-Hanger-French-Chateau',Show the data of the table salesTransactions where productname is equal to Metal-4-Hook-Hanger-French-Chateau,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.52e-05,"SELECT * -FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';","```sql -SELECT * -FROM salesTransactions -WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `productname` is equal to 'Metal-4-Hook-Hanger-French-Chateau'.",0.4955992699,llama-8,166,1.00908744100944,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Skulls-Water-Transfer-Tattoos',Show the data of the table salesTransactions where productname is different from Skulls-Water-Transfer-Tattoos,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.44e-05,"SELECT * -FROM salesTransactions -WHERE productname != 'Skulls-Water-Transfer-Tattoos';","```sql -SELECT * -FROM salesTransactions -WHERE productname != 'Skulls-Water-Transfer-Tattoos'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `productname` is not equal to `'Skulls-Water-Transfer-Tattoos'`.",0.4525508881,llama-8,167,1.014557081226785,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-CAT,SELECT * FROM `salesTransactions` WHERE `productname` != 'Pink-Party-Bags',Show the data of the table salesTransactions where productname not equal to Pink-Party-Bags,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.2e-05,"SELECT * -FROM salesTransactions -WHERE productname != 'Pink-Party-Bags';","```sql -SELECT * -FROM salesTransactions -WHERE productname != 'Pink-Party-Bags'; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `productname` is not equal to `'Pink-Party-Bags'`.",0.3678047657,llama-8,168,1.0405056833937596,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` > 13.27,Show the data of the table salesTransactions where price is greater than 13.27,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5e-05,"SELECT * -FROM salesTransactions -WHERE price > 13.27;","```sql -SELECT * -FROM salesTransactions -WHERE price > 13.27; -``` - -This SQL query will fetch all columns (`*`) from the `salesTransactions` table where the `price` is greater than 13.27.",0.421889782,llama-8,169,1.0020599314405192,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `price` < 6.19,Show the data of the table salesTransactions where price is less than 6.19,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5e-05,"SELECT * -FROM salesTransactions -WHERE price < 6.19;","```sql -SELECT * -FROM salesTransactions -WHERE price < 6.19; -``` - -This SQL query will fetch all columns (`*`) from the `salesTransactions` table where the `price` is less than 6.19.",0.297658205,llama-8,170,1.0256052858502729,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` > 2,Show the data of the table salesTransactions where quantity is greater than 2,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.88e-05,"SELECT * -FROM salesTransactions -WHERE quantity > 2;","```sql -SELECT * -FROM salesTransactions -WHERE quantity > 2; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `quantity` is greater than 2.",0.3952620029,llama-8,171,1.017110960427786,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `quantity` < 1,Show the data of the table salesTransactions where quantity is less than 1,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.88e-05,"SELECT * -FROM salesTransactions -WHERE quantity < 1;","```sql -SELECT * -FROM salesTransactions -WHERE quantity < 1; -``` - -This SQL query will return all columns (`*`) from the `salesTransactions` table where the `quantity` is less than 1.",0.6649215221,llama-8,172,1.002616686821811,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` > 14001.0,Show the data of the table salesTransactions where customerno is greater than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.12e-05,"SELECT * -FROM salesTransactions -WHERE customerno > 14001.0;","```sql -SELECT * -FROM salesTransactions -WHERE customerno > 14001.0; -``` - -This SQL query will fetch all columns (`*`) from the `salesTransactions` table where the `customerno` is greater than 14001.0.",0.4141783714,llama-8,173,1.0346503104957245,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SELECT,WHERE-NUM,SELECT * FROM `salesTransactions` WHERE `customerno` < 14001.0,Show the data of the table salesTransactions where customerno is less than 14001.0,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.12e-05,"SELECT * -FROM salesTransactions -WHERE customerno < 14001.0;","```sql -SELECT * -FROM salesTransactions -WHERE customerno < 14001.0; -``` - -This SQL code will fetch all columns (`*`) from the `salesTransactions` table where the `customerno` is less than 14001.0.",0.3332080841,llama-8,174,1.0051941596099065,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`,How many different strapmaterial are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.2e-05,"SELECT COUNT(DISTINCT strapmaterial) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT strapmaterial) -FROM fitnessTrackers; -``` - -This SQL query will return the number of different strap materials found in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `strapmaterial` column.",0.3871526718,llama-8,175,1.0389794222993682,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `brandname`) FROM `fitnessTrackers`,How many different brandname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.18e-05,"SELECT COUNT(DISTINCT brandname) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT brandname) -FROM fitnessTrackers; -``` - -This SQL query will return the number of different brand names in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `brandname` column.",0.4254119396,llama-8,176,0.9752764224945621,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `modelname`) FROM `fitnessTrackers`,How many different modelname are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.18e-05,"SELECT COUNT(DISTINCT modelname) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT modelname) -FROM fitnessTrackers; -``` - -This SQL query will return the number of different model names in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `modelname` column.",0.3985791206,llama-8,177,0.9986391125772397,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `color`) FROM `fitnessTrackers`,How many different color are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.06e-05,"SELECT COUNT(DISTINCT color) -FROM fitnessTrackers;","```sql -SELECT COUNT(DISTINCT color) -FROM fitnessTrackers; -``` - -This SQL query will return the number of different colors in the `fitnessTrackers` table. The `COUNT(DISTINCT color)` function counts the number of unique values in the `color` column.",0.5088579655,llama-8,178,1.010219761014776,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`,How many different display are in table fitnessTrackers?,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.1e-05,"SELECT COUNT(DISTINCT ""display"") -FROM ""fitnessTrackers"";","```sql -SELECT COUNT(DISTINCT ""display"") -FROM ""fitnessTrackers""; -``` - -This SQL query will return the number of different displays in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.6549613476,llama-8,179,1.0068684573213478,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`rating`) FROM `fitnessTrackers`,Find the maximum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.54e-05,"SELECT MAX(rating) -FROM fitnessTrackers;","```sql -SELECT MAX(rating) -FROM fitnessTrackers; -``` - -This SQL query will return the maximum rating from the `fitnessTrackers` table.",0.3392112255,llama-8,180,0.9929997453968332,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`rating`) FROM `fitnessTrackers`,Find the minimum rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.54e-05,"SELECT MIN(""rating"") -FROM ""fitnessTrackers"";","```sql -SELECT MIN(""rating"") -FROM ""fitnessTrackers""; -``` - -This SQL query will return the minimum rating for the table `fitnessTrackers`.",0.335909605,llama-8,181,1.041569747747865,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`rating`) FROM `fitnessTrackers`,Find the average rating for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.62e-05,"SELECT AVG(rating) -FROM fitnessTrackers;","```sql -SELECT AVG(rating) -FROM fitnessTrackers; -``` - -This SQL query will return the average rating for all fitness trackers in the `fitnessTrackers` table.",0.4322736263,llama-8,182,1.0443859344558484,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`originalprice`) FROM `fitnessTrackers`,Find the maximum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.58e-05,"SELECT MAX(originalprice) -FROM fitnessTrackers;","```sql -SELECT MAX(originalprice) -FROM fitnessTrackers; -``` - -This SQL query will return the maximum original price from the `fitnessTrackers` table.",0.3636722565,llama-8,183,1.0047202430333697,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`originalprice`) FROM `fitnessTrackers`,Find the minimum originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.64e-05,"SELECT MIN(originalprice) -FROM fitnessTrackers;","```sql -SELECT MIN(originalprice) -FROM fitnessTrackers; -``` - -This SQL query will return the minimum original price for the products in the `fitnessTrackers` table.",0.343136549,llama-8,184,1.0423920650698075,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,fitnessTrackers,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`originalprice`) FROM `fitnessTrackers`,Find the average originalprice for the table fitnessTrackers,"`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.66e-05,"SELECT AVG(originalprice) -FROM fitnessTrackers;","```sql -SELECT AVG(originalprice) -FROM fitnessTrackers; -``` - -This SQL query will return the average original price of all fitness trackers in the `fitnessTrackers` table.",0.376108408,llama-8,185,0.9971536573678526,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `transactionno`) FROM `salesTransactions`,How many different transactionno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.06e-05,"SELECT COUNT(DISTINCT transactionno) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT transactionno) -FROM salesTransactions; -``` - -This SQL query will return the number of unique transaction numbers in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.4121899605,llama-8,186,1.0032851275420243,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `date`) FROM `salesTransactions`,How many different date are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.14e-05,"SELECT COUNT(DISTINCT date) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT date) -FROM salesTransactions; -``` - -This SQL query will return the number of different dates in the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate dates, and the `COUNT` function is used to count the number of unique dates.",0.936085701,llama-8,187,0.9791634957050463,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productno`) FROM `salesTransactions`,How many different productno are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.12e-05,"SELECT COUNT(DISTINCT productno) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT productno) -FROM salesTransactions; -``` - -This SQL query will return the number of different product numbers in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `productno` column.",0.4737308025,llama-8,188,1.0125458893951504,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `productname`) FROM `salesTransactions`,How many different productname are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.12e-05,"SELECT COUNT(DISTINCT productname) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT productname) -FROM salesTransactions; -``` - -This SQL query will return the number of different product names in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `productname` column.",0.3200917244,llama-8,189,1.0093911943966731,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`,How many different country are in table salesTransactions?,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.06e-05,"SELECT COUNT(DISTINCT country) -FROM salesTransactions;","```sql -SELECT COUNT(DISTINCT country) -FROM salesTransactions; -``` - -This SQL query will return the number of different countries found in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `country` column.",0.3882069588,llama-8,190,1.0434027814158564,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`price`) FROM `salesTransactions`,Find the maximum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",6.98e-05,"SELECT productname, MAX(price) as max_price -FROM salesTransactions -GROUP BY productname;","```sql -SELECT MAX(price) -FROM salesTransactions; -``` - -This SQL query will return the maximum price from the `salesTransactions` table. - -If you want to get the maximum price along with other information (like the product name, date, etc.), you can use the following query: - -```sql -SELECT productname, date, MAX(price) as max_price -FROM salesTransactions -GROUP BY productname, date; -``` - -This query will return the product name, date, and the maximum price for each combination of product name and date. - -If you want to get the maximum price for each product, you can use the following query: - -```sql -SELECT productname, MAX(price) as max_price -FROM salesTransactions -GROUP BY productname; -```",0.5400893688,llama-8,191,0.0,0.028,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`price`) FROM `salesTransactions`,Find the minimum price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.46e-05,"SELECT MIN(price) -FROM salesTransactions;","```sql -SELECT MIN(price) -FROM salesTransactions; -``` - -This SQL query will return the minimum price from the `salesTransactions` table.",0.2987315655,llama-8,192,1.0152224949512278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`price`) FROM `salesTransactions`,Find the average price for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",5.86e-05,"SELECT AVG(price) -FROM salesTransactions -WHERE productname = 'Product A';","```sql -SELECT AVG(price) -FROM salesTransactions; -``` - -This SQL query will return the average price for all transactions in the `salesTransactions` table. - -If you want to filter the results by a specific product or customer, you can add a `WHERE` clause to the query. For example: - -```sql -SELECT AVG(price) -FROM salesTransactions -WHERE productname = 'Product A'; -``` - -This query will return the average price for all transactions of 'Product A'.",0.585960865,llama-8,193,0.0,0.0,0.0,0.0,1.0,0.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`customerno`) FROM `salesTransactions`,Find the maximum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.52e-05,"SELECT MAX(customerno) -FROM salesTransactions;","```sql -SELECT MAX(customerno) -FROM salesTransactions; -``` - -This SQL query will return the maximum customer number from the `salesTransactions` table.",0.376052618,llama-8,194,0.9987375177715406,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`customerno`) FROM `salesTransactions`,Find the minimum customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.56e-05,"SELECT MIN(customerno) -FROM salesTransactions;","```sql -SELECT MIN(customerno) -FROM salesTransactions; -``` - -This SQL query will return the minimum `customerno` from the `salesTransactions` table.",0.2995040417,llama-8,195,1.0221561077316124,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/ecommerce/ecommerce.sqlite,Economic,salesTransactions,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`customerno`) FROM `salesTransactions`,Find the average customerno for the table salesTransactions,"`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT)","`""salesTransactions""` (""transactionno"" TEXT, ""date"" TEXT, ""productno"" TEXT, ""productname"" TEXT, ""price"" REAL, ""quantity"" INTEGER, ""customerno"" REAL, ""country"" TEXT) -`""fitnessTrackers""` (""brandname"" TEXT, ""devicetype"" TEXT, ""modelname"" TEXT, ""color"" TEXT, ""sellingprice"" REAL, ""originalprice"" REAL, ""display"" TEXT, ""rating"" REAL, ""strapmaterial"" TEXT, ""averagebatterylife"" INTEGER)",4.64e-05,"SELECT AVG(customerno) -FROM salesTransactions;","```sql -SELECT AVG(customerno) -FROM salesTransactions; -``` - -This SQL query will return the average value of the `customerno` column in the `salesTransactions` table.",0.470105648,llama-8,196,1.0405462837379547,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paymenttype` FROM `accountFraud`,Show the different paymenttype in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.52e-05,"SELECT DISTINCT paymenttype -FROM accountFraud;","```sql -SELECT DISTINCT paymenttype -FROM accountFraud; -``` - -This SQL code will fetch all the unique payment types from the `accountFraud` table. The `DISTINCT` keyword is used to return only unique values.",0.4410517216,llama-8,197,1.0166903673443417,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `housingstatus` FROM `accountFraud`,Show the different housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.52e-05,"SELECT DISTINCT housingstatus -FROM accountFraud;","```sql -SELECT DISTINCT housingstatus -FROM accountFraud; -``` - -This SQL query will return a list of unique housing statuses from the `accountFraud` table. The `DISTINCT` keyword is used to remove duplicate values.",0.4202709198,llama-8,198,0.9958375761589872,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `deviceos` FROM `accountFraud`,Show the different deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,"SELECT DISTINCT deviceos -FROM accountFraud;","```sql -SELECT DISTINCT deviceos -FROM accountFraud; -``` - -This SQL code will fetch the different deviceos from the table accountFraud. The DISTINCT keyword is used to return only unique values.",0.3868451118,llama-8,199,1.0046705633652617,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `emailisfree` FROM `accountFraud`,Show the different emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT DISTINCT emailisfree -FROM accountFraud;","```sql -SELECT DISTINCT emailisfree -FROM accountFraud; -``` - -This SQL query will return all the unique values in the `emailisfree` column from the `accountFraud` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3976714611,llama-8,200,1.0303835692251762,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hasothercards` FROM `accountFraud`,Show the different hasothercards in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.42e-05,"SELECT DISTINCT hasothercards -FROM accountFraud;","```sql -SELECT DISTINCT hasothercards -FROM accountFraud; -``` - -This SQL query will return all the unique values in the `hasothercards` column of the `accountFraud` table.",0.3475677967,llama-8,201,1.0137896495827123,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `customerid` FROM `latePayment`,Show the different customerid in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.46e-05,"SELECT DISTINCT customerid -FROM latePayment;","```sql -SELECT DISTINCT customerid -FROM latePayment; -``` - -This SQL query will return a list of unique customer IDs from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3406751156,llama-8,202,0.9548292501707432,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `invoicedate` FROM `latePayment`,Show the different invoicedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.5e-05,"SELECT DISTINCT invoicedate -FROM latePayment;","```sql -SELECT DISTINCT invoicedate -FROM latePayment; -``` - -This SQL code will fetch all the unique invoicedate from the table `latePayment`. The `DISTINCT` keyword is used to return only unique values.",0.4748971462,llama-8,203,1.0762193433424478,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `duedate` FROM `latePayment`,Show the different duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.5e-05,"SELECT DISTINCT duedate -FROM latePayment;","```sql -SELECT DISTINCT duedate -FROM latePayment; -``` - -This SQL query will return a list of unique due dates from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3705618382,llama-8,204,1.0231100560640254,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `paperlessbill` FROM `latePayment`,Show the different paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.64e-05,"SELECT DISTINCT paperlessbill -FROM latePayment;","```sql -SELECT DISTINCT paperlessbill -FROM latePayment; -``` - -This SQL code will fetch all the different values of the `paperlessbill` column from the `latePayment` table. The `DISTINCT` keyword is used to return only unique values.",0.4271018505,llama-8,205,0.9973469995286081,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `disputed` FROM `latePayment`,Show the different disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.52e-05,"SELECT DISTINCT disputed -FROM latePayment;","```sql -SELECT DISTINCT disputed -FROM latePayment; -``` - -This SQL query will fetch all the unique values in the `disputed` column from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3311550617,llama-8,206,1.02969715365582,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `employmentstatus`, COUNT(*) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.48e-05,"SELECT - employmentstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return a list of employment statuses along with the count of rows for each status in the `accountFraud` table. The `GROUP BY` clause groups the rows by the `employmentstatus` column, and the `COUNT(*)` function counts the number of rows in each group.",0.5129201412,llama-8,207,0.9944845583630764,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `deviceos`, COUNT(*) FROM `accountFraud` GROUP BY `deviceos`","For each deviceos, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.34e-05,"SELECT - deviceos, - COUNT(*) as count -FROM - accountFraud -GROUP BY - deviceos;","```sql -SELECT - deviceos, - COUNT(*) as count -FROM - accountFraud -GROUP BY - deviceos; -``` - -This SQL query will return a list of deviceos with the count of rows in the accountFraud table for each deviceos. The GROUP BY clause groups the rows by the deviceos column, and the COUNT(*) function counts the number of rows in each group.",0.4372167587,llama-8,208,1.0097883776067045,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `emailisfree`, COUNT(*) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.76e-05,"SELECT - emailisfree, - COUNT(*) as count -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - COUNT(*) as count -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will return a result set with two columns: `emailisfree` and `count`. The `emailisfree` column will contain the unique values from the `emailisfree` column in the `accountFraud` table, and the `count` column will contain the number of rows for each unique `emailisfree` value.",0.6370971203,llama-8,209,1.0512488523660657,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `hasothercards`, COUNT(*) FROM `accountFraud` GROUP BY `hasothercards`","For each hasothercards, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.58e-05,"SELECT - hasothercards, - COUNT(*) as count -FROM - accountFraud -GROUP BY - hasothercards;","```sql -SELECT - hasothercards, - COUNT(*) as count -FROM - accountFraud -GROUP BY - hasothercards; -``` - -This SQL query will return a list of unique values in the `hasothercards` column along with the count of rows for each value. The `GROUP BY` clause groups the rows by the `hasothercards` column, and the `COUNT(*)` function counts the number of rows in each group.",0.4177508354,llama-8,210,1.0066959861514602,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-COUNT,"SELECT `housingstatus`, COUNT(*) FROM `accountFraud` GROUP BY `housingstatus`","For each housingstatus, count the number of rows in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.44e-05,"SELECT - housingstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - housingstatus;","```sql -SELECT - housingstatus, - COUNT(*) as count -FROM - accountFraud -GROUP BY - housingstatus; -``` - -This SQL query will return a table with two columns: `housingstatus` and `count`. The `housingstatus` column will contain the different housing statuses found in the `accountFraud` table, and the `count` column will contain the number of rows for each housing status.",0.4269537926,llama-8,211,1.0100713372123862,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.12e-05,"SELECT - emailisfree, - MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will return the minimum `dateofbirthdistinctemails4w` for each unique `emailisfree` in the `accountFraud` table. The `GROUP BY` clause groups the rows by `emailisfree`, and the `MIN` function calculates the minimum `dateofbirthdistinctemails4w` for each group.",0.5540549755,llama-8,212,1.0287223992648122,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.02e-05,"SELECT - emailisfree, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will return the maximum value of `dateofbirthdistinctemails4w` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will include the `emailisfree` value and the corresponding maximum `dateofbirthdistinctemails4w` value.",0.5609762669,llama-8,213,1.012477299710565,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.92e-05,"SELECT - emailisfree, - AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will return the average of `dateofbirthdistinctemails4w` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will be grouped by `emailisfree`, and the average value will be calculated for each group.",0.4927752018,llama-8,214,1.0066750522641228,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.1e-05,"SELECT - emailisfree, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will return the sum of `dateofbirthdistinctemails4w` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will be grouped by `emailisfree` and the sum of `dateofbirthdistinctemails4w` will be calculated for each group.",0.619484663,llama-8,215,1.0417593984109517,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `emailisfree`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.2e-05,"SELECT - emailisfree, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will return the minimum session length for each unique emailisfree in the accountFraud table. The result will include the emailisfree and the corresponding minimum session length.",0.467436552,llama-8,216,1.0193814027239856,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `emailisfree`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.82e-05,"SELECT emailisfree, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY emailisfree;","```sql -SELECT emailisfree, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY emailisfree; -``` - -This SQL query will return the `emailisfree` and the maximum `sessionlengthminutes` for each unique `emailisfree` in the `accountFraud` table. The `GROUP BY` clause is used to group the results by `emailisfree`, and the `MAX` function is used to find the maximum `sessionlengthminutes` for each group.",0.4395124912,llama-8,217,1.0107543952450802,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `emailisfree`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.84e-05,"SELECT AVG(sessionlengthminutes) -FROM accountFraud -WHERE emailisfree = 'true';","```sql -SELECT AVG(sessionlengthminutes) -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This SQL query will return the average session length in minutes for all rows in the `accountFraud` table where `emailisfree` is 'true'.",0.3324589729,llama-8,218,0.0,0.0,0.0,0.0,0.5,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `emailisfree`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","For each emailisfree, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.78e-05,"SELECT - emailisfree, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - emailisfree;","```sql -SELECT - emailisfree, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - emailisfree; -``` - -This SQL query will return the sum of `sessionlengthminutes` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will be grouped by `emailisfree` and the total `sessionlengthminutes` will be displayed as `total_session_length` for each group.",0.5099272728,llama-8,219,0.9958312026262929,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.82e-05,"SELECT - employmentstatus, - MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return the minimum value of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The result will include the `employmentstatus` and the corresponding minimum `dateofbirthdistinctemails4w` value.",0.5682256222,llama-8,220,1.0015119779116457,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.16e-05,"SELECT - employmentstatus, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return the maximum value of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The `GROUP BY` clause groups the rows by `employmentstatus`, and the `MAX` function is used to find the maximum value of `dateofbirthdistinctemails4w` for each group.",0.5859489441,llama-8,221,1.0226335649637879,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.74e-05,"SELECT - employmentstatus, - AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return the average of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The results will be grouped by `employmentstatus` and the average value will be calculated for each group.",0.7994074821,llama-8,222,0.9998348007660168,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of dateofbirthdistinctemails4w in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.16e-05,"SELECT - employmentstatus, - SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return the sum of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The result will be grouped by `employmentstatus`, and the sum of `dateofbirthdistinctemails4w` will be displayed as `total_dateofbirthdistinctemails4w` for each group.",0.4772171974,llama-8,223,1.0024647142216592,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MIN,"SELECT `employmentstatus`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the min of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.66e-05,"SELECT - employmentstatus, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - MIN(sessionlengthminutes) AS min_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return the employment status and the minimum session length in minutes for each employment status in the `accountFraud` table. The `GROUP BY` clause groups the rows by the `employmentstatus` column, and the `MIN` function calculates the minimum `sessionlengthminutes` for each group.",0.5114605427,llama-8,224,1.0441598972898214,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-MAX,"SELECT `employmentstatus`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the max of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.7e-05,"SELECT employmentstatus, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY employmentstatus;","```sql -SELECT employmentstatus, MAX(sessionlengthminutes) as max_session_length -FROM accountFraud -GROUP BY employmentstatus; -``` - -This SQL query will return the employment status and the maximum session length in minutes for each employment status in the `accountFraud` table. - -Here's how it works: - -- `SELECT employmentstatus, MAX(sessionlengthminutes)`: This selects the `employmentstatus` column and the maximum value of the `sessionlengthminutes` column. -- `FROM accountFraud`: This specifies the table to query, which is `accountFraud`. -- `GROUP BY employmentstatus`: This groups the results by the `employmentstatus` column, so that the maximum session length is calculated separately for each employment status.",0.9152202606,llama-8,225,1.0054665328203451,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-AVG,"SELECT `employmentstatus`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the avg of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.62e-05,"SELECT - employmentstatus, - AVG(sessionlengthminutes) AS avg_session_length -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - AVG(sessionlengthminutes) AS avg_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return the average session length in minutes for each employment status in the `accountFraud` table. The `GROUP BY` clause groups the results by the `employmentstatus` column, and the `AVG` function calculates the average `sessionlengthminutes` for each group.",0.592361927,llama-8,226,1.0021822447313362,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,GROUPBY,GROUPBY-AGG-SUM,"SELECT `employmentstatus`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","For each employmentstatus, find the sum of sessionlengthminutes in table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.84e-05,"SELECT - employmentstatus, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - employmentstatus;","```sql -SELECT - employmentstatus, - SUM(sessionlengthminutes) AS total_session_length -FROM - accountFraud -GROUP BY - employmentstatus; -``` - -This SQL query will return the employment status and the total sum of session length minutes for each employment status in the `accountFraud` table. The `GROUP BY` clause is used to group the results by the `employmentstatus` column, and the `SUM` function is used to calculate the total sum of `sessionlengthminutes` for each group.",0.4716041088,llama-8,227,1.0202968460499107,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessdate`, COUNT(*) FROM `latePayment` GROUP BY `paperlessdate`","For each paperlessdate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.74e-05,"SELECT - paperlessdate, - COUNT(*) as count -FROM - latePayment -GROUP BY - paperlessdate;","```sql -SELECT - paperlessdate, - COUNT(*) as count -FROM - latePayment -GROUP BY - paperlessdate; -``` - -This SQL query will return a list of unique `paperlessdate` values from the `latePayment` table, along with the count of rows for each `paperlessdate`. The `GROUP BY` clause is used to group the rows by `paperlessdate`, and the `COUNT(*)` function is used to count the number of rows in each group.",0.5160448551,llama-8,228,1.0083274042654466,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `paperlessbill`, COUNT(*) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.86e-05,"SELECT - COUNT(*) as total_late_payments, - lp.paperlessbill -FROM - latePayment lp -GROUP BY - lp.paperlessbill;","```sql -SELECT - COUNT(*) as total_late_payments, - lp.paperlessbill -FROM - latePayment lp -GROUP BY - lp.paperlessbill; -``` - -This SQL query will return the total number of late payments for each paperless bill. The `GROUP BY` clause groups the rows by the `paperlessbill` column, and the `COUNT(*)` function counts the number of rows in each group. The result will be a table with two columns: `total_late_payments` and `paperlessbill`.",0.6245586872,llama-8,229,1.0230529326279072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `customerid`, COUNT(*) FROM `latePayment` GROUP BY `customerid`","For each customerid, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.38e-05,"SELECT - customerid, - COUNT(*) as count_of_late_payments -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - COUNT(*) as count_of_late_payments -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return a list of customer IDs along with the count of late payments for each customer. The `GROUP BY` clause groups the rows by the `customerid` column, and the `COUNT(*)` function counts the number of rows in each group.",0.4798579216,llama-8,230,1.0837086856188547,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `duedate`, COUNT(*) FROM `latePayment` GROUP BY `duedate`","For each duedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.72e-05,"SELECT - duedate, - COUNT(*) as count_of_late_payments -FROM - latePayment -GROUP BY - duedate;","```sql -SELECT - duedate, - COUNT(*) as count_of_late_payments -FROM - latePayment -GROUP BY - duedate; -``` - -This SQL query will return a list of unique due dates from the `latePayment` table along with the count of rows for each due date. The `GROUP BY` clause is used to group the rows by the `duedate` column, and the `COUNT(*)` function is used to count the number of rows in each group.",0.7423143387,llama-8,231,1.0083782524862375,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-COUNT,"SELECT `invoicedate`, COUNT(*) FROM `latePayment` GROUP BY `invoicedate`","For each invoicedate, count the number of rows in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.9e-05,"SELECT - invoicedate, - COUNT(*) as count -FROM - latePayment -GROUP BY - invoicedate;","```sql -SELECT - invoicedate, - COUNT(*) as count -FROM - latePayment -GROUP BY - invoicedate; -``` - -This SQL query will return a list of unique invoicedates along with the count of rows for each invoicedate in the latePayment table. - -Here's how it works: - -- `SELECT invoicedate, COUNT(*) as count`: This selects the invoicedate column and counts the number of rows for each invoicedate. The `COUNT(*)` function counts the number of rows in each group. - -- `FROM latePayment`: This specifies the table from which to retrieve the data. - -- `GROUP BY invoicedate`: This groups the rows by the invoicedate column, so that the count is calculated for each unique invoicedate.",0.7229325771,llama-8,232,0.9884135490722298,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.64e-05,"SELECT - paperlessbill, - MIN(daystosettle) as min_daystosettle -FROM - latePayment -GROUP BY - paperlessbill;","```sql -SELECT - MIN(daystosettle) -FROM - latePayment -WHERE - paperlessbill = 'paperlessbill'; -``` - -However, the above SQL query will return the minimum daystosettle for all paperlessbills. If you want to get the minimum daystosettle for each paperlessbill, you can use the following SQL query: - -```sql -SELECT - paperlessbill, - MIN(daystosettle) as min_daystosettle -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return a list of all unique paperlessbills along with the minimum daystosettle for each paperlessbill.",0.5933299065,llama-8,233,1.0140510472478572,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.66e-05,"SELECT paperlessbill, MAX(daystosettle) as max_daystosettle -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT MAX(daystosettle) -FROM latePayment -WHERE paperlessbill = 'paperlessbill'; -``` - -This SQL query will return the maximum value of `daystosettle` for each `paperlessbill` in the `latePayment` table. However, if you want to get the maximum `daystosettle` for each unique `paperlessbill`, you can use the following query: - -```sql -SELECT paperlessbill, MAX(daystosettle) as max_daystosettle -FROM latePayment -GROUP BY paperlessbill; -``` - -This query will return a list of all unique `paperlessbill` values along with their corresponding maximum `daystosettle` values.",0.6016318798,llama-8,234,1.0103457178095303,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.46e-05,"SELECT paperlessbill, AVG(daystosettle) as avg_daystosettle -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT AVG(daystosettle) -FROM latePayment -WHERE paperlessbill = 'paperlessbill'; -``` - -This SQL query will return the average of `daystosettle` for each `paperlessbill` in the `latePayment` table. - -However, if you want to get the average for each `paperlessbill` separately, you can use the following query: - -```sql -SELECT paperlessbill, AVG(daystosettle) as avg_daystosettle -FROM latePayment -GROUP BY paperlessbill; -``` - -This query will return a list of all `paperlessbill` and their corresponding average `daystosettle`.",0.6928052902,llama-8,235,1.0035316638684009,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.1e-05,"SELECT - paperlessbill, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - paperlessbill;","```sql -SELECT - SUM(latePayment.daystosettle) -FROM - latePayment -WHERE - latePayment.paperlessbill = 'paperlessbill'; -``` - -This SQL query will return the sum of `daystosettle` for each `paperlessbill` in the `latePayment` table. - -However, if you want to get the sum of `daystosettle` for each unique `paperlessbill`, you can use the following query: - -```sql -SELECT - paperlessbill, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return a list of all unique `paperlessbill` values along with the sum of `daystosettle` for each one.",0.7628386021,llama-8,236,1.032393755165419,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `paperlessbill`, MIN(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.5e-05,"SELECT - paperlessbill, - MIN(dayslate) AS min_dayslate -FROM - latePayment -GROUP BY - paperlessbill;","```sql -SELECT - paperlessbill, - MIN(dayslate) AS min_dayslate -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This SQL query will return the minimum number of days late for each paperless bill. The `GROUP BY` clause groups the results by the `paperlessbill` column, and the `MIN` function calculates the minimum value of the `dayslate` column for each group.",0.4754314423,llama-8,237,1.007776486420148,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `paperlessbill`, MAX(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.5e-05,"SELECT - paperlessbill, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - paperlessbill;","```sql -SELECT - paperlessbill, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This SQL query will return the maximum number of days late for each paperless bill. The `GROUP BY` clause groups the results by the `paperlessbill` column, and the `MAX` function calculates the maximum value of the `dayslate` column for each group.",0.4495429993,llama-8,238,0.9804515403556601,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `paperlessbill`, AVG(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.1e-05,"SELECT paperlessbill, AVG(dayslate) as avg_days_late -FROM latePayment -GROUP BY paperlessbill;","```sql -SELECT AVG(dayslate) -FROM latePayment -WHERE paperlessbill = 'paperlessbill'; -``` - -This SQL query will return the average number of days late for all paperless bills in the `latePayment` table. - -However, if you want to get the average days late for each paperless bill, you can use the following query: - -```sql -SELECT paperlessbill, AVG(dayslate) as avg_days_late -FROM latePayment -GROUP BY paperlessbill; -``` - -This query will return a list of all paperless bills along with their average days late.",0.6487586498,llama-8,239,1.030535099427993,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `paperlessbill`, SUM(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","For each paperlessbill, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.58e-05,"SELECT - paperlessbill, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - paperlessbill;","```sql -SELECT - SUM(latePayment.dayslate) -FROM - latePayment -WHERE - latePayment.paperlessbill = 'paperlessbill'; -``` - -This SQL query will return the sum of dayslate for each paperlessbill in the latePayment table. However, if you want to get the sum of dayslate for each paperlessbill separately, you would need to use a GROUP BY clause: - -```sql -SELECT - paperlessbill, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - paperlessbill; -``` - -This query will return a list of all paperlessbills with the total number of days they were late.",0.9148313999,llama-8,240,0.9968983503602382,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.7e-05,"SELECT - customerid, - MIN(daystosettle) AS min_daystosettle -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - MIN(daystosettle) AS min_daystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return the minimum `daystosettle` for each `customerid` in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `MIN` function is used to find the minimum `daystosettle` for each group.",0.5728332996,llama-8,241,1.0077480982972769,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.6e-05,"SELECT - customerid, - MAX(daystosettle) AS max_daystosettle -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - MAX(daystosettle) AS max_daystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return a list of customer IDs along with the maximum number of days to settle for each customer. The `GROUP BY` clause groups the results by customer ID, and the `MAX` function calculates the maximum value of `daystosettle` for each group.",0.6122517586,llama-8,242,0.9954277477588211,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.64e-05,"SELECT - customerid, - AVG(daystosettle) AS avg_daystosettle -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - AVG(daystosettle) AS avg_daystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return the average number of days to settle for each customer ID in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `AVG` function calculates the average of `daystosettle` for each group.",0.998606205,llama-8,243,0.9989786708947427,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of daystosettle in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.7e-05,"SELECT - customerid, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - SUM(daystosettle) AS total_daystosettle -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return a list of customer IDs along with the total sum of daystosettle for each customer. The `GROUP BY` clause is used to group the results by customer ID, and the `SUM` function is used to calculate the total sum of daystosettle for each group.",0.4453732967,llama-8,244,0.986619976638511,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MIN,"SELECT `customerid`, MIN(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the min of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.4e-05,"SELECT - customerid, - MIN(dayslate) AS min_dayslate -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - MIN(dayslate) AS min_dayslate -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return a list of customer IDs along with the minimum number of days late for each customer. The `GROUP BY` clause groups the results by customer ID, and the `MIN` function calculates the minimum value of `dayslate` for each group.",0.518130064,llama-8,245,1.0300787630435326,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-MAX,"SELECT `customerid`, MAX(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the max of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.46e-05,"SELECT - customerid, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - MAX(dayslate) AS max_dayslate -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return the maximum number of days late for each customer ID in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `MAX` function calculates the maximum value of `dayslate` for each group.",1.0175156593,llama-8,246,1.0076287170118783,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-AVG,"SELECT `customerid`, AVG(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the avg of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.44e-05,"SELECT - customerid, - AVG(dayslate) as avg_dayslate -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - AVG(dayslate) as avg_dayslate -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return the average number of days late for each customer ID in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `AVG` function calculates the average `dayslate` for each group.",0.5894033909,llama-8,247,1.006320195302674,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,GROUPBY,GROUPBY-AGG-SUM,"SELECT `customerid`, SUM(`dayslate`) FROM `latePayment` GROUP BY `customerid`","For each customerid, find the sum of dayslate in table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.4e-05,"SELECT - customerid, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - customerid;","```sql -SELECT - customerid, - SUM(dayslate) AS total_days_late -FROM - latePayment -GROUP BY - customerid; -``` - -This SQL query will return a list of customer IDs along with the total number of days late for each customer. The `GROUP BY` clause groups the results by customer ID, and the `SUM` function calculates the total number of days late for each group.",0.4913315773,llama-8,248,1.0210317762370391,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) >= 5,Find all the paymenttype that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.16e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(paymenttype) >= 5;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(paymenttype) >= 5; -``` - -This SQL query will return all the unique `paymenttype` values from the `accountFraud` table that have at least 5 records. - -Here's how it works: - -- `GROUP BY paymenttype` groups the results by the `paymenttype` column. -- `COUNT(paymenttype)` counts the number of records for each group. -- `HAVING COUNT(paymenttype) >= 5` filters the results to only include groups with 5 or more records.",0.867442131,llama-8,249,1.0049220384877688,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) <= 5,Find all the paymenttype that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.22e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(paymenttype) <= 5;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING COUNT(paymenttype) <= 5; -``` - -This SQL query will return all the unique `paymenttype` values from the `accountFraud` table that have at most 5 records. - -Here's how it works: - -- `GROUP BY paymenttype` groups the rows of the table by the `paymenttype` column. -- `COUNT(paymenttype)` counts the number of rows in each group. -- `HAVING COUNT(paymenttype) <= 5` filters the groups to only include those with 5 or fewer rows.",0.7453863621,llama-8,250,1.1721241290897366,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) >= 5,Find all the deviceos that have at least 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.74e-05,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(deviceos) >= 5;","```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(deviceos) >= 5; -``` - -This SQL query will return all the unique `deviceos` values from the `accountFraud` table that have at least 5 records. - -Here's how it works: - -- `GROUP BY deviceos`: This groups the results by the `deviceos` column, so we can count the number of records for each `deviceos` value. -- `COUNT(deviceos)`: This counts the number of records for each `deviceos` value. -- `HAVING COUNT(deviceos) >= 5`: This filters the results to only include `deviceos` values that have at least 5 records.",1.0369956493,llama-8,251,1.0296354293737031,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) <= 5,Find all the deviceos that have at most 5 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.24e-05,"SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(deviceos) <= 5;","```sql -SELECT deviceos -FROM accountFraud -GROUP BY deviceos -HAVING COUNT(deviceos) <= 5; -``` - -This SQL query will return all the unique `deviceos` values from the `accountFraud` table where the count of records for each `deviceos` is less than or equal to 5. - -Here's how it works: - -- `GROUP BY deviceos` groups the records by the `deviceos` column. -- `HAVING COUNT(deviceos) <= 5` filters the groups to only include those where the count of records is less than or equal to 5.",0.8651068211,llama-8,252,0.9898316820225481,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) >= 10,Find all the emailisfree that have at least 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.38e-05,"SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) >= 10;","```sql -SELECT emailisfree -FROM accountFraud -GROUP BY emailisfree -HAVING COUNT(*) >= 10; -``` - -This SQL query will return all the unique `emailisfree` values from the `accountFraud` table where the count of records for each `emailisfree` is 10 or more. - -Here's how it works: - -- `GROUP BY emailisfree` groups the records by the `emailisfree` column. -- `COUNT(*)` counts the number of records in each group. -- `HAVING COUNT(*) >= 10` filters the groups to only include those with 10 or more records.",0.782879591,llama-8,253,1.0155632762750753,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-COUNT,SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) <= 10,Find all the emailisfree that have at most 10 records in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.32e-05,"SELECT emailisfree -FROM accountFraud -WHERE (SELECT COUNT(*) - FROM accountFraud - WHERE emailisfree = accountFraud.emailisfree) <= 10;","```sql -SELECT emailisfree -FROM accountFraud -WHERE (SELECT COUNT(*) - FROM accountFraud - WHERE emailisfree = accountFraud.emailisfree) <= 10; -``` - -This SQL query works as follows: - -1. It selects the `emailisfree` column from the `accountFraud` table. -2. It uses a subquery to count the number of records for each `emailisfree` value in the `accountFraud` table. -3. It filters the results to include only the `emailisfree` values that have a count of 10 or less in the subquery.",1.0866923332,llama-8,254,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) >= 141.44,List the hasothercards which average of creditriskscore is at least 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.26e-05,"SELECT hasothercards -FROM accountFraud -WHERE creditriskscore >= 141.44;","```sql -SELECT hasothercards -FROM accountFraud -WHERE creditriskscore >= 141.44; -``` - -This SQL query will return all the rows from the `accountFraud` table where the `creditriskscore` is at least 141.44. The `hasothercards` column will be included in the result.",0.632140398,llama-8,255,0.0,0.5,1.0,0.0,0.143,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) <= 141.44,List the hasothercards which average of creditriskscore is at most 141.44 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.4e-05,"SELECT hasothercards, AVG(creditriskscore) as average_creditriskscore -FROM accountFraud -WHERE creditriskscore <= 141.44 -GROUP BY hasothercards;","```sql -SELECT hasothercards -FROM accountFraud -WHERE creditriskscore <= 141.44 -GROUP BY hasothercards -HAVING AVG(creditriskscore) <= 141.44; -``` - -However, the above SQL query will return all the `hasothercards` values that have an average `creditriskscore` of at most 141.44. If you want to get the average `creditriskscore` for each `hasothercards` value, you can use the following query: - -```sql -SELECT hasothercards, AVG(creditriskscore) as average_creditriskscore -FROM accountFraud -WHERE creditriskscore <= 141.44 -GROUP BY hasothercards; -``` - -This query will return the `hasothercards` values and their corresponding average `creditriskscore` values.",1.4883916378,llama-8,256,0.0,0.25,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) >= 1144.5,List the hasothercards which summation of creditriskscore is at least 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.72e-05,"SELECT hasothercards, SUM(creditriskscore) as total_credit_risk_score -FROM accountFraud -WHERE creditriskscore * hasothercards >= 1144.5 -GROUP BY hasothercards;","```sql -SELECT hasothercards -FROM accountFraud -WHERE creditriskscore * hasothercards >= 1144.5; -``` - -This SQL query will return the `hasothercards` values from the `accountFraud` table where the sum of `creditriskscore` and `hasothercards` is at least 1144.5. - -However, if you want to get the sum of `creditriskscore` for each `hasothercards` value that meets the condition, you can use the following query: - -```sql -SELECT hasothercards, SUM(creditriskscore) as total_credit_risk_score -FROM accountFraud -WHERE creditriskscore * hasothercards >= 1144.5 -GROUP BY hasothercards; -``` - -This query will return the `hasothercards` values and the sum of `creditriskscore` for each value that meets the condition.",1.1223421097,llama-8,257,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) <= 1144.5,List the hasothercards which summation of creditriskscore is at most 1144.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.68e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5;","```sql -SELECT hasothercards -FROM accountFraud -WHERE creditriskscore * (SELECT COUNT(*) FROM accountFraud) <= 1144.5; -``` - -However, the above SQL query will not give the correct result because it multiplies the creditriskscore with the total count of rows in the table. - -If you want to get the hasothercards where the summation of creditriskscore is at most 1144.5, you should use the GROUP BY clause and the HAVING clause. Here is the correct SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(creditriskscore) <= 1144.5; -``` - -This SQL query will group the rows by the hasothercards column and then select the hasothercards where the summation of creditriskscore is at most 1144.5.",1.15244174,llama-8,258,1.0051136151578413,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) >= 7.85,List the hasothercards which average of sessionlengthminutes is at least 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.86e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85;","```sql -SELECT hasothercards -FROM accountFraud -WHERE AVG(sessionlengthminutes) >= 7.85; -``` - -However, the above SQL query will not work as expected because the AVG function in SQL is an aggregate function that requires a GROUP BY clause to be used with it. - -To get the desired result, you should use a subquery or a HAVING clause. Here's how you can do it: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) >= 7.85; -``` - -This SQL query will return all the unique values of `hasothercards` where the average of `sessionlengthminutes` is at least 7.85.",1.2573156357,llama-8,259,1.0107582145630836,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) <= 7.85,List the hasothercards which average of sessionlengthminutes is at most 7.85 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.36e-05,"SELECT hasothercards -FROM accountFraud -WHERE sessionlengthminutes <= 7.85 -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85;","```sql -SELECT hasothercards -FROM accountFraud -WHERE sessionlengthminutes <= 7.85 -GROUP BY hasothercards -HAVING AVG(sessionlengthminutes) <= 7.85; -``` - -This SQL query will return the `hasothercards` values from the `accountFraud` table where the average `sessionlengthminutes` is at most 7.85. - -Here's how it works: - -1. `SELECT hasothercards`: Selects the `hasothercards` column from the `accountFraud` table. -2. `FROM accountFraud`: Specifies the table to query. -3. `WHERE sessionlengthminutes <= 7.85`: Filters the results to only include rows where `sessionlengthminutes` is less than or equal to 7.85. -4. `GROUP BY hasothercards`: Groups the results by the `hasothercards` column. -5. `HAVING AVG(sessionlengthminutes) <= 7.85`: Filters the grouped results to only include groups where the average `sessionlengthminutes` is less than or equal to 7.85.",1.362767458,llama-8,260,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) >= 58.5,List the hasothercards which summation of sessionlengthminutes is at least 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.24e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5;","```sql -SELECT hasothercards -FROM accountFraud -WHERE SUM(sessionlengthminutes) >= 58.5; -``` - -However, this SQL query will not work as expected because the `SUM` function is an aggregate function that requires a `GROUP BY` clause to group the results by the `hasothercards` column. - -If you want to get the `hasothercards` values where the sum of `sessionlengthminutes` is at least 58.5 for each group, you can use the following query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) >= 58.5; -``` - -This query will return all unique `hasothercards` values where the sum of `sessionlengthminutes` is at least 58.5.",1.1645433903,llama-8,261,0.9976701382363922,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) <= 58.5,List the hasothercards which summation of sessionlengthminutes is at most 58.5 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001008,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) <= 58.5;","```sql -SELECT hasothercards -FROM accountFraud -WHERE SUM(sessionlengthminutes) <= 58.5; -``` - -However, the above SQL query will not work as expected because the `SUM` function is an aggregate function that requires a `GROUP BY` clause to group the rows by a specific column. - -If you want to get the `hasothercards` values for all rows where the sum of `sessionlengthminutes` is at most 58.5, you can use the following SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -WHERE sessionlengthminutes <= 58.5; -``` - -This query will return all `hasothercards` values for rows where the `sessionlengthminutes` is at most 58.5. - -If you want to get the `hasothercards` values for rows where the sum of `sessionlengthminutes` is at most 58.5, you can use the following SQL query: - -```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING SUM(sessionlengthminutes) <= 58.5; -``` - -This query will return all `hasothercards` values for rows where the sum of `sessionlengthminutes` is at most 58.5.",1.669203043,llama-8,262,1.028040649509979,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) >= 109.56,List the paymenttype which average of creditriskscore is at least 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.32e-05,"SELECT paymenttype -FROM accountFraud -WHERE creditriskscore >= 219.12;","```sql -SELECT paymenttype -FROM accountFraud -WHERE creditriskscore / 2 >= 109.56; -``` - -However, the above SQL query will not give the exact result as the average of creditriskscore is not calculated in the query. - -To get the exact result, you should calculate the average of creditriskscore first and then filter the results. - -```sql -SELECT paymenttype -FROM accountFraud -WHERE creditriskscore >= 219.12; -``` - -This query will return the paymenttype where the creditriskscore is at least 109.56.",1.0650041103,llama-8,263,0.0,1.0,0.667,0.0,0.667,0.667,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) <= 109.56,List the paymenttype which average of creditriskscore is at most 109.56 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.24e-05,"SELECT paymenttype -FROM accountFraud -WHERE creditriskscore <= 109.56 -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56;","```sql -SELECT paymenttype -FROM accountFraud -WHERE creditriskscore <= 109.56 -GROUP BY paymenttype -HAVING AVG(creditriskscore) <= 109.56; -``` - -This SQL query will return the `paymenttype` from the `accountFraud` table where the average `creditriskscore` is at most 109.56. - -Here's how it works: - -1. `SELECT paymenttype`: Selects the `paymenttype` column from the `accountFraud` table. -2. `FROM accountFraud`: Specifies the table to query. -3. `WHERE creditriskscore <= 109.56`: Filters the rows where the `creditriskscore` is less than or equal to 109.56. -4. `GROUP BY paymenttype`: Groups the remaining rows by the `paymenttype` column. -5. `HAVING AVG(creditriskscore) <= 109.56`: Filters the groups where the average `creditriskscore` is less than or equal to 109.56.",1.0564055443,llama-8,264,0.0,0.25,1.0,0.0,0.25,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) >= 572.25,List the paymenttype which summation of creditriskscore is at least 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.1e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) >= 572.25; -``` - -This SQL query will return the `paymenttype` values from the `accountFraud` table where the sum of `creditriskscore` is at least 572.25. The `GROUP BY` clause groups the results by `paymenttype`, and the `HAVING` clause filters the results to only include groups where the sum of `creditriskscore` meets the specified condition.",1.1077182293,llama-8,265,1.0068452460740374,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) <= 572.25,List the paymenttype which summation of creditriskscore is at most 572.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.9e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25;","```sql -SELECT paymenttype -FROM accountFraud -WHERE SUM(creditriskscore) <= 572.25; -``` - -However, the above SQL query will not work as expected because the SUM() function is an aggregate function that requires a GROUP BY clause to group the rows by a specific column. - -If you want to get the payment type where the sum of credit risk score is at most 572.25 for all rows in the table, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -WHERE creditriskscore <= 572.25; -``` - -This query will return all payment types where the credit risk score is at most 572.25. - -If you want to get the payment type where the sum of credit risk score is at most 572.25 for each group of rows with the same payment type, you can use the following SQL query: - -```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(creditriskscore) <= 572.25; -``` - -This query will return all payment types where the sum of credit risk score is at most 572.25 for each group of rows with the same payment type.",1.1089234352,llama-8,266,0.997600097961052,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) >= 5.45,List the paymenttype which average of sessionlengthminutes is at least 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001086,"WITH ranked_sessions AS ( - SELECT paymenttype, sessionlengthminutes, - ROW_NUMBER() OVER (ORDER BY sessionlengthminutes DESC) AS row_num - FROM accountFraud -) -SELECT paymenttype -FROM ranked_sessions -WHERE row_num <= (SELECT COUNT(*) FROM accountFraud) * 0.95;","```sql -SELECT paymenttype -FROM accountFraud -WHERE AVG(sessionlengthminutes) >= 5.45; -``` - -However, the above SQL query will not work as expected because the `AVG` function is an aggregate function that calculates the average of a group of values. In this case, it will be applied to all rows in the table, not just the rows that meet the condition. - -To get the desired result, you should use a subquery or a window function. Here's an example using a subquery: - -```sql -SELECT paymenttype -FROM accountFraud -WHERE sessionlengthminutes >= (SELECT AVG(sessionlengthminutes) FROM accountFraud) * 1.05; -``` - -This query will return the `paymenttype` where the `sessionlengthminutes` is at least 5.45 times the average `sessionlengthminutes` in the table. - -Alternatively, you can use a window function like `ROW_NUMBER` or `RANK` to achieve the same result: - -```sql -WITH ranked_sessions AS ( - SELECT paymenttype, sessionlengthminutes, - ROW_NUMBER() OVER (ORDER BY sessionlengthminutes DESC) AS row_num - FROM accountFraud -) -SELECT paymenttype -FROM ranked_sessions -WHERE row_num <= (SELECT COUNT(*) FROM accountFraud) * 0.95; -``` - -This query will return the `paymenttype` where the `sessionlengthminutes` is in the top 95% of the values in the table.",1.7389645576,llama-8,267,0.0,0.5,1.0,0.0,0.105,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-AVG,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) <= 5.45,List the paymenttype which average of sessionlengthminutes is at most 5.45 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.000102,"SELECT paymenttype -FROM ( - SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length - FROM accountFraud - GROUP BY paymenttype -) AS subquery -WHERE avg_session_length <= 5.45;","```sql -SELECT paymenttype -FROM accountFraud -WHERE AVG(sessionlengthminutes) <= 5.45; -``` - -However, the above SQL query will return all payment types that have an average session length of at most 5.45, but it will not consider the average session length for each payment type separately. - -To get the desired result, you should use a subquery or a window function to calculate the average session length for each payment type, and then filter the results to include only the payment types with an average session length of at most 5.45. - -Here's an example using a subquery: - -```sql -SELECT paymenttype -FROM accountFraud -WHERE paymenttype IN ( - SELECT paymenttype - FROM accountFraud - GROUP BY paymenttype - HAVING AVG(sessionlengthminutes) <= 5.45 -); -``` - -And here's an example using a window function (available in SQL Server, PostgreSQL, and Oracle): - -```sql -SELECT paymenttype -FROM ( - SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length - FROM accountFraud - GROUP BY paymenttype -) AS subquery -WHERE avg_session_length <= 5.45; -``` - -Note that the window function approach is generally more efficient than the subquery approach, especially for large datasets.",1.4377276897,llama-8,268,1.0023971730442578,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) >= 29.25,List the paymenttype which summation of sessionlengthminutes is at least 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.74e-05,"SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25;","```sql -SELECT paymenttype -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) >= 29.25; -``` - -This SQL query will return the `paymenttype` from the `accountFraud` table where the sum of `sessionlengthminutes` is at least 29.25. The `GROUP BY` clause groups the rows by `paymenttype`, and the `HAVING` clause filters the groups based on the condition specified.",0.9132652283,llama-8,269,1.0455536094519526,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,HAVING,HAVING-AGG-SUM,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) <= 29.25,List the paymenttype which summation of sessionlengthminutes is at most 29.25 in table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001092,"SELECT paymenttype, SUM(sessionlengthminutes) as total_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25;","```sql -SELECT paymenttype -FROM accountFraud -WHERE SUM(sessionlengthminutes) <= 29.25; -``` - -However, the above SQL query will not work as expected because the SUM function in SQL aggregates all the values in the sessionlengthminutes column and then checks if the result is less than or equal to 29.25. This is not what we want. We want to check if the sum of sessionlengthminutes for each row is less than or equal to 29.25. - -To achieve this, we need to use a subquery or a window function. Here's how you can do it using a subquery: - -```sql -SELECT paymenttype -FROM accountFraud -WHERE sessionlengthminutes <= 29.25 -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25; -``` - -This query will return the paymenttype for which the sum of sessionlengthminutes is at most 29.25. - -However, if you want to get the sum of sessionlengthminutes for each paymenttype and then filter the results, you can use the following query: - -```sql -SELECT paymenttype, SUM(sessionlengthminutes) as total_session_length -FROM accountFraud -GROUP BY paymenttype -HAVING SUM(sessionlengthminutes) <= 29.25; -``` - -This query will return all the paymenttypes for which the sum of sessionlengthminutes is at most 29.25, along with the total sum of sessionlengthminutes for each paymenttype.",1.6398169994,llama-8,270,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) >= 1,Find all the customerid that have at least 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.6e-05,"SELECT DISTINCT customerid -FROM latePayment;","```sql -SELECT DISTINCT customerid -FROM latePayment; -``` - -This SQL query will return all unique `customerid` values from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3807427883,llama-8,271,0.9831905229267395,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) <= 1,Find all the customerid that have at most 1 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.16e-05,"SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(customerid) <= 1;","```sql -SELECT customerid -FROM latePayment -GROUP BY customerid -HAVING COUNT(customerid) <= 1; -``` - -This SQL query works as follows: - -- `GROUP BY customerid` groups the rows in the `latePayment` table by the `customerid` column. -- `COUNT(customerid)` counts the number of rows in each group. -- `HAVING COUNT(customerid) <= 1` filters the groups to only include those with a count of 1 or less, effectively returning the `customerid`s that have at most 1 record in the `latePayment` table.",0.9077000618,llama-8,272,1.0026139848981626,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) >= 10,Find all the disputed that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.7e-05,"SELECT * -FROM latePayment -WHERE disputed = 'true' -GROUP BY customerid -HAVING COUNT(*) >= 10;","```sql -SELECT * -FROM latePayment -WHERE disputed = 'true' -GROUP BY customerid -HAVING COUNT(*) >= 10; -``` - -This SQL query will return all the records from the `latePayment` table where the `disputed` column is 'true' and the customer has at least 10 records in the table. The `GROUP BY` clause groups the records by customer ID, and the `HAVING` clause filters the groups to only include those with 10 or more records.",0.4876937866,llama-8,273,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) <= 10,Find all the disputed that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.46e-05,"SELECT * -FROM latePayment -WHERE disputed = 'true' AND customerid IN ( - SELECT customerid - FROM latePayment - GROUP BY customerid - HAVING COUNT(*) <= 10 -);","```sql -SELECT * -FROM latePayment -WHERE disputed = 'true' AND customerid IN ( - SELECT customerid - FROM latePayment - GROUP BY customerid - HAVING COUNT(*) <= 10 -); -``` - -This SQL query will return all the records from the `latePayment` table where the `disputed` field is 'true' and the customer has at most 10 records in the `latePayment` table.",0.434710741,llama-8,274,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) >= 10,Find all the paperlessbill that have at least 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.72e-05,"SELECT - lp.paperlessbill -FROM - latePayment lp -GROUP BY - lp.paperlessbill -HAVING - COUNT(lp.customerid) >= 10;","```sql -SELECT - lp.paperlessbill -FROM - latePayment lp -GROUP BY - lp.paperlessbill -HAVING - COUNT(lp.customerid) >= 10; -``` - -This SQL query will return all the unique `paperlessbill` values from the `latePayment` table where the count of records for each `paperlessbill` is at least 10. - -Here's how it works: - -- `GROUP BY lp.paperlessbill` groups the results by the `paperlessbill` column. -- `COUNT(lp.customerid)` counts the number of records for each group. -- `HAVING COUNT(lp.customerid) >= 10` filters the results to only include groups with at least 10 records.",0.6009736061,llama-8,275,1.0172521028528374,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-COUNT,SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) <= 10,Find all the paperlessbill that have at most 10 records in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.52e-05,"SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(customerid) <= 10;","```sql -SELECT paperlessbill -FROM latePayment -GROUP BY paperlessbill -HAVING COUNT(customerid) <= 10; -``` - -This SQL query will return all the unique `paperlessbill` values from the `latePayment` table where the count of records for each `paperlessbill` is less than or equal to 10. - -Here's how it works: - -- `GROUP BY paperlessbill` groups the records by the `paperlessbill` column. -- `COUNT(customerid)` counts the number of records for each group. -- `HAVING COUNT(customerid) <= 10` filters the groups to only include those with a count of 10 or less.",1.0084810257,llama-8,276,1.0644388644224116,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) >= 2.95,List the invoicedate which average of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.02e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) >= 2.95; -``` - -This SQL query will return the `invoicedate` for which the average of `dayslate` is at least 2.95 in the `latePayment` table. The `GROUP BY` clause groups the rows by `invoicedate`, and the `HAVING` clause filters the groups to only include those where the average `dayslate` is at least 2.95.",0.5429759026,llama-8,277,1.0170726811934918,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) <= 2.95,List the invoicedate which average of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.88e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95;","```sql -SELECT invoicedate -FROM latePayment -WHERE dayslate <= 2.95; -``` - -This SQL query will return all the `invoicedate` values from the `latePayment` table where the `dayslate` is less than or equal to 2.95. - -However, if you want to get the average of `dayslate` for each `invoicedate` and then filter the results to get only the `invoicedate` where the average of `dayslate` is at most 2.95, you can use the following query: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(dayslate) <= 2.95; -``` - -This query will group the results by `invoicedate` and then apply the `HAVING` clause to filter the results to get only the `invoicedate` where the average of `dayslate` is at most 2.95.",0.9250500202,llama-8,278,0.9982672052453031,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) >= 2.95,List the invoicedate which summation of dayslate is at least 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.76e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(dayslate) >= 2.95; -``` - -This SQL query will return the `invoicedate` values from the `latePayment` table where the sum of `dayslate` is at least 2.95. The `GROUP BY` clause groups the rows by `invoicedate`, and the `HAVING` clause filters the groups based on the condition.",0.6303977966,llama-8,279,0.9865024180429054,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) <= 2.95,List the invoicedate which summation of dayslate is at most 2.95 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.78e-05,"SELECT invoicedate -FROM latePayment -WHERE invoicedate IN ( - SELECT invoicedate - FROM latePayment - GROUP BY invoicedate - HAVING SUM(dayslate) <= 2.95 -);","```sql -SELECT invoicedate -FROM latePayment -WHERE dayslate <= 2.95; -``` - -However, since `dayslate` is an integer column, it cannot be less than or equal to a decimal value. It seems like you want to find the `invoicedate` where the sum of `dayslate` is at most 2.95. If that's the case, you would need to use a subquery or a window function to calculate the sum of `dayslate` for each `invoicedate`. Here's an example using a subquery: - -```sql -SELECT invoicedate -FROM latePayment -WHERE invoicedate IN ( - SELECT invoicedate - FROM latePayment - GROUP BY invoicedate - HAVING SUM(dayslate) <= 2.95 -); -``` - -This query will return all `invoicedate`s where the sum of `dayslate` is at most 2.95.",0.7965159416,llama-8,280,1.0539759534000286,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) >= 4902805164.55,List the invoicedate which average of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.72e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) >= 4902805164.55; -``` - -This SQL query will return the `invoicedate` values from the `latePayment` table where the average of `invoicenumber` is at least 4902805164.55. - -Note: The average of `invoicenumber` is calculated for each group of `invoicedate` values. If you want to calculate the average of `invoicenumber` across all rows in the table, you should remove the `GROUP BY` clause. However, this would not make sense in this context because you are trying to find the average of `invoicenumber` for each `invoicedate`. - -Also, note that the average of `invoicenumber` is a very large number, which is likely to be incorrect. It's possible that you meant to calculate the average of `invoiceamount` instead. If that's the case, you should replace `invoicenumber` with `invoiceamount` in the query.",0.9930889606,llama-8,281,1.0119691275474427,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) <= 4902805164.55,List the invoicedate which average of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -WHERE AVG(invoicenumber) <= 4902805164.55; -``` - -However, the above SQL query will not work as expected because the AVG function in SQL is an aggregate function that requires a GROUP BY clause to work correctly. - -To get the average of invoicenumber for each invoicedate and then filter the results, you can use the following SQL query: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING AVG(invoicenumber) <= 4902805164.55; -``` - -This query will return all the invoicedate where the average of invoicenumber is at most 4902805164.55.",0.6022384167,llama-8,282,1.0388478356784545,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) >= 4902805164.55,List the invoicedate which summation of invoicenumber is at least 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.2e-05,"SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoiceamount) >= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoicenumber) >= 4902805164.55; -``` - -This SQL query will return the `invoicedate` values from the `latePayment` table where the sum of `invoicenumber` is at least 4902805164.55. - -Note: The `invoicenumber` column is of type `INTEGER` in the database schema, which means it cannot store decimal values. Therefore, the sum of `invoicenumber` will also be an integer. If you want to sum decimal values, you should use a column of type `REAL` or `FLOAT`. - -However, if you want to sum the `invoiceamount` column instead of `invoicenumber`, you can use the following query: - -```sql -SELECT invoicedate -FROM latePayment -GROUP BY invoicedate -HAVING SUM(invoiceamount) >= 4902805164.55; -```",1.0226445198,llama-8,283,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) <= 4902805164.55,List the invoicedate which summation of invoicenumber is at most 4902805164.55 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001292,"SELECT l.invoicedate -FROM latePayment l -JOIN ( - SELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber - FROM latePayment - GROUP BY invoicedate -) s ON l.invoicedate = s.invoicedate -WHERE s.total_invoicenumber <= 4902805164.55;","```sql -SELECT invoicedate -FROM latePayment -WHERE SUM(invoicenumber) <= 4902805164.55; -``` - -However, the above SQL query will not work as expected because the SUM function in SQL is used to calculate the total sum of a column, not to filter rows based on the sum of a column. - -To achieve the desired result, you can use a subquery or a window function. Here's an example using a subquery: - -```sql -SELECT invoicedate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 4902805164.55 -); -``` - -This query will return all the invoicedate where the sum of invoicenumber is at most 4902805164.55. - -However, the above query will not work as expected because the invoicenumber is an integer and the sum of invoicenumber will also be an integer. So, the condition `SUM(invoicenumber) <= 4902805164.55` will never be true. - -If you want to get the sum of invoicenumber for each group of invoicedate and then filter the groups where the sum is at most 4902805164.55, you can use the following query: - -```sql -SELECT l.invoicedate -FROM latePayment l -JOIN ( - SELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber - FROM latePayment - GROUP BY invoicedate -) s ON l.invoicedate = s.invoicedate -WHERE s.total_invoicenumber <= 4902805164.55; -``` - -This query will return all the invoicedate where the sum of invoicenumber is at most 4902805164.55.",1.5283925533,llama-8,284,1.0654115380775002,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) >= 1.43,List the paperlessdate which average of dayslate is at least 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.92e-05,"SELECT paperlessdate -FROM latePayment -WHERE dayslate >= (SELECT AVG(dayslate) FROM latePayment) * 1.43;","```sql -SELECT paperlessdate -FROM latePayment -WHERE dayslate >= 1.43; -``` - -This SQL query will return the `paperlessdate` for all rows in the `latePayment` table where the `dayslate` is greater than or equal to 1.43. - -However, since `dayslate` is an integer column, it cannot be compared to a decimal value like 1.43. If you want to find the average of `dayslate` that is at least 1.43, you should first calculate the average and then filter the results. - -Here's how you can do it: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE dayslate >= (SELECT AVG(dayslate) FROM latePayment) * 1.43; -``` - -This query will return the `paperlessdate` for all rows in the `latePayment` table where the `dayslate` is greater than or equal to 1.43 times the average of `dayslate`.",0.672098875,llama-8,285,0.0,1.0,1.0,0.0,0.667,0.5,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) <= 1.43,List the paperlessdate which average of dayslate is at most 1.43 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.64e-05,"SELECT paperlessdate -FROM latePayment -WHERE dayslate <= 1.43 * 100;","```sql -SELECT paperlessdate -FROM latePayment -WHERE dayslate <= 1.43 * 100; -``` - -Explanation: - -- The `SELECT` statement is used to fetch the data from the database. -- `paperlessdate` is the column we want to retrieve. -- `FROM latePayment` specifies the table from which we want to retrieve the data. -- `WHERE dayslate <= 1.43 * 100` filters the data to include only the rows where the `dayslate` is less than or equal to 1.43 times 100 (since `dayslate` is an integer and we want to compare it with a decimal value). - -Note: The `dayslate` column is an integer, so we multiply 1.43 by 100 to get an integer value that is greater than or equal to the average of dayslate. This is because SQL does not support direct comparison of decimal values with integer values.",0.8723692894,llama-8,286,0.0,0.882,1.0,0.0,0.75,0.933,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) >= 3.47,List the paperlessdate which summation of dayslate is at least 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.24e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47;","```sql -SELECT paperlessdate -FROM latePayment -WHERE dayslate >= 3.47; -``` - -However, the `dayslate` column is defined as an INTEGER in the database schema, which means it cannot store decimal values. Therefore, the condition `dayslate >= 3.47` will not work as expected. - -If you want to compare the sum of `dayslate` with a decimal value, you should first calculate the sum of `dayslate` for each row and then compare it with the desired value. But since you want to list the `paperlessdate` where the sum of `dayslate` is at least 3.47, you should use a GROUP BY clause and a HAVING clause. - -Here's the corrected SQL code: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) >= 3.47; -``` - -This SQL code will return the `paperlessdate` where the sum of `dayslate` is at least 3.47 for each group of `paperlessdate`.",0.7838122845,llama-8,287,1.0067085783794152,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) <= 3.47,List the paperlessdate which summation of dayslate is at most 3.47 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001098,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47;","```sql -SELECT paperlessdate -FROM latePayment -WHERE dayslate <= 3.47; -``` - -This SQL query will return all the `paperlessdate` values from the `latePayment` table where the `dayslate` value is less than or equal to 3.47. - -Note: The `dayslate` column is of type `INTEGER`, which means it can't store decimal values. Therefore, the comparison `dayslate <= 3.47` will always be `FALSE` because `3.47` is a decimal value. If you want to compare the sum of `dayslate` with a decimal value, you should first calculate the sum and then compare it. However, based on the given database schema, it seems like you want to compare individual `dayslate` values, not their sum. - -If you want to compare the sum of `dayslate` with a decimal value, you should first calculate the sum and then compare it. Here's how you can do it: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE SUM(dayslate) <= 3.47; -``` - -However, this query will not work as expected because the `SUM` function is not allowed in the `WHERE` clause. It should be used in the `SELECT` or `HAVING` clause. Here's the correct query: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(dayslate) <= 3.47; -```",0.9111721516,llama-8,288,0.9800740391979447,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) >= 4611214877.81,List the paperlessdate which average of invoicenumber is at least 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.18e-05,"SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81;","```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING AVG(invoicenumber) >= 4611214877.81; -``` - -This SQL query will return the `paperlessdate` values from the `latePayment` table where the average of `invoicenumber` is at least 4611214877.81. The `GROUP BY` clause groups the rows by `paperlessdate`, and the `HAVING` clause filters the groups based on the average of `invoicenumber`.",0.5406656265,llama-8,289,1.0134573139665488,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-AVG,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) <= 4611214877.81,List the paperlessdate which average of invoicenumber is at most 4611214877.81 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0001126,"SELECT paperlessdate -FROM latePayment -WHERE invoicenumber <= (SELECT AVG(invoicenumber) FROM latePayment);","```sql -SELECT paperlessdate -FROM latePayment -WHERE AVG(invoicenumber) <= 4611214877.81; -``` - -However, the above SQL query will not work as expected because the AVG function in SQL is an aggregate function that calculates the average value for a group of rows. In this case, it will calculate the average invoicenumber for each row, which is not what we want. - -To get the average invoicenumber for all rows and then filter the results, we can use a subquery or a CTE (Common Table Expression). Here's how you can do it: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber <= (SELECT AVG(invoicenumber) FROM latePayment) * 1.0000000001; -``` - -This query will return all paperlessdate where the invoicenumber is less than or equal to the average invoicenumber multiplied by 1.0000000001. This is because the average invoicenumber might be a very large number and we don't want to include it in the results. - -However, if you want to get the average invoicenumber and then filter the results, you can use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber <= (SELECT AVG(invoicenumber) FROM latePayment); -``` - -This query will return all paperlessdate where the invoicenumber is less than or equal to the average invoicenumber.",2.0602259636,llama-8,290,0.0,0.9,1.0,0.0,0.9,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) >= 5768006075.94,List the paperlessdate which summation of invoicenumber is at least 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",9.64e-05,"SELECT paperlessdate, SUM(invoiceamount) as total_invoice_amount -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoiceamount) >= 5768006075.94;","```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber >= 5768006075.94 -GROUP BY paperlessdate -HAVING SUM(invoicenumber) >= 5768006075.94; -``` - -However, the above query will not work as expected because the `invoicenumber` is an integer and you cannot sum integers to get a decimal value. - -If you want to sum the `invoiceamount` instead, you should use the following query: - -```sql -SELECT paperlessdate -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoiceamount) >= 5768006075.94; -``` - -This query will return all `paperlessdate` where the sum of `invoiceamount` is at least 5768006075.94. - -If you want to get the exact sum for each `paperlessdate`, you can use the following query: - -```sql -SELECT paperlessdate, SUM(invoiceamount) as total_invoice_amount -FROM latePayment -GROUP BY paperlessdate -HAVING SUM(invoiceamount) >= 5768006075.94; -```",1.1149754524,llama-8,291,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,HAVING,HAVING-AGG-SUM,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) <= 5768006075.94,List the paperlessdate which summation of invoicenumber is at most 5768006075.94 in table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",0.0004582,"SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -);","```sql -SELECT paperlessdate -FROM latePayment -WHERE SUM(invoicenumber) <= 5768006075.94; -``` - -However, the above SQL query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the summation of invoicenumber is at most 5768006075.94, you should use a subquery or a window function. Here's an example using a subquery: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -This query will return all paperlessdate for which the invoicenumber is part of the group that has a total invoicenumber at most 5768006075.94. - -However, if you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP BY invoicenumber - HAVING SUM(invoicenumber) <= 5768006075.94 -); -``` - -But this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. - -If you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this: - -```sql -SELECT paperlessdate -FROM latePayment -WHERE invoicenumber IN ( - SELECT invoicenumber - FROM latePayment - GROUP",4.5135598183,llama-8,292,0.0,0.909,1.0,0.0,0.909,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `housingstatus`) = (SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`),What are the hasothercards with all the housingstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.54e-05,"SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud);","```sql -SELECT hasothercards -FROM accountFraud -GROUP BY hasothercards -HAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud); -``` - -This SQL query will return all the unique `hasothercards` values from the `accountFraud` table where each `hasothercards` value has all the possible `housingstatus` values. - -Here's how it works: - -1. `GROUP BY hasothercards` groups the rows by the `hasothercards` column. -2. `HAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud)` filters the groups to only include those where the count of distinct `housingstatus` values is equal to the total count of distinct `housingstatus` values in the table. This means that each `hasothercards` value has all the possible `housingstatus` values.",1.2598266602,llama-8,293,1.0015456336963326,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the hasothercards with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",8.2e-05,"SELECT af1.hasothercards -FROM accountFraud af1 -JOIN (SELECT DISTINCT paymenttype FROM accountFraud) af2 -ON af1.paymenttype = af2.paymenttype;","```sql -SELECT hasothercards -FROM accountFraud -WHERE paymenttype IN (SELECT paymenttype FROM accountFraud); -``` - -This SQL query will return all the `hasothercards` values from the `accountFraud` table where the `paymenttype` is present in the `paymenttype` column of the same table. - -However, if you want to fetch all unique `paymenttype` values first and then fetch the corresponding `hasothercards` values, you can use the following query: - -```sql -SELECT af1.hasothercards -FROM accountFraud af1 -JOIN (SELECT DISTINCT paymenttype FROM accountFraud) af2 -ON af1.paymenttype = af2.paymenttype; -``` - -This query will return all the `hasothercards` values from the `accountFraud` table where the `paymenttype` is unique.",0.6087756157,llama-8,294,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `employmentstatus`) = (SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`),What are the hasothercards with all the employmentstatus in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.72e-05,"SELECT hasothercards -FROM accountFraud -WHERE employmentstatus IS NOT NULL;","```sql -SELECT hasothercards -FROM accountFraud -WHERE employmentstatus IS NOT NULL; -``` - -This SQL query will return all the `hasothercards` values from the `accountFraud` table where the `employmentstatus` is not null.",0.511143446,llama-8,295,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `deviceos`) = (SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`),What are the hasothercards with all the deviceos in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.72e-05,"SELECT hasothercards -FROM accountFraud -WHERE deviceos IS NOT NULL;","```sql -SELECT hasothercards -FROM accountFraud -WHERE deviceos IS NOT NULL; -``` - -This SQL query will return all the `hasothercards` values from the `accountFraud` table where the `deviceos` is not null.",0.3432395458,llama-8,296,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the hasothercards with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.82e-05,"SELECT hasothercards -FROM accountFraud -WHERE emailisfree = 'true';","```sql -SELECT hasothercards -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This SQL query will return all the `hasothercards` values from the `accountFraud` table where `emailisfree` is equal to `'true'`.",0.3954775333,llama-8,297,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`),What are the housingstatus with all the paymenttype in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.46e-05,"SELECT housingstatus, paymenttype -FROM accountFraud -GROUP BY housingstatus, paymenttype;","```sql -SELECT housingstatus -FROM accountFraud -GROUP BY housingstatus; -``` - -However, if you want to include all the payment types for each housing status, you can use the following SQL query: - -```sql -SELECT housingstatus, paymenttype -FROM accountFraud -GROUP BY housingstatus, paymenttype; -``` - -This query will return all the unique combinations of housing status and payment type in the `accountFraud` table.",0.495745182,llama-8,298,0.0,0.222,1.0,0.0,0.154,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the housingstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.66e-05,"SELECT housingstatus -FROM accountFraud -WHERE emailisfree = '1';","```sql -SELECT housingstatus -FROM accountFraud -WHERE emailisfree = '1'; -``` - -This SQL query will return all the housingstatus values from the accountFraud table where the emailisfree field is equal to '1'.",0.4839150906,llama-8,299,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the paymenttype with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.64e-05,"SELECT paymenttype -FROM accountFraud -WHERE emailisfree = 'yes';","```sql -SELECT paymenttype -FROM accountFraud -WHERE emailisfree = 'yes'; -``` - -This SQL query will return all the payment types from the `accountFraud` table where `emailisfree` is 'yes'.",0.4650626183,llama-8,300,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `employmentstatus` FROM `accountFraud` GROUP BY `employmentstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the employmentstatus with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true';","```sql -SELECT employmentstatus -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This SQL query will return the employment status of all rows in the `accountFraud` table where `emailisfree` is 'true'.",0.3607969284,llama-8,301,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,many-to-many-generator,many-to-many,SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`),What are the deviceos with all the emailisfree in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.6e-05,"SELECT deviceos -FROM accountFraud -WHERE emailisfree = 'true';","```sql -SELECT deviceos -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This SQL query will return all the deviceos from the accountFraud table where the emailisfree field is 'true'.",0.4710083008,llama-8,302,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the customerid with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.58e-05,"SELECT customerid -FROM latePayment -WHERE disputed = 'true';","```sql -SELECT customerid -FROM latePayment -WHERE disputed = 'true'; -``` - -This SQL query will return all the customer IDs from the `latePayment` table where the `disputed` column is equal to `'true'`.",0.4603500366,llama-8,303,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the customerid with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT customerid -FROM latePayment -WHERE paperlessbill = 'true';","```sql -SELECT customerid -FROM latePayment -WHERE paperlessbill = 'true'; -``` - -This SQL query will return all the customer IDs from the `latePayment` table where the `paperlessbill` column is set to `'true'`.",0.4069623947,llama-8,304,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`),What are the paperlessdate with all the disputed in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.66e-05,"SELECT paperlessdate -FROM latePayment -WHERE disputed = 'true';","```sql -SELECT paperlessdate -FROM latePayment -WHERE disputed = 'true'; -``` - -This SQL query will fetch the `paperlessdate` from the `latePayment` table where the `disputed` field is equal to `'true'`.",0.502676487,llama-8,305,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the paperlessdate with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.76e-05,"SELECT paperlessdate -FROM latePayment -WHERE paperlessbill = 'all';","```sql -SELECT paperlessdate -FROM latePayment -WHERE paperlessbill = 'all'; -``` - -This SQL query will return all the `paperlessdate` values from the `latePayment` table where `paperlessbill` is equal to `'all'`.",0.4083461761,llama-8,306,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,many-to-many-generator,many-to-many,SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`),What are the disputed with all the paperlessbill in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.7e-05,"SELECT - lp.disputed, - lp.paperlessbill -FROM - latePayment lp -WHERE - lp.disputed = 'true' AND lp.paperlessbill = 'true';","```sql -SELECT - lp.disputed, - lp.paperlessbill -FROM - latePayment lp -WHERE - lp.disputed = 'true' AND lp.paperlessbill = 'true'; -``` - -This SQL query will fetch all the rows from the `latePayment` table where the `disputed` field is 'true' and the `paperlessbill` field is 'true'. The result will include the `disputed` and `paperlessbill` fields for each matching row.",0.5503695011,llama-8,307,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` ASC,Show all data ordered by deviceos in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.6e-05,"SELECT * -FROM accountFraud -ORDER BY deviceos ASC;","```sql -SELECT * -FROM accountFraud -ORDER BY deviceos ASC; -``` - -This SQL query will fetch all data from the `accountFraud` table and order it by the `deviceos` column in ascending order.",0.3333601952,llama-8,308,0.99753082559893,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `deviceos` DESC,Show all data ordered by deviceos in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.62e-05,"SELECT * -FROM accountFraud -ORDER BY deviceos DESC;","```sql -SELECT * -FROM accountFraud -ORDER BY deviceos DESC; -``` - -This SQL query will fetch all data from the `accountFraud` table and order it in descending order based on the `deviceos` column.",0.3607206345,llama-8,309,1.0795313193438325,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` ASC,Show all data ordered by dateofbirthdistinctemails4w in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.9e-05,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC;","```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w ASC; -``` - -This SQL query will fetch all data from the `accountFraud` table and order it by the `dateofbirthdistinctemails4w` column in ascending order.",0.4187855721,llama-8,310,1.0524569180429657,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` DESC,Show all data ordered by dateofbirthdistinctemails4w in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.88e-05,"SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC;","```sql -SELECT * -FROM accountFraud -ORDER BY dateofbirthdistinctemails4w DESC; -``` - -This SQL query will fetch all data from the `accountFraud` table, ordered by the `dateofbirthdistinctemails4w` column in descending order.",0.5119318962,llama-8,311,1.0073500594066591,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` ASC,Project the creditriskscore ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC;","```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore ASC; -``` - -This SQL query will return the `creditriskscore` column from the `accountFraud` table, ordered in ascending order.",0.3526659012,llama-8,312,1.0326452949507925,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` DESC,Project the creditriskscore ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.76e-05,"SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC;","```sql -SELECT creditriskscore -FROM accountFraud -ORDER BY creditriskscore DESC; -``` - -This SQL query will return the `creditriskscore` column from the `accountFraud` table, ordered in descending order (highest score first).",0.4255099297,llama-8,313,0.9994319371344446,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` ASC,Project the sessionlengthminutes ordered in ascending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.6e-05,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC;","```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes ASC; -``` - -This SQL query will fetch the `sessionlengthminutes` values from the `accountFraud` table, ordered in ascending order.",0.4096903801,llama-8,314,0.9965006627925707,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,ORDERBY,ORDERBY-PROJECT,SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` DESC,Project the sessionlengthminutes ordered in descending order for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.56e-05,"SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC;","```sql -SELECT sessionlengthminutes -FROM accountFraud -ORDER BY sessionlengthminutes DESC; -``` - -This SQL query will return the `sessionlengthminutes` values from the `accountFraud` table in descending order.",0.3750722408,llama-8,315,0.879289202051254,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` ASC,Show all data ordered by invoicenumber in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT * -FROM latePayment -ORDER BY invoicenumber ASC;","```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber ASC; -``` - -This SQL query will fetch all data from the `latePayment` table and order it by the `invoicenumber` column in ascending order.",0.4013981819,llama-8,316,1.107400167175415,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoicenumber` DESC,Show all data ordered by invoicenumber in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.54e-05,"SELECT * -FROM latePayment -ORDER BY invoicenumber DESC;","```sql -SELECT * -FROM latePayment -ORDER BY invoicenumber DESC; -``` - -This SQL query will fetch all data from the `latePayment` table and order it by the `invoicenumber` column in descending order. The `SELECT *` statement retrieves all columns from the table, and the `ORDER BY invoicenumber DESC` statement sorts the results in descending order based on the `invoicenumber` column.",0.3815302849,llama-8,317,1.0210528388427003,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` ASC,Show all data ordered by invoiceamount in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.54e-05,"SELECT * -FROM latePayment -ORDER BY invoiceamount ASC;","```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount ASC; -``` - -This SQL code will fetch all data from the `latePayment` table and order it by the `invoiceamount` column in ascending order.",0.3941497803,llama-8,318,0.9992924485697192,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `latePayment` ORDER BY `invoiceamount` DESC,Show all data ordered by invoiceamount in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.78e-05,"SELECT * -FROM latePayment -ORDER BY invoiceamount DESC;","```sql -SELECT * -FROM latePayment -ORDER BY invoiceamount DESC; -``` - -This SQL query will fetch all data from the `latePayment` table and order it by the `invoiceamount` column in descending order. The `DESC` keyword is used to specify descending order.",0.380490303,llama-8,319,1.0000471038131864,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` ASC,Project the daystosettle ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.62e-05,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC;","```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle ASC; -``` - -This SQL query will fetch the `daystosettle` column from the `latePayment` table, ordered in ascending order.",0.3582937717,llama-8,320,0.9933419621921298,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` DESC,Project the daystosettle ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.88e-05,"SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC;","```sql -SELECT daystosettle -FROM latePayment -ORDER BY daystosettle DESC; -``` - -This SQL query will return the `daystosettle` column from the `latePayment` table, ordered in descending order. The `DESC` keyword is used to specify the descending order.",0.4539749622,llama-8,321,1.0404160403461802,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` ASC,Project the disputed ordered in ascending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.1e-05,"SELECT customerid, invoicenumber, invoicedate, duedate, invoiceamount, disputed -FROM latePayment -ORDER BY disputed ASC;","```sql -SELECT disputed -FROM latePayment -ORDER BY disputed ASC; -``` - -This SQL query will return all the disputed values from the `latePayment` table in ascending order. - -However, if you want to project the disputed ordered in ascending order along with other columns, you can use the following query: - -```sql -SELECT customerid, invoicenumber, invoicedate, duedate, invoiceamount, disputed -FROM latePayment -ORDER BY disputed ASC; -``` - -This query will return all the columns from the `latePayment` table, ordered by the `disputed` column in ascending order.",0.6058657169,llama-8,322,0.0,0.02,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,ORDERBY,ORDERBY-PROJECT,SELECT `disputed` FROM `latePayment` ORDER BY `disputed` DESC,Project the disputed ordered in descending order for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.6e-05,"SELECT disputed -FROM latePayment -WHERE disputed = 'true' -ORDER BY disputed DESC;","```sql -SELECT disputed -FROM latePayment -ORDER BY disputed DESC; -``` - -This SQL query will return the 'disputed' column from the 'latePayment' table in descending order. If you want to project only the disputed ones, you can add a WHERE clause: - -```sql -SELECT disputed -FROM latePayment -WHERE disputed = 'true' -ORDER BY disputed DESC; -``` - -This query will return only the rows where 'disputed' is 'true', ordered in descending order.",0.6576166153,llama-8,323,0.0,0.0,0.0,0.0,0.0,0.0,0.0, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.58e-05,"SELECT * -FROM accountFraud -WHERE emailisfree = 'true';","```sql -SELECT * -FROM accountFraud -WHERE emailisfree = 'true'; -``` - -This SQL query will fetch all rows from the `accountFraud` table where the `emailisfree` column is equal to `'true'`.",0.3372936249,llama-8,324,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `employmentstatus` FROM `accountFraud`,Show all employmentstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.48e-05,"SELECT DISTINCT employmentstatus -FROM accountFraud;","```sql -SELECT DISTINCT employmentstatus -FROM accountFraud; -``` - -This SQL code will fetch all unique employment statuses from the `accountFraud` table. The `DISTINCT` keyword is used to return only unique values.",0.3750882149,llama-8,325,0.0,1.0,1.0,0.0,0.25,0.2,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `deviceos` FROM `accountFraud`,Show all deviceos in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.32e-05,"SELECT deviceos -FROM accountFraud;","```sql -SELECT deviceos -FROM accountFraud; -``` - -This SQL query will fetch all the unique values in the 'deviceos' column from the 'accountFraud' table.",0.3336148262,llama-8,326,1.0323186619898268,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `sessionlengthminutes` FROM `accountFraud`,Show all sessionlengthminutes in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.28e-05,"SELECT sessionlengthminutes -FROM accountFraud;","```sql -SELECT sessionlengthminutes -FROM accountFraud; -``` - -This SQL code will fetch all the `sessionlengthminutes` from the `accountFraud` table.",0.3812716007,llama-8,327,1.0158801804614719,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-SINGLE-COL,SELECT `housingstatus` FROM `accountFraud`,Show all housingstatus in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.48e-05,"SELECT DISTINCT housingstatus -FROM accountFraud;","```sql -SELECT DISTINCT housingstatus -FROM accountFraud; -``` - -This SQL code will fetch all unique housing statuses from the `accountFraud` table. The `DISTINCT` keyword is used to return only unique values.",0.4313662052,llama-8,328,0.0,1.0,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-ALL,SELECT * FROM `accountFraud`,Show all the rows in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.48e-05,"SELECT hasothercards, housingstatus, dateofbirthdistinctemails4w -FROM accountFraud;","```sql -SELECT * -FROM accountFraud; -``` - -This SQL query will return all rows from the `accountFraud` table. - -Note: The `SELECT *` statement is used to select all columns from a table. If you want to select specific columns, you can replace `*` with the column names separated by commas. For example: - -```sql -SELECT hasothercards, housingstatus, dateofbirthdistinctemails4w -FROM accountFraud; -```",0.5425345898,llama-8,329,0.0,1.0,0.235,0.0,1.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,SELECT `emailisfree` FROM `accountFraud`,Show all emailisfree in the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.36e-05,"SELECT emailisfree -FROM accountFraud;","```sql -SELECT emailisfree -FROM accountFraud; -``` - -This SQL query will fetch all the values in the `emailisfree` column from the `accountFraud` table.",0.4280595779,llama-8,330,1.002967500863322,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `housingstatus` FROM `accountFraud`","Show all income, housingstatus in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.48e-05,"SELECT income, housingstatus -FROM accountFraud;","```sql -SELECT income, housingstatus -FROM accountFraud; -``` - -This SQL query will fetch all the rows from the `accountFraud` table and return the `income` and `housingstatus` columns.",0.7533969879,llama-8,331,1.0130222156765532,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `deviceos`, `creditriskscore` FROM `accountFraud`","Show all hasothercards, deviceos, creditriskscore in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.04e-05,"SELECT - hasothercards, - deviceos, - creditriskscore -FROM - accountFraud;","```sql -SELECT - hasothercards, - deviceos, - creditriskscore -FROM - accountFraud; -``` - -This SQL query will fetch all the rows from the `accountFraud` table and return the `hasothercards`, `deviceos`, and `creditriskscore` columns.",0.3754341602,llama-8,332,1.0353549295711182,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype` FROM `accountFraud`","Show all housingstatus, creditriskscore, sessionlengthminutes, paymenttype in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.24e-05,"SELECT - housingstatus, - creditriskscore, - sessionlengthminutes, - paymenttype -FROM - accountFraud;","```sql -SELECT - housingstatus, - creditriskscore, - sessionlengthminutes, - paymenttype -FROM - accountFraud; -``` - -This SQL code will fetch all the specified columns (`housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype`) from the `accountFraud` table in the database.",0.5461137295,llama-8,333,1.0088486595160209,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes` FROM `accountFraud`","Show all dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.58e-05,"SELECT - dateofbirthdistinctemails4w, - income, - deviceos, - hasothercards, - sessionlengthminutes -FROM - accountFraud;","```sql -SELECT - dateofbirthdistinctemails4w, - income, - deviceos, - hasothercards, - sessionlengthminutes -FROM - accountFraud; -``` - -This SQL query will fetch all the specified columns (`dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes`) from the `accountFraud` table.",0.4270708561,llama-8,334,1.0576741807305707,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `hasothercards`, `emailisfree`, `employmentstatus`, `dateofbirthdistinctemails4w`, `sessionlengthminutes`, `income` FROM `accountFraud`","Show all hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.24e-05,"SELECT - hasothercards, - emailisfree, - employmentstatus, - dateofbirthdistinctemails4w, - sessionlengthminutes, - income -FROM - accountFraud;","```sql -SELECT - hasothercards, - emailisfree, - employmentstatus, - dateofbirthdistinctemails4w, - sessionlengthminutes, - income -FROM - accountFraud; -``` - -This SQL query will fetch all the specified columns from the `accountFraud` table.",0.4109289646,llama-8,335,0.998857382692844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, `income` FROM `accountFraud`","Show all creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.22e-05,"SELECT - creditriskscore, - deviceos, - hasothercards, - paymenttype, - emailisfree, - housingstatus, - income -FROM - accountFraud;","```sql -SELECT - creditriskscore, - deviceos, - hasothercards, - paymenttype, - emailisfree, - housingstatus, - income -FROM - accountFraud; -``` - -This SQL query will fetch all the specified columns from the `accountFraud` table.",0.4408640862,llama-8,336,1.030011099747492,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `creditriskscore`, `sessionlengthminutes`, `emailisfree`, `deviceos`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `hasothercards` FROM `accountFraud`","Show all creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.64e-05,"SELECT - creditriskscore, - sessionlengthminutes, - emailisfree, - deviceos, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - hasothercards -FROM - accountFraud;","```sql -SELECT - creditriskscore, - sessionlengthminutes, - emailisfree, - deviceos, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - hasothercards -FROM - accountFraud; -``` - -This SQL query will fetch all the specified columns from the `accountFraud` table.",0.563792944,llama-8,337,1.003533317237831,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,PROJECT,SELECT-RANDOM-COL,"SELECT `housingstatus`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `creditriskscore`, `deviceos`, `emailisfree`, `income`, `sessionlengthminutes` FROM `accountFraud`","Show all housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes in the table accountFraud","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.7e-05,"SELECT - housingstatus, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - creditriskscore, - deviceos, - emailisfree, - income, - sessionlengthminutes -FROM - accountFraud;","```sql -SELECT - housingstatus, - paymenttype, - dateofbirthdistinctemails4w, - employmentstatus, - creditriskscore, - deviceos, - emailisfree, - income, - sessionlengthminutes -FROM - accountFraud; -``` - -This SQL query will fetch all the specified columns from the `accountFraud` table.",0.3995964527,llama-8,338,0.9994177784785595,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessbill` FROM `latePayment`,Show all paperlessbill in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.5e-05,"SELECT * -FROM latePayment -WHERE paperlessbill = 'true';","```sql -SELECT * -FROM latePayment -WHERE paperlessbill = 'true'; -``` - -This SQL query will fetch all rows from the `latePayment` table where the `paperlessbill` column is equal to `'true'`.",0.404654026,llama-8,339,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `invoiceamount` FROM `latePayment`,Show all invoiceamount in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.18e-05,"SELECT invoiceamount -FROM latePayment;","```sql -SELECT invoiceamount -FROM latePayment; -``` - -This SQL query will fetch all the `invoiceamount` values from the `latePayment` table.",0.319965601,llama-8,340,1.0413760566031227,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `paperlessdate` FROM `latePayment`,Show all paperlessdate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.24e-05,"SELECT paperlessdate -FROM latePayment;","```sql -SELECT paperlessdate -FROM latePayment; -``` - -This SQL query will fetch all the `paperlessdate` values from the `latePayment` table.",0.3422896862,llama-8,341,1.0005475587028567,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `duedate` FROM `latePayment`,Show all duedate in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.22e-05,"SELECT duedate -FROM latePayment;","```sql -SELECT duedate -FROM latePayment; -``` - -This SQL query will fetch all the 'duedate' values from the 'latePayment' table.",0.4017415047,llama-8,342,0.9953253714623206,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-SINGLE-COL,SELECT `daystosettle` FROM `latePayment`,Show all daystosettle in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.3e-05,"SELECT daystosettle -FROM latePayment;","```sql -SELECT daystosettle -FROM latePayment; -``` - -This SQL query will fetch all the `daystosettle` values from the `latePayment` table.",0.3054659367,llama-8,343,1.0433782076752884,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-ALL,SELECT * FROM `latePayment`,Show all the rows in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.04e-05,"SELECT * -FROM latePayment;","```sql -SELECT * -FROM latePayment; -``` - -This SQL query will return all rows from the `latePayment` table.",0.3440403938,llama-8,344,1.002147404356809,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,SELECT `disputed` FROM `latePayment`,Show all disputed in the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,"SELECT * -FROM latePayment -WHERE disputed = 'true';","```sql -SELECT * -FROM latePayment -WHERE disputed = 'true'; -``` - -This SQL query will fetch all rows from the `latePayment` table where the `disputed` column is equal to `'true'`.",0.3947637081,llama-8,345,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `duedate`, `customerid` FROM `latePayment`","Show all duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.42e-05,"SELECT duedate, customerid -FROM latePayment;","```sql -SELECT duedate, customerid -FROM latePayment; -``` - -This SQL code will fetch all the `duedate` and `customerid` from the `latePayment` table.",0.3011770248,llama-8,346,1.0085127788997725,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `duedate`, `customerid` FROM `latePayment`","Show all paperlessdate, duedate, customerid in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.8e-05,"SELECT - paperlessdate, - duedate, - customerid -FROM - latePayment;","```sql -SELECT - paperlessdate, - duedate, - customerid -FROM - latePayment; -``` - -This SQL query will fetch all the `paperlessdate`, `duedate`, and `customerid` from the `latePayment` table.",0.4366219044,llama-8,347,0.9950327380582855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `paperlessdate`, `invoicedate`, `duedate` FROM `latePayment`","Show all daystosettle, paperlessdate, invoicedate, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.22e-05,"SELECT - daystosettle, - paperlessdate, - invoicedate, - duedate -FROM - latePayment;","```sql -SELECT - daystosettle, - paperlessdate, - invoicedate, - duedate -FROM - latePayment; -``` - -This SQL query will fetch all the `daystosettle`, `paperlessdate`, `invoicedate`, and `duedate` from the `latePayment` table.",0.4408886433,llama-8,348,0.9878727306239493,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `invoicedate`, `dayslate`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, invoicedate, dayslate, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.02e-05,"SELECT - paperlessdate, - invoicedate, - dayslate, - invoicenumber, - duedate -FROM - latePayment;","```sql -SELECT - paperlessdate, - invoicedate, - dayslate, - invoicenumber, - duedate -FROM - latePayment; -``` - -This SQL code will fetch all the specified columns from the `latePayment` table in the database.",0.478659153,llama-8,349,0.9992760414013853,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `invoiceamount`, `daystosettle`, `disputed`, `paperlessdate`, `duedate`, `invoicenumber` FROM `latePayment`","Show all invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.16e-05,"SELECT - invoiceamount, - daystosettle, - disputed, - paperlessdate, - duedate, - invoicenumber -FROM - latePayment;","```sql -SELECT - invoiceamount, - daystosettle, - disputed, - paperlessdate, - duedate, - invoicenumber -FROM - latePayment; -``` - -This SQL query will fetch all the specified columns from the `latePayment` table in the database.",0.4902684689,llama-8,350,1.0477878568289074,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed` FROM `latePayment`","Show all customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.8e-05,"SELECT - customerid, - invoiceamount, - duedate, - dayslate, - daystosettle, - invoicedate, - disputed -FROM - latePayment;","```sql -SELECT - customerid, - invoiceamount, - duedate, - dayslate, - daystosettle, - invoicedate, - disputed -FROM - latePayment; -``` - -This SQL query will fetch all the required columns (`customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed`) from the `latePayment` table.",0.4716722965,llama-8,351,1.006323299007198,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `daystosettle`, `customerid`, `paperlessbill`, `paperlessdate`, `invoicedate`, `duedate`, `invoicenumber`, `disputed` FROM `latePayment`","Show all daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.52e-05,"SELECT - daystosettle, - customerid, - paperlessbill, - paperlessdate, - invoicedate, - duedate, - invoicenumber, - disputed -FROM - latePayment;","```sql -SELECT - daystosettle, - customerid, - paperlessbill, - paperlessdate, - invoicedate, - duedate, - invoicenumber, - disputed -FROM - latePayment; -``` - -This SQL query will fetch all the specified columns from the `latePayment` table in the database.",0.379332304,llama-8,352,1.0259743513038853,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,PROJECT,SELECT-RANDOM-COL,"SELECT `paperlessdate`, `dayslate`, `daystosettle`, `invoicedate`, `customerid`, `invoiceamount`, `paperlessbill`, `invoicenumber`, `duedate` FROM `latePayment`","Show all paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate in the table latePayment","`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.32e-05,"SELECT - paperlessdate, - dayslate, - daystosettle, - invoicedate, - customerid, - invoiceamount, - paperlessbill, - invoicenumber, - duedate -FROM - latePayment;","```sql -SELECT - paperlessdate, - dayslate, - daystosettle, - invoicedate, - customerid, - invoiceamount, - paperlessbill, - invoicenumber, - duedate -FROM - latePayment; -``` - -This SQL query will fetch all the specified columns from the `latePayment` table. The `SELECT` statement is used to specify the columns to be retrieved, and the `FROM` clause is used to specify the table from which to retrieve the data.",0.4503426552,llama-8,353,1.0058964879185468,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` == 'AC',Show the data of the table accountFraud where paymenttype is equal to AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.66e-05,"SELECT * -FROM accountFraud -WHERE paymenttype = 'AC';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype = 'AC'; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `paymenttype` is equal to `'AC'`.",0.3748271465,llama-8,354,1.0472684828122565,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AC',Show the data of the table accountFraud where paymenttype is different from AC,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.62e-05,"SELECT * -FROM accountFraud -WHERE paymenttype != 'AC';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype != 'AC'; -``` - -This SQL query will fetch all the data from the `accountFraud` table where the `paymenttype` is not equal to 'AC'.",0.3856852055,llama-8,355,1.0025310601063602,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AA',Show the data of the table accountFraud where paymenttype not equal to AA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT * -FROM accountFraud -WHERE paymenttype != 'AA';","```sql -SELECT * -FROM accountFraud -WHERE paymenttype != 'AA'; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `paymenttype` is not equal to `'AA'`.",0.4651138783,llama-8,356,1.0418145087749953,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` == 'CB',Show the data of the table accountFraud where employmentstatus is equal to CB,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.64e-05,"SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus = 'CB'; -``` - -This SQL query will return all columns (`*`) from the `accountFraud` table where the `employmentstatus` is equal to 'CB'.",0.5649363995,llama-8,357,1.0059853966907428,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus is different from CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA'; -``` - -This SQL query will return all columns (`*`) from the `accountFraud` table where the `employmentstatus` is not equal to `'CA'`.",0.3493897915,llama-8,358,1.0255800023544603,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA',Show the data of the table accountFraud where employmentstatus not equal to CA,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA';","```sql -SELECT * -FROM accountFraud -WHERE employmentstatus != 'CA'; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `employmentstatus` is not equal to `'CA'`.",0.4442641735,llama-8,359,0.9992928891065646,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` == 'windows',Show the data of the table accountFraud where deviceos is equal to windows,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.68e-05,"SELECT * -FROM accountFraud -WHERE deviceos = 'windows';","```sql -SELECT * -FROM accountFraud -WHERE deviceos = 'windows'; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `deviceos` column is equal to `'windows'`.",0.4672842026,llama-8,360,1.031987813227366,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos is different from other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.02e-05,"SELECT * -FROM accountFraud -WHERE deviceos != (SELECT deviceos - FROM accountFraud - GROUP BY deviceos - HAVING COUNT(deviceos) > 1);","```sql -SELECT * -FROM accountFraud -WHERE deviceos != (SELECT deviceos - FROM accountFraud - GROUP BY deviceos - HAVING COUNT(deviceos) > 1); -``` - -This SQL query will return all rows from the `accountFraud` table where the `deviceos` is different from other rows. The subquery groups the `deviceos` values and selects those that appear only once, i.e., are not duplicated. The outer query then selects all rows where the `deviceos` does not match any of these unique values.",0.6211876869,llama-8,361,0.0,0.606,0.811,0.0,0.625,0.6,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-CAT,SELECT * FROM `accountFraud` WHERE `deviceos` != 'other',Show the data of the table accountFraud where deviceos not equal to other,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.42e-05,"SELECT * -FROM accountFraud -WHERE deviceos != (SELECT deviceos FROM accountFraud GROUP BY deviceos HAVING COUNT(deviceos) > 1);","```sql -SELECT * -FROM accountFraud -WHERE deviceos != (SELECT deviceos FROM accountFraud GROUP BY deviceos HAVING COUNT(deviceos) > 1); -``` - -This SQL query will return all rows from the `accountFraud` table where the `deviceos` is not equal to any other `deviceos` in the table. The subquery `(SELECT deviceos FROM accountFraud GROUP BY deviceos HAVING COUNT(deviceos) > 1)` groups the `deviceos` by their count and selects only the ones that appear more than once. The outer query then selects all rows where the `deviceos` does not match any of these.",1.1468601227,llama-8,362,0.0,0.606,0.811,0.0,0.625,0.6,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `income` < 0.4,Show the data of the table accountFraud where income is less than 0.4,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.72e-05,"SELECT * -FROM accountFraud -WHERE income < 0.4;","```sql -SELECT * -FROM accountFraud -WHERE income < 0.4; -``` - -This SQL query will return all columns (`*`) from the `accountFraud` table where the `income` is less than 0.4.",0.4845495224,llama-8,363,1.0078558650028162,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` > 3.749706225590873,Show the data of the table accountFraud where sessionlengthminutes is greater than 3.749706225590873,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.08e-05,"SELECT * -FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873;","```sql -SELECT * -FROM accountFraud -WHERE sessionlengthminutes > 3.749706225590873; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `sessionlengthminutes` is greater than 3.749706225590873.",0.4187970161,llama-8,364,1.0341997224806234,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` < 4.886676763177824,Show the data of the table accountFraud where sessionlengthminutes is less than 4.886676763177824,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.08e-05,"SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824;","```sql -SELECT * -FROM accountFraud -WHERE sessionlengthminutes < 4.886676763177824; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `sessionlengthminutes` is less than 4.886676763177824.",0.367177248,llama-8,365,1.0181818647898762,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` > 108,Show the data of the table accountFraud where creditriskscore is greater than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.78e-05,"SELECT * -FROM accountFraud -WHERE creditriskscore > 108;","```sql -SELECT * -FROM accountFraud -WHERE creditriskscore > 108; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `creditriskscore` is greater than 108.",0.3212883472,llama-8,366,1.0319151969219202,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SELECT,WHERE-NUM,SELECT * FROM `accountFraud` WHERE `creditriskscore` < 108,Show the data of the table accountFraud where creditriskscore is less than 108,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.78e-05,"SELECT * -FROM accountFraud -WHERE creditriskscore < 108;","```sql -SELECT * -FROM accountFraud -WHERE creditriskscore < 108; -``` - -This SQL query will fetch all columns (`*`) from the `accountFraud` table where the `creditriskscore` is less than 108.",0.3578145504,llama-8,367,1.0071554753396408,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` == 'No',Show the data of the table latePayment where disputed is equal to No,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.64e-05,"SELECT * -FROM latePayment -WHERE disputed = 'No';","```sql -SELECT * -FROM latePayment -WHERE disputed = 'No'; -``` - -This SQL query will fetch all columns (`*`) from the `latePayment` table where the value in the `disputed` column is equal to `'No'`.",0.3458535671,llama-8,368,1.047996877931662,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed is different from Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.6e-05,"SELECT * -FROM latePayment -WHERE disputed != 'Yes';","```sql -SELECT * -FROM latePayment -WHERE disputed != 'Yes'; -``` - -This SQL query will fetch all the data from the `latePayment` table where the value in the `disputed` column is not equal to 'Yes'.",0.4480130672,llama-8,369,0.9878133535759898,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `disputed` != 'Yes',Show the data of the table latePayment where disputed not equal to Yes,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.66e-05,"SELECT * -FROM latePayment -WHERE disputed != 'Yes';","```sql -SELECT * -FROM latePayment -WHERE disputed != 'Yes'; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the value in the `disputed` column is not equal to `'Yes'`.",0.4434595108,llama-8,370,1.0178390851506296,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` == '2/6/2012',Show the data of the table latePayment where paperlessdate is equal to 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",7.9e-05,"SELECT * -FROM latePayment -WHERE paperlessdate = '2012-06-02';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate = '2/6/2012'; -``` - -This SQL query will fetch all columns (`*`) from the `latePayment` table where the `paperlessdate` is equal to '2/6/2012'. - -Note: The date format in the query is 'MM/DD/YYYY', which is a common format in the United States. If your database uses a different date format (e.g., 'YYYY-MM-DD'), you may need to adjust the query accordingly. - -Also, if the date is stored as a date type in the database, you can use the following query: - -```sql -SELECT * -FROM latePayment -WHERE paperlessdate = '2012-06-02'; -```",0.8024015427,llama-8,371,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '2/6/2012',Show the data of the table latePayment where paperlessdate is different from 2/6/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.98e-05,"SELECT * -FROM latePayment -WHERE paperlessdate != '2/6/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate != '2/6/2012'; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `paperlessdate` is not equal to '2/6/2012'.",0.64204669,llama-8,372,1.04333439541601,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `paperlessdate` != '1/26/2012',Show the data of the table latePayment where paperlessdate not equal to 1/26/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.94e-05,"SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012';","```sql -SELECT * -FROM latePayment -WHERE paperlessdate != '1/26/2012'; -``` - -This SQL query will fetch all the data from the `latePayment` table where the `paperlessdate` is not equal to '1/26/2012'.",0.3381381035,llama-8,373,0.9967576065522948,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` == '4/11/2012',Show the data of the table latePayment where invoicedate is equal to 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.98e-05,"SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012';","```sql -SELECT * -FROM latePayment -WHERE invoicedate = '4/11/2012'; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `invoicedate` is equal to '4/11/2012'.",0.3257184029,llama-8,374,1.0257381214004824,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '4/11/2012',Show the data of the table latePayment where invoicedate is different from 4/11/2012,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6e-05,"SELECT * -FROM latePayment -WHERE invoicedate != '4/11/2012';","```sql -SELECT * -FROM latePayment -WHERE invoicedate != '4/11/2012'; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `invoicedate` is not equal to '4/11/2012'.",0.3563745022,llama-8,375,0.9913033005046056,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-CAT,SELECT * FROM `latePayment` WHERE `invoicedate` != '6/18/2013',Show the data of the table latePayment where invoicedate not equal to 6/18/2013,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6e-05,"SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013';","```sql -SELECT * -FROM latePayment -WHERE invoicedate != '6/18/2013'; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `invoicedate` is not equal to '6/18/2013'.",0.5451493263,llama-8,376,1.0510837023123019,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` > 0,Show the data of the table latePayment where dayslate is greater than 0,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.62e-05,"SELECT * -FROM latePayment -WHERE dayslate > 0;","```sql -SELECT * -FROM latePayment -WHERE dayslate > 0; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `dayslate` column is greater than 0.",0.5901818275,llama-8,377,0.9917819190237626,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `dayslate` < 6,Show the data of the table latePayment where dayslate is less than 6,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.6e-05,"SELECT * -FROM latePayment -WHERE dayslate < 6;","```sql -SELECT * -FROM latePayment -WHERE dayslate < 6; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `dayslate` is less than 6.",0.3424985409,llama-8,378,1.0234091546146478,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` > 84.86,Show the data of the table latePayment where invoiceamount is greater than 84.86,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.72e-05,"SELECT * -FROM latePayment -WHERE invoiceamount > 84.86;","```sql -SELECT * -FROM latePayment -WHERE invoiceamount > 84.86; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `invoiceamount` is greater than 84.86.",0.3543710709,llama-8,379,0.9986786928782554,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoiceamount` < 37.49,Show the data of the table latePayment where invoiceamount is less than 37.49,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.72e-05,"SELECT * -FROM latePayment -WHERE invoiceamount < 37.49;","```sql -SELECT * -FROM latePayment -WHERE invoiceamount < 37.49; -``` - -This SQL query will return all columns (`*`) from the `latePayment` table where the `invoiceamount` is less than 37.49.",0.3952376842,llama-8,380,1.0378556692899634,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` > 9465847338,Show the data of the table latePayment where invoicenumber is greater than 9465847338,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.92e-05,"SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338;","```sql -SELECT * -FROM latePayment -WHERE invoicenumber > 9465847338; -``` - -This SQL query will fetch all columns (`*`) from the `latePayment` table where the `invoicenumber` is greater than 9465847338.",0.3919517994,llama-8,381,1.0093091200585285,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SELECT,WHERE-NUM,SELECT * FROM `latePayment` WHERE `invoicenumber` < 6528247418,Show the data of the table latePayment where invoicenumber is less than 6528247418,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.92e-05,"SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418;","```sql -SELECT * -FROM latePayment -WHERE invoicenumber < 6528247418; -``` - -This SQL query will fetch all columns (`*`) from the `latePayment` table where the `invoicenumber` is less than 6528247418.",0.4642813206,llama-8,382,1.0050840560049399,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`,How many different employmentstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.84e-05,"SELECT COUNT(DISTINCT employmentstatus) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT employmentstatus) -FROM accountFraud; -``` - -This SQL query will return the number of different employment statuses in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `employmentstatus` column.",0.4365205765,llama-8,383,1.0439829346474643,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`,How many different housingstatus are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.84e-05,"SELECT COUNT(DISTINCT housingstatus) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT housingstatus) -FROM accountFraud; -``` - -This SQL query will return the number of different housing statuses in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `housingstatus` column.",0.3653306961,llama-8,384,1.0322713630308569,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`,How many different deviceos are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.84e-05,"SELECT COUNT(DISTINCT deviceos) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT deviceos) -FROM accountFraud; -``` - -This SQL query will return the number of different deviceos in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `deviceos` column.",0.4305562973,llama-8,385,1.0016289836184689,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hasothercards`) FROM `accountFraud`,How many different hasothercards are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.9e-05,"SELECT COUNT(DISTINCT hasothercards) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT hasothercards) -FROM accountFraud; -``` - -This SQL query will return the number of different `hasothercards` values in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.4451913834,llama-8,386,0.9949524925559242,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`,How many different emailisfree are in table accountFraud?,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.9e-05,"SELECT COUNT(DISTINCT emailisfree) -FROM accountFraud;","```sql -SELECT COUNT(DISTINCT emailisfree) -FROM accountFraud; -``` - -This SQL query will return the number of different `emailisfree` values in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.4706954956,llama-8,387,1.0009120447780024,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`creditriskscore`) FROM `accountFraud`,Find the maximum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.36e-05,"SELECT MAX(creditriskscore) -FROM accountFraud;","```sql -SELECT MAX(creditriskscore) -FROM accountFraud; -``` - -This SQL query will return the maximum credit risk score from the `accountFraud` table.",0.2830140591,llama-8,388,1.0090248646523008,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`creditriskscore`) FROM `accountFraud`,Find the minimum creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.54e-05,"SELECT MIN(creditriskscore) -FROM accountFraud;","```sql -SELECT MIN(creditriskscore) -FROM accountFraud; -``` - -This SQL query will return the minimum credit risk score from the `creditriskscore` column in the `accountFraud` table.",0.3276348114,llama-8,389,1.0191516390699125,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`creditriskscore`) FROM `accountFraud`,Find the average creditriskscore for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.26e-05,"SELECT AVG(creditriskscore) -FROM accountFraud;","```sql -SELECT AVG(creditriskscore) -FROM accountFraud; -``` - -This SQL query will return the average credit risk score for the table `accountFraud`. - -Note: The `AVG()` function is used to calculate the average of a set of values. In this case, it's applied to the `creditriskscore` column in the `accountFraud` table.",0.3794484138,llama-8,390,0.9973815309495669,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`income`) FROM `accountFraud`,Find the maximum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.32e-05,"SELECT MAX(income) -FROM accountFraud;","```sql -SELECT MAX(income) -FROM accountFraud; -``` - -This SQL query will return the maximum income from the `income` column in the `accountFraud` table.",0.3942019939,llama-8,391,1.0038453232819942,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`income`) FROM `accountFraud`,Find the minimum income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.32e-05,"SELECT MIN(income) -FROM accountFraud;","```sql -SELECT MIN(income) -FROM accountFraud; -``` - -This SQL query will return the minimum income from the `income` column in the `accountFraud` table.",0.3113632202,llama-8,392,0.97864971851962,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,accountFraud,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`income`) FROM `accountFraud`,Find the average income for the table accountFraud,"`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.94e-05,"SELECT AVG(income) -FROM accountFraud;","```sql -SELECT AVG(income) -FROM accountFraud; -``` - -This SQL query will return the average income for all rows in the `accountFraud` table. - -Note: The `AVG` function is used to calculate the average of a numeric column. In this case, it's applied to the `income` column.",0.3492588997,llama-8,393,1.0153603240141054,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `invoicedate`) FROM `latePayment`,How many different invoicedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",6.1e-05,"SELECT COUNT(DISTINCT invoicedate) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT invoicedate) -FROM latePayment; -``` - -This SQL query will return the number of different invoicedate values in the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values from the `invoicedate` column, and then `COUNT` is used to count the number of unique values.",0.4671664238,llama-8,394,0.9996394087804605,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`,How many different disputed are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.74e-05,"SELECT COUNT(DISTINCT disputed) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT disputed) -FROM latePayment; -``` - -This SQL query will return the number of different disputed values in the `latePayment` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `disputed` column.",0.4754765034,llama-8,395,1.0261606947521442,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `customerid`) FROM `latePayment`,How many different customerid are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.94e-05,"SELECT COUNT(DISTINCT customerid) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT customerid) -FROM latePayment; -``` - -This SQL query will return the count of unique customer IDs in the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values from the result set, and the `COUNT` function is used to count the number of unique values.",0.4740567207,llama-8,396,1.0129329898098924,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `paperlessdate`) FROM `latePayment`,How many different paperlessdate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.84e-05,"SELECT COUNT(DISTINCT paperlessdate) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT paperlessdate) -FROM latePayment; -``` - -This SQL query will return the number of different `paperlessdate` values in the `latePayment` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.8430166245,llama-8,397,1.0076729184390611,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `duedate`) FROM `latePayment`,How many different duedate are in table latePayment?,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.88e-05,"SELECT COUNT(DISTINCT duedate) -FROM latePayment;","```sql -SELECT COUNT(DISTINCT duedate) -FROM latePayment; -``` - -This SQL query will return the number of different `duedate` values in the `latePayment` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `duedate` column.",0.4222006798,llama-8,398,1.0293440037815689,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`daystosettle`) FROM `latePayment`,Find the maximum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.38e-05,"SELECT MAX(daystosettle) -FROM latePayment;","```sql -SELECT MAX(daystosettle) -FROM latePayment; -``` - -This SQL query will return the maximum value of `daystosettle` from the `latePayment` table.",0.3831710815,llama-8,399,1.0105602980650625,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`daystosettle`) FROM `latePayment`,Find the minimum daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.38e-05,"SELECT MIN(daystosettle) -FROM latePayment;","```sql -SELECT MIN(daystosettle) -FROM latePayment; -``` - -This SQL query will return the minimum value of `daystosettle` from the `latePayment` table.",0.435852766,llama-8,400,1.005208261585854,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`daystosettle`) FROM `latePayment`,Find the average daystosettle for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.4e-05,"SELECT AVG(daystosettle) -FROM latePayment;","```sql -SELECT AVG(daystosettle) -FROM latePayment; -``` - -This SQL query will return the average `daystosettle` for all rows in the `latePayment` table.",0.3270328045,llama-8,401,1.0182102568865143,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`dayslate`) FROM `latePayment`,Find the maximum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.26e-05,"SELECT MAX(dayslate) -FROM latePayment;","```sql -SELECT MAX(dayslate) -FROM latePayment; -``` - -This SQL query will return the maximum value of `dayslate` from the `latePayment` table.",0.3371889591,llama-8,402,1.0122234906056262,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`dayslate`) FROM `latePayment`,Find the minimum dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.26e-05,"SELECT MIN(dayslate) -FROM latePayment;","```sql -SELECT MIN(dayslate) -FROM latePayment; -``` - -This SQL query will return the minimum value of `dayslate` from the `latePayment` table.",0.4123952389,llama-8,403,0.997779638745256,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/finance/finance.sqlite,Financial,latePayment,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`dayslate`) FROM `latePayment`,Find the average dayslate for the table latePayment,"`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)","`""accountFraud""` (""hasothercards"" TEXT, ""housingstatus"" TEXT, ""dateofbirthdistinctemails4w"" INTEGER, ""income"" REAL, ""paymenttype"" TEXT, ""employmentstatus"" TEXT, ""creditriskscore"" INTEGER, ""sessionlengthminutes"" REAL, ""deviceos"" TEXT, ""emailisfree"" TEXT) -`""latePayment""` (""customerid"" TEXT, ""paperlessdate"" TEXT, ""invoicenumber"" INTEGER, ""invoicedate"" TEXT, ""duedate"" TEXT, ""invoiceamount"" REAL, ""disputed"" TEXT, ""paperlessbill"" TEXT, ""daystosettle"" INTEGER, ""dayslate"" INTEGER)",5.28e-05,"SELECT AVG(dayslate) -FROM latePayment;","```sql -SELECT AVG(dayslate) -FROM latePayment; -``` - -This SQL query will return the average number of days late for all payments in the `latePayment` table.",0.4051272869,llama-8,404,1.0410297701277365,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `menopausalstatus` FROM `breastCancer`,Show the different menopausalstatus in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.92e-05,"SELECT DISTINCT menopausalstatus -FROM breastCancer;","```sql -SELECT DISTINCT menopausalstatus -FROM breastCancer; -``` - -This SQL query will return the different menopausal statuses present in the `breastCancer` table. The `DISTINCT` keyword is used to return only unique values.",0.5574746132,llama-8,405,1.0141428241197552,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `hormonaltherapy` FROM `breastCancer`,Show the different hormonaltherapy in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.8e-05,"SELECT DISTINCT hormonaltherapy -FROM breastCancer;","```sql -SELECT DISTINCT hormonaltherapy -FROM breastCancer; -``` - -This SQL query will return all the unique hormonal therapies present in the `breastCancer` table. The `DISTINCT` keyword is used to remove duplicate values.",0.4950025082,llama-8,406,1.029325516438041,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `status` FROM `breastCancer`,Show the different status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.82e-05,"SELECT DISTINCT status -FROM breastCancer;","```sql -SELECT DISTINCT status -FROM breastCancer; -``` - -This SQL query will return all the unique status values from the `breastCancer` table. The `DISTINCT` keyword is used to retrieve only unique values, eliminating duplicates.",0.5053186417,llama-8,407,1.0017745891734244,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `heartAttack`,Show the different sex in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.78e-05,"SELECT DISTINCT sex -FROM heartAttack;","```sql -SELECT DISTINCT sex -FROM heartAttack; -``` - -This SQL query will return the different sex values from the ""sex"" column in the ""heartAttack"" table. The `DISTINCT` keyword is used to return only unique values.",0.4915935993,llama-8,408,0.9935416365957682,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `chestpaintype` FROM `heartAttack`,Show the different chestpaintype in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.8e-05,"SELECT DISTINCT chestpaintype -FROM heartAttack;","```sql -SELECT DISTINCT chestpaintype -FROM heartAttack; -``` - -This SQL code will fetch all the different chestpaintype values from the ""heartAttack"" table. The `DISTINCT` keyword is used to return only unique values.",0.3783643246,llama-8,409,0.9998709169800649,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `fastingbloodsugar` FROM `heartAttack`,Show the different fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.92e-05,"SELECT DISTINCT fastingbloodsugar -FROM heartAttack;","```sql -SELECT DISTINCT fastingbloodsugar -FROM heartAttack; -``` - -This SQL query will return the different values of `fastingbloodsugar` from the `heartAttack` table. The `DISTINCT` keyword is used to return only unique values.",0.3947324753,llama-8,410,1.03977388101649,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `restingelectrocardiographicrresults` FROM `heartAttack`,Show the different restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT DISTINCT restingelectrocardiographicrresults -FROM heartAttack; -``` - -This SQL code will fetch all the different resting electrocardiographic results from the `heartAttack` table. The `DISTINCT` keyword is used to return only unique values.",0.383866787,llama-8,411,1.010575963067434,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `output` FROM `heartAttack`,Show the different output in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001486,"SELECT DISTINCT - age, - sex, - chestpaintype, - restingbloodpressure, - cholestoralinmg, - fastingbloodsugar, - restingelectrocardiographicrresults, - numberofmajorvvessels, - thall, - output -FROM - heartAttack -GROUP BY - age, sex;","```sql -SELECT DISTINCT - heartAttack.age, - heartAttack.sex, - heartAttack.chestpaintype, - heartAttack.restingbloodpressure, - heartAttack.cholestoralinmg, - heartAttack.fastingbloodsugar, - heartAttack.restingelectrocardiographicrresults, - heartAttack.numberofmajorvvessels, - heartAttack.thall, - heartAttack.output -FROM - heartAttack; -``` - -This SQL query will return all the unique rows from the `heartAttack` table. If you want to remove duplicate rows based on a specific column, you can use the `DISTINCT` keyword along with that column. For example, to remove duplicate rows based on the `age` column, you can use the following query: - -```sql -SELECT DISTINCT - age, - sex, - chestpaintype, - restingbloodpressure, - cholestoralinmg, - fastingbloodsugar, - restingelectrocardiographicrresults, - numberofmajorvvessels, - thall, - output -FROM - heartAttack; -``` - -However, if you want to remove duplicate rows based on multiple columns, you can use the `GROUP BY` clause along with the `DISTINCT` keyword. For example, to remove duplicate rows based on the `age` and `sex` columns, you can use the following query: - -```sql -SELECT - age, - sex, - chestpaintype, - restingbloodpressure, - cholestoralinmg, - fastingbloodsugar, - restingelectrocardiographicrresults, - numberofmajorvvessels, - thall, - output -FROM - heartAttack -GROUP BY - age, sex; -``` - -Note that the `GROUP BY` clause will group the rows based on the specified columns, and the `SELECT` clause will return the first row from each group. If you want to return all the rows from each group, you can use the `DISTINCT` keyword along with the `GROUP BY` clause. For example: - -```sql -SELECT DISTINCT - age, - sex, - chestpaintype, - restingbloodpressure, - cholestoralinmg, - fastingbloodsugar, - restingelectrocardiographicrresults, - numberofmajorvvessels, - thall, - output -FROM - heartAttack -GROUP BY - age, sex; -```",1.4008135796,llama-8,412,0.0,0.035,1.0,0.0,0.125,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `menopausalstatus`, COUNT(*) FROM `breastCancer` GROUP BY `menopausalstatus`","For each menopausalstatus, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.86e-05,"SELECT - menopausalstatus, - COUNT(*) as count -FROM - breastCancer -GROUP BY - menopausalstatus;","```sql -SELECT - menopausalstatus, - COUNT(*) as count -FROM - breastCancer -GROUP BY - menopausalstatus; -``` - -This SQL query will return the count of rows for each unique `menopausalstatus` in the `breastCancer` table. The `GROUP BY` clause groups the rows by `menopausalstatus`, and the `COUNT(*)` function counts the number of rows in each group.",0.5938687325,llama-8,413,1.0267991731582917,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `hormonaltherapy`, COUNT(*) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.88e-05,"SELECT - hormonaltherapy, - COUNT(*) as count -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - COUNT(*) as count -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return a list of all unique hormonal therapies in the `breastCancer` table, along with the number of rows for each therapy. The `GROUP BY` clause groups the rows by the `hormonaltherapy` column, and the `COUNT(*)` function counts the number of rows in each group.",0.4907543659,llama-8,414,1.0056755868855705,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-COUNT,"SELECT `status`, COUNT(*) FROM `breastCancer` GROUP BY `status`","For each status, count the number of rows in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.82e-05,"SELECT - bc.status, - COUNT(bc.patientidentifier) AS count -FROM - breastCancer bc -GROUP BY - bc.status;","```sql -SELECT - bc.status, - COUNT(bc.patientidentifier) AS count -FROM - breastCancer bc -GROUP BY - bc.status; -``` - -This SQL query will return a list of all unique statuses in the `breastCancer` table along with the count of rows for each status. The `GROUP BY` clause groups the rows by the `status` column, and the `COUNT` function counts the number of rows in each group.",0.562659502,llama-8,415,1.012929323389529,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.12e-05,"SELECT - hormonaltherapy, - MIN(progesteronereceptor) AS min_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - MIN(progesteronereceptor) AS min_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return the minimum value of `progesteronereceptor` for each unique value of `hormonaltherapy` in the `breastCancer` table. The result will be grouped by `hormonaltherapy` and will include the minimum `progesteronereceptor` value for each group.",0.7264478207,llama-8,416,1.0668902702777943,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.16e-05,"SELECT - hormonaltherapy, - MAX(progesteronereceptor) AS max_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - MAX(progesteronereceptor) AS max_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return the maximum value of `progesteronereceptor` for each unique value in the `hormonaltherapy` column in the `breastCancer` table. The result will be grouped by `hormonaltherapy` and will include the maximum `progesteronereceptor` value for each group.",0.5561225414,llama-8,417,1.0055965979763883,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.06e-05,"SELECT - hormonaltherapy, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return the average value of `progesteronereceptor` for each unique value in the `hormonaltherapy` column in the `breastCancer` table. The result will be grouped by `hormonaltherapy` and the average value will be calculated for each group.",0.5407655239,llama-8,418,0.9977316898725155,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.78e-05,"SELECT - hormonaltherapy, - SUM(progesteronereceptor) AS total_progesterone_receptor -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - SUM(progesteronereceptor) AS total_progesterone_receptor -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return the sum of progesterone receptor for each hormonal therapy in the breastCancer table. The result will be a table with two columns: `hormonaltherapy` and `total_progesterone_receptor`.",0.4785015583,llama-8,419,0.9476313565084563,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `hormonaltherapy`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.08e-05,"SELECT - hormonaltherapy, - MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return the minimum number of positively lymph nodes for each hormonal therapy in the `breastCancer` table. The `GROUP BY` clause groups the results by `hormonaltherapy`, and the `MIN` function calculates the minimum value of `numberpositivelymphnodes` for each group.",0.5903096199,llama-8,420,1.0229025649277754,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `hormonaltherapy`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.14e-05,"SELECT - hormonaltherapy, - MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return the maximum number of positively lymph nodes for each hormonal therapy in the `breastCancer` table. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `MAX` function calculates the maximum value of `numberpositivelymphnodes` for each group.",0.5668964386,llama-8,421,0.9999406197288702,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `hormonaltherapy`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.2e-05,"SELECT - hormonaltherapy, - AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return the average number of positively lymph nodes for each hormonal therapy in the `breastCancer` table. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `AVG` function calculates the average of the `numberpositivelymphnodes` column for each group.",0.6072685719,llama-8,422,1.0258019126897528,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `hormonaltherapy`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","For each hormonaltherapy, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.98e-05,"SELECT - hormonaltherapy, - SUM(numberpositivelymphnodes) AS total_lymph_nodes -FROM - breastCancer -GROUP BY - hormonaltherapy;","```sql -SELECT - hormonaltherapy, - SUM(numberpositivelymphnodes) AS total_lymph_nodes -FROM - breastCancer -GROUP BY - hormonaltherapy; -``` - -This SQL query will return a list of hormonal therapies along with the total number of positively lymph nodes for each therapy. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `SUM` function calculates the total number of positively lymph nodes for each group.",0.5065026283,llama-8,423,1.0236176100189691,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.28e-05,"SELECT - status, - MIN(progesteronereceptor) AS min_progesteronereceptor -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - MIN(progesteronereceptor) AS min_progesteronereceptor -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the minimum value of `progesteronereceptor` for each unique `status` in the `breastCancer` table. The `GROUP BY` clause is used to group the rows by the `status` column, and the `MIN` aggregation function is used to calculate the minimum value of `progesteronereceptor` for each group.",0.512055397,llama-8,424,1.0045016153978068,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.14e-05,"SELECT - status, - MAX(progesteronereceptor) AS max_progesteronereceptor -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - MAX(progesteronereceptor) AS max_progesteronereceptor -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the maximum value of `progesteronereceptor` for each `status` in the `breastCancer` table. The `GROUP BY` clause groups the rows by the `status` column, and the `MAX` function calculates the maximum value of `progesteronereceptor` for each group.",0.4753808975,llama-8,425,1.0396297324819956,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.28e-05,"SELECT - status, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - AVG(progesteronereceptor) AS avg_progesteronereceptor -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the average value of `progesteronereceptor` for each unique `status` in the `breastCancer` table. The `GROUP BY` clause is used to group the rows by the `status` column, and the `AVG` function is used to calculate the average value of `progesteronereceptor` for each group.",0.4702663422,llama-8,426,1.00928639923272,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of progesteronereceptor in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.8e-05,"SELECT - status, - SUM(progesteronereceptor) AS total_progesteronereceptor -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - SUM(progesteronereceptor) AS total_progesteronereceptor -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the sum of progesterone receptor for each status in the breastCancer table. The `GROUP BY` clause groups the results by the status column, and the `SUM` function calculates the total progesterone receptor for each group.",0.5724744797,llama-8,427,1.0004989966337179,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MIN,"SELECT `status`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the min of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.92e-05,"SELECT - status, - MIN(numberpositivelymphnodes) AS min_lmphnodes -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - MIN(numberpositivelymphnodes) AS min_lmphnodes -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the minimum number of positivelymphnodes for each status in the breastCancer table. The `GROUP BY` clause groups the rows by the `status` column, and the `MIN` aggregation function calculates the minimum value of `numberpositivelymphnodes` for each group.",0.5483021736,llama-8,428,0.9853767281990655,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-MAX,"SELECT `status`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the max of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.96e-05,"SELECT - status, - MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the maximum number of positivelymphnodes for each status in the breastCancer table. The `GROUP BY` clause groups the results by the `status` column, and the `MAX` function calculates the maximum value of `numberpositivelymphnodes` for each group.",0.6425533295,llama-8,429,1.0427382425742922,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-AVG,"SELECT `status`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the avg of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.98e-05,"SELECT - status, - AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the average number of positivelymphnodes for each status in the breastCancer table. The `GROUP BY` clause groups the results by the `status` column, and the `AVG` function calculates the average of the `numberpositivelymphnodes` column for each group.",0.8340053558,llama-8,430,1.057155882952571,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,GROUPBY,GROUPBY-AGG-SUM,"SELECT `status`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","For each status, find the sum of numberpositivelymphnodes in table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.74e-05,"SELECT - status, - SUM(numberpositivelymphnodes) AS total_lmphnodes -FROM - breastCancer -GROUP BY - status;","```sql -SELECT - status, - SUM(numberpositivelymphnodes) AS total_lmphnodes -FROM - breastCancer -GROUP BY - status; -``` - -This SQL query will return the sum of `numberpositivelymphnodes` for each unique `status` in the `breastCancer` table. The result will be a table with two columns: `status` and `total_lmphnodes`.",0.4788408279,llama-8,431,1.0006566794985483,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `sex`, COUNT(*) FROM `heartAttack` GROUP BY `sex`","For each sex, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.44e-05,"SELECT - sex, - COUNT(*) as count -FROM - heartAttack -GROUP BY - sex;","```sql -SELECT - sex, - COUNT(*) as count -FROM - heartAttack -GROUP BY - sex; -``` - -This SQL query will return two columns: `sex` and `count`. The `sex` column will contain the different sex values from the `heartAttack` table, and the `count` column will contain the number of rows for each sex.",0.4309639931,llama-8,432,1.0112656473603558,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `chestpaintype`, COUNT(*) FROM `heartAttack` GROUP BY `chestpaintype`","For each chestpaintype, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.72e-05,"SELECT - chestpaintype, - COUNT(*) as count -FROM - heartAttack -GROUP BY - chestpaintype;","```sql -SELECT - chestpaintype, - COUNT(*) as count -FROM - heartAttack -GROUP BY - chestpaintype; -``` - -This SQL query will return a list of chestpaintype and the number of rows in the heartAttack table for each chestpaintype. The COUNT(*) function is used to count the number of rows for each group. The GROUP BY clause is used to group the rows by chestpaintype.",0.4999406338,llama-8,433,0.9983476360217298,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `fastingbloodsugar`, COUNT(*) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.48e-05,"SELECT COUNT(*) -FROM heartAttack -WHERE fastingbloodsugar IS NOT NULL;","```sql -SELECT COUNT(*) -FROM heartAttack -WHERE fastingbloodsugar IS NOT NULL; -``` - -This SQL query will return the number of rows in the `heartAttack` table where the `fastingbloodsugar` column is not null. The `IS NOT NULL` condition is used to exclude rows with null values in the `fastingbloodsugar` column.",0.4496893883,llama-8,434,0.0,0.0,0.0,0.0,0.5,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `restingelectrocardiographicrresults`, COUNT(*) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.000122,"SELECT - COUNT(*) as count, - heartAttack.restelectrocardiographicrresults -FROM - heartAttack -WHERE - heartAttack.restelectrocardiographicrresults = 'ST-T wave abnormality' -GROUP BY - heartAttack.restelectrocardiographicrresults;","```sql -SELECT - COUNT(*) as count, - heartAttack.restelectrocardiographicrresults -FROM - heartAttack -GROUP BY - heartAttack.restelectrocardiographicrresults -ORDER BY - count DESC; -``` - -This SQL query will return the count of rows in the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column, ordered by the count in descending order. - -However, if you want to count the number of rows for each unique value in the `restingelectrocardiographicrresults` column, you can use the following query: - -```sql -SELECT - COUNT(*) as count, - heartAttack.restelectrocardiographicrresults -FROM - heartAttack -GROUP BY - heartAttack.restelectrocardiographicrresults -ORDER BY - count DESC; -``` - -This query will return the count of rows for each unique value in the `restingelectrocardiographicrresults` column. If you want to get the count for a specific value, you can replace the `heartAttack.restelectrocardiographicrresults` in the `SELECT` clause with the specific value you are looking for. - -For example, if you want to get the count for the value 'ST-T wave abnormality', you can use the following query: - -```sql -SELECT - COUNT(*) as count, - heartAttack.restelectrocardiographicrresults -FROM - heartAttack -WHERE - heartAttack.restelectrocardiographicrresults = 'ST-T wave abnormality' -GROUP BY - heartAttack.restelectrocardiographicrresults; -```",1.8610548973,llama-8,435,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-COUNT,"SELECT `output`, COUNT(*) FROM `heartAttack` GROUP BY `output`","For each output, count the number of rows in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.54e-05,"SELECT - ha.output, - COUNT(*) as count -FROM - heartAttack ha -GROUP BY - ha.output;","```sql -SELECT - ha.output, - COUNT(*) as count -FROM - heartAttack ha -GROUP BY - ha.output; -``` - -This SQL query will return the count of rows for each output in the `heartAttack` table. The `GROUP BY` clause groups the rows by the `output` column, and the `COUNT(*)` function counts the number of rows in each group.",0.6742930412,llama-8,436,1.0701527495352747,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001174,"SELECT T1.restingelectrocardiographicrresults, MIN(T1.age) AS min_age -FROM heartAttack AS T1 -GROUP BY T1.restingelectrocardiographicrresults;","```sql -SELECT MIN(T1.age) -FROM heartAttack AS T1 -INNER JOIN restingelectrocardiographicrresults AS T2 -ON T1.restingelectrocardiographicrresults = T2.restingelectrocardiographicrresults; -``` - -However, since the `restingelectrocardiographicrresults` column in the `heartAttack` table seems to be a foreign key referencing the `restingelectrocardiographicrresults` table, it's more likely that you want to join the `heartAttack` table with the `restingelectrocardiographicrresults` table on the `restingelectrocardiographicrresults` column. - -If that's the case, you can use the following SQL query: - -```sql -SELECT MIN(T1.age) -FROM heartAttack AS T1 -INNER JOIN restingelectrocardiographicrresults AS T2 -ON T1.restingelectrocardiographicrresults = T2.id; -``` - -However, since the `id` column is not present in the provided schema, you should replace `id` with the actual primary key of the `restingelectrocardiographicrresults` table. - -If you want to find the minimum age for each unique value in the `restingelectrocardiographicrresults` column, you can use the following SQL query: - -```sql -SELECT T1.restingelectrocardiographicrresults, MIN(T1.age) AS min_age -FROM heartAttack AS T1 -GROUP BY T1.restingelectrocardiographicrresults; -```",1.096984148,llama-8,437,1.000715928560023,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.9e-05,"SELECT T1.restingelectrocardiographicrresults, MAX(T1.age) -FROM heartAttack T1 -GROUP BY T1.restingelectrocardiographicrresults;","```sql -SELECT MAX(T1.age) -FROM heartAttack T1 -WHERE T1.restingelectrocardiographicrresults = 'restingelectrocardiographicrresults'; -``` - -This SQL query will return the maximum age from the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column. However, since the `restingelectrocardiographicrresults` column seems to be a single value repeated for each row, this query will return the maximum age for this single value. - -If you want to get the maximum age for each unique value in the `restingelectrocardiographicrresults` column, you should use a GROUP BY statement: - -```sql -SELECT T1.restingelectrocardiographicrresults, MAX(T1.age) -FROM heartAttack T1 -GROUP BY T1.restingelectrocardiographicrresults; -```",0.8029882908,llama-8,438,1.0136329981374526,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.12e-05,"SELECT T1.restingelectrocardiographicrresults, AVG(T1.age) -FROM heartAttack AS T1 -GROUP BY T1.restingelectrocardiographicrresults;","```sql -SELECT AVG(T1.age) -FROM heartAttack AS T1 -INNER JOIN restingelectrocardiographicrresults AS T2 -ON T1.restingelectrocardiographicrresults = T2.restingelectrocardiographicrresults; -``` - -This SQL query will return the average age of patients in the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column. - -However, if you want to get the average age for each unique value in the `restingelectrocardiographicrresults` column, you should use the `GROUP BY` clause: - -```sql -SELECT T1.restingelectrocardiographicrresults, AVG(T1.age) -FROM heartAttack AS T1 -GROUP BY T1.restingelectrocardiographicrresults; -``` - -This query will return the average age for each unique value in the `restingelectrocardiographicrresults` column.",0.762137413,llama-8,439,1.0157013783375057,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.54e-05,"SELECT - SUM(ha.age) -FROM - heartAttack ha -WHERE - ha.restelectrocardiographicrresults IS NOT NULL;","```sql -SELECT - SUM(ha.age) -FROM - heartAttack ha -WHERE - ha.restelectrocardiographicrresults IS NOT NULL; -``` - -This SQL query will return the sum of the 'age' column in the 'heartAttack' table where the 'restingelectrocardiographicrresults' column is not null.",0.453653574,llama-8,440,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `restingelectrocardiographicrresults`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.72e-05,"SELECT - MIN(numberofmajorvvessels) -FROM - heartAttack;","```sql -SELECT - MIN(T2.numberofmajorvvessels) -FROM - heartAttack AS T1 -INNER JOIN - heartAttack AS T2 ON T1.restingelectrocardiographicrresults = T2.restingelectrocardiographicrresults -WHERE - T1.numberofmajorvvessels IS NOT NULL; -``` - -However, the above SQL query will return the minimum number of major vessels for each unique `restingelectrocardiographicrresults` value. If you want to get the minimum number of major vessels for all rows in the `heartAttack` table, you can use the following query: - -```sql -SELECT - MIN(numberofmajorvvessels) -FROM - heartAttack; -``` - -This query will return the minimum number of major vessels for all rows in the `heartAttack` table.",0.6814675331,llama-8,441,0.0,1.0,0.25,0.0,0.333,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `restingelectrocardiographicrresults`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.5e-05,"SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) as max_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults;","```sql -SELECT MAX(numberofmajorvvessels) -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'restingelectrocardiographicrresults'; -``` - -However, the above SQL query will return the maximum number of major vessels for all rows where the resting electrocardiographic results match the given string. If you want to find the maximum number of major vessels for each unique resting electrocardiographic result, you can use the following SQL query: - -```sql -SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) as max_vessels -FROM heartAttack -GROUP BY restingelectrocardiographicrresults; -``` - -This query will return a list of unique resting electrocardiographic results along with the maximum number of major vessels for each result.",0.7645719051,llama-8,442,1.0368293945901166,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `restingelectrocardiographicrresults`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.34e-05,"SELECT AVG(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT AVG(ha.numberofmajorvvessels) -FROM heartAttack ha -JOIN restingelectrocardiographicrresults rer ON ha.restingelectrocardiographicrresults = rer.id; -``` - -However, the above SQL query assumes that there is a separate table for `restingelectrocardiographicrresults` which is not present in the given database schema. - -If we assume that `restingelectrocardiographicrresults` is a column in the `heartAttack` table, then the SQL query would be: - -```sql -SELECT AVG(numberofmajorvvessels) -FROM heartAttack; -``` - -This query will return the average of `numberofmajorvvessels` for all rows in the `heartAttack` table.",0.7222881317,llama-8,443,0.0,0.0,0.0,0.0,0.333,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `restingelectrocardiographicrresults`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","For each restingelectrocardiographicrresults, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.26e-05,"SELECT - restingelectrocardiographicrresults, - SUM(numberofmajorvvessels) -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults;","```sql -SELECT - SUM(numberofmajorvvessels) -FROM - heartAttack -WHERE - restingelectrocardiographicrresults = 'restingelectrocardiographicrresults'; -``` - -However, this SQL query will return the sum of `numberofmajorvvessels` for all rows in the `heartAttack` table where `restingelectrocardiographicrresults` is equal to the specified value. - -If you want to get the sum for each unique value of `restingelectrocardiographicrresults`, you can use the following query: - -```sql -SELECT - restingelectrocardiographicrresults, - SUM(numberofmajorvvessels) -FROM - heartAttack -GROUP BY - restingelectrocardiographicrresults; -``` - -This query will return a list of unique `restingelectrocardiographicrresults` values and the sum of `numberofmajorvvessels` for each value.",0.9573936462,llama-8,444,1.0013567359360103,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.36e-05,"SELECT - fastingbloodsugar, - MIN(age) AS min_age -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - MIN(T2.age) AS min_age -FROM - heartAttack AS T1 - LEFT JOIN heartAttack AS T2 ON T1.fastingbloodsugar = T2.fastingbloodsugar -GROUP BY - fastingbloodsugar; -``` - -This SQL query will return the minimum age for each fasting blood sugar value in the `heartAttack` table. - -However, if you want to get the minimum age for each unique fasting blood sugar value, you can use the following query: - -```sql -SELECT - fastingbloodsugar, - MIN(age) AS min_age -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This query will return the minimum age for each unique fasting blood sugar value in the `heartAttack` table.",0.5413272381,llama-8,445,1.0490861378274543,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001096,"SELECT T1.fastingbloodsugar, MAX(T1.age) -FROM heartAttack AS T1 -GROUP BY T1.fastingbloodsugar -ORDER BY MAX(T1.age) DESC -LIMIT 1;","```sql -SELECT fastingbloodsugar, MAX(T2.age) -FROM heartAttack AS T1 -JOIN heartAttack AS T2 ON T1.fastingbloodsugar = T2.fastingbloodsugar -GROUP BY T1.fastingbloodsugar; -``` - -However, the above SQL query will not give the desired result because it will return the maximum age for each fastingbloodsugar value, but it will not return the fastingbloodsugar value itself. - -If you want to get the fastingbloodsugar value along with the maximum age, you can use the following SQL query: - -```sql -SELECT T1.fastingbloodsugar, MAX(T1.age) -FROM heartAttack AS T1 -GROUP BY T1.fastingbloodsugar; -``` - -This SQL query will return the fastingbloodsugar value and the maximum age for each fastingbloodsugar value. - -However, if you want to get the fastingbloodsugar value and the maximum age for each fastingbloodsugar value, and you also want to get the fastingbloodsugar value that has the maximum age, you can use the following SQL query: - -```sql -SELECT T1.fastingbloodsugar, MAX(T1.age) -FROM heartAttack AS T1 -GROUP BY T1.fastingbloodsugar -ORDER BY MAX(T1.age) DESC -LIMIT 1; -``` - -This SQL query will return the fastingbloodsugar value that has the maximum age.",1.287766695,llama-8,446,0.0,1.0,0.5,0.0,0.5,0.5,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.88e-05,"SELECT fastingbloodsugar, AVG(age) as avg_age -FROM heartAttack -GROUP BY fastingbloodsugar;","```sql -SELECT AVG(age) -FROM heartAttack -WHERE fastingbloodsugar = 'fastingbloodsugar'; -``` - -However, the above SQL query will return the average age for all rows in the `heartAttack` table where the `fastingbloodsugar` is equal to the specific value you are looking for. If you want to get the average age for each unique value of `fastingbloodsugar`, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, AVG(age) as avg_age -FROM heartAttack -GROUP BY fastingbloodsugar; -``` - -This query will return a list of unique `fastingbloodsugar` values along with their corresponding average ages.",0.6717026234,llama-8,447,1.0116107199255773,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of age in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.22e-05,"SELECT - ha.fastingbloodsugar, - SUM(ha.age) AS total_age -FROM - heartAttack ha -GROUP BY - ha.fastingbloodsugar;","```sql -SELECT - ha.age, - SUM(ha.age) AS total_age -FROM - heartAttack ha -JOIN - fastingbloodsugar fbs ON ha.fastingbloodsugar = fbs.fastingbloodsugar -GROUP BY - ha.age; -``` - -However, since the question asks to find the sum of age for each fastingbloodsugar, we need to group the results by fastingbloodsugar. Here's the corrected SQL code: - -```sql -SELECT - ha.fastingbloodsugar, - SUM(ha.age) AS total_age -FROM - heartAttack ha -GROUP BY - ha.fastingbloodsugar; -``` - -This SQL code will return the sum of age for each unique fastingbloodsugar in the heartAttack table.",0.760086298,llama-8,448,0.9801345786980112,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MIN,"SELECT `fastingbloodsugar`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the min of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.3e-05,"SELECT - fastingbloodsugar, - MIN(numberofmajorvvessels) AS min_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - MIN(numberofmajorvvessels) AS min_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This SQL query will return the minimum number of major vessels for each fasting blood sugar level in the `heartAttack` table. The `GROUP BY` clause groups the results by the `fastingbloodsugar` column, and the `MIN` function calculates the minimum value of `numberofmajorvvessels` for each group.",0.6521139145,llama-8,449,1.0350818752781306,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-MAX,"SELECT `fastingbloodsugar`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the max of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.3e-05,"SELECT - fastingbloodsugar, - MAX(numberofmajorvvessels) AS max_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - MAX(numberofmajorvvessels) AS max_numberofmajorvvessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This SQL query will return the maximum number of major vessels for each fasting blood sugar level in the `heartAttack` table. The `GROUP BY` clause groups the results by the `fastingbloodsugar` column, and the `MAX` function calculates the maximum value of `numberofmajorvvessels` for each group.",0.6250741482,llama-8,450,1.0004084793392922,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-AVG,"SELECT `fastingbloodsugar`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the avg of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.34e-05,"SELECT - fastingbloodsugar, - AVG(numberofmajorvvessels) AS avg_number_of_major_vessels -FROM - heartAttack -GROUP BY - fastingbloodsugar;","```sql -SELECT - fastingbloodsugar, - AVG(numberofmajorvvessels) AS avg_number_of_major_vessels -FROM - heartAttack -GROUP BY - fastingbloodsugar; -``` - -This SQL query will return the average number of major vessels for each fasting blood sugar level in the `heartAttack` table. The `GROUP BY` clause groups the results by the `fastingbloodsugar` column, and the `AVG` function calculates the average of the `numberofmajorvvessels` column for each group.",0.547264576,llama-8,451,1.007976131058183,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,GROUPBY,GROUPBY-AGG-SUM,"SELECT `fastingbloodsugar`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","For each fastingbloodsugar, find the sum of numberofmajorvvessels in table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.34e-05,"SELECT - ha.fastingbloodsugar, - SUM(ha.numberofmajorvvessels) AS total_number_of_major_vessels -FROM - heartAttack ha -GROUP BY - ha.fastingbloodsugar;","```sql -SELECT - ha.fastingbloodsugar, - SUM(ha.numberofmajorvvessels) AS total_number_of_major_vessels -FROM - heartAttack ha -GROUP BY - ha.fastingbloodsugar; -``` - -This SQL query will return the sum of `numberofmajorvvessels` for each unique value of `fastingbloodsugar` in the `heartAttack` table. The result will be a table with two columns: `fastingbloodsugar` and `total_number_of_major_vessels`.",0.6471159458,llama-8,452,1.017445683842083,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) >= 12,Find all the menopausalstatus that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.5e-05,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(patientidentifier) >= 12;","```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(patientidentifier) >= 12; -``` - -This SQL query will return all the unique `menopausalstatus` values from the `breastCancer` table where the count of records for each `menopausalstatus` is 12 or more.",0.3920178413,llama-8,453,1.0063318513418646,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) <= 12,Find all the menopausalstatus that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.52e-05,"SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12;","```sql -SELECT menopausalstatus -FROM breastCancer -GROUP BY menopausalstatus -HAVING COUNT(*) <= 12; -``` - -This SQL query will return all the unique `menopausalstatus` values from the `breastCancer` table where the count of records for each `menopausalstatus` is less than or equal to 12.",0.4334743023,llama-8,454,1.0464817014698606,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) >= 12,Find all the hormonaltherapy that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.96e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(patientidentifier) >= 12;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(patientidentifier) >= 12; -``` - -This SQL query will return all the unique hormonaltherapy values from the `breastCancer` table where the count of patient records is at least 12. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `HAVING` clause filters the results to only include groups with at least 12 records.",0.6731660366,llama-8,455,0.9998604548297044,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) <= 12,Find all the hormonaltherapy that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.24e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(patientidentifier) <= 12;","```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING COUNT(patientidentifier) <= 12; -``` - -This SQL query will return all the unique hormonaltherapy values from the `breastCancer` table where the count of patient records for each hormonaltherapy is 12 or less.",0.4457094669,llama-8,456,1.017213286402893,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) >= 12,Find all the status that have at least 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.88e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(patientidentifier) >= 12;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(patientidentifier) >= 12; -``` - -This SQL query will return all the unique statuses from the `breastCancer` table where the count of records for each status is at least 12. The `GROUP BY` clause groups the records by the `status` column, and the `HAVING` clause filters the groups to only include those with a count of at least 12.",0.4858705997,llama-8,457,1.036423982749257,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-COUNT,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) <= 12,Find all the status that have at most 12 records in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.7e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(status) <= 12;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING COUNT(status) <= 12; -``` - -This SQL query will return all the unique statuses in the `breastCancer` table that have 12 or fewer records. The `GROUP BY` clause groups the results by the `status` column, and the `HAVING` clause filters the results to only include groups with 12 or fewer records.",0.6727230549,llama-8,458,1.012570924726253,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) >= 30.14,List the hormonaltherapy which average of tumorsize is at least 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.04e-05,"SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize >= 30.14;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize >= 30.14; -``` - -This SQL query will return all the hormonaltherapy values from the breastCancer table where the tumorsize is at least 30.14.",0.4845101833,llama-8,459,0.0,0.5,1.0,0.0,0.083,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) <= 30.14,List the hormonaltherapy which average of tumorsize is at most 30.14 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.86e-05,"SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 30.14;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 30.14 -GROUP BY hormonaltherapy -HAVING AVG(tumorsize) <= 30.14; -``` - -However, the above SQL query will return hormonaltherapy for each group where the average tumorsize is at most 30.14. If you want to get the hormonaltherapy for the entire table where the average tumorsize is at most 30.14, you can use the following query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 30.14; -``` - -This query will return all hormonaltherapy where the tumorsize is at most 30.14.",0.6745760441,llama-8,460,0.0,0.5,1.0,0.0,0.077,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) >= 389.5,List the hormonaltherapy which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.26e-05,"SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize >= 389.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize >= 389.5; -``` - -This SQL query will return the `hormonaltherapy` values from the `breastCancer` table where the `tumorsize` is at least 389.5.",0.3623187542,llama-8,461,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) <= 389.5,List the hormonaltherapy which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 389.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE tumorsize <= 389.5; -``` - -This SQL query will return all the hormonaltherapy values from the breastCancer table where the tumorsize is at most 389.5.",0.4413089752,llama-8,462,0.0,0.5,1.0,0.0,0.04,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) >= 53.95,List the hormonaltherapy which average of age is at least 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.78e-05,"SELECT hormonaltherapy -FROM breastCancer -WHERE age >= (SELECT AVG(age) FROM breastCancer) * 0.95;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age >= 53.95; -``` - -This SQL query will return the `hormonaltherapy` values from the `breastCancer` table where the average age is at least 53.95. However, please note that the query will return all `hormonaltherapy` values for patients whose age is 53.95 or more, not the average age of all patients. - -If you want to calculate the average age of all patients and then filter the results, you can use the following query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age >= (SELECT AVG(age) FROM breastCancer) * 0.95; -``` - -This query will return the `hormonaltherapy` values from the `breastCancer` table where the age is at least 95% of the average age of all patients.",0.764788866,llama-8,463,0.0,0.5,1.0,0.0,0.067,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) <= 53.95,List the hormonaltherapy which average of age is at most 53.95 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.8e-05,"SELECT hormonaltherapy, AVG(age) as average_age -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age <= 53.95 -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95; -``` - -This SQL query will return the `hormonaltherapy` values from the `breastCancer` table where the average age of patients who received that therapy is at most 53.95. - -However, if you want to get the average age for each hormonal therapy and then filter the results to include only those with an average age at most 53.95, you can use the following query: - -```sql -SELECT hormonaltherapy, AVG(age) as average_age -FROM breastCancer -GROUP BY hormonaltherapy -HAVING AVG(age) <= 53.95; -``` - -This query will return the `hormonaltherapy` values and their corresponding average ages, but only for those with an average age at most 53.95.",1.0292785168,llama-8,464,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) >= 640.5,List the hormonaltherapy which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.36e-05,"SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age + (SELECT SUM(age) FROM breastCancer) >= 640.5; -``` - -However, the above SQL query will not give the expected result because it will sum up all the ages in the `breastCancer` table and then check if the sum of the current row's age plus this sum is greater than or equal to 640.5. This is not what we want. - -Instead, we want to sum up the ages of all rows where the hormonal therapy is the same as the current row, and then check if this sum is greater than or equal to 640.5. Here's the correct SQL query: - -```sql -SELECT hormonaltherapy -FROM breastCancer -GROUP BY hormonaltherapy -HAVING SUM(age) >= 640.5; -``` - -This query will group the rows by hormonal therapy and then sum up the ages for each group. It will only include groups where the sum of the ages is greater than or equal to 640.5 in the result.",1.2392983437,llama-8,465,0.9951304191050202,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) <= 640.5,List the hormonaltherapy which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT hormonaltherapy -FROM breastCancer -WHERE age <= 640.5;","```sql -SELECT hormonaltherapy -FROM breastCancer -WHERE age <= 640.5; -``` - -This SQL query will return all the hormonaltherapy values from the breastCancer table where the age is less than or equal to 640.5.",0.3867058754,llama-8,466,0.0,0.5,1.0,0.0,0.04,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) >= 34.41,List the status which average of tumorsize is at least 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.92e-05,"SELECT status -FROM breastCancer -WHERE tumorsize >= (SELECT AVG(tumorsize) FROM breastCancer);","```sql -SELECT status -FROM breastCancer -WHERE tumorsize / (SELECT COUNT(tumorsize) FROM breastCancer) * 100 >= 34.41; -``` - -However, the above SQL query will not give the correct result because it is trying to divide the tumorsize by the count of tumorsize. - -To get the average tumorsize, you should use the AVG function. Here's the correct SQL query: - -```sql -SELECT status -FROM breastCancer -WHERE tumorsize >= (SELECT AVG(tumorsize) * 0.3411 FROM breastCancer); -``` - -However, the above SQL query will not give the correct result because it is trying to multiply the average tumorsize by 0.3411. - -To get the average tumorsize which is at least 34.41, you should use the AVG function and a subquery. Here's the correct SQL query: - -```sql -SELECT status -FROM breastCancer -WHERE tumorsize >= (SELECT AVG(tumorsize) FROM breastCancer); -``` - -This query will return all the status where the tumorsize is greater than or equal to the average tumorsize in the breastCancer table.",0.9077715874,llama-8,467,0.0,0.5,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) <= 34.41,List the status which average of tumorsize is at most 34.41 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.58e-05,"SELECT status -FROM breastCancer -WHERE tumorsize <= (SELECT AVG(tumorsize) FROM breastCancer) * 1.01;","```sql -SELECT status -FROM breastCancer -WHERE tumorsize / (SELECT COUNT(*) FROM breastCancer) * 100 <= 34.41; -``` - -However, the above SQL query will not give the correct result because it is dividing the tumorsize by the total count of rows in the table. - -To get the average tumorsize, you should use the AVG function. Here's the correct SQL query: - -```sql -SELECT status -FROM breastCancer -WHERE tumorsize <= (SELECT AVG(tumorsize) FROM breastCancer) * 1.01; -``` - -In this query, we are selecting the status from the breastCancer table where the tumorsize is less than or equal to 1.01 times the average tumorsize. This is because the average tumorsize might not be exactly 34.41 due to floating point precision issues.",0.8927013874,llama-8,468,0.0,0.5,1.0,0.0,0.071,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) >= 389.5,List the status which summation of tumorsize is at least 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.12e-05,"SELECT status -FROM breastCancer -WHERE tumorsize >= 389.5;","```sql -SELECT status -FROM breastCancer -WHERE tumorsize >= 389.5; -``` - -This SQL query will return all the statuses from the `breastCancer` table where the `tumorsize` is at least 389.5.",0.4621157646,llama-8,469,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) <= 389.5,List the status which summation of tumorsize is at most 389.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.18e-05,"SELECT status -FROM breastCancer -WHERE tumorsize <= 389.5;","```sql -SELECT status -FROM breastCancer -WHERE tumorsize <= 389.5; -``` - -This SQL query will return all the statuses from the `breastCancer` table where the `tumorsize` is less than or equal to 389.5.",0.4120941162,llama-8,470,0.0,0.5,1.0,0.0,0.04,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) >= 53.44,List the status which average of age is at least 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.94e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING AVG(age) >= 53.44; -``` - -This SQL query will return the status from the `breastCancer` table where the average age is at least 53.44. The `GROUP BY` clause groups the rows by the `status` column, and the `HAVING` clause filters the groups to only include those where the average age is at least 53.44.",0.4748089314,llama-8,471,1.0048519385923405,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-AVG,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) <= 53.44,List the status which average of age is at most 53.44 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001156,"SELECT status -FROM breastCancer -WHERE age <= (SELECT AVG(age) FROM breastCancer);","```sql -SELECT status -FROM breastCancer -WHERE age / COUNT(*) * 100 <= 53.44; -``` - -However, the above SQL query will not give the correct result because the average age is calculated by dividing the sum of all ages by the number of patients. - -To get the correct result, we need to calculate the average age first and then filter the status. Here's the correct SQL query: - -```sql -SELECT status -FROM breastCancer -WHERE age <= (SELECT AVG(age) FROM breastCancer) * 1.02; -``` - -In this query, we are selecting the status from the breastCancer table where the age is less than or equal to 1.02 times the average age. This will give us the status where the average age is at most 53.44. - -However, if you want to get the exact average age of 53.44, you can use the following query: - -```sql -SELECT status -FROM breastCancer -WHERE age <= 53.44 * COUNT(*) / (SELECT COUNT(*) FROM breastCancer); -``` - -But this query will also not give the correct result because the average age is calculated by dividing the sum of all ages by the number of patients. - -To get the correct result, we need to calculate the average age first and then filter the status. Here's the correct SQL query: - -```sql -SELECT status -FROM breastCancer -WHERE age <= (SELECT AVG(age) FROM breastCancer); -``` - -This query will give us the status where the average age is at most 53.44.",1.1528573036,llama-8,472,0.0,0.5,1.0,0.0,0.071,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) >= 640.5,List the status which summation of age is at least 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.54e-05,"SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5;","```sql -SELECT status -FROM breastCancer -GROUP BY status -HAVING SUM(age) >= 640.5; -``` - -This SQL query will return the status from the `breastCancer` table where the sum of the ages for each status is at least 640.5. - -Here's how it works: - -- `SELECT status`: This selects the `status` column from the `breastCancer` table. -- `FROM breastCancer`: This specifies the table to query. -- `GROUP BY status`: This groups the results by the `status` column. This is necessary because we're using an aggregate function (`SUM`) in the `HAVING` clause. -- `HAVING SUM(age) >= 640.5`: This filters the results to only include groups where the sum of the ages is at least 640.5.",0.6278831959,llama-8,473,1.0044039439514556,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,HAVING,HAVING-AGG-SUM,SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) <= 640.5,List the status which summation of age is at most 640.5 in table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.04e-05,"SELECT status -FROM breastCancer -WHERE age <= 640.5;","```sql -SELECT status -FROM breastCancer -WHERE age <= 640.5; -``` - -This SQL query will return all the statuses from the `breastCancer` table where the age is less than or equal to 640.5.",0.3660757542,llama-8,474,0.0,0.5,1.0,0.0,0.04,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) >= 10,Find all the output that have at least 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.52e-05,"SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10;","```sql -SELECT output -FROM heartAttack -WHERE (SELECT COUNT(*) - FROM heartAttack - WHERE heartAttack.output = heartAttack.output) >= 10; -``` - -However, the above SQL query is not efficient as it is using a correlated subquery. A more efficient way to write this query would be to use a `GROUP BY` clause with a `HAVING` clause: - -```sql -SELECT output -FROM heartAttack -GROUP BY output -HAVING COUNT(*) >= 10; -``` - -This query will return all the unique `output` values that have at least 10 records in the `heartAttack` table.",0.6502802372,llama-8,475,1.0191448149907076,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) <= 10,Find all the output that have at most 10 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.02e-05,"SELECT * -FROM heartAttack -WHERE (SELECT COUNT(*) - FROM heartAttack - WHERE heartAttack.output = heartAttack1.output) <= 10;","```sql -SELECT output -FROM heartAttack -WHERE output IN ( - SELECT output - FROM heartAttack - GROUP BY output - HAVING COUNT(output) <= 10 -); -``` - -This SQL query will return all the unique `output` values from the `heartAttack` table that have 10 or fewer records. - -However, if you want to return all the records with at most 10 records in the `heartAttack` table, you can use the following query: - -```sql -SELECT * -FROM heartAttack -WHERE (SELECT COUNT(*) - FROM heartAttack - WHERE heartAttack.output = heartAttack1.output) <= 10; -``` - -This query will return all the records from the `heartAttack` table where the count of records with the same `output` value is 10 or fewer. - -Note: The first query will return unique `output` values, while the second query will return all the records with at most 10 records in the `heartAttack` table.",0.8092243671,llama-8,476,,0.0,0.0,0.0,0.0,0.0,,0.0 -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) >= 5,Find all the chestpaintype that have at least 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.04e-05,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5;","```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) >= 5; -``` - -This SQL query will return all the unique `chestpaintype` values from the `heartAttack` table where the count of records for each `chestpaintype` is 5 or more. The `GROUP BY` clause groups the records by `chestpaintype`, and the `HAVING` clause filters the groups to only include those with a count of 5 or more.",0.4910013676,llama-8,477,1.0080503082123788,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) <= 5,Find all the chestpaintype that have at most 5 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.98e-05,"SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5;","```sql -SELECT chestpaintype -FROM heartAttack -GROUP BY chestpaintype -HAVING COUNT(*) <= 5; -``` - -This SQL query will return all the unique `chestpaintype` values from the `heartAttack` table where the count of records for each `chestpaintype` is less than or equal to 5. The `GROUP BY` clause groups the records by `chestpaintype`, and the `HAVING` clause filters the groups based on the count of records.",0.5703933239,llama-8,478,1.0094754073977918,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) >= 6,Find all the restingelectrocardiographicrresults that have at least 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.04e-05,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) >= 6; -``` - -This SQL query will return all the unique `restingelectrocardiographicrresults` that have at least 6 records in the `heartAttack` table. - -Here's how it works: - -- `GROUP BY restingelectrocardiographicrresults` groups the results by the `restingelectrocardiographicrresults` column. -- `HAVING COUNT(*) >= 6` filters the results to only include groups with at least 6 records. The `COUNT(*)` function counts the number of rows in each group.",0.859821558,llama-8,479,1.021835314544642,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-COUNT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) <= 6,Find all the restingelectrocardiographicrresults that have at most 6 records in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.84e-05,"SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6;","```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -WHERE id IN ( - SELECT id - FROM heartAttack - GROUP BY id - HAVING COUNT(id) <= 6 -); -``` - -However, the above SQL query will not work as expected because the `id` column does not exist in the `heartAttack` table. It seems like you want to group the rows by the `restingelectrocardiographicrresults` column and then filter the groups that have at most 6 records. - -Here's the correct SQL query: - -```sql -SELECT restingelectrocardiographicrresults -FROM heartAttack -GROUP BY restingelectrocardiographicrresults -HAVING COUNT(*) <= 6; -``` - -This query will return all unique `restingelectrocardiographicrresults` that have at most 6 records in the `heartAttack` table.",0.7336683273,llama-8,480,1.0065978277445133,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) >= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at least 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.66e-05,"SELECT fastingbloodsugar, AVG(restingbloodpressure) as average_restingbloodpressure -FROM heartAttack -WHERE restingbloodpressure >= 145.75 -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure >= 145.75 -GROUP BY fastingbloodsugar -HAVING AVG(restingbloodpressure) >= 145.75; -``` - -However, the above SQL query will return all the unique fastingbloodsugar values where the average restingbloodpressure is at least 145.75. - -If you want to get the average restingbloodpressure for each fastingbloodsugar value, you can use the following SQL query: - -```sql -SELECT fastingbloodsugar, AVG(restingbloodpressure) as average_restingbloodpressure -FROM heartAttack -WHERE restingbloodpressure >= 145.75 -GROUP BY fastingbloodsugar; -``` - -This query will return the fastingbloodsugar values and their corresponding average restingbloodpressure values where the average restingbloodpressure is at least 145.75.",0.6147637367,llama-8,481,0.0,0.25,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) <= 145.75,List the fastingbloodsugar which average of restingbloodpressure is at most 145.75 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.52e-05,"SELECT fastingbloodsugar, AVG(restingbloodpressure) as avg_restingbloodpressure -FROM heartAttack -WHERE restingbloodpressure <= 145.75 -GROUP BY fastingbloodsugar;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 145.75 -GROUP BY fastingbloodsugar; -``` - -However, the above SQL query will return all unique fastingbloodsugar values where the average restingbloodpressure is at most 145.75. - -If you want to get the average restingbloodpressure for each fastingbloodsugar, you should use the AVG function and group by fastingbloodsugar: - -```sql -SELECT fastingbloodsugar, AVG(restingbloodpressure) as avg_restingbloodpressure -FROM heartAttack -WHERE restingbloodpressure <= 145.75 -GROUP BY fastingbloodsugar; -``` - -This query will return the fastingbloodsugar and the average restingbloodpressure for each fastingbloodsugar where the average restingbloodpressure is at most 145.75.",0.7195122242,llama-8,482,0.0,0.25,1.0,0.0,0.5,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001414,"SELECT fastingbloodsugar -FROM ( - SELECT fastingbloodsugar, - SUM(restingbloodpressure) OVER () AS total_restingbloodpressure, - SUM(restingbloodpressure) OVER (PARTITION BY fastingbloodsugar) AS row_restingbloodpressure - FROM heartAttack -) AS subquery -WHERE row_restingbloodpressure >= 1343.5;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure + (SELECT SUM(restingbloodpressure) FROM heartAttack) >= 1343.5; -``` - -However, the above SQL query will not work as expected because the subquery will return the total sum of restingbloodpressure for all rows in the table, and then the query will try to find rows where the sum of restingbloodpressure for each row plus this total is greater than or equal to 1343.5. This is not what we want. - -Instead, we want to find the rows where the sum of restingbloodpressure for each row is greater than or equal to 1343.5. We can do this by using a subquery to calculate the sum of restingbloodpressure for each row, and then selecting the fastingbloodsugar from the rows where this sum is greater than or equal to 1343.5. - -Here is the correct SQL query: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure + (SELECT SUM(restingbloodpressure) - restingbloodpressure FROM heartAttack) >= 1343.5; -``` - -However, this query is still not correct because it will return the same result as the previous query. - -To get the correct result, we need to use a window function to calculate the sum of restingbloodpressure for each row, and then select the fastingbloodsugar from the rows where this sum is greater than or equal to 1343.5. - -Here is the correct SQL query: - -```sql -SELECT fastingbloodsugar -FROM ( - SELECT fastingbloodsugar, - SUM(restingbloodpressure) OVER () AS total_restingbloodpressure, - SUM(restingbloodpressure) OVER (PARTITION BY fastingbloodsugar) AS row_restingbloodpressure - FROM heartAttack -) AS subquery -WHERE row_restingbloodpressure >= 1343.5; -``` - -This query will first calculate the sum of restingbloodpressure for each row and for all rows, and then select the fastingbloodsugar from the rows where the sum of restingbloodpressure for each row is greater than or equal to 1343.5.",1.7572376728,llama-8,483,0.0,1.0,1.0,0.0,0.056,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the fastingbloodsugar which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",9.98e-05,"SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 1343.5 - (SELECT SUM(restingbloodpressure) FROM heartAttack WHERE restingbloodpressure > 1343.5);","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure + (SELECT SUM(restingbloodpressure) FROM heartAttack) <= 1343.5; -``` - -However, the above SQL query will not give the correct result because the subquery is summing up all the restingbloodpressure values in the table, not just the ones that match the condition. - -A more accurate query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= (SELECT SUM(restingbloodpressure) FROM heartAttack) - 1343.5; -``` - -But this query will still not give the correct result because it's not considering the condition that the sum of restingbloodpressure should be at most 1343.5. - -A more accurate query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE restingbloodpressure <= 1343.5 - (SELECT SUM(restingbloodpressure) FROM heartAttack WHERE restingbloodpressure > 1343.5); -``` - -This query will give the correct result because it's considering the condition that the sum of restingbloodpressure should be at most 1343.5.",0.7074968815,llama-8,484,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) >= 59.17,List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.86e-05,"SELECT fastingbloodsugar -FROM heartAttack -WHERE age / 2.0 >= 59.17;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age / 2.0 >= 59.17; -``` - -This SQL query will return the `fastingbloodsugar` values from the `heartAttack` table where the average of the `age` is at least 59.17. The `/ 2.0` is used to ensure that the division is done as a floating point operation, not an integer division.",0.5148341656,llama-8,485,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) <= 59.17,List the fastingbloodsugar which average of age is at most 59.17 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.22e-05,"SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= 59.17;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= 59.17; -``` - -This SQL query will return the `fastingbloodsugar` values from the `heartAttack` table where the `age` is less than or equal to 59.17.",0.3987159729,llama-8,486,0.0,0.5,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) >= 561.0,List the fastingbloodsugar which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0004598,"SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) FROM heartAttack) >= 561.0; -``` - -However, the above SQL query will not work as expected because the subquery will return the total sum of ages in the `heartAttack` table, and then the query will try to add the age of each row to this total sum. This will result in a very large number, and the query will likely return all rows in the table. - -If you want to get the rows where the sum of ages is at least 561.0, you should use a self-join or a subquery with a GROUP BY clause. However, based on the given question, it seems like you want to get the rows where the age of each row is at least 561.0 when added to the sum of ages of all other rows. - -Here's a more accurate SQL query: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - age FROM heartAttack) >= 561.0; -``` - -This query will subtract the age of each row from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query will still not work as expected because the subquery will return a different value for each row in the table, and the query will try to compare this value to the sum of ages of all other rows. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - age FROM heartAttack WHERE age != heartAttack.age) >= 561.0; -``` - -This query will subtract the age of each row from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack WHERE age != heartAttack.age) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0; -``` - -This query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. - -However,",4.0869271755,llama-8,487,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) <= 561.0,List the fastingbloodsugar which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.56e-05,"SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= (SELECT 561.0 - SUM(age) FROM heartAttack);","```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age + (SELECT SUM(age) FROM heartAttack) <= 561.0; -``` - -However, the above SQL query will not give the desired result because it is trying to sum the age of all rows in the table and then compare it with the age of the current row. - -A more accurate SQL query would be: - -```sql -SELECT fastingbloodsugar -FROM heartAttack -WHERE age <= (SELECT 561.0 - SUM(age) FROM heartAttack); -``` - -This query will sum the age of all rows in the table and then subtract that sum from 561.0 to get the maximum age that can be added to the sum of ages of all rows in the table. It then selects the rows from the table where the age is less than or equal to this maximum age.",0.6488983631,llama-8,488,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) >= 131.31,List the sex which average of restingbloodpressure is at least 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.76e-05,"SELECT sex -FROM heartAttack -WHERE restingbloodpressure >= 131.31 -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31;","```sql -SELECT sex -FROM heartAttack -WHERE restingbloodpressure >= 131.31 -GROUP BY sex -HAVING AVG(restingbloodpressure) >= 131.31; -``` - -This SQL query will return the sex(es) where the average resting blood pressure is at least 131.31. - -Here's how it works: - -- `SELECT sex`: Selects the 'sex' column from the 'heartAttack' table. -- `FROM heartAttack`: Specifies the table to query. -- `WHERE restingbloodpressure >= 131.31`: Filters the results to only include rows where the resting blood pressure is at least 131.31. -- `GROUP BY sex`: Groups the results by the 'sex' column. -- `HAVING AVG(restingbloodpressure) >= 131.31`: Filters the grouped results to only include groups where the average resting blood pressure is at least 131.31.",0.8597061634,llama-8,489,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) <= 131.31,List the sex which average of restingbloodpressure is at most 131.31 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.88e-05,"SELECT sex -FROM heartAttack -WHERE restingbloodpressure <= 131.31 -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31;","```sql -SELECT sex -FROM heartAttack -WHERE restingbloodpressure <= 131.31 -GROUP BY sex -HAVING AVG(restingbloodpressure) <= 131.31; -``` - -This SQL query will return the sex(es) where the average resting blood pressure is at most 131.31. - -Here's how it works: - -- `SELECT sex FROM heartAttack`: This selects the 'sex' column from the 'heartAttack' table. -- `WHERE restingbloodpressure <= 131.31`: This filters the results to only include rows where the 'restingbloodpressure' is less than or equal to 131.31. -- `GROUP BY sex`: This groups the results by the 'sex' column. -- `HAVING AVG(restingbloodpressure) <= 131.31`: This filters the grouped results to only include groups where the average 'restingbloodpressure' is less than or equal to 131.31.",0.7051517963,llama-8,490,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) >= 1343.5,List the sex which summation of restingbloodpressure is at least 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.96e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) >= 1343.5; -``` - -This SQL query will return the sex of patients whose total resting blood pressure is at least 1343.5. The `GROUP BY` clause groups the results by sex, and the `HAVING` clause filters the results to only include groups where the sum of resting blood pressure is at least 1343.5.",0.5121040344,llama-8,491,1.0373969084534156,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) <= 1343.5,List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.14e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(restingbloodpressure) <= 1343.5; -``` - -This SQL query will return the sex(es) where the sum of resting blood pressure is at most 1343.5 in the `heartAttack` table. The `GROUP BY` clause groups the rows by sex, and the `HAVING` clause filters the groups to only include those where the sum of resting blood pressure is at most 1343.5.",0.5158247948,llama-8,492,1.0421133584183788,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) >= 58.78,List the sex which average of age is at least 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.9e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) >= 58.78; -``` - -This SQL query will return the sex of individuals in the `heartAttack` table where the average age is at least 58.78. The `GROUP BY` clause groups the rows by the `sex` column, and the `HAVING` clause filters the groups to only include those where the average age is at least 58.78.",0.6657927036,llama-8,493,1.0056642816163415,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-AVG,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) <= 58.78,List the sex which average of age is at most 58.78 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.96e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING AVG(age) <= 58.78; -``` - -This SQL query will return the sex(es) where the average age is at most 58.78 in the `heartAttack` table. The `GROUP BY` clause groups the rows by the `sex` column, and the `HAVING` clause filters the groups to only include those where the average age is less than or equal to 58.78.",0.4270637035,llama-8,494,1.0403002015281066,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) >= 561.0,List the sex which summation of age is at least 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.02e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) >= 561.0; -``` - -This SQL query will return the sex of individuals in the `heartAttack` table where the sum of their ages is at least 561.0. The `GROUP BY` clause groups the rows by the `sex` column, and the `HAVING` clause filters the groups to only include those where the sum of `age` is at least 561.0.",0.5881409645,llama-8,495,1.0001427493716812,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,HAVING,HAVING-AGG-SUM,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) <= 561.0,List the sex which summation of age is at most 561.0 in table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.98e-05,"SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0;","```sql -SELECT sex -FROM heartAttack -GROUP BY sex -HAVING SUM(age) <= 561.0; -``` - -This SQL query works as follows: - -- `SELECT sex`: This line selects the `sex` column from the `heartAttack` table. -- `FROM heartAttack`: This line specifies the table from which to select the data. -- `GROUP BY sex`: This line groups the data by the `sex` column. This is necessary because the `HAVING` clause is used to filter the groups. -- `HAVING SUM(age) <= 561.0`: This line filters the groups to only include those where the sum of the `age` column is less than or equal to 561.0.",0.5700538158,llama-8,496,0.9981834348903499,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `hormonaltherapy`) = (SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`),What are the menopausalstatus with all the hormonaltherapy in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.26e-05,"SELECT menopausalstatus -FROM breastCancer -WHERE hormonaltherapy = 'yes';","```sql -SELECT menopausalstatus -FROM breastCancer -WHERE hormonaltherapy = 'yes'; -``` - -This SQL query will return the menopausal status of patients who have undergone hormonal therapy. The `WHERE` clause filters the results to only include rows where the `hormonaltherapy` column is 'yes'.",0.5556733608,llama-8,497,0.0,1.0,1.0,0.0,0.333,0.5,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the menopausalstatus with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6e-05,"SELECT DISTINCT menopausalstatus -FROM breastCancer;","```sql -SELECT DISTINCT menopausalstatus -FROM breastCancer; -``` - -This SQL query will return all the unique menopausalstatus values from the `breastCancer` table. The `DISTINCT` keyword is used to retrieve only unique values.",0.4222910404,llama-8,498,0.9282659163479382,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,many-to-many-generator,many-to-many,SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`),What are the hormonaltherapy with all the status in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.84e-05,"SELECT hormonaltherapy, status -FROM breastCancer;","```sql -SELECT hormonaltherapy, status -FROM breastCancer; -``` - -This SQL query will fetch all the rows from the `breastCancer` table and return the `hormonaltherapy` and `status` columns.",0.8111269474,llama-8,499,0.0,0.5,1.0,0.0,0.08,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `chestpaintype`) = (SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`),What are the sex with all the chestpaintype in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.24e-05,"SELECT DISTINCT sex -FROM heartAttack -WHERE chestpaintype IS NOT NULL;","```sql -SELECT DISTINCT sex -FROM heartAttack -WHERE chestpaintype IS NOT NULL; -``` - -This SQL query will return all the unique values of the `sex` column from the `heartAttack` table where the `chestpaintype` is not null. The `DISTINCT` keyword is used to return only unique values.",0.6000585556,llama-8,500,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the sex with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.9e-05,"SELECT DISTINCT sex -FROM heartAttack;","```sql -SELECT DISTINCT sex -FROM heartAttack -WHERE fastingbloodsugar = 'all'; -``` - -This SQL query will return the distinct values of the `sex` column from the `heartAttack` table where the `fastingbloodsugar` is 'all'. - -However, if you want to fetch all the sex with all the fastingbloodsugar, you should remove the 'all' condition from the query. - -```sql -SELECT DISTINCT sex -FROM heartAttack; -```",0.6967382431,llama-8,501,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the sex with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.3e-05,"SELECT DISTINCT sex -FROM heartAttack -WHERE restingelectrocardiographicrresults IS NOT NULL;","```sql -SELECT DISTINCT sex -FROM heartAttack -WHERE restingelectrocardiographicrresults IS NOT NULL; -``` - -This SQL query will return the distinct values of the `sex` column from the `heartAttack` table where the `restingelectrocardiographicrresults` column is not null.",0.3646969795,llama-8,502,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the sex with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.74e-05,"SELECT DISTINCT sex -FROM heartAttack;","```sql -SELECT DISTINCT sex -FROM heartAttack; -``` - -This SQL query will return a list of unique sex values from the `heartAttack` table. The `DISTINCT` keyword is used to remove duplicate values.",0.3723819256,llama-8,503,1.0018447076231287,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`),What are the chestpaintype with all the fastingbloodsugar in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",8.64e-05,"SELECT chestpaintype, fastingbloodsugar -FROM heartAttack -WHERE fastingbloodsugar IS NOT NULL;","```sql -SELECT chestpaintype -FROM heartAttack -WHERE fastingbloodsugar IS NOT NULL; -``` - -This SQL query will return all the unique chestpaintype values from the `heartAttack` table where the `fastingbloodsugar` column is not null. If you want to get all the rows with the corresponding chestpaintype, you can remove the `SELECT DISTINCT` part and use `SELECT *` instead. - -However, if you want to get all the chestpaintype values with all the fastingbloodsugar values, you can use the following query: - -```sql -SELECT chestpaintype, fastingbloodsugar -FROM heartAttack -WHERE fastingbloodsugar IS NOT NULL; -``` - -This query will return all the rows from the `heartAttack` table where the `fastingbloodsugar` column is not null, along with the corresponding `chestpaintype` values.",0.9362869263,llama-8,504,0.0,0.167,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the chestpaintype with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.18e-05,"SELECT chestpaintype, output -FROM heartAttack;","```sql -SELECT chestpaintype -FROM heartAttack; -``` - -This SQL query will return all the unique chestpaintype values from the ""heartAttack"" table. If you want to return all the rows with their corresponding chestpaintype, you can use the following query: - -```sql -SELECT * -FROM heartAttack; -``` - -However, if you want to return all the chestpaintype values along with the corresponding output in the ""heartAttack"" table, you can use the following query: - -```sql -SELECT chestpaintype, output -FROM heartAttack; -```",0.6463878155,llama-8,505,0.0,0.5,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`),What are the fastingbloodsugar with all the restingelectrocardiographicrresults in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.34e-05,"SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack;","```sql -SELECT fastingbloodsugar, restingelectrocardiographicrresults -FROM heartAttack; -``` - -This SQL query will return all the rows from the `heartAttack` table, including the `fastingbloodsugar` and `restingelectrocardiographicrresults` columns.",0.4119186401,llama-8,506,0.0,0.2,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the fastingbloodsugar with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.72e-05,"SELECT fastingbloodsugar -FROM heartAttack;","```sql -SELECT fastingbloodsugar -FROM heartAttack; -``` - -This SQL query will fetch all the values in the `fastingbloodsugar` column from the `heartAttack` table.",0.4386198521,llama-8,507,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,many-to-many-generator,many-to-many,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`),What are the restingelectrocardiographicrresults with all the output in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.84e-05,"SELECT - restingelectrocardiographicrresults AS ""restingelectrocardiographicrresults"" -FROM - heartAttack;","```sql -SELECT - restingelectrocardiographicrresults AS ""restingelectrocardiographicrresults"" -FROM - heartAttack; -``` - -This SQL query will fetch all the rows from the `heartAttack` table and return the `restingelectrocardiographicrresults` column. The `AS` keyword is used to give an alias to the column, which in this case is the same as the column name.",0.5584824085,llama-8,508,0.0,0.667,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` ASC,Show all data ordered by hormonaltherapy in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.94e-05,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC;","```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy ASC; -``` - -This SQL query will fetch all data from the `breastCancer` table and order it in ascending order based on the `hormonaltherapy` column.",0.4697980881,llama-8,509,1.0656682785504414,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` DESC,Show all data ordered by hormonaltherapy in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.94e-05,"SELECT * -FROM breastCancer -ORDER BY hormonaltherapy DESC;","```sql -SELECT * -FROM breastCancer -ORDER BY hormonaltherapy DESC; -``` - -This SQL query will fetch all data from the `breastCancer` table and order it in descending order based on the `hormonaltherapy` column.",0.3744208813,llama-8,510,1.0007246814930646,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` ASC,Show all data ordered by status in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.84e-05,"SELECT * -FROM breastCancer -ORDER BY status ASC;","```sql -SELECT * -FROM breastCancer -ORDER BY status ASC; -``` - -This SQL query will fetch all data from the `breastCancer` table and order the results by the `status` column in ascending order.",0.4250679016,llama-8,511,1.0060951105675189,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `breastCancer` ORDER BY `status` DESC,Show all data ordered by status in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.08e-05,"SELECT * -FROM breastCancer -ORDER BY status DESC;","```sql -SELECT * -FROM breastCancer -ORDER BY status DESC; -``` - -This SQL query will fetch all data from the `breastCancer` table and order it by the `status` column in descending order. The `DESC` keyword is used to specify the descending order.",0.4010620117,llama-8,512,1.0437083626050399,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` ASC,Project the tumorgrade ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.82e-05,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC;","```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade ASC; -``` - -This SQL query will fetch the `tumorgrade` column from the `breastCancer` table, ordered in ascending order.",0.5060660839,llama-8,513,0.9847763514656059,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` DESC,Project the tumorgrade ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.08e-05,"SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC;","```sql -SELECT tumorgrade -FROM breastCancer -ORDER BY tumorgrade DESC; -``` - -This SQL query will fetch the `tumorgrade` column from the `breastCancer` table, ordered in descending order. The `DESC` keyword is used to specify the descending order.",0.5364055634,llama-8,514,1.0365585517400215,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` ASC,Project the patientidentifier ordered in ascending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.8e-05,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC;","```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier ASC; -``` - -This SQL query will fetch the `patientidentifier` column from the `breastCancer` table, ordered in ascending order.",0.3495054245,llama-8,515,1.0020213691692408,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,ORDERBY,ORDERBY-PROJECT,SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` DESC,Project the patientidentifier ordered in descending order for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.8e-05,"SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC;","```sql -SELECT patientidentifier -FROM breastCancer -ORDER BY patientidentifier DESC; -``` - -This SQL query will return the `patientidentifier` column from the `breastCancer` table, ordered in descending order.",0.4825387001,llama-8,516,1.017239214137792,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` ASC,Show all data ordered by numberofmajorvvessels in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels ASC;","```sql -SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels ASC; -``` - -This SQL query will fetch all data from the `heartAttack` table and order it in ascending order based on the `numberofmajorvvessels` column.",0.6473414898,llama-8,517,1.054117902820508,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` DESC,Show all data ordered by numberofmajorvvessels in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels DESC;","```sql -SELECT * -FROM heartAttack -ORDER BY numberofmajorvvessels DESC; -``` - -This SQL code will fetch all data from the `heartAttack` table and order it in descending order based on the `numberofmajorvvessels` column.",0.568156004,llama-8,518,0.9983747647306382,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` ASC,Show all data ordered by restingbloodpressure in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.9e-05,"SELECT * -FROM heartAttack -ORDER BY restingbloodpressure ASC;","```sql -SELECT * -FROM heartAttack -ORDER BY restingbloodpressure ASC; -``` - -This SQL query will fetch all data from the `heartAttack` table and order it in ascending order based on the `restingbloodpressure` column.",0.3720488548,llama-8,519,1.048978737026562,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` DESC,Show all data ordered by restingbloodpressure in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.9e-05,"SELECT * -FROM heartAttack -ORDER BY restingbloodpressure DESC;","```sql -SELECT * -FROM heartAttack -ORDER BY restingbloodpressure DESC; -``` - -This SQL code will fetch all data from the `heartAttack` table and order it in descending order based on the `restingbloodpressure` column.",0.403860569,llama-8,520,1.0002863575224763,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` ASC,Project the restingelectrocardiographicrresults ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.28e-05,"SELECT * -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC;","```sql -SELECT * -FROM heartAttack -ORDER BY restingelectrocardiographicrresults ASC; -``` - -This SQL query will fetch all columns (`*`) from the `heartAttack` table, and order the results in ascending order based on the `restingelectrocardiographicrresults` column.",0.460804224,llama-8,521,0.0,0.048,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` DESC,Project the restingelectrocardiographicrresults ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.38e-05,"SELECT * -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC;","```sql -SELECT * -FROM heartAttack -ORDER BY restingelectrocardiographicrresults DESC; -``` - -This SQL query will project all columns (`*`) from the `heartAttack` table, order the results in descending order based on the `restingelectrocardiographicrresults` column, and return the ordered results.",0.4022448063,llama-8,522,0.0,0.048,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` ASC,Project the sex ordered in ascending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.64e-05,"SELECT sex -FROM heartAttack -ORDER BY sex ASC;","```sql -SELECT sex -FROM heartAttack -ORDER BY sex ASC; -``` - -This SQL query will return the 'sex' column from the 'heartAttack' table, ordered in ascending order.",0.3837151527,llama-8,523,1.0556268544131366,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,ORDERBY,ORDERBY-PROJECT,SELECT `sex` FROM `heartAttack` ORDER BY `sex` DESC,Project the sex ordered in descending order for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.24e-05,"SELECT DISTINCT sex -FROM heartAttack -ORDER BY sex DESC;","```sql -SELECT sex -FROM heartAttack -ORDER BY sex DESC; -``` - -This SQL query will return the 'sex' column from the 'heartAttack' table, ordered in descending order. If there are multiple rows with the same 'sex' value, the order of these rows will be determined by the order in which they appear in the table. - -If you want to remove duplicate 'sex' values and only return each unique 'sex' once, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT sex -FROM heartAttack -ORDER BY sex DESC; -```",0.7531938553,llama-8,524,0.0,1.0,1.0,0.0,0.1,0.0,1.0, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `age` FROM `breastCancer`,Show all age in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.4e-05,"SELECT age -FROM breastCancer;","```sql -SELECT age -FROM breastCancer; -``` - -This SQL query will return all the ages from the `breastCancer` table.",0.4408512115,llama-8,525,1.0100289479404758,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `progesteronereceptor` FROM `breastCancer`,Show all progesteronereceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.88e-05,"SELECT progesteronereceptor -FROM breastCancer -WHERE progesteronereceptor IS NOT NULL;","```sql -SELECT * -FROM breastCancer -WHERE progesteronereceptor IS NOT NULL; -``` - -This SQL query will return all rows from the `breastCancer` table where the `progesteronereceptor` column is not null. If you want to see only the `progesteronereceptor` column, you can modify the query to: - -```sql -SELECT progesteronereceptor -FROM breastCancer -WHERE progesteronereceptor IS NOT NULL; -```",0.6239414215,llama-8,526,1.0392848935336976,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `estrogenreceptor` FROM `breastCancer`,Show all estrogenreceptor in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.58e-05,"SELECT * -FROM breastCancer;","```sql -SELECT * -FROM breastCancer -WHERE estrogenreceptor IS NOT NULL; -``` - -This SQL query will fetch all rows from the `breastCancer` table where the `estrogenreceptor` column is not null. If you want to fetch all rows regardless of whether `estrogenreceptor` is null or not, you can use the following query: - -```sql -SELECT * -FROM breastCancer; -```",0.4892976284,llama-8,527,0.0,0.206,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.88e-05,"SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status -FROM breastCancer;","```sql -SELECT * -FROM breastCancer; -``` - -This SQL query will return all columns (`*`) from the `breastCancer` table. If you want to return only specific columns, you can replace `*` with the column names separated by commas, like this: - -```sql -SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status -FROM breastCancer; -```",0.5033223629,llama-8,528,0.0,0.02,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-SINGLE-COL,SELECT `patientidentifier` FROM `breastCancer`,Show all patientidentifier in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.52e-05,"SELECT patientidentifier -FROM breastCancer;","```sql -SELECT patientidentifier -FROM breastCancer; -``` - -This SQL query will fetch all the `patientidentifier` values from the `breastCancer` table.",0.7385833263,llama-8,529,1.0682096654037943,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-ALL,SELECT * FROM `breastCancer`,Show all the rows in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.58e-05,"SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade -FROM breastCancer;","```sql -SELECT * -FROM breastCancer; -``` - -This SQL query will return all rows from the `breastCancer` table. - -If you want to specify the columns you want to retrieve instead of all columns, you can replace `*` with the column names separated by commas. For example: - -```sql -SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade -FROM breastCancer; -```",0.5529019833,llama-8,530,0.0,1.0,0.608,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,SELECT `status` FROM `breastCancer`,Show all status in the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.88e-05,"SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status -FROM breastCancer;","```sql -SELECT * -FROM breastCancer; -``` - -This SQL query will return all columns (`*`) from the `breastCancer` table. If you want to return only specific columns, you can replace `*` with the column names separated by commas, like this: - -```sql -SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status -FROM breastCancer; -```",0.604878664,llama-8,531,0.0,0.02,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `tumorgrade` FROM `breastCancer`","Show all estrogenreceptor, tumorgrade in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.02e-05,"SELECT - estrogenreceptor, - tumorgrade -FROM - breastCancer;","```sql -SELECT - estrogenreceptor, - tumorgrade -FROM - breastCancer; -``` - -This SQL query will fetch all the rows from the `breastCancer` table and return the `estrogenreceptor` and `tumorgrade` columns.",0.5187695026,llama-8,532,1.0129406922442754,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `hormonaltherapy`, `patientidentifier`, `numberpositivelymphnodes` FROM `breastCancer`","Show all hormonaltherapy, patientidentifier, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.34e-05,"SELECT - hormonaltherapy, - patientidentifier, - numberpositivelymphnodes -FROM - breastCancer;","```sql -SELECT - hormonaltherapy, - patientidentifier, - numberpositivelymphnodes -FROM - breastCancer; -``` - -This SQL query will fetch all the rows from the `breastCancer` table and return the columns `hormonaltherapy`, `patientidentifier`, and `numberpositivelymphnodes`.",0.4576337337,llama-8,533,1.0202078844455815,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, `age` FROM `breastCancer`","Show all numberpositivelymphnodes, patientidentifier, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.44e-05,"SELECT - numberpositivelymphnodes, - patientidentifier, - tumorgrade, - age -FROM - breastCancer;","```sql -SELECT - numberpositivelymphnodes, - patientidentifier, - tumorgrade, - age -FROM - breastCancer; -``` - -This SQL query will fetch all the required columns (`numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, and `age`) from the `breastCancer` table.",0.5334410667,llama-8,534,0.9966893101653226,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, `age` FROM `breastCancer`","Show all estrogenreceptor, status, menopausalstatus, tumorgrade, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.62e-05,"SELECT - estrogenreceptor, - status, - menopausalstatus, - tumorgrade, - age -FROM - breastCancer;","```sql -SELECT - estrogenreceptor, - status, - menopausalstatus, - tumorgrade, - age -FROM - breastCancer; -``` - -This SQL query will fetch all the specified columns (`estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, and `age`) from the `breastCancer` table.",0.5783822536,llama-8,535,1.0274297214305936,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `patientidentifier`, `hormonaltherapy`, `status`, `age`, `menopausalstatus`, `tumorsize` FROM `breastCancer`","Show all patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.24e-05,"SELECT - patientidentifier, - hormonaltherapy, - status, - age, - menopausalstatus, - tumorsize -FROM - breastCancer;","```sql -SELECT - patientidentifier, - hormonaltherapy, - status, - age, - menopausalstatus, - tumorsize -FROM - breastCancer; -``` - -This SQL query will fetch all the specified columns from the `breastCancer` table.",0.4609773159,llama-8,536,1.0134095592649177,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age` FROM `breastCancer`","Show all tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.4e-05,"SELECT - tumorgrade, - progesteronereceptor, - menopausalstatus, - estrogenreceptor, - numberpositivelymphnodes, - status, - age -FROM - breastCancer;","```sql -SELECT - tumorgrade, - progesteronereceptor, - menopausalstatus, - estrogenreceptor, - numberpositivelymphnodes, - status, - age -FROM - breastCancer; -``` - -This SQL query will fetch all the specified columns (`tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age`) from the `breastCancer` table.",0.6528904438,llama-8,537,1.0365460287514559,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, `hormonaltherapy` FROM `breastCancer`","Show all tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.6e-05,"SELECT - tumorgrade, - status, - progesteronereceptor, - estrogenreceptor, - age, - tumorsize, - patientidentifier, - hormonaltherapy -FROM - breastCancer;","```sql -SELECT - tumorgrade, - status, - progesteronereceptor, - estrogenreceptor, - age, - tumorsize, - patientidentifier, - hormonaltherapy -FROM - breastCancer; -``` - -This SQL query will fetch all the specified columns from the `breastCancer` table.",0.5663537979,llama-8,538,1.003734142940476,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,PROJECT,SELECT-RANDOM-COL,"SELECT `tumorsize`, `hormonaltherapy`, `age`, `status`, `tumorgrade`, `menopausalstatus`, `progesteronereceptor`, `estrogenreceptor`, `numberpositivelymphnodes` FROM `breastCancer`","Show all tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes in the table breastCancer","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7e-05,"SELECT - tumorsize, - hormonaltherapy, - age, - status, - tumorgrade, - menopausalstatus, - progesteronereceptor, - estrogenreceptor, - numberpositivelymphnodes -FROM - breastCancer;","```sql -SELECT - tumorsize, - hormonaltherapy, - age, - status, - tumorgrade, - menopausalstatus, - progesteronereceptor, - estrogenreceptor, - numberpositivelymphnodes -FROM - breastCancer; -``` - -This SQL query will fetch all the specified columns from the `breastCancer` table in the database.",0.4610357285,llama-8,539,1.0455813900143522,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingelectrocardiographicrresults` FROM `heartAttack`,Show all restingelectrocardiographicrresults in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.78e-05,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults IS NOT NULL;","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults IS NOT NULL; -``` - -This SQL query will fetch all rows from the `heartAttack` table where the `restingelectrocardiographicrresults` column is not null. The `*` in the `SELECT` statement will return all columns, and the `WHERE` clause will filter the results to only include rows where the specified column is not null.",0.6528551579,llama-8,540,0.0,0.048,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `fastingbloodsugar` FROM `heartAttack`,Show all fastingbloodsugar in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.64e-05,"SELECT fastingbloodsugar -FROM heartAttack;","```sql -SELECT fastingbloodsugar -FROM heartAttack; -``` - -This SQL query will fetch all the values in the `fastingbloodsugar` column from the `heartAttack` table.",0.3964662552,llama-8,541,1.0159272202239356,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `thall` FROM `heartAttack`,Show all thall in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.18e-05,"SELECT * -FROM heartAttack -WHERE thall IS NOT NULL;","```sql -SELECT * -FROM heartAttack -WHERE thall IS NOT NULL; -``` - -This SQL query will fetch all rows from the `heartAttack` table where the value in the `thall` column is not null. The `IS NOT NULL` condition is used to exclude rows with null values in the `thall` column.",0.4396493435,llama-8,542,0.0,0.032,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.46e-05,"SELECT restingbloodpressure -FROM heartAttack;","```sql -SELECT restingbloodpressure -FROM heartAttack; -``` - -This SQL query will fetch all the resting blood pressure values from the ""heartAttack"" table.",0.4539849758,llama-8,543,1.0441633937181696,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-SINGLE-COL,SELECT `numberofmajorvvessels` FROM `heartAttack`,Show all numberofmajorvvessels in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.74e-05,"SELECT numberofmajorvvessels -FROM heartAttack;","```sql -SELECT numberofmajorvvessels -FROM heartAttack; -``` - -This SQL query will fetch all the values in the `numberofmajorvvessels` column from the `heartAttack` table.",0.4106688499,llama-8,544,1.0134227807389595,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-ALL,SELECT * FROM `heartAttack`,Show all the rows in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.92e-05,"SELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output -FROM heartAttack;","```sql -SELECT * -FROM heartAttack; -``` - -This SQL query will return all rows from the `heartAttack` table. - -If you want to specify the columns you want to retrieve, you can replace `*` with the column names separated by commas: - -```sql -SELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output -FROM heartAttack; -```",0.4860463142,llama-8,545,1.018268256558687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,SELECT `restingbloodpressure` FROM `heartAttack`,Show all restingbloodpressure in the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.46e-05,"SELECT restingbloodpressure -FROM heartAttack;","```sql -SELECT restingbloodpressure -FROM heartAttack; -``` - -This SQL query will fetch all the resting blood pressure values from the ""heartAttack"" table.",0.4024453163,llama-8,546,1.0384692797840025,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `thall` FROM `heartAttack`","Show all restingbloodpressure, thall in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.82e-05,"SELECT restingbloodpressure, thall -FROM heartAttack;","```sql -SELECT restingbloodpressure, thall -FROM heartAttack; -``` - -This SQL query will fetch all the rows from the `heartAttack` table and return the `restingbloodpressure` and `thall` columns.",0.3038802147,llama-8,547,1.0195699959089255,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingbloodpressure`, `sex`, `fastingbloodsugar` FROM `heartAttack`","Show all restingbloodpressure, sex, fastingbloodsugar in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.22e-05,"SELECT - restingbloodpressure, - sex, - fastingbloodsugar -FROM - heartAttack;","```sql -SELECT - restingbloodpressure, - sex, - fastingbloodsugar -FROM - heartAttack; -``` - -This SQL query will fetch all the rows from the `heartAttack` table and return the `restingbloodpressure`, `sex`, and `fastingbloodsugar` columns.",0.542992115,llama-8,548,1.017028760006016,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `thall`, `sex`, `numberofmajorvvessels`, `age` FROM `heartAttack`","Show all thall, sex, numberofmajorvvessels, age in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.24e-05,"SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack;","```sql -SELECT thall, sex, numberofmajorvvessels, age -FROM heartAttack; -``` - -This SQL query will fetch all the rows from the `heartAttack` table and return the columns `thall`, `sex`, `numberofmajorvvessels`, and `age`.",0.5136921406,llama-8,549,1.0297769519169104,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, `numberofmajorvvessels` FROM `heartAttack`","Show all restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.56e-05,"SELECT - restingelectrocardiographicrresults, - restingbloodpressure, - thall, - fastingbloodsugar, - numberofmajorvvessels -FROM - heartAttack;","```sql -SELECT - restingelectrocardiographicrresults, - restingbloodpressure, - thall, - fastingbloodsugar, - numberofmajorvvessels -FROM - heartAttack; -``` - -This SQL query will fetch all the specified columns from the `heartAttack` table.",0.34293437,llama-8,550,1.0031908626087316,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg` FROM `heartAttack`","Show all sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.14e-05,"SELECT - sex, - chestpaintype, - fastingbloodsugar, - age, - numberofmajorvvessels, - cholestoralinmg -FROM - heartAttack;","```sql -SELECT - sex, - chestpaintype, - fastingbloodsugar, - age, - numberofmajorvvessels, - cholestoralinmg -FROM - heartAttack; -``` - -This SQL query will fetch all the specified columns (`sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg`) from the `heartAttack` table.",0.4385790825,llama-8,551,0.9964422397603954,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `restingbloodpressure`, `age`, `fastingbloodsugar`, `sex`, `cholestoralinmg`, `restingelectrocardiographicrresults` FROM `heartAttack`","Show all numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.9e-05,"SELECT - numberofmajorvvessels, - restingbloodpressure, - age, - fastingbloodsugar, - sex, - cholestoralinmg, - restingelectrocardiographicrresults -FROM - heartAttack;","```sql -SELECT - numberofmajorvvessels, - restingbloodpressure, - age, - fastingbloodsugar, - sex, - cholestoralinmg, - restingelectrocardiographicrresults -FROM - heartAttack; -``` - -This SQL query will fetch all the specified columns from the `heartAttack` table.",0.4339239597,llama-8,552,0.9960954221044725,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, `sex` FROM `heartAttack`","Show all numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.08e-05,"SELECT - numberofmajorvvessels, - chestpaintype, - restingelectrocardiographicrresults, - output, - fastingbloodsugar, - restingbloodpressure, - cholestoralinmg, - sex -FROM - heartAttack;","```sql -SELECT - numberofmajorvvessels, - chestpaintype, - restingelectrocardiographicrresults, - output, - fastingbloodsugar, - restingbloodpressure, - cholestoralinmg, - sex -FROM - heartAttack; -``` - -This SQL query will fetch all the specified columns from the `heartAttack` table.",0.470510006,llama-8,553,0.998282753454273,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,PROJECT,SELECT-RANDOM-COL,"SELECT `chestpaintype`, `sex`, `fastingbloodsugar`, `restingelectrocardiographicrresults`, `thall`, `numberofmajorvvessels`, `age`, `output`, `restingbloodpressure` FROM `heartAttack`","Show all chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure in the table heartAttack","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",7.06e-05,"SELECT - chestpaintype, - sex, - fastingbloodsugar, - restingelectrocardiographicrresults, - thall, - numberofmajorvvessels, - age, - output, - restingbloodpressure -FROM - heartAttack;","```sql -SELECT - chestpaintype, - sex, - fastingbloodsugar, - restingelectrocardiographicrresults, - thall, - numberofmajorvvessels, - age, - output, - restingbloodpressure -FROM - heartAttack; -``` - -This SQL query will fetch all the specified columns from the `heartAttack` table.",0.4426550865,llama-8,554,1.0008308623777795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` == 'postmenopausal',Show the data of the table breastCancer where menopausalstatus is equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.24e-05,"SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus = 'postmenopausal'; -``` - -This SQL query will fetch all columns (`*`) from the `breastCancer` table where the `menopausalstatus` is equal to `'postmenopausal'`.",0.4349637032,llama-8,555,1.037455933720172,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'premenopausal',Show the data of the table breastCancer where menopausalstatus is different from premenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.26e-05,"SELECT * -FROM breastCancer -WHERE menopausalstatus != 'premenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus != 'premenopausal'; -``` - -This SQL query will fetch all columns (`*`) from the `breastCancer` table where the `menopausalstatus` is not equal to `'premenopausal'`.",0.4181683064,llama-8,556,0.9805436169735042,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'postmenopausal',Show the data of the table breastCancer where menopausalstatus not equal to postmenopausal,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.2e-05,"SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal';","```sql -SELECT * -FROM breastCancer -WHERE menopausalstatus != 'postmenopausal'; -``` - -This SQL query will fetch all the data from the `breastCancer` table where the `menopausalstatus` is not equal to 'postmenopausal'.",0.4338111877,llama-8,557,1.0223282656525123,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` == 'yes',Show the data of the table breastCancer where hormonaltherapy is equal to yes,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy = 'yes'; -``` - -This SQL query will fetch all columns (`*`) from the `breastCancer` table where the value in the `hormonaltherapy` column is equal to `'yes'`.",0.4034585953,llama-8,558,0.9931740186576844,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy is different from no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.08e-05,"SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no'; -``` - -This SQL query will return all columns (`*`) from the `breastCancer` table where the value in the `hormonaltherapy` column is not equal to `'no'`.",0.4695973396,llama-8,559,1.00236238170951,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no',Show the data of the table breastCancer where hormonaltherapy not equal to no,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.08e-05,"SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no';","```sql -SELECT * -FROM breastCancer -WHERE hormonaltherapy != 'no'; -``` - -This SQL query will return all columns (`*`) from the `breastCancer` table where the value in the `hormonaltherapy` column is not equal to `'no'`.",0.3373732567,llama-8,560,1.0069618056858165,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,SELECT * FROM `breastCancer` WHERE `status` == 'recurrenceOrDeath',Show the data of the table breastCancer where status is equal to recurrenceOrDeath,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT * -FROM breastCancer -WHERE status = 'recurrenceOrDeath';","```sql -SELECT * -FROM breastCancer -WHERE status = 'recurrenceOrDeath'; -``` - -This SQL query will fetch all columns (`*`) from the `breastCancer` table where the `status` column is equal to `'recurrenceOrDeath'`.",0.7735404968,llama-8,561,1.0783716046520249,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status is different from aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.08e-05,"SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence';","```sql -SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence'; -``` - -This SQL query will return all columns (`*`) from the `breastCancer` table where the `status` is not equal to `'aliveWithoutRecurrence'`.",0.3635957241,llama-8,562,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-CAT,"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","Show the data of the table breastCancer where status not equal to aliveWithoutRecurrence,","`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.08e-05,"SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence';","```sql -SELECT * -FROM breastCancer -WHERE status != 'aliveWithoutRecurrence'; -``` - -This SQL query will fetch all columns (`*`) from the `breastCancer` table where the `status` is not equal to `'aliveWithoutRecurrence'`.",0.3360695839,llama-8,563,0.0,0.392,1.0,0.0,0.24,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `age` > 32,Show the data of the table breastCancer where age is greater than 32,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.88e-05,"SELECT * -FROM breastCancer -WHERE age > 32;","```sql -SELECT * -FROM breastCancer -WHERE age > 32; -``` - -This SQL query will return all columns (`*`) from the `breastCancer` table where the `age` is greater than 32.",0.39716959,llama-8,564,1.0099072598368082,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SELECT,WHERE-NUM,SELECT * FROM `breastCancer` WHERE `progesteronereceptor` < 239,Show the data of the table breastCancer where progesteronereceptor is less than 239,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.2e-05,"SELECT * -FROM breastCancer -WHERE progesteronereceptor < 239;","```sql -SELECT * -FROM breastCancer -WHERE progesteronereceptor < 239; -``` - -This SQL query will fetch all columns (`*`) from the `breastCancer` table where the value in the `progesteronereceptor` column is less than 239.",0.3880829811,llama-8,565,1.0456432393506687,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` == 'nonAnginalPain',Show the data of the table heartAttack where chestpaintype is equal to nonAnginalPain,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.16e-05,"SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype = 'nonAnginalPain'; -``` - -This SQL query will fetch all columns (`*`) from the `heartAttack` table where the `chestpaintype` is equal to `'nonAnginalPain'`.",0.4277825356,llama-8,566,1.0006551879926229,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'asymptomatic',Show the data of the table heartAttack where chestpaintype is different from asymptomatic,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.02e-05,"SELECT * -FROM heartAttack -WHERE chestpaintype != 'asymptomatic';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype != 'asymptomatic'; -``` - -This SQL query will fetch all the data from the `heartAttack` table where the `chestpaintype` is not equal to 'asymptomatic'.",0.3682565689,llama-8,567,1.0209129903199767,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'typicalAngina',Show the data of the table heartAttack where chestpaintype not equal to typicalAngina,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.1e-05,"SELECT * -FROM heartAttack -WHERE chestpaintype != 'typicalAngina';","```sql -SELECT * -FROM heartAttack -WHERE chestpaintype != 'typicalAngina'; -``` - -This SQL query will return all columns (`*`) from the `heartAttack` table where the `chestpaintype` is not equal to `'typicalAngina'`.",0.471401453,llama-8,568,0.9992996266218429,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` == 'leftVentricularHypertrophy',Show the data of the table heartAttack where restingelectrocardiographicrresults is equal to leftVentricularHypertrophy,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.62e-05,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'Left Ventricular Hypertrophy';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults = 'Left Ventricular Hypertrophy'; -``` - -This SQL query will fetch all columns (`*`) from the `heartAttack` table where the `restingelectrocardiographicrresults` column is equal to `'Left Ventricular Hypertrophy'`.",0.4676675797,llama-8,569,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'normal',Show the data of the table heartAttack where restingelectrocardiographicrresults is different from normal,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.3e-05,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'normal';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'normal'; -``` - -This SQL query will fetch all the data from the `heartAttack` table where the value in the `restingelectrocardiographicrresults` column is not equal to 'normal'.",0.3699204922,llama-8,570,1.0020039036518384,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'STTWaveAbnormality',Show the data of the table heartAttack where restingelectrocardiographicrresults not equal to STTWaveAbnormality,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.66e-05,"SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'STTWaveAbnormality';","```sql -SELECT * -FROM heartAttack -WHERE restingelectrocardiographicrresults != 'STTWaveAbnormality'; -``` - -This SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `restingelectrocardiographicrresults` column is not equal to `'STTWaveAbnormality'`.",0.4220144749,llama-8,571,1.0007265476502911,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` == 'noHeartAttack',Show the data of the table heartAttack where output is equal to noHeartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.94e-05,"SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack';","```sql -SELECT * -FROM heartAttack -WHERE output = 'noHeartAttack'; -``` - -This SQL query will return all columns (`*`) from the `heartAttack` table where the `output` column is equal to `'noHeartAttack'`.",0.3743729591,llama-8,572,0.9931658156845701,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output is different from heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",0.0001046,"SELECT ha.* -FROM heartAttack ha -JOIN breastCancer bc ON ha.age = bc.age -WHERE ha.output != bc.status;","```sql -SELECT * -FROM heartAttack -WHERE output != (SELECT output FROM heartAttack); -``` - -This SQL query will return all rows from the `heartAttack` table where the `output` value is different from any value in the `output` column. - -However, if you want to compare the `output` column with itself, it's likely that you want to find rows where the `output` value is different from the default or expected value. In that case, you would need to know what the default or expected value is. - -If you want to compare the `output` column with the `output` column of another table, you would need to join the two tables. However, based on the provided schema, it seems like you want to compare the `output` column with itself, so the above query should work. - -If you want to compare the `output` column with the `output` column of another table, you would need to join the two tables like this: - -```sql -SELECT ha.* -FROM heartAttack ha -JOIN breastCancer bc ON ha.age = bc.age -WHERE ha.output != bc.status; -``` - -This query will return all rows from the `heartAttack` table where the `output` value is different from the `status` value in the `breastCancer` table, based on matching `age` values.",1.4234311581,llama-8,573,0.0,0.818,0.692,0.0,0.8,0.6,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-CAT,SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack',Show the data of the table heartAttack where output not equal to heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.96e-05,"SELECT * -FROM heartAttack -WHERE output != 'heartAttack';","```sql -SELECT * -FROM heartAttack -WHERE output != 'heartAttack'; -``` - -This SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `output` column is not equal to `'heartAttack'`.",0.3806335926,llama-8,574,1.0061647335178863,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `numberofmajorvvessels` > 2,Show the data of the table heartAttack where numberofmajorvvessels is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.1e-05,"SELECT * -FROM heartAttack -WHERE numberofmajorvvessels > 2;","```sql -SELECT * -FROM heartAttack -WHERE numberofmajorvvessels > 2; -``` - -This SQL query will fetch all columns (`*`) from the `heartAttack` table where the `numberofmajorvvessels` is greater than 2.",0.4395127296,llama-8,575,1.0294277194274282,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` > 197,Show the data of the table heartAttack where cholestoralinmg is greater than 197,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.12e-05,"SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197;","```sql -SELECT * -FROM heartAttack -WHERE cholestoralinmg > 197; -``` - -This SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `cholestoralinmg` column is greater than 197.",0.4078845978,llama-8,576,1.0080355950079805,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `cholestoralinmg` < 211,Show the data of the table heartAttack where cholestoralinmg is less than 211,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.12e-05,"SELECT * -FROM heartAttack -WHERE cholestoralinmg < 211;","```sql -SELECT * -FROM heartAttack -WHERE cholestoralinmg < 211; -``` - -This SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `cholestoralinmg` column is less than 211.",0.4237482548,llama-8,577,1.0373520153583322,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SELECT,WHERE-NUM,SELECT * FROM `heartAttack` WHERE `thall` > 2,Show the data of the table heartAttack where thall is greater than 2,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.94e-05,"SELECT * -FROM heartAttack -WHERE thall > 2;","```sql -SELECT * -FROM heartAttack -WHERE thall > 2; -``` - -This SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `thall` column is greater than 2.",0.4895353317,llama-8,578,1.038183949025841,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `menopausalstatus`) FROM `breastCancer`,How many different menopausalstatus are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.28e-05,"SELECT COUNT(DISTINCT menopausalstatus) -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT menopausalstatus) -FROM breastCancer; -``` - -This SQL query will return the number of different menopausal statuses in the `breastCancer` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `menopausalstatus` column.",0.42324543,llama-8,579,1.0123386680245385,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`,How many different hormonaltherapy are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.16e-05,"SELECT COUNT(DISTINCT hormonaltherapy) -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT hormonaltherapy) -FROM breastCancer; -``` - -This SQL query will return the number of different hormonal therapies in the `breastCancer` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `hormonaltherapy` column.",0.4786617756,llama-8,580,1.0219377102365088,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `status`) FROM `breastCancer`,How many different status are in table breastCancer?,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.04e-05,"SELECT COUNT(DISTINCT status) -FROM breastCancer;","```sql -SELECT COUNT(DISTINCT status) -FROM breastCancer; -``` - -This SQL query will return the number of different statuses in the `breastCancer` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `status` column.",0.4734244347,llama-8,581,1.008857633244011,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`progesteronereceptor`) FROM `breastCancer`,Find the maximum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.78e-05,"SELECT MAX(progesteronereceptor) -FROM breastCancer;","```sql -SELECT MAX(progesteronereceptor) -FROM breastCancer; -``` - -This SQL query will return the maximum value of `progesteronereceptor` from the `breastCancer` table.",0.3209240437,llama-8,582,1.0408958524232705,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`progesteronereceptor`) FROM `breastCancer`,Find the minimum progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.78e-05,"SELECT MIN(progesteronereceptor) -FROM breastCancer;","```sql -SELECT MIN(progesteronereceptor) -FROM breastCancer; -``` - -This SQL query will return the minimum value of `progesteronereceptor` from the `breastCancer` table.",0.3186867237,llama-8,583,0.9983549691654003,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`progesteronereceptor`) FROM `breastCancer`,Find the average progesteronereceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.78e-05,"SELECT AVG(progesteronereceptor) -FROM breastCancer;","```sql -SELECT AVG(progesteronereceptor) -FROM breastCancer; -``` - -This SQL query will return the average value of `progesteronereceptor` from the `breastCancer` table.",0.3461146355,llama-8,584,1.0025698574894577,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`estrogenreceptor`) FROM `breastCancer`,Find the maximum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.74e-05,"SELECT MAX(estrogenreceptor) -FROM breastCancer;","```sql -SELECT MAX(estrogenreceptor) -FROM breastCancer; -``` - -This SQL query will return the maximum value of the `estrogenreceptor` column in the `breastCancer` table.",0.3398263454,llama-8,585,1.0281717026660628,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`estrogenreceptor`) FROM `breastCancer`,Find the minimum estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.74e-05,"SELECT MIN(estrogenreceptor) -FROM breastCancer;","```sql -SELECT MIN(estrogenreceptor) -FROM breastCancer; -``` - -This SQL query will return the minimum value of the `estrogenreceptor` column in the `breastCancer` table.",0.3683507442,llama-8,586,1.0136078680385174,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,breastCancer,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`estrogenreceptor`) FROM `breastCancer`,Find the average estrogenreceptor for the table breastCancer,"`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.74e-05,"SELECT AVG(estrogenreceptor) -FROM breastCancer;","```sql -SELECT AVG(estrogenreceptor) -FROM breastCancer; -``` - -This SQL query will return the average value of the `estrogenreceptor` column in the `breastCancer` table.",0.379099369,llama-8,587,1.010882873194847,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `sex`) FROM `heartAttack`,How many different sex are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.92e-05,"SELECT COUNT(DISTINCT sex) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT sex) -FROM heartAttack; -``` - -This SQL query will return the number of different sexes in the `heartAttack` table. The `COUNT(DISTINCT sex)` function counts the number of unique values in the `sex` column.",0.4111244678,llama-8,588,1.0257974291228003,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`,How many different chestpaintype are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.06e-05,"SELECT COUNT(DISTINCT chestpaintype) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT chestpaintype) -FROM heartAttack; -``` - -This SQL query will return the number of different chestpaintype values in the ""heartAttack"" table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.4050343037,llama-8,589,1.0088960065643144,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`,How many different fastingbloodsugar are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.22e-05,"SELECT COUNT(DISTINCT fastingbloodsugar) -FROM heartAttack;","```sql -SELECT COUNT(DISTINCT fastingbloodsugar) -FROM heartAttack; -``` - -This SQL query will return the number of different fasting blood sugar values in the `heartAttack` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `fastingbloodsugar` column.",0.4067308903,llama-8,590,1.0056725068220524,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`,How many different restingelectrocardiographicrresults are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6.48e-05,"SELECT COUNT(DISTINCT ""restingelectrocardiographicrresults"") -FROM ""heartAttack"";","```sql -SELECT COUNT(DISTINCT ""restingelectrocardiographicrresults"") -FROM ""heartAttack""; -``` - -This SQL query will return the number of different `restingelectrocardiographicrresults` in the `heartAttack` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.3996932507,llama-8,591,1.0452812071637463,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `output`) FROM `heartAttack`,How many different output are in table heartAttack?,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",6e-05,"SELECT COUNT(DISTINCT ""output"") -FROM ""heartAttack"";","```sql -SELECT COUNT(DISTINCT ""output"") -FROM ""heartAttack""; -``` - -This SQL query will return the number of different outputs in the ""heartAttack"" table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the ""output"" column.",0.3409354687,llama-8,592,1.0372506376550654,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`numberofmajorvvessels`) FROM `heartAttack`,Find the maximum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.64e-05,"SELECT MAX(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT MAX(numberofmajorvvessels) -FROM heartAttack; -``` - -This SQL query will return the maximum number of major vessels from the `heartAttack` table.",0.3602468967,llama-8,593,0.9937967863524093,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`numberofmajorvvessels`) FROM `heartAttack`,Find the minimum numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.64e-05,"SELECT MIN(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT MIN(numberofmajorvvessels) -FROM heartAttack; -``` - -This SQL query will return the minimum number of major vessels from the `heartAttack` table.",0.6952559948,llama-8,594,1.0508882941702127,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`numberofmajorvvessels`) FROM `heartAttack`,Find the average numberofmajorvvessels for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.62e-05,"SELECT AVG(numberofmajorvvessels) -FROM heartAttack;","```sql -SELECT AVG(numberofmajorvvessels) -FROM heartAttack; -``` - -This SQL query will return the average number of major vessels for the table `heartAttack`.",0.3542752266,llama-8,595,1.0223868443566981,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`thall`) FROM `heartAttack`,Find the maximum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.56e-05,"SELECT MAX(thall) -FROM heartAttack;","```sql -SELECT MAX(thall) -FROM heartAttack; -``` - -This SQL query will return the maximum value of the 'thall' column in the 'heartAttack' table.",0.3651754856,llama-8,596,1.0013360526935877,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`thall`) FROM `heartAttack`,Find the minimum thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.56e-05,"SELECT MIN(thall) -FROM heartAttack;","```sql -SELECT MIN(thall) -FROM heartAttack; -``` - -This SQL query will return the minimum value of the 'thall' column in the 'heartAttack' table.",0.3512265682,llama-8,597,1.03876040068102,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/medicine/medicine.sqlite,Medical,heartAttack,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`thall`) FROM `heartAttack`,Find the average thall for the table heartAttack,"`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT)","`""heartAttack""` (""age"" INTEGER, ""sex"" TEXT, ""chestpaintype"" TEXT, ""restingbloodpressure"" INTEGER, ""cholestoralinmg"" INTEGER, ""fastingbloodsugar"" TEXT, ""restingelectrocardiographicrresults"" TEXT, ""numberofmajorvvessels"" INTEGER, ""thall"" INTEGER, ""output"" TEXT) -`""breastCancer""` (""patientidentifier"" INTEGER, ""age"" INTEGER, ""menopausalstatus"" TEXT, ""tumorsize"" INTEGER, ""tumorgrade"" INTEGER, ""numberpositivelymphnodes"" INTEGER, ""progesteronereceptor"" INTEGER, ""estrogenreceptor"" INTEGER, ""hormonaltherapy"" TEXT, ""status"" TEXT)",5.56e-05,"SELECT AVG(thall) -FROM heartAttack;","```sql -SELECT AVG(thall) -FROM heartAttack; -``` - -This SQL query will return the average value of the `thall` column in the `heartAttack` table.",0.2945160866,llama-8,598,1.0346369602903174,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `nativecountry` FROM `adultCensus`,Show the different nativecountry in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.14e-05,"SELECT DISTINCT nativecountry -FROM adultCensus;","```sql -SELECT DISTINCT nativecountry -FROM adultCensus; -``` - -This SQL code will fetch all the unique native countries from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.",0.4088759422,llama-8,599,1.0015619049846995,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `sex` FROM `adultCensus`,Show the different sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT DISTINCT sex -FROM adultCensus;","```sql -SELECT DISTINCT sex -FROM adultCensus; -``` - -This SQL query will return the different sex values present in the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.",0.3543894291,llama-8,600,1.007577906659456,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `race` FROM `adultCensus`,Show the different race in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT DISTINCT race -FROM adultCensus;","```sql -SELECT DISTINCT race -FROM adultCensus; -``` - -This SQL query will return all the different races present in the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.",0.4089756012,llama-8,601,1.0221159594293543,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `workclass` FROM `adultCensus`,Show the different workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.16e-05,"SELECT DISTINCT workclass -FROM adultCensus;","```sql -SELECT DISTINCT workclass -FROM adultCensus; -``` - -This SQL query will return all the unique workclass values from the `adultCensus` table. The `DISTINCT` keyword is used to select only unique values.",0.5255410671,llama-8,602,1.0632145294610738,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `income` FROM `adultCensus`,Show the different income in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.2e-05,"SELECT DISTINCT income -FROM adultCensus;","```sql -SELECT DISTINCT income -FROM adultCensus; -``` - -This SQL query will return all the different income values from the `income` column in the `adultCensus` table. The `DISTINCT` keyword is used to remove duplicate values.",0.5542984009,llama-8,603,1.0005750930919484,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `odor` FROM `mushrooms`,Show the different odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.02e-05,"SELECT DISTINCT odor -FROM mushrooms;","```sql -SELECT DISTINCT odor -FROM mushrooms; -``` - -This SQL code will fetch all the different odors from the `mushrooms` table. The `DISTINCT` keyword is used to return only unique values.",0.4100120068,llama-8,604,1.003709055045853,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillspacing` FROM `mushrooms`,Show the different gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.14e-05,"SELECT DISTINCT gillspacing -FROM mushrooms;","```sql -SELECT DISTINCT gillspacing -FROM mushrooms; -``` - -This SQL query will return all the different gillspacing values from the ""mushrooms"" table. The `DISTINCT` keyword is used to return only unique values.",0.4378871918,llama-8,605,1.019155729406081,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capshape` FROM `mushrooms`,Show the different capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.06e-05,"SELECT DISTINCT capshape -FROM mushrooms;","```sql -SELECT DISTINCT capshape -FROM mushrooms; -``` - -This SQL query will return all the unique capshape values from the ""mushrooms"" table. The `DISTINCT` keyword is used to remove duplicate values.",0.3440577984,llama-8,606,1.0163546793935632,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `gillsize` FROM `mushrooms`,Show the different gillsize in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.14e-05,"SELECT DISTINCT gillsize -FROM mushrooms;","```sql -SELECT DISTINCT gillsize -FROM mushrooms; -``` - -This SQL query will return all the different gill sizes present in the ""mushrooms"" table. The `DISTINCT` keyword is used to return only unique values.",0.4245212078,llama-8,607,0.9951416034918072,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,DISTINCT,DISTINCT-SINGLE,SELECT DISTINCT `capsurface` FROM `mushrooms`,Show the different capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.06e-05,"SELECT DISTINCT capsurface -FROM mushrooms;","```sql -SELECT DISTINCT capsurface -FROM mushrooms; -``` - -This SQL query will return the different capsurface values from the ""mushrooms"" table. The `DISTINCT` keyword is used to return only unique values.",0.4191839695,llama-8,608,1.0649149915015614,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `education`, COUNT(*) FROM `adultCensus` GROUP BY `education`","For each education, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.72e-05,"SELECT - education, - COUNT(*) as count -FROM - adultCensus -GROUP BY - education -ORDER BY - count DESC;","```sql -SELECT - e.education, - COUNT(ac.workclass) as count -FROM - adultCensus ac -JOIN - adultCensus e ON ac.workclass = e.workclass -GROUP BY - e.education -ORDER BY - count DESC; -``` - -However, the above SQL query will not give the correct result because it will count the number of rows for each education where the workclass is the same. - -If you want to count the number of rows for each education, you should use the following SQL query: - -```sql -SELECT - education, - COUNT(*) as count -FROM - adultCensus -GROUP BY - education -ORDER BY - count DESC; -``` - -This SQL query will return the count of rows for each education in the `adultCensus` table.",0.8336105347,llama-8,609,1.010082306916791,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `maritalstatus`, COUNT(*) FROM `adultCensus` GROUP BY `maritalstatus`","For each maritalstatus, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.88e-05,"SELECT - maritalstatus, - COUNT(*) as count -FROM - adultCensus -GROUP BY - maritalstatus;","```sql -SELECT - maritalstatus, - COUNT(*) as count -FROM - adultCensus -GROUP BY - maritalstatus; -``` - -This SQL query will return a list of unique marital statuses from the `adultCensus` table along with the count of rows for each marital status. - -Here's a breakdown of the query: - -- `SELECT maritalstatus, COUNT(*) as count`: This selects the `maritalstatus` column and counts the number of rows for each group using the `COUNT(*)` function. The `as count` part gives an alias to the count column, making it easier to read. - -- `FROM adultCensus`: This specifies the table to query, which is `adultCensus`. - -- `GROUP BY maritalstatus`: This groups the rows by the `maritalstatus` column, so that the count is calculated for each unique marital status.",0.7509572506,llama-8,610,0.9968763347873487,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `race`, COUNT(*) FROM `adultCensus` GROUP BY `race`","For each race, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.4e-05,"SELECT - a.race, - COUNT(*) as count -FROM - adultCensus a -GROUP BY - a.race;","```sql -SELECT - a.race, - COUNT(*) as count -FROM - adultCensus a -GROUP BY - a.race; -``` - -This SQL query will return the count of rows for each unique value in the `race` column of the `adultCensus` table. - -Here's how it works: - -- `SELECT a.race, COUNT(*) as count`: This selects the `race` column from the `adultCensus` table and counts the number of rows for each unique value in the `race` column. The `COUNT(*)` function counts the number of rows in each group. - -- `FROM adultCensus a`: This specifies the table to query, which is `adultCensus`. The `a` is an alias for the table, which is used in the `GROUP BY` clause. - -- `GROUP BY a.race`: This groups the rows by the `race` column. The `COUNT(*)` function then counts the number of rows in each group.",0.7028646469,llama-8,611,1.0191058878165917,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `nativecountry`, COUNT(*) FROM `adultCensus` GROUP BY `nativecountry`","For each nativecountry, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.24e-05,"SELECT - nativecountry, - COUNT(*) as count -FROM - adultCensus -GROUP BY - nativecountry;","```sql -SELECT - nativecountry, - COUNT(*) as count -FROM - adultCensus -GROUP BY - nativecountry; -``` - -This SQL query will return a list of native countries from the `adultCensus` table along with the count of rows for each country. The `GROUP BY` clause is used to group the rows by the `nativecountry` column, and the `COUNT(*)` function is used to count the number of rows in each group.",0.5134584904,llama-8,612,1.01189310225542,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-COUNT,"SELECT `workclass`, COUNT(*) FROM `adultCensus` GROUP BY `workclass`","For each workclass, count the number of rows in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.82e-05,"SELECT - workclass, - COUNT(*) as count -FROM - adultCensus -GROUP BY - workclass;","```sql -SELECT - workclass, - COUNT(*) as count -FROM - adultCensus -GROUP BY - workclass; -``` - -This SQL query will return a table with two columns: `workclass` and `count`. The `count` column will contain the number of rows for each unique `workclass` in the `adultCensus` table.",0.4827997684,llama-8,613,1.003482675389105,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `race`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.12e-05,"SELECT - race, - MIN(hoursperweek) AS min_hoursperweek -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - MIN(hoursperweek) AS min_hoursperweek -FROM - adultCensus -GROUP BY - race; -``` - -This SQL query will return the minimum hours per week for each race in the `adultCensus` table. The `GROUP BY` clause groups the results by the `race` column, and the `MIN` function calculates the minimum `hoursperweek` for each group.",0.6374294758,llama-8,614,1.0216355363676637,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `race`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.12e-05,"SELECT - race, - MAX(hoursperweek) AS max_hoursperweek -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - MAX(hoursperweek) AS max_hoursperweek -FROM - adultCensus -GROUP BY - race; -``` - -This SQL query will return the maximum hours per week for each race in the `adultCensus` table. The `GROUP BY` clause groups the rows by the `race` column, and the `MAX` function calculates the maximum `hoursperweek` for each group.",0.5381920338,llama-8,615,1.017608338692879,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `race`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.2e-05,"SELECT - race, - AVG(hoursperweek) AS avg_hours_per_week -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - AVG(hoursperweek) AS avg_hours_per_week -FROM - adultCensus -GROUP BY - race; -``` - -This SQL query will return the average hours per week for each race in the `adultCensus` table. The `GROUP BY` clause groups the results by the `race` column, and the `AVG` function calculates the average of the `hoursperweek` column for each group.",0.4498569965,llama-8,616,1.005555804614855,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `race`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","For each race, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.04e-05,"SELECT - race, - SUM(hoursperweek) AS total_hours_per_week -FROM - adultCensus -GROUP BY - race;","```sql -SELECT - race, - SUM(hoursperweek) AS total_hours_per_week -FROM - adultCensus -GROUP BY - race; -``` - -This SQL query will return the sum of `hoursperweek` for each unique value in the `race` column in the `adultCensus` table. The result will be a table with two columns: `race` and `total_hours_per_week`.",0.5449299812,llama-8,617,1.0267987385986266,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MIN,"SELECT `education`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the min of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.6e-05,"SELECT - a.education, - MIN(a.hoursperweek) AS min_hoursperweek -FROM - adultCensus a -GROUP BY - a.education;","```sql -SELECT - a.education, - MIN(a.hoursperweek) AS min_hoursperweek -FROM - adultCensus a -GROUP BY - a.education; -``` - -This SQL query will return the education level and the minimum hours per week for each education level in the `adultCensus` table. - -Here's how it works: - -- `SELECT a.education, MIN(a.hoursperweek) AS min_hoursperweek`: This selects the education level and the minimum hours per week for each group. -- `FROM adultCensus a`: This specifies the table to query and assigns it the alias `a`. -- `GROUP BY a.education`: This groups the results by the education level, so that the minimum hours per week can be calculated for each level.",0.6630415916,llama-8,618,0.9984982362746924,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-MAX,"SELECT `education`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the max of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.52e-05,"SELECT - education, - MAX(hoursperweek) AS max_hoursperweek -FROM - adultCensus -GROUP BY - education;","```sql -SELECT - education, - MAX(hoursperweek) AS max_hoursperweek -FROM - adultCensus -GROUP BY - education; -``` - -This SQL query will return the education level and the maximum hours per week for each education level in the `adultCensus` table.",0.4708693027,llama-8,619,1.0012163939517635,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-AVG,"SELECT `education`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the avg of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.2e-05,"SELECT - education, - AVG(hoursperweek) AS avg_hours_per_week -FROM - adultCensus -GROUP BY - education;","```sql -SELECT - education, - AVG(hoursperweek) AS avg_hours_per_week -FROM - adultCensus -GROUP BY - education; -``` - -This SQL query will return the average hours per week for each education level in the `adultCensus` table. The `GROUP BY` clause groups the results by the `education` column, and the `AVG` function calculates the average of the `hoursperweek` column for each group.",0.5261523724,llama-8,620,1.0230385625539709,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,GROUPBY,GROUPBY-AGG-SUM,"SELECT `education`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","For each education, find the sum of hoursperweek in table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.62e-05,"SELECT - education, - SUM(hoursperweek) AS total_hours -FROM - adultCensus -GROUP BY - education;","```sql -SELECT - a.education, - SUM(ac.hoursperweek) AS total_hours -FROM - adultCensus ac -GROUP BY - a.education; -``` - -However, since there is no alias 'a' in the table 'adultCensus', we should use the actual table name 'adultCensus' instead of 'a'. Here's the corrected SQL code: - -```sql -SELECT - education, - SUM(hoursperweek) AS total_hours -FROM - adultCensus -GROUP BY - education; -```",0.5863616467,llama-8,621,1.0037947429908083,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillcolor`, COUNT(*) FROM `mushrooms` GROUP BY `gillcolor`","For each gillcolor, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.12e-05,"SELECT - gillcolor, - COUNT(*) as count -FROM - mushrooms -GROUP BY - gillcolor;","```sql -SELECT - gillcolor, - COUNT(*) as count -FROM - mushrooms -GROUP BY - gillcolor; -``` - -This SQL query will return a table with two columns: `gillcolor` and `count`. The `gillcolor` column will contain the unique gill colors found in the `mushrooms` table, and the `count` column will contain the number of rows for each gill color.",0.4662134647,llama-8,622,1.0075875414214543,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `bruises`, COUNT(*) FROM `mushrooms` GROUP BY `bruises`","For each bruises, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.7e-05,"SELECT bruises, COUNT(*) as count -FROM mushrooms -GROUP BY bruises;","```sql -SELECT COUNT(*) -FROM mushrooms -WHERE bruises = 'bruises'; -``` - -This SQL query will return the number of rows in the `mushrooms` table where the value in the `bruises` column is 'bruises'. If you want to count the number of rows for each unique value in the `bruises` column, you can use the following query: - -```sql -SELECT bruises, COUNT(*) as count -FROM mushrooms -GROUP BY bruises; -``` - -This query will return a list of unique values in the `bruises` column along with the count of rows for each value.",0.589461565,llama-8,623,1.0217972460310372,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `gillsize`, COUNT(*) FROM `mushrooms` GROUP BY `gillsize`","For each gillsize, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.12e-05,"SELECT - gillsize, - COUNT(*) as count -FROM - mushrooms -GROUP BY - gillsize;","```sql -SELECT - gillsize, - COUNT(*) as count -FROM - mushrooms -GROUP BY - gillsize; -``` - -This SQL query will return a table with two columns: `gillsize` and `count`. The `gillsize` column will contain the different gill sizes found in the `mushrooms` table, and the `count` column will contain the number of rows for each gill size.",0.8573455811,llama-8,624,1.117851840050244,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `class`, COUNT(*) FROM `mushrooms` GROUP BY `class`","For each class, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.76e-05,"SELECT - class, - COUNT(*) as row_count -FROM - mushrooms -GROUP BY - class;","```sql -SELECT - class, - COUNT(*) as row_count -FROM - mushrooms -GROUP BY - class; -``` - -This SQL query will return a table with two columns: `class` and `row_count`. The `row_count` column will contain the number of rows in the `mushrooms` table for each unique value in the `class` column.",0.4704144001,llama-8,625,1.043769814175285,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,GROUPBY,GROUPBY-COUNT,"SELECT `capsurface`, COUNT(*) FROM `mushrooms` GROUP BY `capsurface`","For each capsurface, count the number of rows in table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.76e-05,"SELECT - capsurface, - COUNT(*) as count -FROM - mushrooms -GROUP BY - capsurface;","```sql -SELECT - capsurface, - COUNT(*) as count -FROM - mushrooms -GROUP BY - capsurface; -``` - -This SQL query will return a table with two columns: `capsurface` and `count`. The `count` column will contain the number of rows in the `mushrooms` table for each unique `capsurface` value.",0.4541978836,llama-8,626,1.064566329539041,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) >= 10,Find all the race that have at least 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.5e-05,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10;","```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) >= 10; -``` - -This SQL query will return all the unique `race` values from the `adultCensus` table where the count of records for each `race` is 10 or more.",0.4125049114,llama-8,627,1.0209789084439282,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) <= 10,Find all the race that have at most 10 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.16e-05,"SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10;","```sql -SELECT race -FROM adultCensus -GROUP BY race -HAVING COUNT(*) <= 10; -``` - -This SQL query will return all the unique `race` values from the `adultCensus` table where the count of records for each `race` is less than or equal to 10. The `GROUP BY` clause groups the records by `race`, and the `HAVING` clause filters the groups based on the count of records.",0.4316399097,llama-8,628,1.0044614380136856,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) >= 4,Find all the relationship that have at least 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.66e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) >= 4; -``` - -This SQL query will return all the unique relationships that have at least 4 records in the `adultCensus` table. - -Here's how it works: - -- `GROUP BY relationship` groups the rows in the `adultCensus` table by the `relationship` column. -- `COUNT(*)` counts the number of rows in each group. -- `HAVING COUNT(*) >= 4` filters the groups to only include those with at least 4 rows.",0.5307922363,llama-8,629,1.0395328711054848,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) <= 4,Find all the relationship that have at most 4 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.12e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING COUNT(*) <= 4; -``` - -This SQL query will return all the unique relationships from the `adultCensus` table that have at most 4 records. The `GROUP BY` clause groups the rows by the `relationship` column, and the `HAVING COUNT(*) <= 4` clause filters the groups to only include those with 4 or fewer records.",0.6179850101,llama-8,630,1.0187426983863608,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) >= 5,Find all the maritalstatus that have at least 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.02e-05,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(maritalstatus) >= 5;","```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(maritalstatus) >= 5; -``` - -This SQL query will return all the unique marital statuses that have at least 5 records in the `adultCensus` table. - -Here's how it works: - -- `GROUP BY maritalstatus` groups the rows in the `adultCensus` table by the `maritalstatus` column. -- `COUNT(maritalstatus)` counts the number of rows in each group. -- `HAVING COUNT(maritalstatus) >= 5` filters the groups to only include those with at least 5 rows.",0.6925752163,llama-8,631,1.0003706054697596,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-COUNT,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) <= 5,Find all the maritalstatus that have at most 5 records in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.88e-05,"SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5;","```sql -SELECT maritalstatus -FROM adultCensus -GROUP BY maritalstatus -HAVING COUNT(*) <= 5; -``` - -This SQL query will return all the unique `maritalstatus` values from the `adultCensus` table that have at most 5 records. - -Here's how it works: - -- `GROUP BY maritalstatus` groups the rows in the `adultCensus` table by the `maritalstatus` column. -- `COUNT(*)` counts the number of rows in each group. -- `HAVING COUNT(*) <= 5` filters the groups to only include those with 5 or fewer rows.",0.6110236645,llama-8,632,1.0182674646516598,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) >= 42.72,List the nativecountry which average of hoursperweek is at least 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.4e-05,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) >= 42.72; -``` - -This SQL query will return the `nativecountry` values from the `adultCensus` table where the average `hoursperweek` is at least 42.72. The `GROUP BY` clause groups the rows by `nativecountry`, and the `HAVING` clause filters the groups based on the average `hoursperweek`.",0.4922935963,llama-8,633,0.9870343380690277,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) <= 42.72,List the nativecountry which average of hoursperweek is at most 42.72 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.62e-05,"SELECT nativecountry, AVG(hoursperweek) as average_hours -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72;","```sql -SELECT nativecountry -FROM adultCensus -WHERE hoursperweek <= 42.72 -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72; -``` - -However, the above SQL query will return all native countries where the average hours per week is at most 42.72. If you want to get the average hours per week for each native country, you can use the following query: - -```sql -SELECT nativecountry, AVG(hoursperweek) as average_hours -FROM adultCensus -GROUP BY nativecountry -HAVING AVG(hoursperweek) <= 42.72; -``` - -This query will return the native country and the average hours per week for each native country where the average hours per week is at most 42.72.",0.9096136093,llama-8,634,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) >= 270.33,List the nativecountry which summation of hoursperweek is at least 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.36e-05,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) >= 270.33; -``` - -This SQL query will return the `nativecountry` values from the `adultCensus` table where the sum of `hoursperweek` is at least 270.33. The `GROUP BY` clause groups the rows by `nativecountry`, and the `HAVING` clause filters the groups based on the condition.",0.6788260937,llama-8,635,1.0392908627648647,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) <= 270.33,List the nativecountry which summation of hoursperweek is at most 270.33 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.18e-05,"SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33;","```sql -SELECT nativecountry -FROM adultCensus -GROUP BY nativecountry -HAVING SUM(hoursperweek) <= 270.33; -``` - -This SQL query will return the native countries where the total hours worked per week is at most 270.33. The `GROUP BY` clause groups the rows by the `nativecountry` column, and the `HAVING` clause filters the groups based on the condition specified.",0.458039999,llama-8,636,1.0125740109066987,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) >= 36.84,List the relationship which average of hoursperweek is at least 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.06e-05,"SELECT relationship -FROM adultCensus -WHERE hoursperweek / 52 >= 36.84;","```sql -SELECT relationship -FROM adultCensus -WHERE hoursperweek / 52 >= 36.84; -``` - -This SQL query will return the relationship(s) where the average hours worked per week (`hoursperweek`) is at least 36.84 hours. The division by 52 is to convert the hours worked per week to the average hours worked per year, assuming a 52-week year.",0.7618021965,llama-8,637,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-AVG,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) <= 36.84,List the relationship which average of hoursperweek is at most 36.84 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.9e-05,"SELECT relationship, AVG(hoursperweek) as avg_hours -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84;","```sql -SELECT relationship -FROM adultCensus -WHERE hoursperweek <= 36.84 -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84; -``` - -This SQL query will return the relationship(s) where the average hours per week is at most 36.84. - -However, if you want to get the average hours per week for each relationship and then filter the results to include only those with an average of at most 36.84, you can use the following query: - -```sql -SELECT relationship, AVG(hoursperweek) as avg_hours -FROM adultCensus -GROUP BY relationship -HAVING AVG(hoursperweek) <= 36.84; -``` - -This query will return the relationship(s) and their corresponding average hours per week, but only for those with an average of at most 36.84.",0.5526659489,llama-8,638,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) >= 162.2,List the relationship which summation of hoursperweek is at least 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.38e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) >= 162.2; -``` - -This SQL query will return the relationship(s) where the sum of hoursperweek is at least 162.2 in the adultCensus table. The GROUP BY clause groups the rows by the relationship column, and the HAVING clause filters the groups to only include those where the sum of hoursperweek is at least 162.2.",0.4527699947,llama-8,639,1.009925843684502,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,HAVING,HAVING-AGG-SUM,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) <= 162.2,List the relationship which summation of hoursperweek is at most 162.2 in table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.38e-05,"SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2;","```sql -SELECT relationship -FROM adultCensus -GROUP BY relationship -HAVING SUM(hoursperweek) <= 162.2; -``` - -This SQL query will return the relationship(s) where the sum of hoursperweek is at most 162.2 in the adultCensus table. The GROUP BY clause groups the rows by the relationship column, and the HAVING clause filters the groups based on the condition that the sum of hoursperweek is at most 162.2.",0.6166038513,llama-8,640,1.0051628379550455,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) >= 5,Find all the capshape that have at least 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.18e-05,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(capshape) >= 5;","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(capshape) >= 5; -``` - -This SQL query will return all the unique `capshape` values from the `mushrooms` table that have at least 5 records. The `GROUP BY` clause groups the rows by the `capshape` column, and the `HAVING` clause filters the groups to only include those with a count of 5 or more.",0.4217960835,llama-8,641,1.0154893583636997,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) <= 5,Find all the capshape that have at most 5 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.14e-05,"SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(capshape) <= 5;","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape -HAVING COUNT(capshape) <= 5; -``` - -This SQL query will return all the unique `capshape` values from the `mushrooms` table that have at most 5 records. The `GROUP BY` clause groups the rows by the `capshape` column, and the `HAVING` clause filters the groups to only include those with 5 or fewer records.",0.4503276348,llama-8,642,0.9954596679725621,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) >= 6,Find all the capsurface that have at least 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.54e-05,"SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6;","```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING COUNT(*) >= 6; -``` - -This SQL query will return all the unique `capsurface` values from the `mushrooms` table where the count of records for each `capsurface` value is 6 or more.",0.4548969269,llama-8,643,1.0026903608531426,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) <= 6,Find all the capsurface that have at most 6 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.64e-05,"SELECT DISTINCT capsurface -FROM mushrooms -WHERE capshape IN ( - SELECT capshape - FROM mushrooms - GROUP BY capshape - HAVING COUNT(*) <= 6 -);","```sql -SELECT DISTINCT capsurface -FROM mushrooms -WHERE capshape IN ( - SELECT capshape - FROM mushrooms - GROUP BY capshape - HAVING COUNT(*) <= 6 -); -``` - -This SQL query works as follows: - -1. It selects the distinct `capsurface` values from the `mushrooms` table. -2. It filters these values based on the `capshape` values that appear at most 6 times in the `mushrooms` table. -3. It uses a subquery to group the `capshape` values and count their occurrences. -4. It uses the `HAVING` clause to filter the groups based on the count being less than or equal to 6. -5. It selects the distinct `capsurface` values that correspond to these filtered `capshape` values.",0.7258522511,llama-8,644,0.0,0.0,0.0,0.0,0.5,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) >= 10,Find all the class that have at least 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.94e-05,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(class) >= 10;","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(class) >= 10; -``` - -This SQL query will return all the classes from the `mushrooms` table that have at least 10 records. The `GROUP BY` clause groups the rows by the `class` column, and the `HAVING` clause filters the groups to only include those with 10 or more records.",0.3767988682,llama-8,645,1.0084376994623534,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,HAVING,HAVING-COUNT,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) <= 10,Find all the class that have at most 10 records in table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.02e-05,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10;","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(*) <= 10; -``` - -This SQL query will return all the classes from the `mushrooms` table that have 10 or fewer records. The `GROUP BY` clause groups the rows by the `class` column, and the `HAVING COUNT(*) <= 10` clause filters the groups to only include those with 10 or fewer records.",0.4107835293,llama-8,646,1.0070290316513348,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the workclass with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.68e-05,"SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING COUNT(DISTINCT maritalstatus) = (SELECT COUNT(maritalstatus) FROM adultCensus);","```sql -SELECT DISTINCT workclass -FROM adultCensus; -``` - -This SQL query will return all the unique workclass values from the `adultCensus` table. - -However, if you want to get the workclass with all the maritalstatus in the table, you should use the following query: - -```sql -SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING COUNT(DISTINCT maritalstatus) = (SELECT COUNT(DISTINCT maritalstatus) FROM adultCensus); -``` - -This query will return the workclass that has all the unique maritalstatus values in the `adultCensus` table. - -Note: The above query assumes that you want to get the workclass that has all the unique maritalstatus values. If you want to get the workclass that has all the maritalstatus values (not necessarily unique), you should use the following query: - -```sql -SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING COUNT(DISTINCT maritalstatus) = (SELECT COUNT(maritalstatus) FROM adultCensus); -```",0.8209447861,llama-8,647,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the workclass with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.2e-05,"SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING COUNT(DISTINCT race) = (SELECT COUNT(DISTINCT race) FROM adultCensus);","```sql -SELECT DISTINCT workclass -FROM adultCensus; -``` - -This SQL query will return all the unique workclass values from the `adultCensus` table. - -However, if you want to get the workclass with all the race in the table, you should use the following query: - -```sql -SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING COUNT(DISTINCT race) = (SELECT COUNT(DISTINCT race) FROM adultCensus); -``` - -This query will return the workclass that has all the different races in the `adultCensus` table. - -Note: If there are multiple workclasses that have all the different races, this query will return all of them.",0.4896967411,llama-8,648,1.00585799494638,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the workclass with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.5e-05,"SELECT workclass, sex -FROM adultCensus -GROUP BY sex;","```sql -SELECT DISTINCT workclass -FROM adultCensus; -``` - -This SQL query will return all the unique workclass values from the `adultCensus` table. - -However, if you want to get the workclass for each sex, you can use the following query: - -```sql -SELECT workclass, sex -FROM adultCensus; -``` - -This query will return all the workclass values along with the corresponding sex for each row in the `adultCensus` table. - -If you want to get the workclass for each unique sex, you can use the following query: - -```sql -SELECT workclass, sex -FROM adultCensus -GROUP BY sex; -``` - -This query will return all the unique workclass values for each unique sex in the `adultCensus` table.",0.5835609436,llama-8,649,0.0,0.5,1.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the workclass with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.2e-05,"SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING COUNT(DISTINCT nativecountry) = (SELECT COUNT(DISTINCT nativecountry) FROM adultCensus);","```sql -SELECT DISTINCT workclass -FROM adultCensus; -``` - -This SQL query will return all the unique workclass values from the `adultCensus` table. - -However, if you want to get the workclass with all the nativecountry, you should use the following query: - -```sql -SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING COUNT(DISTINCT nativecountry) = (SELECT COUNT(DISTINCT nativecountry) FROM adultCensus); -``` - -This query will return the workclass that has all the native countries present in the `adultCensus` table. If there are multiple workclasses with the same set of native countries, this query will return all of them.",0.8324370384,llama-8,650,1.0358918640557648,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the workclass with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.08e-05,"SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING SUM(CAST(REPLACE(income, '$', '') AS REAL)) = (SELECT SUM(CAST(REPLACE(income, '$', '') AS REAL)) - FROM adultCensus - GROUP BY workclass - ORDER BY SUM(CAST(REPLACE(income, '$', '') AS REAL)) DESC - LIMIT 1);","```sql -SELECT workclass -FROM adultCensus -GROUP BY workclass -HAVING SUM(CAST(REPLACE(income, '$', '') AS REAL)) = (SELECT SUM(CAST(REPLACE(income, '$', '') AS REAL)) - FROM adultCensus - GROUP BY workclass - ORDER BY SUM(CAST(REPLACE(income, '$', '') AS REAL)) DESC - LIMIT 1); -``` - -This SQL query works as follows: - -1. It selects the `workclass` column from the `adultCensus` table. -2. It groups the results by `workclass`. -3. It uses the `HAVING` clause to filter the results to only include `workclass` values where the total income is equal to the maximum total income across all `workclass` values. -4. The subquery in the `HAVING` clause calculates the maximum total income across all `workclass` values.",1.043109417,llama-8,651,0.0,0.333,1.0,0.0,0.333,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`),What are the education with all the maritalstatus in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7e-05,"SELECT DISTINCT education, maritalstatus -FROM adultCensus;","```sql -SELECT education, maritalstatus -FROM adultCensus; -``` - -This SQL query will return all the unique combinations of education and maritalstatus from the adultCensus table. If you want to see all the rows with all the maritalstatus for each education, you can use the following query: - -```sql -SELECT education, maritalstatus -FROM adultCensus; -``` - -However, if you want to see all the unique education with all the maritalstatus, you can use the following query: - -```sql -SELECT DISTINCT education, maritalstatus -FROM adultCensus; -``` - -This query will return all the unique education with all the maritalstatus from the adultCensus table.",0.6792662144,llama-8,652,0.0,0.083,1.0,0.0,0.071,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `relationship`) = (SELECT COUNT(DISTINCT `relationship`) FROM `adultCensus`),What are the education with all the relationship in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.76e-05,"SELECT DISTINCT education, relationship -FROM adultCensus;","```sql -SELECT education, relationship -FROM adultCensus; -``` - -This SQL query will fetch all the education and relationship from the `adultCensus` table. - -However, if you want to get all the education with all the relationship in the table, you can use the following query: - -```sql -SELECT education, relationship -FROM adultCensus -GROUP BY education; -``` - -This query will group the results by education and return all the unique relationships for each education. - -If you want to get all the education with all the unique relationships in the table, you can use the following query: - -```sql -SELECT DISTINCT education, relationship -FROM adultCensus; -``` - -This query will return all the unique education and relationship from the `adultCensus` table. - -Note: The `DISTINCT` keyword is used to eliminate duplicate rows from the result set.",0.5758764744,llama-8,653,0.0,0.077,1.0,0.0,0.062,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the education with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.04e-05,"SELECT education, race -FROM adultCensus;","```sql -SELECT education -FROM adultCensus; -``` - -This SQL query will return all the unique education values from the `adultCensus` table. If you want to see all the education values along with the corresponding race, you can use the following query: - -```sql -SELECT education, race -FROM adultCensus; -``` - -This query will return all the education values and the corresponding race values from the `adultCensus` table.",0.4765267372,llama-8,654,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the education with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.76e-05,"SELECT education, sex -FROM adultCensus -GROUP BY education;","```sql -SELECT education, sex -FROM adultCensus; -``` - -This SQL query will return all the unique combinations of education and sex from the `adultCensus` table. If you want to see all the rows with different education and sex, you can use the following query: - -```sql -SELECT * -FROM adultCensus; -``` - -However, if you want to see the unique combinations of education with all the sex, you can use the following query: - -```sql -SELECT education, sex -FROM adultCensus -GROUP BY education; -``` - -This query will return all the unique education with all the sex.",0.6295843124,llama-8,655,0.0,0.2,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the education with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5e-05,"SELECT education, income -FROM adultCensus;","```sql -SELECT education, income -FROM adultCensus; -``` - -This SQL query will return all the education levels along with their corresponding income levels from the `adultCensus` table.",0.3088440895,llama-8,656,0.0,0.2,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the maritalstatus with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.5e-05,"SELECT DISTINCT maritalstatus -FROM adultCensus -WHERE race IS NOT NULL;","```sql -SELECT DISTINCT maritalstatus -FROM adultCensus -WHERE race IS NOT NULL; -``` - -This SQL query will return all the unique marital statuses from the `adultCensus` table where the `race` column is not null. The `DISTINCT` keyword is used to return only unique values.",0.4037718773,llama-8,657,0.0,0.5,1.0,0.0,0.5,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the maritalstatus with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.12e-05,"SELECT DISTINCT maritalstatus, sex -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus, sex -FROM adultCensus; -``` - -This SQL query will return all unique combinations of `maritalstatus` and `sex` from the `adultCensus` table.",0.3539385796,llama-8,658,0.0,0.333,1.0,0.0,0.333,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the maritalstatus with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.54e-05,"SELECT DISTINCT maritalstatus, income -FROM adultCensus;","```sql -SELECT maritalstatus, income -FROM adultCensus; -``` - -This SQL query will return all the rows from the `adultCensus` table, including the `maritalstatus` and `income` columns. - -However, if you want to get all the unique `maritalstatus` with all the corresponding `income`, you can use the following query: - -```sql -SELECT DISTINCT maritalstatus, income -FROM adultCensus; -``` - -This query will return all the unique `maritalstatus` values with all the corresponding `income` values.",0.7661428452,llama-8,659,0.0,0.5,1.0,0.0,0.429,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the occupation with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",0.0004516,"SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation;","```sql -SELECT occupation -FROM adultCensus -GROUP BY occupation; -``` - -However, this SQL query will return all occupations in the table. If you want to get all occupations with all races, you can use the following query: - -```sql -SELECT occupation -FROM adultCensus -GROUP BY occupation; -``` - -This query will return all unique occupations in the table. If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However, if you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -If you want to get the count of each occupation with all races, you can use the following query: - -```sql -SELECT occupation, COUNT(*) as count -FROM adultCensus -GROUP BY occupation; -``` - -This query will return the count of each occupation in the table. - -However,",4.8696746826,llama-8,660,0.0,0.071,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the occupation with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.3e-05,"SELECT occupation, sex -FROM adultCensus -GROUP BY occupation, sex;","```sql -SELECT occupation -FROM adultCensus -GROUP BY occupation; -``` - -This SQL query will return all the unique occupations in the `adultCensus` table. - -However, if you want to see all the occupations along with the different sexes for each occupation, you can use the following query: - -```sql -SELECT occupation, sex -FROM adultCensus -GROUP BY occupation, sex; -``` - -This query will return all the unique combinations of occupation and sex in the `adultCensus` table.",0.5439841747,llama-8,661,0.0,0.25,1.0,0.0,0.231,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the occupation with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.4e-05,"SELECT occupation -FROM adultCensus -ORDER BY income DESC;","```sql -SELECT occupation -FROM adultCensus -ORDER BY income DESC; -``` - -This SQL query will return all the occupations from the `adultCensus` table, ordered by their corresponding income in descending order. The occupation with the highest income will be at the top of the list.",0.4706325531,llama-8,662,0.0,0.3,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`),What are the relationship with all the race in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.14e-05,"SELECT race, relationship -FROM adultCensus -GROUP BY race, relationship;","```sql -SELECT relationship -FROM adultCensus; -``` - -This SQL query will return all the unique relationships in the `adultCensus` table. If you want to see all the relationships with each race, you can use the following query: - -```sql -SELECT race, relationship -FROM adultCensus -GROUP BY race, relationship; -``` - -This query will return all the unique combinations of `race` and `relationship` in the `adultCensus` table.",0.5540280342,llama-8,663,0.0,0.286,1.0,0.0,0.286,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the relationship with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.24e-05,"SELECT DISTINCT sex -FROM adultCensus;","```sql -SELECT DISTINCT sex -FROM adultCensus; -``` - -This SQL query will return all the unique values in the 'sex' column of the 'adultCensus' table, which represents the different relationships with all the sex in the table.",0.3800501823,llama-8,664,0.0,0.0,0.0,0.0,1.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the relationship with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.42e-05,"SELECT relationship, income -FROM adultCensus;","```sql -SELECT relationship, income -FROM adultCensus; -``` - -This SQL query will return all the rows from the `adultCensus` table, including the `relationship` and `income` columns. The `relationship` column will show the relationship with all the income in the table.",0.7350609303,llama-8,665,0.0,0.429,1.0,0.0,0.15,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`),What are the race with all the sex in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.62e-05,"SELECT - race, - sex -FROM - adultCensus -ORDER BY - race;","```sql -SELECT - race, - sex -FROM - adultCensus; -``` - -This SQL query will return all the unique combinations of `race` and `sex` from the `adultCensus` table. If you want to get all the rows with all the sex for each race, you can use the following query: - -```sql -SELECT - race, - sex -FROM - adultCensus -ORDER BY - race; -``` - -This query will return all the rows with all the sex for each race, ordered by the `race` column.",0.4487411976,llama-8,666,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`),What are the race with all the nativecountry in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.24e-05,"SELECT * -FROM adultCensus;","```sql -SELECT race -FROM adultCensus; -``` - -This SQL query will return all the unique values in the ""race"" column from the ""adultCensus"" table. - -If you want to see all the rows with their corresponding native country, you can use the following query: - -```sql -SELECT * -FROM adultCensus; -``` - -This query will return all the rows from the ""adultCensus"" table, including the ""race"" and ""nativecountry"" columns.",0.4503619671,llama-8,667,0.0,0.02,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the race with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.08e-05,"SELECT race, income -FROM adultCensus;","```sql -SELECT race, income -FROM adultCensus; -``` - -This SQL query will return all the rows from the `adultCensus` table, including the `race` and `income` columns.",0.290874958,llama-8,668,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `sex` FROM `adultCensus` GROUP BY `sex` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the sex with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.14e-05,"SELECT sex -FROM adultCensus -WHERE income = 'All';","```sql -SELECT sex -FROM adultCensus -WHERE income = 'All'; -``` - -This SQL query will return the `sex` column from the `adultCensus` table where the `income` is 'All'.",0.4026143551,llama-8,669,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,many-to-many-generator,many-to-many,SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`),What are the nativecountry with all the income in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.1e-05,"SELECT DISTINCT nativecountry, income -FROM adultCensus;","```sql -SELECT nativecountry -FROM adultCensus; -``` - -This SQL query will return all the unique native countries from the `adultCensus` table. If you want to include all the income for each native country, you can use the following query: - -```sql -SELECT nativecountry, income -FROM adultCensus; -``` - -This query will return all the native countries and their corresponding income. If you want to remove duplicate rows (i.e., if a native country appears multiple times with the same income), you can use the following query: - -```sql -SELECT DISTINCT nativecountry, income -FROM adultCensus; -``` - -This query will return all the unique native countries and their corresponding income.",0.6780216694,llama-8,670,0.0,0.2,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the class with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.94e-05,"SELECT class -FROM mushrooms -WHERE capsurface = 'all';","```sql -SELECT class -FROM mushrooms -WHERE capsurface = 'all'; -``` - -This SQL query will return all the classes of mushrooms that have an 'all' capsurface.",0.3466324806,llama-8,671,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the class with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.3e-05,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms);","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms); -``` - -This SQL query will return all the classes in the `mushrooms` table where every class has all the unique cap colors present in the table. - -Here's how it works: - -- `GROUP BY class` groups the rows by the `class` column. -- `HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms)` filters the groups to only include those where every unique cap color is present. This is done by comparing the count of unique cap colors for each class to the total count of unique cap colors in the table.",0.6953732967,llama-8,672,1.0158759561726278,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the class with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.32e-05,"SELECT class -FROM mushrooms -WHERE bruises = 'yes';","```sql -SELECT class -FROM mushrooms -WHERE bruises = 'yes'; -``` - -This SQL query will return all the classes of mushrooms that have bruises. The `WHERE` clause filters the results to only include rows where the `bruises` column is equal to `'yes'`.",0.398973465,llama-8,673,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the class with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.6e-05,"SELECT class -FROM mushrooms;","```sql -SELECT class -FROM mushrooms -WHERE gillattachment = 'attached'; -``` - -This SQL query will return all the classes of mushrooms that have attached gills. If you want to get all classes regardless of the gill attachment type, you can remove the `WHERE` clause: - -```sql -SELECT class -FROM mushrooms; -```",0.4634549618,llama-8,674,0.0,0.5,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the class with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.52e-05,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms);","```sql -SELECT class -FROM mushrooms -WHERE gillspacing = 'close'; -``` - -This SQL query will return all the classes of mushrooms where the gill spacing is 'close'. If you want to fetch all classes with any gill spacing, you can use the following query: - -```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms); -``` - -This query will return all classes of mushrooms where all the gill spacings are present.",0.5540809631,llama-8,675,1.0403363899745521,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the class with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.7e-05,"SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms);","```sql -SELECT class -FROM mushrooms -GROUP BY class -HAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms); -``` - -This SQL query will return all the classes in the `mushrooms` table where every instance of that class has a value in the `gillsize` column. - -Here's how it works: - -- The subquery `(SELECT COUNT(gillsize) FROM mushrooms)` counts the total number of unique `gillsize` values in the `mushrooms` table. -- The `HAVING COUNT(gillsize) = ...` clause then selects only the classes where every instance has a value in the `gillsize` column, i.e., where the count of `gillsize` values for that class is equal to the total count of unique `gillsize` values.",0.6082992554,llama-8,676,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`),What are the capshape with all the capsurface in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.42e-05,"SELECT DISTINCT capshape -FROM mushrooms -WHERE capsurface = 'all';","```sql -SELECT DISTINCT capshape -FROM mushrooms -WHERE capsurface = 'all'; -``` - -This SQL query will return all the unique capshapes from the `mushrooms` table where the capsurface is 'all'. The `DISTINCT` keyword is used to return only unique values.",0.4252977371,llama-8,677,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`),What are the capshape with all the capcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.82e-05,"SELECT capshape, GROUP_CONCAT(capcolor) -FROM mushrooms -GROUP BY capshape;","```sql -SELECT capshape -FROM mushrooms -GROUP BY capshape; -``` - -However, if you want to fetch all the capcolor for each capshape, you can use the following SQL code: - -```sql -SELECT m1.capshape, m2.capcolor -FROM mushrooms m1 -JOIN mushrooms m2 ON m1.capshape = m2.capshape -GROUP BY m1.capshape, m2.capcolor; -``` - -This SQL code will return all the capcolor for each capshape in the mushrooms table. - -If you want to get the capcolor for each capshape in a single row, you can use the following SQL code: - -```sql -SELECT capshape, GROUP_CONCAT(capcolor) -FROM mushrooms -GROUP BY capshape; -``` - -This SQL code will return a single row for each capshape with all the capcolor in a comma-separated list.",0.6368739605,llama-8,678,0.0,0.125,1.0,0.0,0.25,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capshape with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.16e-05,"SELECT capshape -FROM mushrooms -WHERE bruises = 'yes';","```sql -SELECT capshape -FROM mushrooms -WHERE bruises = 'yes'; -``` - -This SQL query will return all the capshapes from the `mushrooms` table where the `bruises` column is equal to 'yes'.",0.5140247345,llama-8,679,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capshape with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.52e-05,"SELECT DISTINCT capshape -FROM mushrooms -WHERE gillattachment IS NOT NULL;","```sql -SELECT DISTINCT capshape -FROM mushrooms -WHERE gillattachment IS NOT NULL; -``` - -This SQL query will return all the unique capshapes from the `mushrooms` table where the `gillattachment` is not null. The `DISTINCT` keyword is used to return only unique values.",0.4552731514,llama-8,680,0.0,0.25,1.0,0.0,0.25,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capshape with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.52e-05,"SELECT DISTINCT capshape -FROM mushrooms -WHERE gillspacing IS NOT NULL;","```sql -SELECT DISTINCT capshape -FROM mushrooms -WHERE gillspacing IS NOT NULL; -``` - -This SQL query will return all the unique capshapes from the `mushrooms` table where the `gillspacing` is not null. The `DISTINCT` keyword is used to return only unique values.",0.5455887318,llama-8,681,0.0,0.25,1.0,0.0,0.25,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capshape with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.3e-05,"SELECT capshape, gillsize -FROM mushrooms;","```sql -SELECT DISTINCT capshape -FROM mushrooms; -``` - -This SQL query will return all the unique capshape values from the ""mushrooms"" table. - -However, if you want to see the capshape values along with all the gillsize values, you can use the following query: - -```sql -SELECT capshape, gillsize -FROM mushrooms; -``` - -This query will return all the capshape values along with all the gillsize values from the ""mushrooms"" table.",0.4723160267,llama-8,682,0.0,0.333,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capsurface with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.22e-05,"SELECT capsurface -FROM mushrooms -WHERE bruises = 'yes';","```sql -SELECT capsurface -FROM mushrooms -WHERE bruises = 'yes'; -``` - -This SQL query will return the `capsurface` values from the `mushrooms` table where the `bruises` column is equal to `'yes'`.",0.4338123798,llama-8,683,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capsurface with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.18e-05,"SELECT capsurface -FROM mushrooms -WHERE gillattachment = 'attached';","```sql -SELECT capsurface -FROM mushrooms -WHERE gillattachment = 'attached'; -``` - -This SQL query will return all the capsurface values from the 'mushrooms' table where the gillattachment is 'attached'.",0.6567034721,llama-8,684,0.9327006117761747,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capsurface with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.96e-05,"SELECT capsurface, gillspacing -FROM mushrooms -WHERE gillspacing IN (SELECT gillspacing FROM mushrooms);","```sql -SELECT capsurface -FROM mushrooms -WHERE gillspacing IN (SELECT gillspacing FROM mushrooms); -``` - -This SQL query will return all the capsurface values from the 'mushrooms' table where the gillspacing is present in the table. - -However, if you want to fetch all the capsurface values along with their corresponding gillspacing, you can use the following query: - -```sql -SELECT capsurface, gillspacing -FROM mushrooms -WHERE gillspacing IN (SELECT gillspacing FROM mushrooms); -``` - -This query will return all the capsurface values and their corresponding gillspacing values from the 'mushrooms' table.",0.5276417732,llama-8,685,0.0,0.4,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capsurface with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.3e-05,"SELECT m1.capsurface, m2.gillsize -FROM mushrooms m1 -JOIN mushrooms m2 -ON m1.capsurface = m2.gillsize;","```sql -SELECT capsurface -FROM mushrooms -GROUP BY capsurface -HAVING capsurface IN (SELECT gillsize - FROM mushrooms - GROUP BY gillsize); -``` - -This SQL query will return all the unique `capsurface` values from the `mushrooms` table where each `capsurface` value is associated with at least one `gillsize` value. - -However, if you want to get the `capsurface` values along with their corresponding `gillsize` values, you can use the following query: - -```sql -SELECT m1.capsurface, m2.gillsize -FROM mushrooms m1 -JOIN mushrooms m2 -ON m1.capsurface = m2.gillsize; -``` - -This query will return all the `capsurface` values along with their corresponding `gillsize` values. If there are multiple `gillsize` values associated with a single `capsurface` value, this query will return all the combinations.",0.7458548546,llama-8,686,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`),What are the capcolor with all the bruises in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.94e-05,"SELECT capcolor -FROM mushrooms -WHERE bruises = 'yes';","```sql -SELECT capcolor -FROM mushrooms -WHERE bruises = 'yes'; -``` - -This SQL query will return the capcolor of all the mushrooms that have bruises in the table.",0.3104948997,llama-8,687,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the capcolor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.02e-05,"SELECT DISTINCT capcolor -FROM mushrooms -WHERE gillattachment = 'attached';","```sql -SELECT DISTINCT capcolor -FROM mushrooms -WHERE gillattachment = 'attached'; -``` - -This SQL query will return all the unique cap colors of mushrooms with attached gill attachments.",0.4098358154,llama-8,688,0.9445467219445494,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the capcolor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.22e-05,"SELECT - capcolor, - gillspacing -FROM - mushrooms","```sql -SELECT - capcolor, - gillspacing -FROM - mushrooms -``` - -This SQL query will return all the capcolor values along with their corresponding gillspacing values from the ""mushrooms"" table.",0.4296441078,llama-8,689,0.0,0.286,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the capcolor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.18e-05,"SELECT capcolor, gillsize -FROM mushrooms;","```sql -SELECT DISTINCT capcolor -FROM mushrooms; -``` - -This SQL query will return all the unique capcolors from the 'mushrooms' table. - -However, if you want to see the capcolors along with their corresponding gillsizes, you can use the following query: - -```sql -SELECT capcolor, gillsize -FROM mushrooms; -``` - -This query will return all the capcolors and their corresponding gillsizes from the 'mushrooms' table.",0.5495815277,llama-8,690,0.0,0.571,1.0,0.0,0.2,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the bruises with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT bruises -FROM mushrooms -WHERE gillattachment = 'attached';","```sql -SELECT bruises -FROM mushrooms -WHERE gillattachment = 'attached'; -``` - -This SQL query will return all the bruises from the 'mushrooms' table where the gillattachment is 'attached'.",0.3675000668,llama-8,691,0.9233541423444169,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the bruises with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.58e-05,"SELECT bruises -FROM mushrooms -WHERE gillspacing = 'close';","```sql -SELECT bruises -FROM mushrooms -WHERE gillspacing = 'close'; -``` - -This SQL query will return all the rows from the `mushrooms` table where the `gillspacing` is 'close'. The `SELECT bruises` statement will then return the corresponding `bruises` value for each of these rows.",0.4126396179,llama-8,692,0.0,0.5,1.0,0.0,0.062,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the bruises with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.2e-05,"SELECT bruises -FROM mushrooms -GROUP BY bruises -HAVING gillsize = 'anomalous';","```sql -SELECT bruises -FROM mushrooms -GROUP BY bruises -HAVING gillsize = 'anomalous'; -``` - -This SQL query will return all the `bruises` from the `mushrooms` table where the `gillsize` is 'anomalous'. The `GROUP BY` clause groups the results by `bruises`, and the `HAVING` clause filters the results to only include groups where the `gillsize` is 'anomalous'.",0.5510261059,llama-8,693,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`),What are the odor with all the gillattachment in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.16e-05,"SELECT odor -FROM mushrooms -WHERE gillattachment = 'attached';","```sql -SELECT odor -FROM mushrooms -WHERE gillattachment = 'attached'; -``` - -This SQL query will return all the odor values from the `mushrooms` table where the `gillattachment` is 'attached'.",0.4237999916,llama-8,694,0.9624242192906265,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the odor with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.12e-05,"SELECT odor -FROM mushrooms -WHERE gillspacing = 'close';","```sql -SELECT odor -FROM mushrooms -WHERE gillspacing = 'close'; -``` - -This SQL query will return all the odor values from the ""mushrooms"" table where the gillspacing is 'close'.",0.4039511681,llama-8,695,0.0,0.2,1.0,0.0,0.062,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the odor with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.08e-05,"SELECT odor -FROM mushrooms -GROUP BY odor -HAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms);","```sql -SELECT odor -FROM mushrooms -GROUP BY odor -HAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms); -``` - -This SQL query will return all the unique `odor` values from the `mushrooms` table where the count of `gillsize` is equal to the total count of `gillsize` in the table. This is because we are grouping by `odor` and checking if the count of `gillsize` for each group is equal to the total count of `gillsize` in the table. If it is, then it means that all the `gillsize` values are present for that `odor` value.",0.8240926266,llama-8,696,0.0,0.0,0.0,0.0,0.0,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`),What are the gillattachment with all the gillspacing in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.36e-05,"SELECT - gillattachment, - gillspacing -FROM - mushrooms;","```sql -SELECT - gillattachment, - gillspacing -FROM - mushrooms; -``` - -This SQL query will return all the rows from the `mushrooms` table, including the `gillattachment` and `gillspacing` columns.",0.3821702003,llama-8,697,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillattachment with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",7.54e-05,"SELECT gillattachment, gillsize -FROM mushrooms -ORDER BY gillattachment;","```sql -SELECT gillattachment, gillsize -FROM mushrooms -GROUP BY gillattachment; -``` - -This SQL query will return all the unique combinations of `gillattachment` and `gillsize` from the `mushrooms` table. If you want to see all the `gillsize` for each `gillattachment`, you can use the following query: - -```sql -SELECT gillattachment, gillsize -FROM mushrooms -GROUP BY gillattachment, gillsize; -``` - -However, if you want to see all the `gillsize` for each `gillattachment` without grouping by `gillsize`, you can use the following query: - -```sql -SELECT gillattachment, gillsize -FROM mushrooms -ORDER BY gillattachment; -```",0.6993045807,llama-8,698,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`),What are the gillspacing with all the gillsize in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.28e-05,"SELECT gillspacing, gillsize -FROM mushrooms;","```sql -SELECT gillspacing -FROM mushrooms; -``` - -This SQL query will return all the gillspacing values from the ""mushrooms"" table. - -If you want to see the gillspacing along with all the gillsize in the table, you can use the following query: - -```sql -SELECT gillspacing, gillsize -FROM mushrooms; -``` - -This query will return all the gillspacing and gillsize values from the ""mushrooms"" table.",0.4274129868,llama-8,699,0.0,0.25,1.0,0.0,0.05,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,many-to-many-generator,many-to-many,SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillcolor`) = (SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`),What are the gillspacing with all the gillcolor in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.32e-05,"SELECT gillspacing, gillcolor -FROM mushrooms -GROUP BY gillspacing, gillcolor;","```sql -SELECT gillspacing -FROM mushrooms -GROUP BY gillspacing; -``` - -However, if you want to fetch the gillspacing along with all the gillcolor for each gillspacing, you can use the following SQL query: - -```sql -SELECT gillspacing, gillcolor -FROM mushrooms -GROUP BY gillspacing, gillcolor; -``` - -This query will return all the unique combinations of gillspacing and gillcolor in the `mushrooms` table.",0.578561306,llama-8,700,0.0,0.091,1.0,0.0,0.091,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` ASC,Show all data ordered by hoursperweek in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.3e-05,"SELECT * -FROM adultCensus -ORDER BY hoursperweek ASC;","```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek ASC; -``` - -This SQL query will fetch all data from the `adultCensus` table and order it in ascending order based on the `hoursperweek` column.",0.4914772511,llama-8,701,0.9982492612909896,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `hoursperweek` DESC,Show all data ordered by hoursperweek in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.3e-05,"SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC;","```sql -SELECT * -FROM adultCensus -ORDER BY hoursperweek DESC; -``` - -This SQL query will fetch all data from the `adultCensus` table and order it in descending order based on the `hoursperweek` column.",0.3521912098,llama-8,702,1.0272820466535302,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` ASC,Show all data ordered by income in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.16e-05,"SELECT * -FROM adultCensus -ORDER BY income ASC;","```sql -SELECT * -FROM adultCensus -ORDER BY income ASC; -``` - -This SQL query will fetch all data from the `adultCensus` table and order it by the `income` column in ascending order.",0.3875000477,llama-8,703,0.9977751183511657,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `adultCensus` ORDER BY `income` DESC,Show all data ordered by income in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.42e-05,"SELECT * -FROM adultCensus -ORDER BY income DESC;","```sql -SELECT * -FROM adultCensus -ORDER BY income DESC; -``` - -This SQL query will fetch all data from the `adultCensus` table and order it by the `income` column in descending order. The `DESC` keyword is used to specify the descending order.",0.3550052643,llama-8,704,0.9884647924323622,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` ASC,Project the maritalstatus ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.16e-05,"SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC;","```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus ASC; -``` - -This SQL query will return the `maritalstatus` column from the `adultCensus` table, ordered in ascending order.",0.3364162445,llama-8,705,1.0062573983957783,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` DESC,Project the maritalstatus ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",8.36e-05,"SELECT maritalstatus -FROM mushrooms -ORDER BY maritalstatus DESC;","```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC; -``` - -This SQL query will return the `maritalstatus` column from the `adultCensus` table, ordered in descending order. - -However, it seems like there might be a mistake in the database schema provided. The table name is `adultCensus` but the question is asking about the `mushrooms` table. If that's the case, you should replace `adultCensus` with `mushrooms` in the SQL query: - -```sql -SELECT maritalstatus -FROM adultCensus -ORDER BY maritalstatus DESC; -``` - -should be - -```sql -SELECT maritalstatus -FROM mushrooms -ORDER BY maritalstatus DESC; -``` - -But since there is no `maritalstatus` column in the `mushrooms` table, this query will return an error. If you want to order the `maritalstatus` column in the `adultCensus` table, the first query will work.",0.8875257969,llama-8,706,,0.0,0.0,0.0,0.0,0.0,0.0,0.0 -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` ASC,Project the relationship ordered in ascending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.02e-05,"SELECT relationship -FROM adultCensus -ORDER BY relationship ASC;","```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship ASC; -``` - -This SQL query will return the 'relationship' column from the 'adultCensus' table in ascending order.",0.2846405506,llama-8,707,1.0262081628748632,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,ORDERBY,ORDERBY-PROJECT,SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` DESC,Project the relationship ordered in descending order for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.94e-05,"SELECT relationship -FROM adultCensus -ORDER BY relationship DESC;","```sql -SELECT relationship -FROM adultCensus -ORDER BY relationship DESC; -``` - -This SQL query will return the relationship column from the adultCensus table in descending order.",0.4026949406,llama-8,708,1.0096044294968263,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` ASC,Show all data ordered by class in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT * -FROM mushrooms -ORDER BY class ASC;","```sql -SELECT * -FROM mushrooms -ORDER BY class ASC; -``` - -This SQL query will fetch all data from the `mushrooms` table and order it by the `class` column in ascending order.",0.355587244,llama-8,709,1.0030360517063817,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `class` DESC,Show all data ordered by class in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.34e-05,"SELECT * -FROM mushrooms -ORDER BY class DESC;","```sql -SELECT * -FROM mushrooms -ORDER BY class DESC; -``` - -This SQL query will fetch all data from the `mushrooms` table and order it by the `class` column in descending order. The `DESC` keyword is used to specify the descending order.",0.4015114307,llama-8,710,1.0194045146097337,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` ASC,Show all data ordered by gillattachment in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.22e-05,"SELECT * -FROM mushrooms -ORDER BY gillattachment ASC;","```sql -SELECT * -FROM mushrooms -ORDER BY gillattachment ASC; -``` - -This SQL query will fetch all data from the `mushrooms` table and order it in ascending order based on the `gillattachment` column.",0.3571743965,llama-8,711,1.0005268388842785,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-SINGLE,SELECT * FROM `mushrooms` ORDER BY `gillattachment` DESC,Show all data ordered by gillattachment in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.44e-05,"SELECT * -FROM mushrooms -ORDER BY gillattachment DESC;","```sql -SELECT * -FROM mushrooms -ORDER BY gillattachment DESC; -``` - -This SQL query will fetch all data from the `mushrooms` table, ordered by the `gillattachment` column in descending order. The `DESC` keyword is used to specify the descending order.",0.4543960094,llama-8,712,1.0004428427933445,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` ASC,Project the gillspacing ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC;","```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing ASC; -``` - -This SQL query will return the `gillspacing` values from the `mushrooms` table in ascending order.",0.3343639374,llama-8,713,1.0131250799358589,1.0,1.0,1.0,1.0,1.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` DESC,Project the gillspacing ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6e-05,"SELECT DISTINCT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC;","```sql -SELECT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC; -``` - -This SQL query will return the `gillspacing` values from the `mushrooms` table in descending order. If you want to project only the unique `gillspacing` values, you can use the `DISTINCT` keyword: - -```sql -SELECT DISTINCT gillspacing -FROM mushrooms -ORDER BY gillspacing DESC; -```",0.508087635,llama-8,714,0.0,1.0,1.0,0.0,0.1,0.0,1.0, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` ASC,Project the capcolor ordered in ascending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.04e-05,"SELECT * -FROM mushrooms -ORDER BY capcolor ASC;","```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor ASC; -``` - -This SQL query will return all the unique cap colors from the `mushrooms` table, ordered in ascending order. If you want to get all the rows with their corresponding cap colors, you can remove the `SELECT capcolor` part and use `*` instead, like this: - -```sql -SELECT * -FROM mushrooms -ORDER BY capcolor ASC; -```",0.5429899693,llama-8,715,0.0,0.152,1.0,0.0,1.0,0.0,0.5, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,ORDERBY,ORDERBY-PROJECT,SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` DESC,Project the capcolor ordered in descending order for the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.12e-05,"SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC -LIMIT N;","```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC; -``` - -This SQL query will return all the unique cap colors from the `mushrooms` table in descending order. If you want to get the top N cap colors, you can use the `LIMIT` clause: - -```sql -SELECT capcolor -FROM mushrooms -ORDER BY capcolor DESC -LIMIT N; -``` - -Replace `N` with the number of cap colors you want to retrieve.",0.6134474277,llama-8,716,,0.0,0.0,0.0,0.0,0.0,0.0,0.0 -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `sex` FROM `adultCensus`,Show all sex in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.14e-05,"SELECT DISTINCT sex -FROM adultCensus;","```sql -SELECT DISTINCT sex -FROM adultCensus; -``` - -This SQL query will return all unique values in the `sex` column from the `adultCensus` table. The `DISTINCT` keyword is used to remove duplicate values.",0.4699838161,llama-8,717,0.0,1.0,1.0,0.0,0.1,0.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `hoursperweek` FROM `adultCensus`,Show all hoursperweek in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.98e-05,"SELECT hoursperweek -FROM adultCensus;","```sql -SELECT hoursperweek -FROM adultCensus; -``` - -This SQL query will return all the values in the `hoursperweek` column from the `adultCensus` table.",0.4566962719,llama-8,718,0.9874439427813617,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `workclass` FROM `adultCensus`,Show all workclass in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.12e-05,"SELECT DISTINCT workclass -FROM adultCensus;","```sql -SELECT DISTINCT workclass -FROM adultCensus; -``` - -This SQL code will fetch all unique workclass values from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.",0.3767344952,llama-8,719,0.0,1.0,1.0,0.0,0.3,0.5,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT DISTINCT maritalstatus -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus -FROM adultCensus; -``` - -This SQL code will fetch all unique marital statuses from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.",0.4708945751,llama-8,720,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-SINGLE-COL,SELECT `education` FROM `adultCensus`,Show all education in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.76e-05,"SELECT education -FROM adultCensus;","```sql -SELECT education -FROM adultCensus; -``` - -This SQL query will fetch all the education values from the `adultCensus` table.",0.4111464024,llama-8,721,1.018049791070869,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-ALL,SELECT * FROM `adultCensus`,Show all the rows in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.06e-05,"SELECT * -FROM adultCensus;","```sql -SELECT * -FROM adultCensus; -``` - -This SQL query will return all rows from the `adultCensus` table. The `SELECT *` statement selects all columns (`*`) from the specified table.",0.3709566593,llama-8,722,1.0000437711394101,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,SELECT `maritalstatus` FROM `adultCensus`,Show all maritalstatus in the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT DISTINCT maritalstatus -FROM adultCensus;","```sql -SELECT DISTINCT maritalstatus -FROM adultCensus; -``` - -This SQL code will fetch all unique marital statuses from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.",0.4288966656,llama-8,723,0.0,1.0,1.0,0.0,0.2,0.25,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `race`, `nativecountry` FROM `adultCensus`","Show all race, nativecountry in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.2e-05,"SELECT - race, - nativecountry -FROM - adultCensus;","```sql -SELECT - race, - nativecountry -FROM - adultCensus; -``` - -This SQL query will return all the values in the `race` and `nativecountry` columns from the `adultCensus` table.",0.4919013977,llama-8,724,0.9911721718849468,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `nativecountry`, `occupation`, `race` FROM `adultCensus`","Show all nativecountry, occupation, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.2e-05,"SELECT - nativecountry, - occupation, - race -FROM - adultCensus;","```sql -SELECT - nativecountry, - occupation, - race -FROM - adultCensus; -``` - -This SQL query will fetch all the nativecountry, occupation, and race from the adultCensus table in the database.",0.3857042789,llama-8,725,1.0291525387085154,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `income`, `education`, `race` FROM `adultCensus`","Show all occupation, income, education, race in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.26e-05,"SELECT - occupation, - income, - education, - race -FROM - adultCensus;","```sql -SELECT - occupation, - income, - education, - race -FROM - adultCensus; -``` - -This SQL query will fetch all the occupation, income, education, and race from the `adultCensus` table.",0.6751365662,llama-8,726,1.0282760081793696,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `occupation`, `race`, `relationship`, `workclass`, `maritalstatus` FROM `adultCensus`","Show all occupation, race, relationship, workclass, maritalstatus in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.68e-05,"SELECT - occupation, - race, - relationship, - workclass, - maritalstatus -FROM - adultCensus;","```sql -SELECT - occupation, - race, - relationship, - workclass, - maritalstatus -FROM - adultCensus; -``` - -This SQL query will return all the specified columns (`occupation`, `race`, `relationship`, `workclass`, `maritalstatus`) from the `adultCensus` table.",0.4839549065,llama-8,727,1.0109095564456452,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education` FROM `adultCensus`","Show all sex, nativecountry, race, workclass, relationship, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.82e-05,"SELECT - sex, - nativecountry, - race, - workclass, - relationship, - education -FROM - adultCensus;","```sql -SELECT - sex, - nativecountry, - race, - workclass, - relationship, - education -FROM - adultCensus; -``` - -This SQL query will fetch all the specified columns (`sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education`) from the `adultCensus` table.",0.4988729954,llama-8,728,1.0060256132437648,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, `relationship` FROM `adultCensus`","Show all income, education, sex, race, maritalstatus, occupation, relationship in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.6e-05,"SELECT - income, - education, - sex, - race, - maritalstatus, - occupation, - relationship -FROM - adultCensus;","```sql -SELECT - income, - education, - sex, - race, - maritalstatus, - occupation, - relationship -FROM - adultCensus; -``` - -This SQL query will fetch all the specified columns from the `adultCensus` table.",0.4883348942,llama-8,729,1.3892969512032518,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `maritalstatus`, `relationship`, `workclass`, `sex`, `nativecountry`, `hoursperweek`, `income`, `education` FROM `adultCensus`","Show all maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.94e-05,"SELECT - maritalstatus, - relationship, - workclass, - sex, - nativecountry, - hoursperweek, - income, - education -FROM - adultCensus;","```sql -SELECT - maritalstatus, - relationship, - workclass, - sex, - nativecountry, - hoursperweek, - income, - education -FROM - adultCensus; -``` - -This SQL query will fetch all the specified columns from the `adultCensus` table in the database.",0.7312254906,llama-8,730,1.000355194856249,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,PROJECT,SELECT-RANDOM-COL,"SELECT `hoursperweek`, `race`, `maritalstatus`, `sex`, `relationship`, `nativecountry`, `income`, `occupation`, `workclass` FROM `adultCensus`","Show all hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass in the table adultCensus","`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.96e-05,"SELECT - hoursperweek, - race, - maritalstatus, - sex, - relationship, - nativecountry, - income, - occupation, - workclass -FROM adultCensus;","```sql -SELECT - hoursperweek, - race, - maritalstatus, - sex, - relationship, - nativecountry, - income, - occupation, - workclass -FROM adultCensus; -``` - -This SQL query will return all the specified columns from the `adultCensus` table.",0.3646059036,llama-8,731,0.9804479027136951,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `odor` FROM `mushrooms`,Show all odor in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.78e-05,"SELECT odor -FROM mushrooms;","```sql -SELECT odor -FROM mushrooms; -``` - -This SQL query will return all the values in the ""odor"" column from the ""mushrooms"" table.",0.3246922493,llama-8,732,1.0415176178592307,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.9e-05,"SELECT gillspacing -FROM mushrooms;","```sql -SELECT gillspacing -FROM mushrooms; -``` - -This SQL query will return all the values in the `gillspacing` column from the `mushrooms` table.",0.3138332367,llama-8,733,1.0086933802879354,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capshape` FROM `mushrooms`,Show all capshape in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.74e-05,"SELECT capshape -FROM mushrooms;","```sql -SELECT capshape -FROM mushrooms; -``` - -This SQL query will return all the capshape values from the ""mushrooms"" table.",0.3456828594,llama-8,734,1.0539769000216437,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `capsurface` FROM `mushrooms`,Show all capsurface in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.78e-05,"SELECT capsurface -FROM mushrooms -WHERE capsurface IS NOT NULL;","```sql -SELECT * -FROM mushrooms -WHERE capsurface IS NOT NULL; -``` - -This SQL query will return all rows from the `mushrooms` table where the `capsurface` column is not null. If you want to see only the `capsurface` column, you can modify the query as follows: - -```sql -SELECT capsurface -FROM mushrooms -WHERE capsurface IS NOT NULL; -```",0.5129580498,llama-8,735,1.0343163898960932,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-SINGLE-COL,SELECT `bruises` FROM `mushrooms`,Show all bruises in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.8e-05,"SELECT bruises -FROM mushrooms;","```sql -SELECT bruises -FROM mushrooms; -``` - -This SQL query will return all the values in the ""bruises"" column from the ""mushrooms"" table.",0.3530035019,llama-8,736,1.0155058996885775,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-ALL,SELECT * FROM `mushrooms`,Show all the rows in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.1e-05,"SELECT * FROM ""mushrooms"";","```sql -SELECT * FROM ""mushrooms""; -``` - -This SQL query will return all rows from the ""mushrooms"" table. The `SELECT *` statement is used to select all columns (`*`) from the specified table.",0.398296833,llama-8,737,1.0007550557195393,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,SELECT `gillspacing` FROM `mushrooms`,Show all gillspacing in the table mushrooms,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.9e-05,"SELECT gillspacing -FROM mushrooms;","```sql -SELECT gillspacing -FROM mushrooms; -``` - -This SQL query will return all the values in the `gillspacing` column from the `mushrooms` table.",0.4038381577,llama-8,738,1.0393088712557372,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `class` FROM `mushrooms`","Show all odor, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.96e-05,"SELECT odor, class -FROM mushrooms;","```sql -SELECT odor, class -FROM mushrooms; -``` - -This SQL query will return all the rows from the `mushrooms` table, selecting the `odor` and `class` columns.",0.2981052399,llama-8,739,1.0116649348425233,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `gillattachment`, `gillspacing` FROM `mushrooms`","Show all capcolor, gillattachment, gillspacing in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.56e-05,"SELECT - capcolor, - gillattachment, - gillspacing -FROM - mushrooms;","```sql -SELECT - capcolor, - gillattachment, - gillspacing -FROM - mushrooms; -``` - -This SQL code will fetch all the rows from the `mushrooms` table and return the `capcolor`, `gillattachment`, and `gillspacing` columns.",0.4078204632,llama-8,740,1.0054066562849846,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `gillcolor`, `odor`, `gillattachment` FROM `mushrooms`","Show all capsurface, gillcolor, odor, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.74e-05,"SELECT - capsurface, - gillcolor, - odor, - gillattachment -FROM - mushrooms;","```sql -SELECT - capsurface, - gillcolor, - odor, - gillattachment -FROM - mushrooms; -``` - -This SQL query will fetch all the rows from the `mushrooms` table and display the `capsurface`, `gillcolor`, `odor`, and `gillattachment` columns.",0.4547970295,llama-8,741,1.0191561079609173,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `odor`, `gillcolor`, `bruises`, `gillsize`, `gillattachment` FROM `mushrooms`","Show all odor, gillcolor, bruises, gillsize, gillattachment in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.92e-05,"SELECT - odor, - gillcolor, - bruises, - gillsize, - gillattachment -FROM - mushrooms;","```sql -SELECT - odor, - gillcolor, - bruises, - gillsize, - gillattachment -FROM - mushrooms; -``` - -This SQL query will return all the rows from the `mushrooms` table, selecting the specified columns (`odor`, `gillcolor`, `bruises`, `gillsize`, and `gillattachment`).",0.5724151134,llama-8,742,0.9968573086447019,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor` FROM `mushrooms`","Show all capsurface, class, odor, gillcolor, bruises, capcolor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.88e-05,"SELECT - capsurface, - class, - odor, - gillcolor, - bruises, - capcolor -FROM - mushrooms;","```sql -SELECT - capsurface, - class, - odor, - gillcolor, - bruises, - capcolor -FROM - mushrooms; -``` - -This SQL query will fetch all the specified columns (`capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor`) from the `mushrooms` table.",0.397613287,llama-8,743,0.9507922127556845,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises` FROM `mushrooms`","Show all gillattachment, gillspacing, capshape, class, capsurface, odor, bruises in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.16e-05,"SELECT - gillattachment, - gillspacing, - capshape, - class, - capsurface, - odor, - bruises -FROM - mushrooms;","```sql -SELECT - gillattachment, - gillspacing, - capshape, - class, - capsurface, - odor, - bruises -FROM - mushrooms; -``` - -This SQL query will fetch all the specified columns (`gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises`) from the `mushrooms` table.",0.5195379257,llama-8,744,1.00584694738339,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class` FROM `mushrooms`","Show all capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.62e-05,"SELECT - capcolor, - capshape, - gillcolor, - gillspacing, - odor, - gillattachment, - capsurface, - class -FROM - mushrooms;","```sql -SELECT - capcolor, - capshape, - gillcolor, - gillspacing, - odor, - gillattachment, - capsurface, - class -FROM - mushrooms; -``` - -This SQL query will return all the specified columns (`capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class`) from the `mushrooms` table.",0.5971670151,llama-8,745,1.0269605961622554,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,PROJECT,SELECT-RANDOM-COL,"SELECT `capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor` FROM `mushrooms`","Show all capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor in the table mushrooms","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",6.82e-05,"SELECT - capcolor, - capshape, - class, - gillcolor, - gillspacing, - bruises, - gillattachment, - capsurface, - odor -FROM - mushrooms;","```sql -SELECT - capcolor, - capshape, - class, - gillcolor, - gillspacing, - bruises, - gillattachment, - capsurface, - odor -FROM - mushrooms; -``` - -This SQL code will fetch all the specified columns (`capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor`) from the `mushrooms` table.",0.6180560589,llama-8,746,1.0120898916749097,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` == 'Husband',Show the data of the table adultCensus where relationship is equal to Husband,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.28e-05,"SELECT * -FROM adultCensus -WHERE relationship = 'Husband';","```sql -SELECT * -FROM adultCensus -WHERE relationship = 'Husband'; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the `relationship` column is equal to `'Husband'`.",0.3533773422,llama-8,747,1.0105625526432538,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Own-child',Show the data of the table adultCensus where relationship is different from Own-child,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.26e-05,"SELECT * -FROM adultCensus -WHERE relationship != 'Own-child';","```sql -SELECT * -FROM adultCensus -WHERE relationship != 'Own-child'; -``` - -This SQL query will fetch all the data from the `adultCensus` table where the `relationship` is not equal to `'Own-child'`.",0.4152486324,llama-8,748,1.014507059831071,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `relationship` != 'Wife',Show the data of the table adultCensus where relationship not equal to Wife,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.22e-05,"SELECT * -FROM adultCensus -WHERE relationship != 'Wife';","```sql -SELECT * -FROM adultCensus -WHERE relationship != 'Wife'; -``` - -This SQL query will fetch all the data from the `adultCensus` table where the `relationship` column does not equal 'Wife'.",0.415201664,llama-8,749,1.0376597414902957,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` == 'Some-college',Show the data of the table adultCensus where education is equal to Some-college,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.32e-05,"SELECT * -FROM adultCensus -WHERE education = 'Some-college';","```sql -SELECT * -FROM adultCensus -WHERE education = 'Some-college'; -``` - -This SQL query will fetch all the data from the `adultCensus` table where the `education` column is equal to `'Some-college'`.",0.314678669,llama-8,750,0.9978583337773017,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != '10th',Show the data of the table adultCensus where education is different from 10th,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.34e-05,"SELECT * -FROM adultCensus -WHERE education != '10th';","```sql -SELECT * -FROM adultCensus -WHERE education != '10th'; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the `education` column is not equal to `'10th'`.",0.507789135,llama-8,751,1.038550728245488,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `education` != 'Masters',Show the data of the table adultCensus where education not equal to Masters,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.26e-05,"SELECT * -FROM adultCensus -WHERE education != 'Masters';","```sql -SELECT * -FROM adultCensus -WHERE education != 'Masters'; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the `education` column does not equal 'Masters'.",0.4402785301,llama-8,752,0.9951533365142672,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` == 'Germany',Show the data of the table adultCensus where nativecountry is equal to Germany,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.32e-05,"SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany';","```sql -SELECT * -FROM adultCensus -WHERE nativecountry = 'Germany'; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the `nativecountry` column is equal to `'Germany'`.",0.3570351601,llama-8,753,1.03201362933821,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'United-States',Show the data of the table adultCensus where nativecountry is different from United-States,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.5e-05,"SELECT * -FROM adultCensus -WHERE nativecountry != 'United-States';","```sql -SELECT * -FROM adultCensus -WHERE nativecountry != 'United-States'; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `nativecountry` column is not equal to `'United-States'`.",0.4206430912,llama-8,754,1.011003064652528,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-CAT,SELECT * FROM `adultCensus` WHERE `nativecountry` != 'Mexico',Show the data of the table adultCensus where nativecountry not equal to Mexico,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.36e-05,"SELECT * -FROM adultCensus -WHERE nativecountry != 'Mexico';","```sql -SELECT * -FROM adultCensus -WHERE nativecountry != 'Mexico'; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `nativecountry` column is not equal to 'Mexico'.",0.4207532406,llama-8,755,1.0043031493177346,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` > 40,Show the data of the table adultCensus where hoursperweek is greater than 40,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.42e-05,"SELECT * -FROM adultCensus -WHERE hoursperweek > 40;","```sql -SELECT * -FROM adultCensus -WHERE hoursperweek > 40; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `hoursperweek` column is greater than 40.",0.4173192978,llama-8,756,1.0364151088600677,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SELECT,WHERE-NUM,SELECT * FROM `adultCensus` WHERE `hoursperweek` < 60,Show the data of the table adultCensus where hoursperweek is less than 60,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.42e-05,"SELECT * -FROM adultCensus -WHERE hoursperweek < 60;","```sql -SELECT * -FROM adultCensus -WHERE hoursperweek < 60; -``` - -This SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `hoursperweek` column is less than 60.",0.5355131626,llama-8,757,0.9957093570588613,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` == 'attached',Show the data of the table mushrooms where gillattachment is equal to attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.26e-05,"SELECT * -FROM mushrooms -WHERE gillattachment = 'attached';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment = 'attached'; -``` - -This SQL query will return all columns (`*`) from the `mushrooms` table where the `gillattachment` is equal to `'attached'`.",0.4787602425,llama-8,758,1.0543260287628462,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'attached',Show the data of the table mushrooms where gillattachment is different from attached,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.3e-05,"SELECT * -FROM mushrooms -WHERE gillattachment != 'attached';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment != 'attached'; -``` - -This SQL query will return all rows from the `mushrooms` table where the value in the `gillattachment` column is not equal to `'attached'`.",0.4372572899,llama-8,759,1.0062765531364368,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillattachment` != 'free',Show the data of the table mushrooms where gillattachment not equal to free,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.24e-05,"SELECT * -FROM mushrooms -WHERE gillattachment != 'free';","```sql -SELECT * -FROM mushrooms -WHERE gillattachment != 'free'; -``` - -This SQL query will fetch all the rows from the `mushrooms` table where the `gillattachment` is not equal to `'free'`.",0.4515557289,llama-8,760,1.0058439216754111,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` == 'narrow',Show the data of the table mushrooms where gillsize is equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.3e-05,"SELECT * -FROM mushrooms -WHERE gillsize = 'narrow';","```sql -SELECT * -FROM mushrooms -WHERE gillsize = 'narrow'; -``` - -This SQL query will return all columns (`*`) from the `mushrooms` table where the `gillsize` is equal to `'narrow'`.",0.7949953079,llama-8,761,0.9919479137079926,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize is different from narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.24e-05,"SELECT * -FROM mushrooms -WHERE gillsize != 'narrow';","```sql -SELECT * -FROM mushrooms -WHERE gillsize != 'narrow'; -``` - -This SQL query will return all rows from the `mushrooms` table where the `gillsize` is not equal to 'narrow'.",0.5253083706,llama-8,762,0.9965938840694429,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow',Show the data of the table mushrooms where gillsize not equal to narrow,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.32e-05,"SELECT * -FROM mushrooms -WHERE gillsize != 'narrow';","```sql -SELECT * -FROM mushrooms -WHERE gillsize != 'narrow'; -``` - -This SQL query will return all columns (`*`) from the `mushrooms` table where the `gillsize` is not equal to `'narrow'`.",0.5251128674,llama-8,763,1.0054113782849496,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` == 'no',Show the data of the table mushrooms where bruises is equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.24e-05,"SELECT * -FROM mushrooms -WHERE bruises = 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises = 'no'; -``` - -This SQL query will return all columns (`*`) from the `mushrooms` table where the value in the `bruises` column is equal to `'no'`.",0.3435456753,llama-8,764,1.0045062442084784,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises is different from no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.2e-05,"SELECT * -FROM mushrooms -WHERE bruises != 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises != 'no'; -``` - -This SQL query will return all the rows from the `mushrooms` table where the value in the `bruises` column is not equal to 'no'.",0.7319447994,llama-8,765,1.005467392082927,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SELECT,WHERE-CAT,SELECT * FROM `mushrooms` WHERE `bruises` != 'no',Show the data of the table mushrooms where bruises not equal to no,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.26e-05,"SELECT * -FROM mushrooms -WHERE bruises != 'no';","```sql -SELECT * -FROM mushrooms -WHERE bruises != 'no'; -``` - -This SQL query will return all columns (`*`) from the `mushrooms` table where the value in the `bruises` column is not equal to `'no'`.",0.4496941566,llama-8,766,1.0502579025339311,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `race`) FROM `adultCensus`,How many different race are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.38e-05,"SELECT COUNT(DISTINCT ""race"") -FROM ""adultCensus"";","```sql -SELECT COUNT(DISTINCT ""race"") -FROM ""adultCensus""; -``` - -This SQL query will return the number of different races in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.405731678,llama-8,767,1.0053772180561062,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`,How many different nativecountry are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT COUNT(DISTINCT nativecountry) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT nativecountry) -FROM adultCensus; -``` - -This SQL query will return the number of different native countries in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `nativecountry` column.",0.3768401146,llama-8,768,0.9895227712057866,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `workclass`) FROM `adultCensus`,How many different workclass are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT COUNT(DISTINCT workclass) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT workclass) -FROM adultCensus; -``` - -This SQL query will return the number of different workclass in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `workclass` column.",0.4317312241,llama-8,769,1.0555623468189594,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `education`) FROM `adultCensus`,How many different education are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.4e-05,"SELECT COUNT(DISTINCT education) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT education) -FROM adultCensus; -``` - -This SQL query will return the number of different education levels in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `education` column.",0.4374403954,llama-8,770,1.0012889529849518,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `income`) FROM `adultCensus`,How many different income are in table adultCensus?,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.36e-05,"SELECT COUNT(DISTINCT income) -FROM adultCensus;","```sql -SELECT COUNT(DISTINCT income) -FROM adultCensus; -``` - -This SQL code will return the number of different income values in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.",0.4691720009,llama-8,771,1.0184124875873881,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MAX,SELECT MAX(`hoursperweek`) FROM `adultCensus`,Find the maximum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5e-05,"SELECT MAX(hoursperweek) -FROM adultCensus;","```sql -SELECT MAX(hoursperweek) -FROM adultCensus; -``` - -This SQL query will return the maximum value of `hoursperweek` from the `adultCensus` table.",0.3275504112,llama-8,772,1.0219339300105155,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-MIN,SELECT MIN(`hoursperweek`) FROM `adultCensus`,Find the minimum hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5e-05,"SELECT MIN(hoursperweek) -FROM adultCensus;","```sql -SELECT MIN(hoursperweek) -FROM adultCensus; -``` - -This SQL query will return the minimum value of `hoursperweek` from the `adultCensus` table.",0.3259060383,llama-8,773,1.0000269115045421,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,adultCensus,SIMPLE-AGG,SIMPLE-AGG-AVG,SELECT AVG(`hoursperweek`) FROM `adultCensus`,Find the average hoursperweek for the table adultCensus,"`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",4.88e-05,"SELECT AVG(hoursperweek) -FROM adultCensus;","```sql -SELECT AVG(hoursperweek) -FROM adultCensus; -``` - -This SQL query will return the average hoursperweek for the table adultCensus.",0.381765604,llama-8,774,0.9894208839707042,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`,How many different capsurface are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.56e-05,"SELECT COUNT(DISTINCT capsurface) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT capsurface) -FROM mushrooms; -``` - -This SQL query will return the number of different `capsurface` values in the `mushrooms` table. The `DISTINCT` keyword is used to select only unique values. The `COUNT` function is then used to count the number of these unique values.",0.4358716011,llama-8,775,1.0187035293883795,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`,How many different gillattachment are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.46e-05,"SELECT COUNT(DISTINCT gillattachment) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillattachment) -FROM mushrooms; -``` - -This SQL code will return the number of different `gillattachment` values in the `mushrooms` table. The `DISTINCT` keyword is used to remove duplicate values and count only unique `gillattachment` values.",0.3834676743,llama-8,776,1.0050679306980563,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `odor`) FROM `mushrooms`,How many different odor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.52e-05,"SELECT COUNT(DISTINCT odor) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT odor) -FROM mushrooms; -``` - -This SQL query will return the number of different odors in the `mushrooms` table. The `DISTINCT` keyword is used to remove duplicate values from the `odor` column, and then `COUNT` is used to count the number of unique values.",0.4524383545,llama-8,777,1.0116747053267416,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`,How many different gillsize are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.28e-05,"SELECT COUNT(DISTINCT gillsize) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillsize) -FROM mushrooms; -``` - -This SQL query will return the number of different `gillsize` values in the `mushrooms` table. The `DISTINCT` keyword is used to count only unique values.",0.4126172066,llama-8,778,1.030452722780274,1.0,1.0,1.0,1.0,1.0,, -./data/databases/Proprietary/miscellaneous/miscellaneous.sqlite,Miscellaneous,mushrooms,SIMPLE-AGG,SIMPLE-AGG-COUNT-DISTINCT,SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`,How many different gillcolor are in table mushrooms?,"`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT)","`""mushrooms""` (""class"" TEXT, ""capshape"" TEXT, ""capsurface"" TEXT, ""capcolor"" TEXT, ""bruises"" TEXT, ""odor"" TEXT, ""gillattachment"" TEXT, ""gillspacing"" TEXT, ""gillsize"" TEXT, ""gillcolor"" TEXT) -`""adultCensus""` (""workclass"" TEXT, ""education"" TEXT, ""maritalstatus"" TEXT, ""occupation"" TEXT, ""relationship"" TEXT, ""race"" TEXT, ""sex"" TEXT, ""hoursperweek"" INTEGER, ""nativecountry"" TEXT, ""income"" TEXT)",5.52e-05,"SELECT COUNT(DISTINCT gillcolor) -FROM mushrooms;","```sql -SELECT COUNT(DISTINCT gillcolor) -FROM mushrooms; -``` - -This SQL code will return the number of different `gillcolor` values in the `mushrooms` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `gillcolor` column.",0.3574252129,llama-8,779,1.014897356084952,1.0,1.0,1.0,1.0,1.0,,