diff --git "a/cache_model_prediction/gpt-4o-mini_predictions.json" "b/cache_model_prediction/gpt-4o-mini_predictions.json"
new file mode 100644--- /dev/null
+++ "b/cache_model_prediction/gpt-4o-mini_predictions.json"
@@ -0,0 +1,780 @@
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `devicetype` FROM `fitnessTrackers`","question":"Show the different devicetype in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT DISTINCT devicetype \nFROM fitnessTrackers;\n```","cost":0.00003465,"response_parsed":"SELECT DISTINCT devicetype \nFROM fitnessTrackers;","time":0.9658148289}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `modelname` FROM `fitnessTrackers`","question":"Show the different modelname in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the different `modelname` values from the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT modelname FROM fitnessTrackers;\n``` \n\nThis query retrieves all unique model names from the specified table.","cost":0.0000567,"response_parsed":"SELECT DISTINCT modelname FROM fitnessTrackers;","time":1.1540057659}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `color` FROM `fitnessTrackers`","question":"Show the different color in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the distinct colors from the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT color FROM fitnessTrackers;\n```","cost":0.00004575,"response_parsed":"SELECT DISTINCT color FROM fitnessTrackers;","time":1.0019373894}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `display` FROM `fitnessTrackers`","question":"Show the different display in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To show the different display types in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT display FROM fitnessTrackers;\n``` \n\nThis query selects unique values from the `display` column of the `fitnessTrackers` table, which reflects the different display types available in that table.","cost":0.00006555,"response_parsed":"SELECT DISTINCT display FROM fitnessTrackers;","time":1.6275887489}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `brandname` FROM `fitnessTrackers`","question":"Show the different brandname in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT DISTINCT brandname FROM fitnessTrackers;\n```","cost":0.0000333,"response_parsed":"SELECT DISTINCT brandname FROM fitnessTrackers;","time":0.5442166328}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `transactionno` FROM `salesTransactions`","question":"Show the different transactionno in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the different transaction numbers from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT transactionno FROM salesTransactions;\n```","cost":0.00004575,"response_parsed":"SELECT DISTINCT transactionno FROM salesTransactions;","time":1.0172896385}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `date` FROM `salesTransactions`","question":"Show the different date in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the distinct dates from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT date \nFROM salesTransactions;\n```","cost":0.000045,"response_parsed":"SELECT DISTINCT date \nFROM salesTransactions;","time":1.1026716232}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `productno` FROM `salesTransactions`","question":"Show the different productno in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the distinct product numbers from the `salesTransactions` table:\n\n```sql\nSELECT DISTINCT productno\nFROM salesTransactions;\n```","cost":0.00004455,"response_parsed":"SELECT DISTINCT productno\nFROM salesTransactions;","time":0.7551431656}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `productname` FROM `salesTransactions`","question":"Show the different productname in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the different product names from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT productname FROM salesTransactions;\n```","cost":0.00004575,"response_parsed":"SELECT DISTINCT productname FROM salesTransactions;","time":0.7452754974}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `country` FROM `salesTransactions`","question":"Show the different country in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT DISTINCT country FROM salesTransactions;\n```","cost":0.0000546,"response_parsed":"SELECT DISTINCT country FROM salesTransactions;","time":1.6750817299}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `display`, COUNT(*) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, count the number of rows in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `fitnessTrackers` table for each display, you can use the following SQL code:\n\n```sql\nSELECT display, COUNT(*) AS row_count\nFROM fitnessTrackers\nGROUP BY display;\n``` \n\nThis 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.","cost":0.00007815,"response_parsed":"SELECT display, COUNT(*) AS row_count\nFROM fitnessTrackers\nGROUP BY display;","time":1.6339755058}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `devicetype`, COUNT(*) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, count the number of rows in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT devicetype, COUNT(*) AS device_count\nFROM fitnessTrackers\nGROUP BY devicetype;\n```","cost":0.00004185,"response_parsed":"SELECT devicetype, COUNT(*) AS device_count\nFROM fitnessTrackers\nGROUP BY devicetype;","time":0.740847826}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `modelname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `modelname`","question":"For each modelname, count the number of rows in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `fitnessTrackers` table for each unique `modelname`, you can use the following SQL code:\n\n```sql\nSELECT modelname, COUNT(*) AS row_count\nFROM fitnessTrackers\nGROUP BY modelname;\n```","cost":0.0000579,"response_parsed":"SELECT modelname, COUNT(*) AS row_count\nFROM fitnessTrackers\nGROUP BY modelname;","time":1.2044944763}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `strapmaterial`, COUNT(*) FROM `fitnessTrackers` GROUP BY `strapmaterial`","question":"For each strapmaterial, count the number of rows in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `fitnessTrackers` table for each `strapmaterial`, you can use the following SQL query:\n\n```sql\nSELECT strapmaterial, COUNT(*) AS count\nFROM fitnessTrackers\nGROUP BY strapmaterial;\n``` \n\nThis SQL code selects the `strapmaterial` field and counts the number of records associated with each distinct `strapmaterial`, grouping the results accordingly.","cost":0.0000747,"response_parsed":"SELECT strapmaterial, COUNT(*) AS count\nFROM fitnessTrackers\nGROUP BY strapmaterial;","time":1.6267771721}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `brandname`, COUNT(*) FROM `fitnessTrackers` GROUP BY `brandname`","question":"For each brandname, count the number of rows in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To count the number of rows for each brandname in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT brandname, COUNT(*) AS count\nFROM fitnessTrackers\nGROUP BY brandname;\n```","cost":0.0000561,"response_parsed":"SELECT brandname, COUNT(*) AS count\nFROM fitnessTrackers\nGROUP BY brandname;","time":1.0195071697}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `devicetype`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the min of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT devicetype, MIN(sellingprice) AS min_sellingprice\nFROM fitnessTrackers\nGROUP BY devicetype;\n```","cost":0.000045,"response_parsed":"SELECT devicetype, MIN(sellingprice) AS min_sellingprice\nFROM fitnessTrackers\nGROUP BY devicetype;","time":0.7027225494}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `devicetype`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the max of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT devicetype, MAX(sellingprice) AS max_sellingprice\nFROM fitnessTrackers\nGROUP BY devicetype;\n```","cost":0.000045,"response_parsed":"SELECT devicetype, MAX(sellingprice) AS max_sellingprice\nFROM fitnessTrackers\nGROUP BY devicetype;","time":0.6312119961}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `devicetype`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the avg of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To get the average selling price for each device type in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, AVG(sellingprice) AS average_selling_price\nFROM fitnessTrackers\nGROUP BY devicetype;\n```","cost":0.0000612,"response_parsed":"SELECT devicetype, AVG(sellingprice) AS average_selling_price\nFROM fitnessTrackers\nGROUP BY devicetype;","time":1.0602562428}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `devicetype`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the sum of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the sum of selling prices grouped by device type from the `fitnessTrackers` table:\n\n```sql\nSELECT devicetype, SUM(sellingprice) AS total_selling_price\nFROM fitnessTrackers\nGROUP BY devicetype;\n```","cost":0.00006,"response_parsed":"SELECT devicetype, SUM(sellingprice) AS total_selling_price\nFROM fitnessTrackers\nGROUP BY devicetype;","time":1.4726617336}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `devicetype`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the min of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the minimum of the average battery life for each device type in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, MIN(averagebatterylife) AS min_average_battery_life\nFROM fitnessTrackers\nGROUP BY devicetype;\n``` \n\nThis query selects the `devicetype` and the minimum `averagebatterylife` for each device type by grouping the results according to `devicetype`.","cost":0.00008745,"response_parsed":"SELECT devicetype, MIN(averagebatterylife) AS min_average_battery_life\nFROM fitnessTrackers\nGROUP BY devicetype;","time":2.7073554993}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `devicetype`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the max of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT devicetype, MAX(average_battery_life) AS max_average_battery_life\nFROM (\n    SELECT devicetype, AVG(averagebatterylife) AS average_battery_life\n    FROM fitnessTrackers\n    GROUP BY devicetype\n) AS avg_battery_life_per_device\nGROUP BY devicetype;\n```\n\nThis query first creates a derived table that calculates the average `averagebatterylife` for each `devicetype`. Then, it takes the maximum of these averages.","cost":0.00012405,"response_parsed":"SELECT devicetype, MAX(average_battery_life) AS max_average_battery_life\nFROM (\n    SELECT devicetype, AVG(averagebatterylife) AS average_battery_life\n    FROM fitnessTrackers\n    GROUP BY devicetype\n) AS avg_battery_life_per_device\nGROUP BY devicetype;","time":2.9888079166}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `devicetype`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the avg of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To retrieve the average of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, AVG(averagebatterylife) AS avg_battery_life\nFROM fitnessTrackers\nGROUP BY devicetype;\n```","cost":0.00006945,"response_parsed":"SELECT devicetype, AVG(averagebatterylife) AS avg_battery_life\nFROM fitnessTrackers\nGROUP BY devicetype;","time":1.3606138229}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `devicetype`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `devicetype`","question":"For each devicetype, find the sum of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To answer the question regarding the sum of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, SUM(averagebatterylife) AS total_average_batterylife\nFROM fitnessTrackers\nGROUP BY devicetype;\n``` \n\nThis SQL code will group the records by `devicetype` and calculate the sum of `averagebatterylife` for each group.","cost":0.00008985,"response_parsed":"SELECT devicetype, SUM(averagebatterylife) AS total_average_batterylife\nFROM fitnessTrackers\nGROUP BY devicetype;","time":1.9149124622}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `display`, MIN(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the min of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the minimum selling price for each display in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT display, MIN(sellingprice) AS min_sellingprice\nFROM fitnessTrackers\nGROUP BY display;\n``` \n\nThis query selects the display and the minimum selling price grouped by each unique display in the `fitnessTrackers` table.","cost":0.0000729,"response_parsed":"SELECT display, MIN(sellingprice) AS min_sellingprice\nFROM fitnessTrackers\nGROUP BY display;","time":1.9542481899}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `display`, MAX(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the max of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the maximum selling price of fitness trackers for each display:\n\n```sql\nSELECT display, MAX(sellingprice) AS max_sellingprice\nFROM fitnessTrackers\nGROUP BY display;\n```","cost":0.0000531,"response_parsed":"SELECT display, MAX(sellingprice) AS max_sellingprice\nFROM fitnessTrackers\nGROUP BY display;","time":1.7393097878}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `display`, AVG(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the avg of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the average selling price for each display in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT display, AVG(sellingprice) AS average_selling_price\nFROM fitnessTrackers\nGROUP BY display;\n```","cost":0.0000579,"response_parsed":"SELECT display, AVG(sellingprice) AS average_selling_price\nFROM fitnessTrackers\nGROUP BY display;","time":0.9816167355}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `display`, SUM(`sellingprice`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the sum of sellingprice in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT display, SUM(sellingprice) AS total_selling_price\nFROM fitnessTrackers\nGROUP BY display;\n```","cost":0.0000423,"response_parsed":"SELECT display, SUM(sellingprice) AS total_selling_price\nFROM fitnessTrackers\nGROUP BY display;","time":0.9147207737}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `display`, MIN(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the min of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the minimum of the average battery life for each display in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT display, MIN(averagebatterylife) AS min_average_batterylife\nFROM fitnessTrackers\nGROUP BY display;\n``` \n\nThis query groups the data by the `display` column and calculates the minimum value of `averagebatterylife` for each display group.","cost":0.00008115,"response_parsed":"SELECT display, MIN(averagebatterylife) AS min_average_batterylife\nFROM fitnessTrackers\nGROUP BY display;","time":1.7940504551}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `display`, MAX(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the max of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the maximum of average battery life for each display in the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT display, MAX(averagebatterylife) AS max_average_batterylife\nFROM fitnessTrackers\nGROUP BY display;\n``` \n\nThis query selects the display type and the maximum average battery life, grouping the results by each unique display.","cost":0.00007575,"response_parsed":"SELECT display, MAX(averagebatterylife) AS max_average_batterylife\nFROM fitnessTrackers\nGROUP BY display;","time":1.5844259262}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `display`, AVG(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the avg of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the average of `averagebatterylife` for each `display` from the `fitnessTrackers` table:\n\n```sql\nSELECT display, AVG(averagebatterylife) AS avg_battery_life\nFROM fitnessTrackers\nGROUP BY display;\n```","cost":0.00006375,"response_parsed":"SELECT display, AVG(averagebatterylife) AS avg_battery_life\nFROM fitnessTrackers\nGROUP BY display;","time":1.200792551}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `display`, SUM(`averagebatterylife`) FROM `fitnessTrackers` GROUP BY `display`","question":"For each display, find the sum of averagebatterylife in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the sum of `averagebatterylife` grouped by each `display` in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT display, SUM(averagebatterylife) AS total_average_battery_life\nFROM fitnessTrackers\nGROUP BY display;\n```","cost":0.00006675,"response_parsed":"SELECT display, SUM(averagebatterylife) AS total_average_battery_life\nFROM fitnessTrackers\nGROUP BY display;","time":0.9985020161}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `transactionno`, COUNT(*) FROM `salesTransactions` GROUP BY `transactionno`","question":"For each transactionno, count the number of rows in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `salesTransactions` table for each `transactionno`, you can use the following SQL query:\n\n```sql\nSELECT transactionno, COUNT(*) AS row_count\nFROM salesTransactions\nGROUP BY transactionno;\n```","cost":0.00005595,"response_parsed":"SELECT transactionno, COUNT(*) AS row_count\nFROM salesTransactions\nGROUP BY transactionno;","time":1.3429408073}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `date`, COUNT(*) FROM `salesTransactions` GROUP BY `date`","question":"For each date, count the number of rows in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT date, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY date\nORDER BY date;\n```","cost":0.0000408,"response_parsed":"SELECT date, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY date\nORDER BY date;","time":1.8964927197}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `productno`, COUNT(*) FROM `salesTransactions` GROUP BY `productno`","question":"For each productno, count the number of rows in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT productno, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY productno;\n```","cost":0.00003975,"response_parsed":"SELECT productno, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY productno;","time":0.7478260994}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `productname`, COUNT(*) FROM `salesTransactions` GROUP BY `productname`","question":"For each productname, count the number of rows in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `salesTransactions` table for each `productname`, you can use the following SQL query:\n\n```sql\nSELECT productname, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY productname;\n```","cost":0.00005595,"response_parsed":"SELECT productname, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY productname;","time":1.3560466766}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `country`, COUNT(*) FROM `salesTransactions` GROUP BY `country`","question":"For each country, count the number of rows in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT country, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY country;\n```","cost":0.0000384,"response_parsed":"SELECT country, COUNT(*) AS transaction_count\nFROM salesTransactions\nGROUP BY country;","time":0.7087953091}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `date`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the min of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the minimum `customerno` for each date from the `salesTransactions` table, the SQL query would look like this:\n\n```sql\nSELECT date, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY date;\n```","cost":0.00005655,"response_parsed":"SELECT date, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY date;","time":1.0744109154}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `date`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the max of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the maximum `customerno` for each date in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT date, MAX(customerno) AS max_customerno\nFROM salesTransactions\nGROUP BY date;\n```","cost":0.00005655,"response_parsed":"SELECT date, MAX(customerno) AS max_customerno\nFROM salesTransactions\nGROUP BY date;","time":0.8679893017}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `date`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the avg of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the average of `customerno` for each date in the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT date, AVG(customerno) AS avg_customerno\nFROM salesTransactions\nGROUP BY date;\n```","cost":0.00005715,"response_parsed":"SELECT date, AVG(customerno) AS avg_customerno\nFROM salesTransactions\nGROUP BY date;","time":1.1199879646}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `date`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the sum of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the sum of `customerno` for each date in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT date, SUM(customerno) AS total_customerno\nFROM salesTransactions\nGROUP BY date;\n```","cost":0.00005715,"response_parsed":"SELECT date, SUM(customerno) AS total_customerno\nFROM salesTransactions\nGROUP BY date;","time":1.0319161415}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `date`, MIN(`price`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the min of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT date, MIN(price) AS min_price\nFROM salesTransactions\nGROUP BY date;\n```","cost":0.000039,"response_parsed":"SELECT date, MIN(price) AS min_price\nFROM salesTransactions\nGROUP BY date;","time":0.6742432117}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `date`, MAX(`price`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the max of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To answer the question of fetching the maximum price for each date from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT date, MAX(price) AS max_price\nFROM salesTransactions\nGROUP BY date;\n``` \n\nThis query will group the results by the `date` column and return the maximum `price` for each unique date.","cost":0.0000708,"response_parsed":"SELECT date, MAX(price) AS max_price\nFROM salesTransactions\nGROUP BY date;","time":1.5414843559}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `date`, AVG(`price`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the avg of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the average price from the `salesTransactions` table for each date, you can use the following SQL code:\n\n```sql\nSELECT date, AVG(price) AS avg_price\nFROM salesTransactions\nGROUP BY date;\n```","cost":0.0000534,"response_parsed":"SELECT date, AVG(price) AS avg_price\nFROM salesTransactions\nGROUP BY date;","time":1.0422954559}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `date`, SUM(`price`) FROM `salesTransactions` GROUP BY `date`","question":"For each date, find the sum of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT date, SUM(price) AS total_price\nFROM salesTransactions\nGROUP BY date;\n```","cost":0.000039,"response_parsed":"SELECT date, SUM(price) AS total_price\nFROM salesTransactions\nGROUP BY date;","time":0.8721802235}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `country`, MIN(`customerno`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the min of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the minimum `customerno` for each country from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT country, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY country;\n```","cost":0.00005655,"response_parsed":"SELECT country, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY country;","time":1.4388844967}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `country`, MAX(`customerno`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the max of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT country, MAX(customerno) AS max_customerno\nFROM salesTransactions\nGROUP BY country;\n```","cost":0.00004035,"response_parsed":"SELECT country, MAX(customerno) AS max_customerno\nFROM salesTransactions\nGROUP BY country;","time":0.8028576374}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `country`, AVG(`customerno`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the avg of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the average of `customerno` for each country from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT country, AVG(customerno) AS avg_customerno\nFROM salesTransactions\nGROUP BY country;\n``` \n\nThis query selects the `country` and the average of `customerno`, grouping the results by each unique country.","cost":0.00007155,"response_parsed":"SELECT country, AVG(customerno) AS avg_customerno\nFROM salesTransactions\nGROUP BY country;","time":2.1357357502}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `country`, SUM(`customerno`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the sum of customerno in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the sum of `customerno` for each country from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country, SUM(customerno) AS total_customerno\nFROM salesTransactions\nGROUP BY country;\n``` \n\nThis query groups the transactions by `country` and calculates the total sum of `customerno` for each country.","cost":0.00007155,"response_parsed":"SELECT country, SUM(customerno) AS total_customerno\nFROM salesTransactions\nGROUP BY country;","time":1.0526385307}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `country`, MIN(`price`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the min of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To retrieve the minimum price for each country from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country, MIN(price) AS min_price\nFROM salesTransactions\nGROUP BY country;\n``` \n\nThis 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.","cost":0.0000762,"response_parsed":"SELECT country, MIN(price) AS min_price\nFROM salesTransactions\nGROUP BY country;","time":1.5983870029}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `country`, MAX(`price`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the max of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To get the maximum price for each country from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country, MAX(price) AS max_price\nFROM salesTransactions\nGROUP BY country;\n```","cost":0.0000534,"response_parsed":"SELECT country, MAX(price) AS max_price\nFROM salesTransactions\nGROUP BY country;","time":1.0001432896}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `country`, AVG(`price`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the avg of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT country, AVG(price) AS avg_price\nFROM salesTransactions\nGROUP BY country;\n```","cost":0.000039,"response_parsed":"SELECT country, AVG(price) AS avg_price\nFROM salesTransactions\nGROUP BY country;","time":0.553260088}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `country`, SUM(`price`) FROM `salesTransactions` GROUP BY `country`","question":"For each country, find the sum of price in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT country, SUM(price) AS total_price\nFROM salesTransactions\nGROUP BY country;\n```","cost":0.000039,"response_parsed":"SELECT country, SUM(price) AS total_price\nFROM salesTransactions\nGROUP BY country;","time":0.72204566}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) >= 1","question":"Find all the modelname that have at least 1 records in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find all the `modelname` entries that have at least one record in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT modelname\nFROM fitnessTrackers\nWHERE modelname IS NOT NULL;\n```\n\nThis 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.","cost":0.0000858,"response_parsed":"SELECT DISTINCT modelname\nFROM fitnessTrackers\nWHERE modelname IS NOT NULL;","time":1.5605554581}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING count(*) <= 1","question":"Find all the modelname that have at most 1 records in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING COUNT(*) <= 1;\n```","cost":0.000075,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING COUNT(*) <= 1;","time":3.3813707829}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) >= 1","question":"Find all the color that have at least 1 records in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find all the colors that have at least one record in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT color \nFROM fitnessTrackers \nWHERE color IS NOT NULL;\n```\n\nThis 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.","cost":0.00008385,"response_parsed":"SELECT DISTINCT color \nFROM fitnessTrackers \nWHERE color IS NOT NULL;","time":2.3791873455}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING count(*) <= 1","question":"Find all the color that have at most 1 records in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"You can use the following SQL code to find all colors that have at most 1 record in the `fitnessTrackers` table:\n\n```sql\nSELECT color \nFROM fitnessTrackers \nGROUP BY color \nHAVING COUNT(*) <= 1;\n```","cost":0.00005685,"response_parsed":"SELECT color \nFROM fitnessTrackers \nGROUP BY color \nHAVING COUNT(*) <= 1;","time":1.0125427246}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) >= 4","question":"Find all the display that have at least 4 records in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT display\nFROM fitnessTrackers\nGROUP BY display\nHAVING COUNT(*) >= 4;\n```","cost":0.00004065,"response_parsed":"SELECT display\nFROM fitnessTrackers\nGROUP BY display\nHAVING COUNT(*) >= 4;","time":0.6076936722}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `display` FROM `fitnessTrackers` GROUP BY `display` HAVING count(*) <= 4","question":"Find all the display that have at most 4 records in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find all the displays that have at most 4 records in the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT display\nFROM fitnessTrackers\nGROUP BY display\nHAVING COUNT(*) <= 4;\n```","cost":0.00005805,"response_parsed":"SELECT display\nFROM fitnessTrackers\nGROUP BY display\nHAVING COUNT(*) <= 4;","time":1.1698653698}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) >= 8.81","question":"List the strapmaterial which average of averagebatterylife is at least 8.81 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(averagebatterylife) >= 8.81;\n``` \n\nThis 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.","cost":0.00009945,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(averagebatterylife) >= 8.81;","time":3.9983460903}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`averagebatterylife`) <= 8.81","question":"List the strapmaterial which average of averagebatterylife is at most 8.81 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife <= 8.81;\n```\n\nThis query selects the `strapmaterial` column from the `fitnessTrackers` table where the `averagebatterylife` is less than or equal to 8.81.","cost":0.00009045,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife <= 8.81;","time":3.1799991131}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) >= 32.4","question":"List the strapmaterial which summation of averagebatterylife is at least 32.4 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) >= 32.4;\n``` \n\nThis 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.","cost":0.0000966,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) >= 32.4;","time":2.4212598801}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`averagebatterylife`) <= 32.4","question":"List the strapmaterial which summation of averagebatterylife is at most 32.4 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) <= 32.4;\n```","cost":0.0000738,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) <= 32.4;","time":1.6689462662}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) >= 19076.5","question":"List the strapmaterial which average of sellingprice is at least 19076.5 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the `strapmaterial` from the `fitnessTrackers` table where the average `sellingprice` is at least 19076.5, the SQL query would look like this:\n\n```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING AVG(sellingprice) >= 19076.5;\n```","cost":0.00006975,"response_parsed":"SELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING AVG(sellingprice) >= 19076.5;","time":1.4710056782}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING AVG(`sellingprice`) <= 19076.5","question":"List the strapmaterial which average of sellingprice is at most 19076.5 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING AVG(sellingprice) <= 19076.5;\n```","cost":0.00006735,"response_parsed":"SELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING AVG(sellingprice) <= 19076.5;","time":1.11521101}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) >= 82848.0","question":"List the strapmaterial which summation of sellingprice is at least 82848.0 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) >= 82848.0;\n```","cost":0.0000699,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) >= 82848.0;","time":1.1532182693}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `strapmaterial` FROM `fitnessTrackers` GROUP BY `strapmaterial` HAVING SUM(`sellingprice`) <= 82848.0","question":"List the strapmaterial which summation of sellingprice is at most 82848.0 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) <= 82848.0;\n```","cost":0.0000693,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) <= 82848.0;","time":1.4714741707}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) >= 8.1","question":"List the modelname which average of averagebatterylife is at least 8.1 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT modelname\nFROM fitnessTrackers\nWHERE averagebatterylife >= 8.1;\n```","cost":0.00004245,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nWHERE averagebatterylife >= 8.1;","time":0.7742667198}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`averagebatterylife`) <= 8.1","question":"List the modelname which average of averagebatterylife is at most 8.1 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the model names from the `fitnessTrackers` table where the average of `averagebatterylife` is at most 8.1:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(averagebatterylife) <= 8.1;\n```","cost":0.00007005,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(averagebatterylife) <= 8.1;","time":1.0979139805}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) >= 8.1","question":"List the modelname which summation of averagebatterylife is at least 8.1 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(averagebatterylife) >= 8.1;\n``` \n\nThis query groups the records by `modelname` and filters the groups based on the condition specified in the `HAVING` clause.","cost":0.00009,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(averagebatterylife) >= 8.1;","time":6.5781490803}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`averagebatterylife`) <= 8.1","question":"List the modelname which summation of averagebatterylife is at most 8.1 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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\u2019s how you can write the SQL code to accomplish this:\n\n```sql\nSELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING SUM(averagebatterylife) <= 8.1;\n```\n\nThis 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.","cost":0.0001212,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING SUM(averagebatterylife) <= 8.1;","time":3.353746891}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) >= 20712.0","question":"List the modelname which average of sellingprice is at least 20712.0 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nWHERE sellingprice >= 20712.0;\n```\n\nThis 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:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) >= 20712.0;\n```\n\nUse either depending on whether you're looking for individual selling prices or the average selling price per model.","cost":0.00014475,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) >= 20712.0;","time":4.3234870434}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING AVG(`sellingprice`) <= 20712.0","question":"List the modelname which average of sellingprice is at most 20712.0 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) <= 20712.0;\n``` \n\nThis 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.","cost":0.00009435,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) <= 20712.0;","time":3.0932331085}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) >= 20712.0","question":"List the modelname which summation of sellingprice is at least 20712.0 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) >= 20712.0;\n```","cost":0.0000741,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) >= 20712.0;","time":1.2917962074}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `modelname` FROM `fitnessTrackers` GROUP BY `modelname` HAVING SUM(`sellingprice`) <= 20712.0","question":"List the modelname which summation of sellingprice is at most 20712.0 in table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) <= 20712.0;\n``` \n\nThis SQL statement will group the records by `modelname` and then return those where the total selling price does not exceed 20712.0.","cost":0.0001023,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) <= 20712.0;","time":2.709321022}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) >= 20","question":"Find all the country that have at least 20 records in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find all the countries that have at least 20 records in the `salesTransactions` table, you would use the following SQL query:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(*) >= 20;\n```","cost":0.0000567,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(*) >= 20;","time":1.7550032139}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING count(*) <= 20","question":"Find all the country that have at most 20 records in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find all the countries that have at most 20 records in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(*) <= 20;\n``` \n\nThis 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.","cost":0.0000777,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(*) <= 20;","time":3.0438303947}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) >= 1","question":"Find all the date that have at least 1 records in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch all the dates that have at least one record in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT date\nFROM salesTransactions\nWHERE date IS NOT NULL;\n``` \n\nThis query selects distinct dates from the `salesTransactions` table, ensuring that only unique dates are returned, and filters out any null values from the result.","cost":0.0000723,"response_parsed":"SELECT DISTINCT date\nFROM salesTransactions\nWHERE date IS NOT NULL;","time":1.2819919586}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING count(*) <= 1","question":"Find all the date that have at most 1 records in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find all dates that have at most 1 record in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT date\nFROM salesTransactions\nGROUP BY date\nHAVING COUNT(*) <= 1;\n```","cost":0.0000561,"response_parsed":"SELECT date\nFROM salesTransactions\nGROUP BY date\nHAVING COUNT(*) <= 1;","time":9.0420496464}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) >= 1","question":"Find all the transactionno that have at least 1 records in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT DISTINCT transactionno\nFROM salesTransactions;\n```","cost":0.00003405,"response_parsed":"SELECT DISTINCT transactionno\nFROM salesTransactions;","time":0.9771425724}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING count(*) <= 1","question":"Find all the transactionno that have at most 1 records in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find all the `transactionno` values that have at most 1 record in the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT transactionno\nFROM salesTransactions\nGROUP BY transactionno\nHAVING COUNT(*) <= 1;\n``` \n\nThis 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.","cost":0.00008865,"response_parsed":"SELECT transactionno\nFROM salesTransactions\nGROUP BY transactionno\nHAVING COUNT(*) <= 1;","time":2.8961577415}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`price`) <= 11.95","question":"List the country which average of price is at most 11.95 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(price) <= 11.95;\n```","cost":0.00004215,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(price) <= 11.95;","time":0.971521616}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) >= 238.94","question":"List the country which summation of price is at least 238.94 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price) >= 238.94;\n```","cost":0.0000621,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price) >= 238.94;","time":2.5604219437}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`price`) <= 238.94","question":"List the country which summation of price is at most 238.94 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price) <= 238.94;\n``` \n\nThis 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.","cost":0.0000927,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price) <= 238.94;","time":1.8252682686}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) >= 15215.25","question":"List the country which average of customerno is at least 15215.25 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) >= 15215.25;\n```","cost":0.00006525,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) >= 15215.25;","time":1.1664144993}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING AVG(`customerno`) <= 15215.25","question":"List the country which average of customerno is at most 15215.25 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) <= 15215.25;\n```","cost":0.00006525,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) <= 15215.25;","time":1.1348388195}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) >= 304305.0","question":"List the country which summation of customerno is at least 304305.0 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(customerno) >= 304305.0;\n```","cost":0.0000672,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(customerno) >= 304305.0;","time":1.2606842518}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `country` FROM `salesTransactions` GROUP BY `country` HAVING SUM(`customerno`) <= 304305.0","question":"List the country which summation of customerno is at most 304305.0 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code that executes the query based on your requirements:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(customerno) <= 304305.0;\n```","cost":0.0000522,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(customerno) <= 304305.0;","time":1.0441973209}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) >= 11.95","question":"List the productname which average of price is at least 11.95 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) >= 11.95;\n```","cost":0.0000627,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) >= 11.95;","time":1.23335886}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`price`) <= 11.95","question":"List the productname which average of price is at most 11.95 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) <= 11.95;\n```","cost":0.0000639,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) <= 11.95;","time":1.0956397057}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) >= 11.95","question":"List the productname which summation of price is at least 11.95 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to list the product names where the summation of price is at least 11.95 in the `salesTransactions` table:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(price) >= 11.95;\n```","cost":0.00006225,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(price) >= 11.95;","time":1.6800601482}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`price`) <= 11.95","question":"List the productname which summation of price is at most 11.95 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(price) <= 11.95;\n``` \n\nThis 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.","cost":0.00009345,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(price) <= 11.95;","time":1.8617172241}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) >= 15215.25","question":"List the productname which average of customerno is at least 15215.25 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the product names where the average `customerno` is at least 15215.25 from the `salesTransactions` table:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(customerno) >= 15215.25;\n```","cost":0.0000648,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(customerno) >= 15215.25;","time":1.7474234104}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING AVG(`customerno`) <= 15215.25","question":"List the productname which average of customerno is at most 15215.25 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT DISTINCT productname\nFROM salesTransactions\nWHERE (SELECT AVG(customerno) FROM salesTransactions) <= 15215.25;\n``` \n\nThis query selects the distinct product names from the `salesTransactions` table where the average `customerno` is less than or equal to 15215.25.","cost":0.0000984,"response_parsed":"SELECT DISTINCT productname\nFROM salesTransactions\nWHERE (SELECT AVG(customerno) FROM salesTransactions) <= 15215.25;","time":4.4559693336}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) >= 15215.25","question":"List the productname which summation of customerno is at least 15215.25 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) >= 15215.25;\n```","cost":0.00008655,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) >= 15215.25;","time":1.6996266842}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING SUM(`customerno`) <= 15215.25","question":"List the productname which summation of customerno is at most 15215.25 in table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) <= 15215.25;\n```","cost":0.00007815,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) <= 15215.25;","time":1.8209648132}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `brandname` FROM `fitnessTrackers` GROUP BY `brandname` HAVING COUNT(DISTINCT `devicetype`) = (SELECT COUNT(DISTINCT `devicetype`) FROM `fitnessTrackers`)","question":"What are the brandname with all the devicetype in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the brand names along with all the device types from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT brandname, devicetype \nFROM fitnessTrackers;\n```","cost":0.00005325,"response_parsed":"SELECT brandname, devicetype \nFROM fitnessTrackers;","time":1.2122511864}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `devicetype` FROM `fitnessTrackers` GROUP BY `devicetype` HAVING COUNT(DISTINCT `strapmaterial`) = (SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`)","question":"What are the devicetype with all the strapmaterial in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the device types along with all the strap materials from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT devicetype, strapmaterial\nFROM fitnessTrackers;\n``` \n\nThis 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.","cost":0.00008025,"response_parsed":"SELECT DISTINCT devicetype, strapmaterial\nFROM fitnessTrackers;","time":1.44156003}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `color` FROM `fitnessTrackers` GROUP BY `color` HAVING COUNT(DISTINCT `display`) = (SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`)","question":"What are the color with all the display in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the colors with all the display in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT color, display FROM fitnessTrackers;\n```","cost":0.0000486,"response_parsed":"SELECT color, display FROM fitnessTrackers;","time":1.1186516285}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `transactionno` FROM `salesTransactions` GROUP BY `transactionno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`)","question":"What are the transactionno with all the country in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the transaction numbers along with all the countries from the `salesTransactions` table, the following SQL query can be executed:\n\n```sql\nSELECT transactionno, country FROM salesTransactions;\n```","cost":0.0000492,"response_parsed":"SELECT transactionno, country FROM salesTransactions;","time":0.7535760403}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `date` FROM `salesTransactions` GROUP BY `date` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`)","question":"What are the date with all the country in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the unique dates along with the associated countries from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT date, country\nFROM salesTransactions;\n``` \n\nThis query selects distinct combinations of `date` and `country` from the `salesTransactions` table, ensuring that you retrieve all unique pairs in the result.","cost":0.00006945,"response_parsed":"SELECT DISTINCT date, country\nFROM salesTransactions;","time":4.3747522831}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `productno` FROM `salesTransactions` GROUP BY `productno` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`)","question":"What are the productno with all the country in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the `productno` along with all the countries from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT productno, country\nFROM salesTransactions;\n``` \n\nThis query selects distinct combinations of `productno` and `country` from the `salesTransactions` table to ensure that each unique pairing is included in the results.","cost":0.000072,"response_parsed":"SELECT DISTINCT productno, country\nFROM salesTransactions;","time":1.920650959}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `productname` FROM `salesTransactions` GROUP BY `productname` HAVING COUNT(DISTINCT `country`) = (SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`)","question":"What are the productname with all the country in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch all the product names along with their corresponding countries from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productname, country \nFROM salesTransactions;\n```","cost":0.0000504,"response_parsed":"SELECT productname, country \nFROM salesTransactions;","time":1.2816317081}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` ASC","question":"Show all data ordered by devicetype in ascending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers\nORDER BY devicetype ASC;\n```","cost":0.0000372,"response_parsed":"SELECT * FROM fitnessTrackers\nORDER BY devicetype ASC;","time":0.5687651634}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `fitnessTrackers` ORDER BY `devicetype` DESC","question":"Show all data ordered by devicetype in descending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch all data from the `fitnessTrackers` table ordered by `devicetype` in descending order:\n\n```sql\nSELECT * FROM fitnessTrackers\nORDER BY devicetype DESC;\n```","cost":0.000054,"response_parsed":"SELECT * FROM fitnessTrackers\nORDER BY devicetype DESC;","time":1.131333828}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` ASC","question":"Show all data ordered by strapmaterial in ascending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers\nORDER BY strapmaterial ASC;\n```","cost":0.00003645,"response_parsed":"SELECT * FROM fitnessTrackers\nORDER BY strapmaterial ASC;","time":0.7538123131}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `fitnessTrackers` ORDER BY `strapmaterial` DESC","question":"Show all data ordered by strapmaterial in descending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * \nFROM fitnessTrackers \nORDER BY strapmaterial DESC;\n```","cost":0.00003705,"response_parsed":"SELECT * \nFROM fitnessTrackers \nORDER BY strapmaterial DESC;","time":0.5627529621}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` ASC","question":"Project the sellingprice ordered in ascending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice ASC;\n```","cost":0.00003735,"response_parsed":"SELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice ASC;","time":0.5281434059}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `sellingprice` FROM `fitnessTrackers` ORDER BY `sellingprice` DESC","question":"Project the sellingprice ordered in descending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the selling prices from the `fitnessTrackers` table ordered in descending order:\n\n```sql\nSELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice DESC;\n```","cost":0.00005115,"response_parsed":"SELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice DESC;","time":1.1309552193}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `color` FROM `fitnessTrackers` ORDER BY `color` ASC","question":"Project the color ordered in ascending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the colors from the `fitnessTrackers` table in ascending order, you can use the following SQL code:\n\n```sql\nSELECT color \nFROM fitnessTrackers \nORDER BY color ASC;\n```","cost":0.0000504,"response_parsed":"SELECT color \nFROM fitnessTrackers \nORDER BY color ASC;","time":1.1932406425}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `color` FROM `fitnessTrackers` ORDER BY `color` DESC","question":"Project the color ordered in descending order for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to project the color ordered in descending order for the table fitnessTrackers:\n\n```sql\nSELECT color\nFROM fitnessTrackers\nORDER BY color DESC;\n```","cost":0.000048,"response_parsed":"SELECT color\nFROM fitnessTrackers\nORDER BY color DESC;","time":1.1783115864}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `salesTransactions` ORDER BY `transactionno` ASC","question":"Show all data ordered by transactionno in ascending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * \nFROM salesTransactions \nORDER BY transactionno ASC;\n```","cost":0.0000363,"response_parsed":"SELECT * \nFROM salesTransactions \nORDER BY transactionno ASC;","time":0.4416999817}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `salesTransactions` ORDER BY `transactionno` DESC","question":"Show all data ordered by transactionno in descending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions\nORDER BY transactionno DESC;\n```","cost":0.0000357,"response_parsed":"SELECT * FROM salesTransactions\nORDER BY transactionno DESC;","time":0.7122557163}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `salesTransactions` ORDER BY `price` ASC","question":"Show all data ordered by price in ascending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch all data from the `salesTransactions` table ordered by price in ascending order, you can use the following SQL code:\n\n```sql\nSELECT * FROM salesTransactions\nORDER BY price ASC;\n```","cost":0.00005055,"response_parsed":"SELECT * FROM salesTransactions\nORDER BY price ASC;","time":1.4792087078}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `salesTransactions` ORDER BY `price` DESC","question":"Show all data ordered by price in descending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions ORDER BY price DESC;\n```","cost":0.00003435,"response_parsed":"SELECT * FROM salesTransactions ORDER BY price DESC;","time":0.4936909676}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `productno` FROM `salesTransactions` ORDER BY `productno` ASC","question":"Project the productno ordered in ascending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT productno\nFROM salesTransactions\nORDER BY productno ASC;\n```","cost":0.0000366,"response_parsed":"SELECT productno\nFROM salesTransactions\nORDER BY productno ASC;","time":1.3210573196}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `productno` FROM `salesTransactions` ORDER BY `productno` DESC","question":"Project the productno ordered in descending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To project the `productno` from the `salesTransactions` table in descending order, you can use the following SQL code:\n\n```sql\nSELECT productno\nFROM salesTransactions\nORDER BY productno DESC;\n```","cost":0.0000522,"response_parsed":"SELECT productno\nFROM salesTransactions\nORDER BY productno DESC;","time":1.0705530643}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` ASC","question":"Project the quantity ordered in ascending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to project the quantity ordered in ascending order from the `salesTransactions` table:\n\n```sql\nSELECT quantity\nFROM salesTransactions\nORDER BY quantity ASC;\n```","cost":0.00004785,"response_parsed":"SELECT quantity\nFROM salesTransactions\nORDER BY quantity ASC;","time":1.4113743305}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `quantity` FROM `salesTransactions` ORDER BY `quantity` DESC","question":"Project the quantity ordered in descending order for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT quantity\nFROM salesTransactions\nORDER BY quantity DESC;\n```","cost":0.00003525,"response_parsed":"SELECT quantity\nFROM salesTransactions\nORDER BY quantity DESC;","time":0.4285130501}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `originalprice` FROM `fitnessTrackers`","question":"Show all originalprice in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT originalprice FROM fitnessTrackers;\n```","cost":0.00003255,"response_parsed":"SELECT originalprice FROM fitnessTrackers;","time":0.421050787}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `averagebatterylife` FROM `fitnessTrackers`","question":"Show all averagebatterylife in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT averagebatterylife FROM fitnessTrackers;\n```","cost":0.0000348,"response_parsed":"SELECT averagebatterylife FROM fitnessTrackers;","time":0.6121838093}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `devicetype` FROM `fitnessTrackers`","question":"Show all devicetype in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT devicetype FROM fitnessTrackers;\n```","cost":0.0000333,"response_parsed":"SELECT devicetype FROM fitnessTrackers;","time":0.5490648746}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `display` FROM `fitnessTrackers`","question":"Show all display in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch all the displays from the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT display FROM fitnessTrackers;\n```","cost":0.000045,"response_parsed":"SELECT display FROM fitnessTrackers;","time":0.7494146824}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `brandname` FROM `fitnessTrackers`","question":"Show all brandname in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT brandname FROM fitnessTrackers;\n```","cost":0.00003255,"response_parsed":"SELECT brandname FROM fitnessTrackers;","time":0.7843844891}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `fitnessTrackers`","question":"Show all the rows in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers;\n```","cost":0.00003195,"response_parsed":"SELECT * FROM fitnessTrackers;","time":0.5219147205}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `sellingprice` FROM `fitnessTrackers`","question":"Show all sellingprice in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT sellingprice FROM fitnessTrackers;\n```","cost":0.00003255,"response_parsed":"SELECT sellingprice FROM fitnessTrackers;","time":0.5929582119}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `strapmaterial`, `averagebatterylife` FROM `fitnessTrackers`","question":"Show all strapmaterial, averagebatterylife in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the required information from the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT strapmaterial, averagebatterylife FROM fitnessTrackers;\n```","cost":0.00005025,"response_parsed":"SELECT strapmaterial, averagebatterylife FROM fitnessTrackers;","time":0.8538310528}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `sellingprice`, `modelname`, `color` FROM `fitnessTrackers`","question":"Show all sellingprice, modelname, color in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the desired information from the `fitnessTrackers` table:\n\n```sql\nSELECT sellingprice, modelname, color FROM fitnessTrackers;\n```","cost":0.0000477,"response_parsed":"SELECT sellingprice, modelname, color FROM fitnessTrackers;","time":0.8305768967}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `modelname`, `brandname`, `color`, `averagebatterylife` FROM `fitnessTrackers`","question":"Show all modelname, brandname, color, averagebatterylife in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT modelname, brandname, color, averagebatterylife \nFROM fitnessTrackers;\n```","cost":0.0000414,"response_parsed":"SELECT modelname, brandname, color, averagebatterylife \nFROM fitnessTrackers;","time":0.9860754013}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `devicetype`, `modelname`, `brandname`, `averagebatterylife`, `display` FROM `fitnessTrackers`","question":"Show all devicetype, modelname, brandname, averagebatterylife, display in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT devicetype, modelname, brandname, averagebatterylife, display\nFROM fitnessTrackers;\n```","cost":0.0000444,"response_parsed":"SELECT devicetype, modelname, brandname, averagebatterylife, display\nFROM fitnessTrackers;","time":0.7993438244}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, `strapmaterial` FROM `fitnessTrackers`","question":"Show all rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial \nFROM fitnessTrackers;\n```","cost":0.0000459,"response_parsed":"SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial \nFROM fitnessTrackers;","time":0.9969937801}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `strapmaterial`, `rating`, `averagebatterylife`, `brandname`, `display`, `sellingprice`, `devicetype` FROM `fitnessTrackers`","question":"Show all strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype\nFROM fitnessTrackers;\n```","cost":0.00004815,"response_parsed":"SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype\nFROM fitnessTrackers;","time":0.9634375572}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, `modelname` FROM `fitnessTrackers`","question":"Show all averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the required information from the `fitnessTrackers` table according to your question, you can use the following SQL code:\n\n```sql\nSELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname\nFROM fitnessTrackers;\n```","cost":0.000066,"response_parsed":"SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname\nFROM fitnessTrackers;","time":1.6743073463}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `color`, `modelname`, `averagebatterylife`, `strapmaterial`, `display`, `brandname`, `sellingprice`, `devicetype`, `originalprice` FROM `fitnessTrackers`","question":"Show all color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice in the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT \n    color, \n    modelname, \n    averagebatterylife, \n    strapmaterial, \n    display, \n    brandname, \n    sellingprice, \n    devicetype, \n    originalprice \nFROM \n    fitnessTrackers;\n```","cost":0.00006465,"response_parsed":"SELECT \n    color, \n    modelname, \n    averagebatterylife, \n    strapmaterial, \n    display, \n    brandname, \n    sellingprice, \n    devicetype, \n    originalprice \nFROM \n    fitnessTrackers;","time":1.3587076664}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `productno` FROM `salesTransactions`","question":"Show all productno in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to retrieve all product numbers from the `salesTransactions` table:\n\n```sql\nSELECT productno FROM salesTransactions;\n```","cost":0.0000426,"response_parsed":"SELECT productno FROM salesTransactions;","time":1.5026171207}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `country` FROM `salesTransactions`","question":"Show all country in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT country FROM salesTransactions;\n```","cost":0.00003105,"response_parsed":"SELECT country FROM salesTransactions;","time":0.5955014229}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `transactionno` FROM `salesTransactions`","question":"Show all transactionno in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch all the `transactionno` from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT transactionno FROM salesTransactions;\n```","cost":0.0000462,"response_parsed":"SELECT transactionno FROM salesTransactions;","time":1.0257546902}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `price` FROM `salesTransactions`","question":"Show all price in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT price FROM salesTransactions;\n```","cost":0.00003105,"response_parsed":"SELECT price FROM salesTransactions;","time":0.434281826}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `productname` FROM `salesTransactions`","question":"Show all productname in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT productname FROM salesTransactions;\n```","cost":0.0000318,"response_parsed":"SELECT productname FROM salesTransactions;","time":0.4136807919}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `salesTransactions`","question":"Show all the rows in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch all the rows from the table `salesTransactions`, you can use the following SQL code:\n\n```sql\nSELECT * FROM salesTransactions;\n```","cost":0.0000432,"response_parsed":"SELECT * FROM salesTransactions;","time":1.4512331486}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `quantity` FROM `salesTransactions`","question":"Show all quantity in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch all quantities from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT quantity FROM salesTransactions;\n```","cost":0.00004305,"response_parsed":"SELECT quantity FROM salesTransactions;","time":1.3199372292}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `price`, `productno` FROM `salesTransactions`","question":"Show all price, productno in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT price, productno FROM salesTransactions;\n```","cost":0.0000333,"response_parsed":"SELECT price, productno FROM salesTransactions;","time":0.3924057484}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `price`, `customerno`, `date` FROM `salesTransactions`","question":"Show all price, customerno, date in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT price, customerno, date FROM salesTransactions;\n```","cost":0.0000348,"response_parsed":"SELECT price, customerno, date FROM salesTransactions;","time":0.676371336}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `productno`, `customerno`, `quantity`, `productname` FROM `salesTransactions`","question":"Show all productno, customerno, quantity, productname in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT productno, customerno, quantity, productname \nFROM salesTransactions;\n```","cost":0.0000384,"response_parsed":"SELECT productno, customerno, quantity, productname \nFROM salesTransactions;","time":0.8099794388}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `date`, `quantity`, `productno`, `price`, `country` FROM `salesTransactions`","question":"Show all date, quantity, productno, price, country in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT date, quantity, productno, price, country\nFROM salesTransactions;\n```","cost":0.0000384,"response_parsed":"SELECT date, quantity, productno, price, country\nFROM salesTransactions;","time":0.8932127953}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `productno`, `price`, `country`, `customerno`, `transactionno`, `productname` FROM `salesTransactions`","question":"Show all productno, price, country, customerno, transactionno, productname in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT productno, price, country, customerno, transactionno, productname\nFROM salesTransactions;\n```","cost":0.00004215,"response_parsed":"SELECT productno, price, country, customerno, transactionno, productname\nFROM salesTransactions;","time":0.803842783}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity` FROM `salesTransactions`","question":"Show all price, date, transactionno, productno, customerno, country, quantity in the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the requested columns from the `salesTransactions` table, the SQL query would look like this:\n\n```sql\nSELECT price, date, transactionno, productno, customerno, country, quantity \nFROM salesTransactions;\n```","cost":0.0000555,"response_parsed":"SELECT price, date, transactionno, productno, customerno, country, quantity \nFROM salesTransactions;","time":0.9933626652}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `color` == 'White '","question":"Show the data of the table fitnessTrackers where color is equal to White ","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `fitnessTrackers` table where the color is equal to 'White':\n\n```sql\nSELECT * FROM fitnessTrackers WHERE color = 'White';\n```","cost":0.0000513,"response_parsed":"SELECT * FROM fitnessTrackers WHERE color = 'White';","time":1.5606684685}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black'","question":"Show the data of the table fitnessTrackers where color is different from Black","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM fitnessTrackers\nWHERE color <> 'Black';\n```","cost":0.0000363,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE color <> 'Black';","time":0.8172678947}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `color` != 'Black'","question":"Show the data of the table fitnessTrackers where color not equal to Black","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * \nFROM fitnessTrackers \nWHERE color <> 'Black';\n```","cost":0.0000369,"response_parsed":"SELECT * \nFROM fitnessTrackers \nWHERE color <> 'Black';","time":0.4959187508}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` == 'Thermoplastic polyurethane'","question":"Show the data of the table fitnessTrackers where strapmaterial is equal to Thermoplastic polyurethane","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch data from the `fitnessTrackers` table where `strapmaterial` is equal to \"Thermoplastic polyurethane\":\n\n```sql\nSELECT * FROM fitnessTrackers WHERE strapmaterial = 'Thermoplastic polyurethane';\n```","cost":0.00005655,"response_parsed":"SELECT * FROM fitnessTrackers WHERE strapmaterial = 'Thermoplastic polyurethane';","time":1.8029360771}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Thermoplastic polyurethane'","question":"Show the data of the table fitnessTrackers where strapmaterial is different from Thermoplastic polyurethane","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the data from the `fitnessTrackers` table where `strapmaterial` is different from \"Thermoplastic polyurethane\", you can use the following SQL code:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE strapmaterial <> 'Thermoplastic polyurethane';\n```","cost":0.00005955,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE strapmaterial <> 'Thermoplastic polyurethane';","time":1.7647669315}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `strapmaterial` != 'Aluminium'","question":"Show the data of the table fitnessTrackers where strapmaterial not equal to Aluminium","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers WHERE strapmaterial != 'Aluminium';\n```","cost":0.00003705,"response_parsed":"SELECT * FROM fitnessTrackers WHERE strapmaterial != 'Aluminium';","time":0.7051148415}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `display` == 'TFT-LCD Display'","question":"Show the data of the table fitnessTrackers where display is equal to TFT-LCD Display","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers WHERE display = 'TFT-LCD Display';\n```","cost":0.00003855,"response_parsed":"SELECT * FROM fitnessTrackers WHERE display = 'TFT-LCD Display';","time":0.6319549084}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `display` != 'TFT-LCD Display'","question":"Show the data of the table fitnessTrackers where display is different from TFT-LCD Display","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the data from the `fitnessTrackers` table where the `display` is different from \"TFT-LCD Display\", you can use the following SQL code:\n\n```sql\nSELECT * FROM fitnessTrackers WHERE display != 'TFT-LCD Display';\n```","cost":0.00005955,"response_parsed":"SELECT * FROM fitnessTrackers WHERE display != 'TFT-LCD Display';","time":0.9439549446}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `fitnessTrackers` WHERE `display` != 'AMOLED Display'","question":"Show the data of the table fitnessTrackers where display not equal to AMOLED Display","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers WHERE display <> 'AMOLED Display';\n```","cost":0.00003705,"response_parsed":"SELECT * FROM fitnessTrackers WHERE display <> 'AMOLED Display';","time":0.5772778988}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `fitnessTrackers` WHERE `averagebatterylife` > 14","question":"Show the data of the table fitnessTrackers where averagebatterylife is greater than 14","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM fitnessTrackers\nWHERE averagebatterylife > 14;\n```","cost":0.00003945,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE averagebatterylife > 14;","time":1.0601222515}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `fitnessTrackers` WHERE `sellingprice` > 45690.0","question":"Show the data of the table fitnessTrackers where sellingprice is greater than 45690.0","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers WHERE sellingprice > 45690.0;\n```","cost":0.00003885,"response_parsed":"SELECT * FROM fitnessTrackers WHERE sellingprice > 45690.0;","time":1.0862073898}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `fitnessTrackers` WHERE `sellingprice` < 46990.0","question":"Show the data of the table fitnessTrackers where sellingprice is less than 46990.0","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `fitnessTrackers` table where the `sellingprice` is less than 46990.0:\n\n```sql\nSELECT * \nFROM fitnessTrackers \nWHERE sellingprice < 46990.0;\n```","cost":0.00005925,"response_parsed":"SELECT * \nFROM fitnessTrackers \nWHERE sellingprice < 46990.0;","time":1.3712944984}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `fitnessTrackers` WHERE `rating` > 4.6","question":"Show the data of the table fitnessTrackers where rating is greater than 4.6","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers WHERE rating > 4.6;\n```","cost":0.00003735,"response_parsed":"SELECT * FROM fitnessTrackers WHERE rating > 4.6;","time":0.7620484829}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0","question":"Show the data of the table fitnessTrackers where rating is less than 4.0","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM fitnessTrackers WHERE rating < 4.0;\n```","cost":0.00003735,"response_parsed":"SELECT * FROM fitnessTrackers WHERE rating < 4.0;","time":0.4898586273}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `date` == '12\/1\/2018'","question":"Show the data of the table salesTransactions where date is equal to 12\/1\/2018","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `salesTransactions` table where the date is equal to '12\/1\/2018':\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE date = '12\/1\/2018';\n```","cost":0.00005745,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date = '12\/1\/2018';","time":1.2562501431}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `date` != '9\/15\/2019'","question":"Show the data of the table salesTransactions where date is different from 9\/15\/2019","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `salesTransactions` table where the date is different from '9\/15\/2019':\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE date <> '9\/15\/2019';\n```","cost":0.00005745,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date <> '9\/15\/2019';","time":1.4971966743}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `date` != '12\/1\/2018'","question":"Show the data of the table salesTransactions where date not equal to 12\/1\/2018","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * \nFROM salesTransactions \nWHERE date <> '12\/1\/2018';\n```","cost":0.00004005,"response_parsed":"SELECT * \nFROM salesTransactions \nWHERE date <> '12\/1\/2018';","time":0.4671955109}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `transactionno` == '566959'","question":"Show the data of the table salesTransactions where transactionno is equal to 566959","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions WHERE transactionno = '566959';\n```","cost":0.0000366,"response_parsed":"SELECT * FROM salesTransactions WHERE transactionno = '566959';","time":0.5249135494}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `transactionno` != '579557'","question":"Show the data of the table salesTransactions where transactionno is different from 579557","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM salesTransactions\nWHERE transactionno <> '579557';\n```","cost":0.0000372,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE transactionno <> '579557';","time":2.0507085323}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `transactionno` != '549047'","question":"Show the data of the table salesTransactions where transactionno not equal to 549047","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `salesTransactions` table where `transactionno` is not equal to 549047:\n\n```sql\nSELECT * FROM salesTransactions WHERE transactionno <> '549047';\n```","cost":0.000054,"response_parsed":"SELECT * FROM salesTransactions WHERE transactionno <> '549047';","time":0.9905493259}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `productname` == 'Metal-4-Hook-Hanger-French-Chateau'","question":"Show the data of the table salesTransactions where productname is equal to Metal-4-Hook-Hanger-French-Chateau","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM salesTransactions\nWHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';\n```","cost":0.0000438,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';","time":0.6232340336}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `productname` != 'Skulls-Water-Transfer-Tattoos'","question":"Show the data of the table salesTransactions where productname is different from Skulls-Water-Transfer-Tattoos","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions WHERE productname <> 'Skulls-Water-Transfer-Tattoos';\n```","cost":0.0000417,"response_parsed":"SELECT * FROM salesTransactions WHERE productname <> 'Skulls-Water-Transfer-Tattoos';","time":1.080296278}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `salesTransactions` WHERE `productname` != 'Pink-Party-Bags'","question":"Show the data of the table salesTransactions where productname not equal to Pink-Party-Bags","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `salesTransactions` table where the `productname` is not equal to 'Pink-Party-Bags':\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE productname <> 'Pink-Party-Bags';\n```","cost":0.0000591,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE productname <> 'Pink-Party-Bags';","time":1.2944977283}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `salesTransactions` WHERE `price` > 13.27","question":"Show the data of the table salesTransactions where price is greater than 13.27","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions WHERE price > 13.27;\n```","cost":0.0000366,"response_parsed":"SELECT * FROM salesTransactions WHERE price > 13.27;","time":0.7186353207}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `salesTransactions` WHERE `price` < 6.19","question":"Show the data of the table salesTransactions where price is less than 6.19","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM salesTransactions\nWHERE price < 6.19;\n```","cost":0.0000372,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE price < 6.19;","time":4.0056078434}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `salesTransactions` WHERE `quantity` > 2","question":"Show the data of the table salesTransactions where quantity is greater than 2","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions WHERE quantity > 2;\n```","cost":0.0000351,"response_parsed":"SELECT * FROM salesTransactions WHERE quantity > 2;","time":0.8348345757}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `salesTransactions` WHERE `quantity` < 1","question":"Show the data of the table salesTransactions where quantity is less than 1","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions WHERE quantity < 1;\n```","cost":0.0000351,"response_parsed":"SELECT * FROM salesTransactions WHERE quantity < 1;","time":0.7341032028}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `salesTransactions` WHERE `customerno` > 14001.0","question":"Show the data of the table salesTransactions where customerno is greater than 14001.0","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `salesTransactions` table where `customerno` is greater than 14001.0:\n\n```sql\nSELECT * FROM salesTransactions WHERE customerno > 14001.0;\n```","cost":0.0000561,"response_parsed":"SELECT * FROM salesTransactions WHERE customerno > 14001.0;","time":0.9966804981}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `salesTransactions` WHERE `customerno` < 14001.0","question":"Show the data of the table salesTransactions where customerno is less than 14001.0","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM salesTransactions WHERE customerno < 14001.0;\n```","cost":0.0000381,"response_parsed":"SELECT * FROM salesTransactions WHERE customerno < 14001.0;","time":0.6122717857}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `strapmaterial`) FROM `fitnessTrackers`","question":"How many different strapmaterial are in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the number of different `strapmaterial` entries in the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT strapmaterial) AS different_strapmaterials\nFROM fitnessTrackers;\n```","cost":0.0000561,"response_parsed":"SELECT COUNT(DISTINCT strapmaterial) AS different_strapmaterials\nFROM fitnessTrackers;","time":4.3534889221}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `brandname`) FROM `fitnessTrackers`","question":"How many different brandname are in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT COUNT(DISTINCT brandname) AS unique_brand_count\nFROM fitnessTrackers;\n```","cost":0.0000387,"response_parsed":"SELECT COUNT(DISTINCT brandname) AS unique_brand_count\nFROM fitnessTrackers;","time":0.4694390297}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `modelname`) FROM `fitnessTrackers`","question":"How many different modelname are in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the number of different `modelname` entries in the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT modelname) AS different_model_count\nFROM fitnessTrackers;\n```","cost":0.0000555,"response_parsed":"SELECT COUNT(DISTINCT modelname) AS different_model_count\nFROM fitnessTrackers;","time":1.4303622246}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `color`) FROM `fitnessTrackers`","question":"How many different color are in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT COUNT(DISTINCT color) AS different_colors\nFROM fitnessTrackers;\n```","cost":0.00006015,"response_parsed":"SELECT COUNT(DISTINCT color) AS different_colors\nFROM fitnessTrackers;","time":1.0448870659}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `display`) FROM `fitnessTrackers`","question":"How many different display are in table fitnessTrackers?","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To retrieve the number of different displays in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT display) AS different_displays\nFROM fitnessTrackers;\n```","cost":0.00005235,"response_parsed":"SELECT COUNT(DISTINCT display) AS different_displays\nFROM fitnessTrackers;","time":1.0125417709}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`rating`) FROM `fitnessTrackers`","question":"Find the maximum rating for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the maximum rating from the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT MAX(rating) AS maximum_rating\nFROM fitnessTrackers;\n```","cost":0.00004935,"response_parsed":"SELECT MAX(rating) AS maximum_rating\nFROM fitnessTrackers;","time":0.8947284222}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`rating`) FROM `fitnessTrackers`","question":"Find the minimum rating for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the minimum rating for the table `fitnessTrackers`, you can use the following SQL code:\n\n```sql\nSELECT MIN(rating) AS minimum_rating\nFROM fitnessTrackers;\n```","cost":0.00004875,"response_parsed":"SELECT MIN(rating) AS minimum_rating\nFROM fitnessTrackers;","time":0.9097485542}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`rating`) FROM `fitnessTrackers`","question":"Find the average rating for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the average rating for the table `fitnessTrackers`, you can use the following SQL code:\n\n```sql\nSELECT AVG(rating) AS average_rating\nFROM fitnessTrackers;\n```","cost":0.00004875,"response_parsed":"SELECT AVG(rating) AS average_rating\nFROM fitnessTrackers;","time":0.9988620281}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`originalprice`) FROM `fitnessTrackers`","question":"Find the maximum originalprice for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the maximum `originalprice` from the `fitnessTrackers` table, you can use the following SQL code:\n\n```sql\nSELECT MAX(originalprice) AS max_originalprice \nFROM fitnessTrackers;\n```","cost":0.0000519,"response_parsed":"SELECT MAX(originalprice) AS max_originalprice \nFROM fitnessTrackers;","time":0.8586165905}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`originalprice`) FROM `fitnessTrackers`","question":"Find the minimum originalprice for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT MIN(originalprice) AS minimum_original_price\nFROM fitnessTrackers;\n```","cost":0.0000369,"response_parsed":"SELECT MIN(originalprice) AS minimum_original_price\nFROM fitnessTrackers;","time":0.7396075726}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"fitnessTrackers","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`originalprice`) FROM `fitnessTrackers`","question":"Find the average originalprice for the table fitnessTrackers","db_schema_normalized":"`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT AVG(originalprice) AS average_original_price\nFROM fitnessTrackers;\n```","cost":0.0000369,"response_parsed":"SELECT AVG(originalprice) AS average_original_price\nFROM fitnessTrackers;","time":0.7694396973}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `transactionno`) FROM `salesTransactions`","question":"How many different transactionno are in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the count of different transaction numbers in the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT transactionno) AS unique_transaction_count\nFROM salesTransactions;\n```","cost":0.00005235,"response_parsed":"SELECT COUNT(DISTINCT transactionno) AS unique_transaction_count\nFROM salesTransactions;","time":0.9020228386}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `date`) FROM `salesTransactions`","question":"How many different date are in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To count the number of different dates in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT date) AS unique_date_count\nFROM salesTransactions;\n```","cost":0.000051,"response_parsed":"SELECT COUNT(DISTINCT date) AS unique_date_count\nFROM salesTransactions;","time":1.0585746765}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `productno`) FROM `salesTransactions`","question":"How many different productno are in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the number of different `productno` entries in the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT productno) AS different_product_count\nFROM salesTransactions;\n```","cost":0.00005415,"response_parsed":"SELECT COUNT(DISTINCT productno) AS different_product_count\nFROM salesTransactions;","time":2.5461492538}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `productname`) FROM `salesTransactions`","question":"How many different productname are in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To fetch the number of different product names in the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT productname) AS different_product_count\nFROM salesTransactions;\n```","cost":0.00005235,"response_parsed":"SELECT COUNT(DISTINCT productname) AS different_product_count\nFROM salesTransactions;","time":0.9961879253}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `country`) FROM `salesTransactions`","question":"How many different country are in table salesTransactions?","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the number of different countries in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT country) AS different_country_count\nFROM salesTransactions;\n```","cost":0.000051,"response_parsed":"SELECT COUNT(DISTINCT country) AS different_country_count\nFROM salesTransactions;","time":0.8844645023}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`price`) FROM `salesTransactions`","question":"Find the maximum price for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the maximum price from the `salesTransactions` table, you can utilize the SQL `MAX` function. Here\u2019s the SQL code to execute the query:\n\n```sql\nSELECT MAX(price) AS maximum_price\nFROM salesTransactions;\n```","cost":0.0000546,"response_parsed":"SELECT MAX(price) AS maximum_price\nFROM salesTransactions;","time":0.7032580376}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`price`) FROM `salesTransactions`","question":"Find the minimum price for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the minimum price in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT MIN(price) AS minimum_price\nFROM salesTransactions;\n```","cost":0.0000474,"response_parsed":"SELECT MIN(price) AS minimum_price\nFROM salesTransactions;","time":0.9544634819}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`price`) FROM `salesTransactions`","question":"Find the average price for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the average price from the table `salesTransactions`, you can use the following SQL code:\n\n```sql\nSELECT AVG(price) AS average_price FROM salesTransactions;\n```","cost":0.0000462,"response_parsed":"SELECT AVG(price) AS average_price FROM salesTransactions;","time":0.8932967186}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`customerno`) FROM `salesTransactions`","question":"Find the maximum customerno for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"```sql\nSELECT MAX(customerno) AS max_customerno\nFROM salesTransactions;\n```","cost":0.00003615,"response_parsed":"SELECT MAX(customerno) AS max_customerno\nFROM salesTransactions;","time":0.630705595}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`customerno`) FROM `salesTransactions`","question":"Find the minimum customerno for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the minimum `customerno` from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT MIN(customerno) AS min_customerno\nFROM salesTransactions;\n```","cost":0.00005055,"response_parsed":"SELECT MIN(customerno) AS min_customerno\nFROM salesTransactions;","time":1.3397068977}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/ecommerce\/ecommerce.sqlite","db_id":"ecommerce","tbl_name":"salesTransactions","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`customerno`) FROM `salesTransactions`","question":"Find the average customerno for the table salesTransactions","db_schema_normalized":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)","db_schema":"`\"salesTransactions\"` (\"transactionno\" TEXT, \"date\" TEXT, \"productno\" TEXT, \"productname\" TEXT, \"price\" REAL, \"quantity\" INTEGER, \"customerno\" REAL, \"country\" TEXT)\n`\"fitnessTrackers\"` (\"brandname\" TEXT, \"devicetype\" TEXT, \"modelname\" TEXT, \"color\" TEXT, \"sellingprice\" REAL, \"originalprice\" REAL, \"display\" TEXT, \"rating\" REAL, \"strapmaterial\" TEXT, \"averagebatterylife\" INTEGER)","pred_dict":{"response":"To find the average `customerno` from the `salesTransactions` table, you can use the following SQL code:\n\n```sql\nSELECT AVG(customerno) AS average_customerno\nFROM salesTransactions;\n```","cost":0.00005055,"response_parsed":"SELECT AVG(customerno) AS average_customerno\nFROM salesTransactions;","time":1.3286960125}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `paymenttype` FROM `accountFraud`","question":"Show the different paymenttype in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the distinct payment types from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT paymenttype\nFROM accountFraud;\n```","cost":0.00005235,"response_parsed":"SELECT DISTINCT paymenttype\nFROM accountFraud;","time":0.6733715534}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `housingstatus` FROM `accountFraud`","question":"Show the different housingstatus in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the distinct housing statuses from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT housingstatus\nFROM accountFraud;\n```","cost":0.00005235,"response_parsed":"SELECT DISTINCT housingstatus\nFROM accountFraud;","time":0.8101050854}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `deviceos` FROM `accountFraud`","question":"Show the different deviceos in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the different device operating systems (deviceos) from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT deviceos\nFROM accountFraud;\n```","cost":0.00005535,"response_parsed":"SELECT DISTINCT deviceos\nFROM accountFraud;","time":0.6707143784}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `emailisfree` FROM `accountFraud`","question":"Show the different emailisfree in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the distinct values of `emailisfree` from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT emailisfree\nFROM accountFraud;\n```","cost":0.0000561,"response_parsed":"SELECT DISTINCT emailisfree\nFROM accountFraud;","time":1.0583734512}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `hasothercards` FROM `accountFraud`","question":"Show the different hasothercards in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT DISTINCT hasothercards \nFROM accountFraud;\n```","cost":0.0000393,"response_parsed":"SELECT DISTINCT hasothercards \nFROM accountFraud;","time":0.374712944}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `customerid` FROM `latePayment`","question":"Show the different customerid in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To show the different `customerid` in the `latePayment` table, you can use the `DISTINCT` keyword in your SQL query. Here is the SQL code:\n\n```sql\nSELECT DISTINCT customerid FROM latePayment;\n```","cost":0.0000588,"response_parsed":"SELECT DISTINCT customerid FROM latePayment;","time":1.4083273411}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `invoicedate` FROM `latePayment`","question":"Show the different invoicedate in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the different invoice dates from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT invoicedate\nFROM latePayment;\n```","cost":0.00005175,"response_parsed":"SELECT DISTINCT invoicedate\nFROM latePayment;","time":0.9661610126}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `duedate` FROM `latePayment`","question":"Show the different duedate in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the different due dates in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT duedate \nFROM latePayment;\n``` \n\nThis query selects all unique values from the `duedate` column in the `latePayment` table.","cost":0.00006495,"response_parsed":"SELECT DISTINCT duedate \nFROM latePayment;","time":1.4753503799}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `paperlessbill` FROM `latePayment`","question":"Show the different paperlessbill in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the different values of the `paperlessbill` column from the `latePayment` table, you can execute the following SQL code:\n\n```sql\nSELECT DISTINCT paperlessbill \nFROM latePayment;\n```","cost":0.00005595,"response_parsed":"SELECT DISTINCT paperlessbill \nFROM latePayment;","time":0.8316590786}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `disputed` FROM `latePayment`","question":"Show the different disputed in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the different disputes in the `latePayment` table from the given database schema, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT disputed\nFROM latePayment;\n```","cost":0.00005265,"response_parsed":"SELECT DISTINCT disputed\nFROM latePayment;","time":1.5124568939}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `employmentstatus`, COUNT(*) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, count the number of rows in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `accountFraud` table grouped by each `employmentstatus`, you can use the following SQL query:\n\n```sql\nSELECT employmentstatus, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00006255,"response_parsed":"SELECT employmentstatus, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY employmentstatus;","time":1.1565909386}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `deviceos`, COUNT(*) FROM `accountFraud` GROUP BY `deviceos`","question":"For each deviceos, count the number of rows in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to count the number of rows in the `accountFraud` table for each `deviceos`:\n\n```sql\nSELECT deviceos, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY deviceos;\n```","cost":0.00006075,"response_parsed":"SELECT deviceos, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY deviceos;","time":0.8161218166}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `emailisfree`, COUNT(*) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, count the number of rows in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `accountFraud` table for each distinct value of `emailisfree`, you can use the following SQL query:\n\n```sql\nSELECT emailisfree, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY emailisfree;\n``` \n\nThis 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`.","cost":0.0000927,"response_parsed":"SELECT emailisfree, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY emailisfree;","time":3.492110014}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `hasothercards`, COUNT(*) FROM `accountFraud` GROUP BY `hasothercards`","question":"For each hasothercards, count the number of rows in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `accountFraud` table for each `hasothercards`, you can use the following SQL query:\n\n```sql\nSELECT hasothercards, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY hasothercards;\n``` \n\nThis query selects the `hasothercards` field and counts the number of rows for each unique value of `hasothercards`, grouping the results accordingly.","cost":0.0000831,"response_parsed":"SELECT hasothercards, COUNT(*) AS row_count\nFROM accountFraud\nGROUP BY hasothercards;","time":1.8047173023}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `housingstatus`, COUNT(*) FROM `accountFraud` GROUP BY `housingstatus`","question":"For each housingstatus, count the number of rows in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `accountFraud` table for each `housingstatus`, you can use the following SQL query:\n\n```sql\nSELECT housingstatus, COUNT(*) AS count\nFROM accountFraud\nGROUP BY housingstatus;\n``` \n\nThis SQL code selects the `housingstatus` column and counts the number of rows for each unique `housingstatus`, grouping the results accordingly.","cost":0.00007875,"response_parsed":"SELECT housingstatus, COUNT(*) AS count\nFROM accountFraud\nGROUP BY housingstatus;","time":1.4668953419}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `emailisfree`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the min of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to execute the given question over the `accountFraud` table:\n\n```sql\nSELECT emailisfree, MIN(dateofbirthdistinctemails4w) AS min_date_of_birth\nFROM accountFraud\nGROUP BY emailisfree;\n```","cost":0.0000642,"response_parsed":"SELECT emailisfree, MIN(dateofbirthdistinctemails4w) AS min_date_of_birth\nFROM accountFraud\nGROUP BY emailisfree;","time":1.1806628704}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `emailisfree`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the max of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the maximum `dateofbirthdistinctemails4w` for each unique `emailisfree` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY emailisfree;\n``` \n\nThis code groups the results by `emailisfree` and calculates the maximum value of `dateofbirthdistinctemails4w` for each group.","cost":0.0000966,"response_parsed":"SELECT emailisfree, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY emailisfree;","time":2.1574738026}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `emailisfree`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the avg of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the average of `dateofbirthdistinctemails4w` for each unique `emailisfree` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY emailisfree;\n``` \n\nThis query selects the `emailisfree` column and calculates the average of `dateofbirthdistinctemails4w`, grouping the results by each unique `emailisfree`.","cost":0.0001002,"response_parsed":"SELECT emailisfree, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY emailisfree;","time":2.0061151981}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `emailisfree`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the sum of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the sum of `dateofbirthdistinctemails4w` for each distinct `emailisfree` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree, SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY emailisfree;\n```","cost":0.0000786,"response_parsed":"SELECT emailisfree, SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY emailisfree;","time":1.5101325512}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `emailisfree`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the min of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the minimum `sessionlengthminutes` for each distinct `emailisfree` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree, MIN(sessionlengthminutes) AS min_sessionlength\nFROM accountFraud\nGROUP BY emailisfree;\n```","cost":0.0000696,"response_parsed":"SELECT emailisfree, MIN(sessionlengthminutes) AS min_sessionlength\nFROM accountFraud\nGROUP BY emailisfree;","time":0.9184429646}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `emailisfree`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the max of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the maximum session length in minutes for each unique email in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree, MAX(sessionlengthminutes) AS max_session_length\nFROM accountFraud\nGROUP BY emailisfree;\n```","cost":0.0000666,"response_parsed":"SELECT emailisfree, MAX(sessionlengthminutes) AS max_session_length\nFROM accountFraud\nGROUP BY emailisfree;","time":2.1332128048}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `emailisfree`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the avg of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT emailisfree, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY emailisfree;\n``` \n\nThis 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.","cost":0.0000996,"response_parsed":"SELECT emailisfree, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY emailisfree;","time":1.9741020203}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `emailisfree`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `emailisfree`","question":"For each emailisfree, find the sum of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the sum of `sessionlengthminutes` for each `emailisfree` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree, SUM(sessionlengthminutes) AS total_session_length\nFROM accountFraud\nGROUP BY emailisfree;\n```","cost":0.0000696,"response_parsed":"SELECT emailisfree, SUM(sessionlengthminutes) AS total_session_length\nFROM accountFraud\nGROUP BY emailisfree;","time":1.1552882195}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `employmentstatus`, MIN(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the min of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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.\n\n```sql\nSELECT employmentstatus, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00008265,"response_parsed":"SELECT employmentstatus, MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY employmentstatus;","time":1.6556024551}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `employmentstatus`, MAX(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the max of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT employmentstatus, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY employmentstatus;\n``` \n\nThis query groups the results by `employmentstatus` and calculates the maximum value of `dateofbirthdistinctemails4w` for each group.","cost":0.00009825,"response_parsed":"SELECT employmentstatus, MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY employmentstatus;","time":1.8368446827}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `employmentstatus`, AVG(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the avg of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the average of `dateofbirthdistinctemails4w` grouped by `employmentstatus` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT employmentstatus, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00007605,"response_parsed":"SELECT employmentstatus, AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM accountFraud\nGROUP BY employmentstatus;","time":1.7360179424}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `employmentstatus`, SUM(`dateofbirthdistinctemails4w`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the sum of dateofbirthdistinctemails4w in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here's the SQL code to fetch the sum of `dateofbirthdistinctemails4w` for each `employmentstatus` from the `accountFraud` table:\n\n```sql\nSELECT employmentstatus, SUM(dateofbirthdistinctemails4w) AS total_distinct_emails\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00007185,"response_parsed":"SELECT employmentstatus, SUM(dateofbirthdistinctemails4w) AS total_distinct_emails\nFROM accountFraud\nGROUP BY employmentstatus;","time":1.095582962}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `employmentstatus`, MIN(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the min of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the minimum `sessionlengthminutes` for each `employmentstatus` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT employmentstatus, MIN(sessionlengthminutes) AS min_sessionlength\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00006705,"response_parsed":"SELECT employmentstatus, MIN(sessionlengthminutes) AS min_sessionlength\nFROM accountFraud\nGROUP BY employmentstatus;","time":1.2376863956}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `employmentstatus`, MAX(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the max of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the maximum session length in minutes for each employment status from the `accountFraud` table:\n\n```sql\nSELECT employmentstatus, MAX(sessionlengthminutes) AS max_session_length\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00006345,"response_parsed":"SELECT employmentstatus, MAX(sessionlengthminutes) AS max_session_length\nFROM accountFraud\nGROUP BY employmentstatus;","time":0.9115877151}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `employmentstatus`, AVG(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the avg of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT employmentstatus, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00004785,"response_parsed":"SELECT employmentstatus, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY employmentstatus;","time":0.9692468643}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `employmentstatus`, SUM(`sessionlengthminutes`) FROM `accountFraud` GROUP BY `employmentstatus`","question":"For each employmentstatus, find the sum of sessionlengthminutes in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the sum of `sessionlengthminutes` for each distinct `employmentstatus` from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT employmentstatus, SUM(sessionlengthminutes) AS total_session_length\nFROM accountFraud\nGROUP BY employmentstatus;\n```","cost":0.00006825,"response_parsed":"SELECT employmentstatus, SUM(sessionlengthminutes) AS total_session_length\nFROM accountFraud\nGROUP BY employmentstatus;","time":1.5905840397}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `paperlessdate`, COUNT(*) FROM `latePayment` GROUP BY `paperlessdate`","question":"For each paperlessdate, count the number of rows in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `latePayment` table for each unique `paperlessdate`, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate, COUNT(*) AS row_count\nFROM latePayment\nGROUP BY paperlessdate;\n```","cost":0.00006315,"response_parsed":"SELECT paperlessdate, COUNT(*) AS row_count\nFROM latePayment\nGROUP BY paperlessdate;","time":1.3004393578}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `paperlessbill`, COUNT(*) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, count the number of rows in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `latePayment` table for each distinct `paperlessbill`, you can use the following SQL query:\n\n```sql\nSELECT paperlessbill, COUNT(*) AS payment_count\nFROM latePayment\nGROUP BY paperlessbill;\n``` \n\nThis query selects the distinct `paperlessbill`, counts the number of entries for each distinct `paperlessbill`, and groups the results accordingly.","cost":0.00008115,"response_parsed":"SELECT paperlessbill, COUNT(*) AS payment_count\nFROM latePayment\nGROUP BY paperlessbill;","time":1.5693004131}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `customerid`, COUNT(*) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, count the number of rows in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `latePayment` table for each `customerid`, you can use the following SQL query:\n\n```sql\nSELECT customerid, COUNT(*) AS latePaymentCount\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.0000612,"response_parsed":"SELECT customerid, COUNT(*) AS latePaymentCount\nFROM latePayment\nGROUP BY customerid;","time":1.4197716713}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `duedate`, COUNT(*) FROM `latePayment` GROUP BY `duedate`","question":"For each duedate, count the number of rows in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"You can use the following SQL query to count the number of rows in the `latePayment` table for each `duedate`:\n\n```sql\nSELECT duedate, COUNT(*) AS number_of_late_payments\nFROM latePayment\nGROUP BY duedate;\n``` \n\nThis 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`.","cost":0.00008835,"response_parsed":"SELECT duedate, COUNT(*) AS number_of_late_payments\nFROM latePayment\nGROUP BY duedate;","time":2.324161768}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `invoicedate`, COUNT(*) FROM `latePayment` GROUP BY `invoicedate`","question":"For each invoicedate, count the number of rows in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of rows in the `latePayment` table for each `invoicedate`, you can use the following SQL code:\n\n```sql\nSELECT invoicedate, COUNT(*) AS count_of_payments\nFROM latePayment\nGROUP BY invoicedate;\n```","cost":0.00006435,"response_parsed":"SELECT invoicedate, COUNT(*) AS count_of_payments\nFROM latePayment\nGROUP BY invoicedate;","time":1.588265419}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `paperlessbill`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the min of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the minimum `daystosettle` for each `paperlessbill` from the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT paperlessbill, MIN(daystosettle) AS min_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;\n```\n\nThis query selects the `paperlessbill` and the minimum `daystosettle`, grouping the results by `paperlessbill` to ensure the minimum is calculated for each distinct bill.","cost":0.00009105,"response_parsed":"SELECT paperlessbill, MIN(daystosettle) AS min_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;","time":2.5807805061}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `paperlessbill`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the max of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the maximum value of `daystosettle` for each distinct `paperlessbill` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessbill, MAX(daystosettle) AS max_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;\n``` \n\nThis query selects the `paperlessbill` and the maximum `daystosettle` for each `paperlessbill`, grouping the results by `paperlessbill`.","cost":0.00009045,"response_parsed":"SELECT paperlessbill, MAX(daystosettle) AS max_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;","time":1.4352660179}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `paperlessbill`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the avg of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the average `daystosettle` for each unique `paperlessbill` in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT paperlessbill, AVG(daystosettle) AS avg_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;\n```","cost":0.00006885,"response_parsed":"SELECT paperlessbill, AVG(daystosettle) AS avg_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;","time":1.0276627541}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `paperlessbill`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the sum of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the sum of `daystosettle` for each `paperlessbill` from the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT paperlessbill, SUM(daystosettle) AS total_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;\n``` \n\nThis code selects each unique `paperlessbill`, calculates the total `daystosettle` for each, and groups the results by `paperlessbill`.","cost":0.00008805,"response_parsed":"SELECT paperlessbill, SUM(daystosettle) AS total_daystosettle\nFROM latePayment\nGROUP BY paperlessbill;","time":2.4207060337}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `paperlessbill`, MIN(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the min of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the minimum of `dayslate` for each `paperlessbill` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessbill, MIN(dayslate) AS min_dayslate\nFROM latePayment\nGROUP BY paperlessbill;\n``` \n\nThis query selects the `paperlessbill` and the minimum value of `dayslate`, grouping the results by each unique `paperlessbill`.","cost":0.0000849,"response_parsed":"SELECT paperlessbill, MIN(dayslate) AS min_dayslate\nFROM latePayment\nGROUP BY paperlessbill;","time":2.1644961834}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `paperlessbill`, MAX(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the max of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the maximum `dayslate` for each `paperlessbill` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessbill, MAX(dayslate) AS max_dayslate\nFROM latePayment\nGROUP BY paperlessbill;\n``` \n\nThis query selects the `paperlessbill` and the maximum value of `dayslate` for each distinct `paperlessbill`, grouping the results by `paperlessbill`.","cost":0.0000879,"response_parsed":"SELECT paperlessbill, MAX(dayslate) AS max_dayslate\nFROM latePayment\nGROUP BY paperlessbill;","time":1.7164721489}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `paperlessbill`, AVG(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the avg of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the average of `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT paperlessbill, AVG(dayslate) AS avg_dayslate\nFROM latePayment\nGROUP BY paperlessbill;\n``` \n\nThis query selects the `paperlessbill` and calculates the average (`AVG`) of `dayslate`, grouping the results by `paperlessbill`.","cost":0.0000855,"response_parsed":"SELECT paperlessbill, AVG(dayslate) AS avg_dayslate\nFROM latePayment\nGROUP BY paperlessbill;","time":2.1798012257}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `paperlessbill`, SUM(`dayslate`) FROM `latePayment` GROUP BY `paperlessbill`","question":"For each paperlessbill, find the sum of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the sum of `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT paperlessbill, SUM(dayslate) AS total_days_late\nFROM latePayment\nGROUP BY paperlessbill;\n``` \n\nThis SQL query groups the results by `paperlessbill` and calculates the sum of `dayslate` for each group.","cost":0.0000831,"response_parsed":"SELECT paperlessbill, SUM(dayslate) AS total_days_late\nFROM latePayment\nGROUP BY paperlessbill;","time":1.2991919518}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `customerid`, MIN(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the min of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the minimum `daystosettle` for each `customerid` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid, MIN(daystosettle) AS min_daystosettle\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.0000663,"response_parsed":"SELECT customerid, MIN(daystosettle) AS min_daystosettle\nFROM latePayment\nGROUP BY customerid;","time":1.3123173714}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `customerid`, MAX(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the max of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the maximum number of `daystosettle` for each `customerid` in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT customerid, MAX(daystosettle) AS max_daystosettle\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.0000675,"response_parsed":"SELECT customerid, MAX(daystosettle) AS max_daystosettle\nFROM latePayment\nGROUP BY customerid;","time":1.4231164455}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `customerid`, AVG(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the avg of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the average of `daystosettle` for each `customerid` from the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT customerid, AVG(daystosettle) AS avg_daystosettle\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.0000669,"response_parsed":"SELECT customerid, AVG(daystosettle) AS avg_daystosettle\nFROM latePayment\nGROUP BY customerid;","time":1.1581053734}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `customerid`, SUM(`daystosettle`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the sum of daystosettle in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the sum of `daystosettle` for each `customerid` in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid, SUM(daystosettle) AS total_daystosettle\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.0000669,"response_parsed":"SELECT customerid, SUM(daystosettle) AS total_daystosettle\nFROM latePayment\nGROUP BY customerid;","time":1.8091361523}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `customerid`, MIN(`dayslate`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the min of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the minimum of `dayslate` for each `customerid` in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid, MIN(dayslate) AS min_dayslate\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.00006495,"response_parsed":"SELECT customerid, MIN(dayslate) AS min_dayslate\nFROM latePayment\nGROUP BY customerid;","time":1.0014610291}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `customerid`, MAX(`dayslate`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the max of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to find the maximum of `dayslate` for each `customerid` in the `latePayment` table:\n\n```sql\nSELECT customerid, MAX(dayslate) AS max_dayslate\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.00006315,"response_parsed":"SELECT customerid, MAX(dayslate) AS max_dayslate\nFROM latePayment\nGROUP BY customerid;","time":1.8857159615}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `customerid`, AVG(`dayslate`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the avg of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"You can use the following SQL code to calculate the average of `dayslate` for each `customerid` in the `latePayment` table:\n\n```sql\nSELECT customerid, AVG(dayslate) AS avg_dayslate\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.00006435,"response_parsed":"SELECT customerid, AVG(dayslate) AS avg_dayslate\nFROM latePayment\nGROUP BY customerid;","time":1.3341281414}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `customerid`, SUM(`dayslate`) FROM `latePayment` GROUP BY `customerid`","question":"For each customerid, find the sum of dayslate in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To sum the `dayslate` for each `customerid` in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid, SUM(dayslate) AS total_days_late\nFROM latePayment\nGROUP BY customerid;\n```","cost":0.00006435,"response_parsed":"SELECT customerid, SUM(dayslate) AS total_days_late\nFROM latePayment\nGROUP BY customerid;","time":1.3397417068}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) >= 5","question":"Find all the paymenttype that have at least 5 records in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) >= 5;\n```","cost":0.00004665,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) >= 5;","time":0.8338215351}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING count(*) <= 5","question":"Find all the paymenttype that have at most 5 records in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find all the `paymenttype` values that have at most 5 records in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) <= 5;\n``` \n\nThis 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.","cost":0.00008805,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) <= 5;","time":1.9888892174}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) >= 5","question":"Find all the deviceos that have at least 5 records in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find all the unique `deviceos` that have at least 5 records in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) >= 5;\n```","cost":0.00006645,"response_parsed":"SELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) >= 5;","time":1.1345081329}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING count(*) <= 5","question":"Find all the deviceos that have at most 5 records in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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.\n\nHere\u2019s the SQL code for that:\n\n```sql\nSELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) <= 5;\n```","cost":0.00008925,"response_parsed":"SELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) <= 5;","time":1.3772752285}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) >= 10","question":"Find all the emailisfree that have at least 10 records in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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\u2019s the SQL code to execute:\n\n```sql\nSELECT emailisfree\nFROM accountFraud\nGROUP BY emailisfree\nHAVING COUNT(*) >= 10;\n```","cost":0.0000864,"response_parsed":"SELECT emailisfree\nFROM accountFraud\nGROUP BY emailisfree\nHAVING COUNT(*) >= 10;","time":1.4250221252}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `emailisfree` FROM `accountFraud` GROUP BY `emailisfree` HAVING count(*) <= 10","question":"Find all the emailisfree that have at most 10 records in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find all the distinct `emailisfree` values that have at most 10 records in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree\nFROM accountFraud\nGROUP BY emailisfree\nHAVING COUNT(*) <= 10;\n``` \n\nThis 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.","cost":0.0000912,"response_parsed":"SELECT emailisfree\nFROM accountFraud\nGROUP BY emailisfree\nHAVING COUNT(*) <= 10;","time":1.5084204674}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) >= 141.44","question":"List the hasothercards which average of creditriskscore is at least 141.44 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to list the `hasothercards` where the average `creditriskscore` is at least 141.44 from the `accountFraud` table:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(creditriskscore) >= 141.44;\n```","cost":0.0000759,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(creditriskscore) >= 141.44;","time":1.2866427898}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`creditriskscore`) <= 141.44","question":"List the hasothercards which average of creditriskscore is at most 141.44 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the `hasothercards` where the average `creditriskscore` is at most 141.44 from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(creditriskscore) <= 141.44;\n```","cost":0.0000777,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(creditriskscore) <= 141.44;","time":2.4047784805}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) >= 1144.5","question":"List the hasothercards which summation of creditriskscore is at least 1144.5 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(creditriskscore) >= 1144.5;\n```","cost":0.000081,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(creditriskscore) >= 1144.5;","time":2.1854183674}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`creditriskscore`) <= 1144.5","question":"List the hasothercards which summation of creditriskscore is at most 1144.5 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(creditriskscore) <= 1144.5;\n```","cost":0.000054,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(creditriskscore) <= 1144.5;","time":1.0729548931}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) >= 7.85","question":"List the hasothercards which average of sessionlengthminutes is at least 7.85 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the required information from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(sessionlengthminutes) >= 7.85;\n``` \n\nThis 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.","cost":0.00009255,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(sessionlengthminutes) >= 7.85;","time":1.5181970596}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING AVG(`sessionlengthminutes`) <= 7.85","question":"List the hasothercards which average of sessionlengthminutes is at most 7.85 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(sessionlengthminutes) <= 7.85;\n```","cost":0.00007695,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(sessionlengthminutes) <= 7.85;","time":0.9843597412}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) >= 58.5","question":"List the hasothercards which summation of sessionlengthminutes is at least 58.5 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To execute the given query on the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(sessionlengthminutes) >= 58.5;\n``` \n\nThis code will select the distinct `hasothercards` entries and sum their corresponding `sessionlengthminutes`, returning only those entries where the total is at least 58.5.","cost":0.0000873,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(sessionlengthminutes) >= 58.5;","time":3.3491928577}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING SUM(`sessionlengthminutes`) <= 58.5","question":"List the hasothercards which summation of sessionlengthminutes is at most 58.5 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(sessionlengthminutes) <= 58.5;\n```","cost":0.0000777,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(sessionlengthminutes) <= 58.5;","time":1.7269289494}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) >= 109.56","question":"List the paymenttype which average of creditriskscore is at least 109.56 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) >= 109.56;\n```","cost":0.00005175,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) >= 109.56;","time":1.0498430729}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`creditriskscore`) <= 109.56","question":"List the paymenttype which average of creditriskscore is at most 109.56 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) <= 109.56;\n``` \n\nThis 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.","cost":0.00010035,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) <= 109.56;","time":2.1181294918}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) >= 572.25","question":"List the paymenttype which summation of creditriskscore is at least 572.25 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) >= 572.25;\n``` \n\nThis 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.","cost":0.0001149,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) >= 572.25;","time":3.4698722363}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`creditriskscore`) <= 572.25","question":"List the paymenttype which summation of creditriskscore is at most 572.25 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) <= 572.25;\n```","cost":0.0000771,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) <= 572.25;","time":1.5168075562}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) >= 5.45","question":"List the paymenttype which average of sessionlengthminutes is at least 5.45 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To list the `paymenttype` from the `accountFraud` table where the average `sessionlengthminutes` is at least 5.45, you can use the following SQL query:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) >= 5.45;\n```","cost":0.0000738,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) >= 5.45;","time":1.944309473}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING AVG(`sessionlengthminutes`) <= 5.45","question":"List the paymenttype which average of sessionlengthminutes is at most 5.45 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) <= 5.45;\n```","cost":0.000072,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) <= 5.45;","time":1.5494911671}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) >= 29.25","question":"List the paymenttype which summation of sessionlengthminutes is at least 29.25 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(sessionlengthminutes) >= 29.25;\n```","cost":0.00007395,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(sessionlengthminutes) >= 29.25;","time":4.5178849697}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING SUM(`sessionlengthminutes`) <= 29.25","question":"List the paymenttype which summation of sessionlengthminutes is at most 29.25 in table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(sessionlengthminutes) <= 29.25;\n```","cost":0.00007515,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(sessionlengthminutes) <= 29.25;","time":1.1868760586}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) >= 1","question":"Find all the customerid that have at least 1 records in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find all the `customerid`s that have at least one record in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT customerid\nFROM latePayment;\n``` \n\nThis query selects unique `customerid`s from the `latePayment` table, which implies that each `customerid` has at least one record.","cost":0.0000753,"response_parsed":"SELECT DISTINCT customerid\nFROM latePayment;","time":2.1966149807}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING count(*) <= 1","question":"Find all the customerid that have at most 1 records in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to find all the `customerid` values that have at most 1 record in the `latePayment` table:\n\n```sql\nSELECT customerid\nFROM latePayment\nGROUP BY customerid\nHAVING COUNT(*) <= 1;\n```","cost":0.0000633,"response_parsed":"SELECT customerid\nFROM latePayment\nGROUP BY customerid\nHAVING COUNT(*) <= 1;","time":0.8933022022}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) >= 10","question":"Find all the disputed that have at least 10 records in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find all the disputes that have at least 10 records in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT disputed\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(*) >= 10;\n``` \n\nThis 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.","cost":0.00009015,"response_parsed":"SELECT disputed\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(*) >= 10;","time":2.4176087379}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING count(*) <= 10","question":"Find all the disputed that have at most 10 records in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT disputed\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(*) <= 10;\n``` \n\nThis query selects the `disputed` values from the `latePayment` table, groups them, and filters out any groups (disputed values) that have more than 10 records.","cost":0.00009855,"response_parsed":"SELECT disputed\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(*) <= 10;","time":1.3823239803}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) >= 10","question":"Find all the paperlessbill that have at least 10 records in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find all the `paperlessbill` entries that have at least 10 records in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) >= 10;\n``` \n\nThis 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.","cost":0.00009705,"response_parsed":"SELECT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) >= 10;","time":4.3184461594}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `paperlessbill` FROM `latePayment` GROUP BY `paperlessbill` HAVING count(*) <= 10","question":"Find all the paperlessbill that have at most 10 records in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find all the `paperlessbill` entries in the `latePayment` table that have at most 10 records, you can use the following SQL query:\n\n```sql\nSELECT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) <= 10;\n``` \n\nThis SQL code groups the results by `paperlessbill` and filters those groups to only include those with 10 or fewer records.","cost":0.00008385,"response_parsed":"SELECT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) <= 10;","time":1.6868879795}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) >= 2.95","question":"List the invoicedate which average of dayslate is at least 2.95 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the invoicedate where the average of dayslate is at least 2.95 from the `latePayment` table:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) >= 2.95;\n```","cost":0.00006945,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) >= 2.95;","time":1.62195611}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`dayslate`) <= 2.95","question":"List the invoicedate which average of dayslate is at most 2.95 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) <= 2.95;\n```","cost":0.00007485,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) <= 2.95;","time":1.2375090122}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) >= 2.95","question":"List the invoicedate which summation of dayslate is at least 2.95 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) >= 2.95;\n``` \n\nThis 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.","cost":0.0000966,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) >= 2.95;","time":6.0097432137}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`dayslate`) <= 2.95","question":"List the invoicedate which summation of dayslate is at most 2.95 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) <= 2.95;\n``` \n\nThis 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.","cost":0.0001002,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) <= 2.95;","time":2.4018831253}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) >= 4902805164.55","question":"List the invoicedate which average of invoicenumber is at least 4902805164.55 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(invoicenumber) >= 4902805164.55;\n```","cost":0.00005385,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(invoicenumber) >= 4902805164.55;","time":0.9280986786}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING AVG(`invoicenumber`) <= 4902805164.55","question":"List the invoicedate which average of invoicenumber is at most 4902805164.55 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(invoicenumber) <= 4902805164.55;\n```","cost":0.00005385,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(invoicenumber) <= 4902805164.55;","time":0.9732868671}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) >= 4902805164.55","question":"List the invoicedate which summation of invoicenumber is at least 4902805164.55 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) >= 4902805164.55;\n``` \n\nThis 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.","cost":0.000105,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) >= 4902805164.55;","time":2.3912665844}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `invoicedate` FROM `latePayment` GROUP BY `invoicedate` HAVING SUM(`invoicenumber`) <= 4902805164.55","question":"List the invoicedate which summation of invoicenumber is at most 4902805164.55 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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`.\n\nHere is the SQL code that accomplishes that:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) <= 4902805164.55;\n```","cost":0.0001176,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) <= 4902805164.55;","time":1.5986731052}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) >= 1.43","question":"List the paperlessdate which average of dayslate is at least 1.43 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING AVG(dayslate) >= 1.43;\n```","cost":0.00007425,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING AVG(dayslate) >= 1.43;","time":1.9568963051}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`dayslate`) <= 1.43","question":"List the paperlessdate which average of dayslate is at most 1.43 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(dayslate) <= 1.43;\n```","cost":0.00007605,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(dayslate) <= 1.43;","time":1.3849065304}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) >= 3.47","question":"List the paperlessdate which summation of dayslate is at least 3.47 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) >= 3.47;\n```","cost":0.0000744,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) >= 3.47;","time":1.4746198654}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`dayslate`) <= 3.47","question":"List the paperlessdate which summation of dayslate is at most 3.47 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) <= 3.47;\n```","cost":0.0000744,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) <= 3.47;","time":1.7400200367}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) >= 4611214877.81","question":"List the paperlessdate which average of invoicenumber is at least 4611214877.81 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(invoicenumber) >= 4611214877.81;\n```","cost":0.00005385,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(invoicenumber) >= 4611214877.81;","time":1.3671307564}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING AVG(`invoicenumber`) <= 4611214877.81","question":"List the paperlessdate which average of invoicenumber is at most 4611214877.81 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING AVG(invoicenumber) <= 4611214877.81;\n```","cost":0.00008025,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING AVG(invoicenumber) <= 4611214877.81;","time":1.505074501}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) >= 5768006075.94","question":"List the paperlessdate which summation of invoicenumber is at least 5768006075.94 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) >= 5768006075.94;\n```","cost":0.0000816,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) >= 5768006075.94;","time":1.7217483521}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING SUM(`invoicenumber`) <= 5768006075.94","question":"List the paperlessdate which summation of invoicenumber is at most 5768006075.94 in table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) <= 5768006075.94;\n```","cost":0.000081,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) <= 5768006075.94;","time":1.4830236435}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `housingstatus`) = (SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`)","question":"What are the hasothercards with all the housingstatus in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the distinct `hasothercards` values along with their associated `housingstatus` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT hasothercards, housingstatus\nFROM accountFraud;\n```","cost":0.0000627,"response_parsed":"SELECT DISTINCT hasothercards, housingstatus\nFROM accountFraud;","time":0.8748679161}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`)","question":"What are the hasothercards with all the paymenttype in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the unique values of \"hasothercards\" along with all associated \"paymenttype\" values from the \"accountFraud\" table, you can use the following SQL code:\n\n```sql\nSELECT hasothercards, paymenttype\nFROM accountFraud\nORDER BY hasothercards;\n```\n\nThis 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:\n\n```sql\nSELECT DISTINCT hasothercards, paymenttype\nFROM accountFraud\nORDER BY hasothercards;\n``` \n\nThis will ensure that each combination of `hasothercards` and `paymenttype` is represented only once in the result set.","cost":0.0001377,"response_parsed":"SELECT DISTINCT hasothercards, paymenttype\nFROM accountFraud\nORDER BY hasothercards;","time":2.8787620068}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `employmentstatus`) = (SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`)","question":"What are the hasothercards with all the employmentstatus in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the unique values of \"hasothercards\" associated with all different \"employmentstatus\" entries from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT hasothercards, employmentstatus\nFROM accountFraud;\n``` \n\nThis query selects distinct combinations of \"hasothercards\" and \"employmentstatus\" from the `accountFraud` table, allowing you to see all the unique associations between the two columns.","cost":0.0000873,"response_parsed":"SELECT DISTINCT hasothercards, employmentstatus\nFROM accountFraud;","time":1.9089138508}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `deviceos`) = (SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`)","question":"What are the hasothercards with all the deviceos in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT DISTINCT hasothercards\nFROM accountFraud\nWHERE deviceos IS NOT NULL;\n```\n\nThis 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.","cost":0.0001065,"response_parsed":"SELECT DISTINCT hasothercards\nFROM accountFraud\nWHERE deviceos IS NOT NULL;","time":2.7696819305}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `hasothercards` FROM `accountFraud` GROUP BY `hasothercards` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`)","question":"What are the hasothercards with all the emailisfree in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the `hasothercards` values for all records in the `accountFraud` table where `emailisfree` is true, you can use the following SQL code:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nWHERE emailisfree = 'true';\n```\n\nMake 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'`.","cost":0.00009765,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nWHERE emailisfree = 'true';","time":1.970130682}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `paymenttype`) = (SELECT COUNT(DISTINCT `paymenttype`) FROM `accountFraud`)","question":"What are the housingstatus with all the paymenttype in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the distinct combinations of `housingstatus` and `paymenttype` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT housingstatus, paymenttype \nFROM accountFraud;\n```","cost":0.00006015,"response_parsed":"SELECT DISTINCT housingstatus, paymenttype \nFROM accountFraud;","time":1.2701458931}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `housingstatus` FROM `accountFraud` GROUP BY `housingstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`)","question":"What are the housingstatus with all the emailisfree in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the `housingstatus` values from the `accountFraud` table where `emailisfree` is true, you can use the following SQL query:\n\n```sql\nSELECT housingstatus \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nMake 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.","cost":0.0001047,"response_parsed":"SELECT housingstatus \nFROM accountFraud \nWHERE emailisfree = 'true';","time":2.3886814117}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `paymenttype` FROM `accountFraud` GROUP BY `paymenttype` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`)","question":"What are the paymenttype with all the emailisfree in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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. \n\nHere's the SQL code to do that:\n\n```sql\nSELECT DISTINCT paymenttype\nFROM accountFraud\nWHERE paymenttype IS NOT NULL\nGROUP BY paymenttype\nHAVING COUNT(*) = SUM(CASE WHEN emailisfree IS NOT NULL THEN 1 ELSE 0 END);\n``` \n\nThis 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.","cost":0.0001203,"response_parsed":"SELECT DISTINCT paymenttype\nFROM accountFraud\nWHERE paymenttype IS NOT NULL\nGROUP BY paymenttype\nHAVING COUNT(*) = SUM(CASE WHEN emailisfree IS NOT NULL THEN 1 ELSE 0 END);","time":2.4479544163}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `employmentstatus` FROM `accountFraud` GROUP BY `employmentstatus` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`)","question":"What are the employmentstatus with all the emailisfree in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT employmentstatus\nFROM accountFraud\nWHERE emailisfree = 'true';\n``` \n\nMake sure to adjust the condition for `emailisfree` as per the actual representation in your database if it's different.","cost":0.0000903,"response_parsed":"SELECT employmentstatus\nFROM accountFraud\nWHERE emailisfree = 'true';","time":1.8303272724}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `deviceos` FROM `accountFraud` GROUP BY `deviceos` HAVING COUNT(DISTINCT `emailisfree`) = (SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`)","question":"What are the deviceos with all the emailisfree in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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:\n\n```sql\nSELECT DISTINCT deviceos\nFROM accountFraud\nWHERE emailisfree = 'true';\n```\n\nThis 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.","cost":0.0001071,"response_parsed":"SELECT DISTINCT deviceos\nFROM accountFraud\nWHERE emailisfree = 'true';","time":3.116435051}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`)","question":"What are the customerid with all the disputed in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the `customerid` values associated with all disputed records in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT customerid \nFROM latePayment \nWHERE disputed = 'true';  -- Assuming 'true' indicates a disputed payment.\n```\n\nMake 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).","cost":0.00008805,"response_parsed":"SELECT DISTINCT customerid \nFROM latePayment \nWHERE disputed = 'true';  -- Assuming 'true' indicates a disputed payment.","time":2.4439971447}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `customerid` FROM `latePayment` GROUP BY `customerid` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`)","question":"What are the customerid with all the paperlessbill in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the `customerid`s with all the `paperlessbill` in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT customerid\nFROM latePayment\nWHERE paperlessbill IS NOT NULL AND paperlessbill != '';\n```\n\nThis 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.","cost":0.00009315,"response_parsed":"SELECT DISTINCT customerid\nFROM latePayment\nWHERE paperlessbill IS NOT NULL AND paperlessbill != '';","time":2.316505909}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `disputed`) = (SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`)","question":"What are the paperlessdate with all the disputed in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the `paperlessdate` along with all records where `disputed` is true from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nWHERE disputed IS NOT NULL AND disputed <> '';\n```\n\nThis 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.","cost":0.0001062,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nWHERE disputed IS NOT NULL AND disputed <> '';","time":2.3972451687}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `paperlessdate` FROM `latePayment` GROUP BY `paperlessdate` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`)","question":"What are the paperlessdate with all the paperlessbill in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the `paperlessdate` along with all the `paperlessbill` entries from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate, paperlessbill \nFROM latePayment;\n``` \n\nThis query selects the columns `paperlessdate` and `paperlessbill` from the `latePayment` table.","cost":0.0000765,"response_parsed":"SELECT paperlessdate, paperlessbill \nFROM latePayment;","time":7.6227278709}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `disputed` FROM `latePayment` GROUP BY `disputed` HAVING COUNT(DISTINCT `paperlessbill`) = (SELECT COUNT(DISTINCT `paperlessbill`) FROM `latePayment`)","question":"What are the disputed with all the paperlessbill in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the disputed records with all the `paperlessbill` entries in the `latePayment` table, the SQL query would look something like this:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed IS NOT NULL AND paperlessbill IS NOT NULL;\n```\n\nThis 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).","cost":0.0000972,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed IS NOT NULL AND paperlessbill IS NOT NULL;","time":4.7533063889}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `accountFraud` ORDER BY `deviceos` ASC","question":"Show all data ordered by deviceos in ascending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM accountFraud\nORDER BY deviceos ASC;\n```","cost":0.0000411,"response_parsed":"SELECT * FROM accountFraud\nORDER BY deviceos ASC;","time":0.7058024406}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `accountFraud` ORDER BY `deviceos` DESC","question":"Show all data ordered by deviceos in descending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM accountFraud\nORDER BY deviceos DESC;\n```","cost":0.0000411,"response_parsed":"SELECT * FROM accountFraud\nORDER BY deviceos DESC;","time":0.620085001}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` ASC","question":"Show all data ordered by dateofbirthdistinctemails4w in ascending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch all data from the `accountFraud` table ordered by `dateofbirthdistinctemails4w` in ascending order:\n\n```sql\nSELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w ASC;\n```","cost":0.00006405,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w ASC;","time":1.5083456039}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `accountFraud` ORDER BY `dateofbirthdistinctemails4w` DESC","question":"Show all data ordered by dateofbirthdistinctemails4w in descending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here's the SQL code to fetch all data from the `accountFraud` table ordered by `dateofbirthdistinctemails4w` in descending order:\n\n```sql\nSELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w DESC;\n```","cost":0.00006345,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w DESC;","time":0.9798743725}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` ASC","question":"Project the creditriskscore ordered in ascending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to project the `creditriskscore` from the `accountFraud` table and order it in ascending order:\n\n```sql\nSELECT creditriskscore\nFROM accountFraud\nORDER BY creditriskscore ASC;\n```","cost":0.0000621,"response_parsed":"SELECT creditriskscore\nFROM accountFraud\nORDER BY creditriskscore ASC;","time":0.9793212414}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `creditriskscore` FROM `accountFraud` ORDER BY `creditriskscore` DESC","question":"Project the creditriskscore ordered in descending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to project the `creditriskscore` from the `accountFraud` table and order it in descending order:\n\n```sql\nSELECT creditriskscore \nFROM accountFraud\nORDER BY creditriskscore DESC;\n```","cost":0.0000621,"response_parsed":"SELECT creditriskscore \nFROM accountFraud\nORDER BY creditriskscore DESC;","time":1.0024900436}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` ASC","question":"Project the sessionlengthminutes ordered in ascending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to project the `sessionlengthminutes` from the `accountFraud` table, ordered in ascending order:\n\n```sql\nSELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes ASC;\n```","cost":0.00005955,"response_parsed":"SELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes ASC;","time":1.5355703831}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `sessionlengthminutes` FROM `accountFraud` ORDER BY `sessionlengthminutes` DESC","question":"Project the sessionlengthminutes ordered in descending order for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here's the SQL code to fetch the `sessionlengthminutes` from the `accountFraud` table, ordered in descending order:\n\n```sql\nSELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes DESC;\n```","cost":0.00005895,"response_parsed":"SELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes DESC;","time":0.9086196423}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `latePayment` ORDER BY `invoicenumber` ASC","question":"Show all data ordered by invoicenumber in ascending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM latePayment\nORDER BY invoicenumber ASC;\n```","cost":0.0000411,"response_parsed":"SELECT * FROM latePayment\nORDER BY invoicenumber ASC;","time":0.5344843864}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `latePayment` ORDER BY `invoicenumber` DESC","question":"Show all data ordered by invoicenumber in descending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch all data from the `latePayment` table, ordered by `invoicenumber` in descending order:\n\n```sql\nSELECT * FROM latePayment\nORDER BY invoicenumber DESC;\n```","cost":0.0000585,"response_parsed":"SELECT * FROM latePayment\nORDER BY invoicenumber DESC;","time":1.052380085}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `latePayment` ORDER BY `invoiceamount` ASC","question":"Show all data ordered by invoiceamount in ascending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM latePayment\nORDER BY invoiceamount ASC;\n```","cost":0.00004035,"response_parsed":"SELECT * FROM latePayment\nORDER BY invoiceamount ASC;","time":0.5980093479}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `latePayment` ORDER BY `invoiceamount` DESC","question":"Show all data ordered by invoiceamount in descending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch all data from the `latePayment` table ordered by `invoiceamount` in descending order:\n\n```sql\nSELECT * FROM latePayment\nORDER BY invoiceamount DESC;\n```","cost":0.00005595,"response_parsed":"SELECT * FROM latePayment\nORDER BY invoiceamount DESC;","time":1.0608992577}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` ASC","question":"Project the daystosettle ordered in ascending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here's the SQL code to project the `daystosettle` column ordered in ascending order from the `latePayment` table:\n\n```sql\nSELECT daystosettle\nFROM latePayment\nORDER BY daystosettle ASC;\n```","cost":0.0000576,"response_parsed":"SELECT daystosettle\nFROM latePayment\nORDER BY daystosettle ASC;","time":1.0670218468}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `daystosettle` FROM `latePayment` ORDER BY `daystosettle` DESC","question":"Project the daystosettle ordered in descending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the `daystosettle` from the `latePayment` table ordered in descending order, you can use the following SQL code:\n\n```sql\nSELECT daystosettle \nFROM latePayment \nORDER BY daystosettle DESC;\n```","cost":0.0000594,"response_parsed":"SELECT daystosettle \nFROM latePayment \nORDER BY daystosettle DESC;","time":1.1947872639}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `disputed` FROM `latePayment` ORDER BY `disputed` ASC","question":"Project the disputed ordered in ascending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To project the disputes in the `latePayment` table ordered in ascending order, you can use the following SQL code:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed = 'true'\nORDER BY invoicedate ASC;\n```\n\nThis 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.","cost":0.0001023,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed = 'true'\nORDER BY invoicedate ASC;","time":1.9248268604}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `disputed` FROM `latePayment` ORDER BY `disputed` DESC","question":"Project the disputed ordered in descending order for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To project the disputed orders in descending order based on the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed = 'yes'\nORDER BY invoicedate DESC;\n```\n\nIn 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.","cost":0.0001023,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed = 'yes'\nORDER BY invoicedate DESC;","time":1.7243850231}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `emailisfree` FROM `accountFraud`","question":"Show all emailisfree in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve all entries from the `accountFraud` table where the `emailisfree` column is not null or empty, you can use the following SQL query:\n\n```sql\nSELECT emailisfree \nFROM accountFraud;\n``` \n\nThis 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:\n\n```sql\nSELECT emailisfree \nFROM accountFraud \nWHERE emailisfree IS NOT NULL AND emailisfree <> '';\n```","cost":0.00011115,"response_parsed":"SELECT emailisfree \nFROM accountFraud \nWHERE emailisfree IS NOT NULL AND emailisfree <> '';","time":2.5078921318}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `employmentstatus` FROM `accountFraud`","question":"Show all employmentstatus in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch all unique employment statuses from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT employmentstatus FROM accountFraud;\n```","cost":0.0000516,"response_parsed":"SELECT DISTINCT employmentstatus FROM accountFraud;","time":0.8371238708}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `deviceos` FROM `accountFraud`","question":"Show all deviceos in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve all device operating systems (deviceos) from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT deviceos FROM accountFraud;\n```","cost":0.0000534,"response_parsed":"SELECT deviceos FROM accountFraud;","time":0.9135780334}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `sessionlengthminutes` FROM `accountFraud`","question":"Show all sessionlengthminutes in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch all values of `sessionlengthminutes` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT sessionlengthminutes FROM accountFraud;\n```","cost":0.00005415,"response_parsed":"SELECT sessionlengthminutes FROM accountFraud;","time":1.2345616817}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `housingstatus` FROM `accountFraud`","question":"Show all housingstatus in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch all the unique `housingstatus` values from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT housingstatus FROM accountFraud;\n```","cost":0.000054,"response_parsed":"SELECT DISTINCT housingstatus FROM accountFraud;","time":0.8979270458}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `accountFraud`","question":"Show all the rows in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM accountFraud;\n```","cost":0.0000366,"response_parsed":"SELECT * FROM accountFraud;","time":0.4238498211}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `emailisfree` FROM `accountFraud`","question":"Show all emailisfree in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch all values of the `emailisfree` column from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT emailisfree FROM accountFraud;\n```","cost":0.00005535,"response_parsed":"SELECT emailisfree FROM accountFraud;","time":0.9451706409}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `income`, `housingstatus` FROM `accountFraud`","question":"Show all income, housingstatus in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT income, housingstatus FROM accountFraud;\n```","cost":0.0000387,"response_parsed":"SELECT income, housingstatus FROM accountFraud;","time":0.8156535625}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `hasothercards`, `deviceos`, `creditriskscore` FROM `accountFraud`","question":"Show all hasothercards, deviceos, creditriskscore in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT hasothercards, deviceos, creditriskscore \nFROM accountFraud;\n```","cost":0.00004455,"response_parsed":"SELECT hasothercards, deviceos, creditriskscore \nFROM accountFraud;","time":1.2346172333}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype` FROM `accountFraud`","question":"Show all housingstatus, creditriskscore, sessionlengthminutes, paymenttype in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype \nFROM accountFraud;\n```","cost":0.0000468,"response_parsed":"SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype \nFROM accountFraud;","time":0.8505859375}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes` FROM `accountFraud`","question":"Show all dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the requested columns from the `accountFraud` table:\n\n```sql\nSELECT \n    dateofbirthdistinctemails4w, \n    income, \n    deviceos, \n    hasothercards, \n    sessionlengthminutes \nFROM \n    accountFraud;\n```","cost":0.0000699,"response_parsed":"SELECT \n    dateofbirthdistinctemails4w, \n    income, \n    deviceos, \n    hasothercards, \n    sessionlengthminutes \nFROM \n    accountFraud;","time":1.1576957703}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `hasothercards`, `emailisfree`, `employmentstatus`, `dateofbirthdistinctemails4w`, `sessionlengthminutes`, `income` FROM `accountFraud`","question":"Show all hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the specified columns from the `accountFraud` table based on the provided question, you can use the following SQL query:\n\n```sql\nSELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income\nFROM accountFraud;\n```","cost":0.0000705,"response_parsed":"SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income\nFROM accountFraud;","time":1.8630757332}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, `income` FROM `accountFraud`","question":"Show all creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the required data from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income\nFROM accountFraud;\n```","cost":0.00006675,"response_parsed":"SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income\nFROM accountFraud;","time":1.5885827541}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `creditriskscore`, `sessionlengthminutes`, `emailisfree`, `deviceos`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `hasothercards` FROM `accountFraud`","question":"Show all creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT \n    creditriskscore, \n    sessionlengthminutes, \n    emailisfree, \n    deviceos, \n    paymenttype, \n    dateofbirthdistinctemails4w, \n    employmentstatus, \n    hasothercards \nFROM \n    accountFraud;\n```","cost":0.00007185,"response_parsed":"SELECT \n    creditriskscore, \n    sessionlengthminutes, \n    emailisfree, \n    deviceos, \n    paymenttype, \n    dateofbirthdistinctemails4w, \n    employmentstatus, \n    hasothercards \nFROM \n    accountFraud;","time":1.8660326004}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `housingstatus`, `paymenttype`, `dateofbirthdistinctemails4w`, `employmentstatus`, `creditriskscore`, `deviceos`, `emailisfree`, `income`, `sessionlengthminutes` FROM `accountFraud`","question":"Show all housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes in the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes\nFROM accountFraud;\n```","cost":0.0000618,"response_parsed":"SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes\nFROM accountFraud;","time":1.0162551403}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `paperlessbill` FROM `latePayment`","question":"Show all paperlessbill in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve all entries where the `paperlessbill` column in the `latePayment` table is present, you can use the following SQL query:\n\n```sql\nSELECT * \nFROM latePayment \nWHERE paperlessbill IS NOT NULL;\n``` \n\nThis 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\u2019s applicable), you would adjust the WHERE clause accordingly.","cost":0.0000984,"response_parsed":"SELECT * \nFROM latePayment \nWHERE paperlessbill IS NOT NULL;","time":1.6324322224}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `invoiceamount` FROM `latePayment`","question":"Show all invoiceamount in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve all `invoiceamount` values from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT invoiceamount FROM latePayment;\n```","cost":0.00005085,"response_parsed":"SELECT invoiceamount FROM latePayment;","time":0.8107511997}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `paperlessdate` FROM `latePayment`","question":"Show all paperlessdate in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch all `paperlessdate` values from the `latePayment` table:\n\n```sql\nSELECT paperlessdate FROM latePayment;\n```","cost":0.0000504,"response_parsed":"SELECT paperlessdate FROM latePayment;","time":0.9942066669}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `duedate` FROM `latePayment`","question":"Show all duedate in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve all due dates from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT duedate FROM latePayment;\n```","cost":0.0000498,"response_parsed":"SELECT duedate FROM latePayment;","time":1.1356143951}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `daystosettle` FROM `latePayment`","question":"Show all daystosettle in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch all `daystosettle` values from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT daystosettle FROM latePayment;\n```","cost":0.0000522,"response_parsed":"SELECT daystosettle FROM latePayment;","time":1.2793428898}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `latePayment`","question":"Show all the rows in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM latePayment;\n```","cost":0.00003585,"response_parsed":"SELECT * FROM latePayment;","time":0.4044063091}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `disputed` FROM `latePayment`","question":"Show all disputed in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve all entries from the `latePayment` table where the disputes are indicated, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed IS NOT NULL AND disputed <> '';\n```\n\nThis 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.","cost":0.0000777,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed IS NOT NULL AND disputed <> '';","time":1.5864095688}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `duedate`, `customerid` FROM `latePayment`","question":"Show all duedate, customerid in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT duedate, customerid FROM latePayment;\n```","cost":0.00003945,"response_parsed":"SELECT duedate, customerid FROM latePayment;","time":0.7582056522}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `paperlessdate`, `duedate`, `customerid` FROM `latePayment`","question":"Show all paperlessdate, duedate, customerid in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here's the SQL code to fetch the specified columns from the `latePayment` table:\n\n```sql\nSELECT paperlessdate, duedate, customerid \nFROM latePayment;\n```","cost":0.00005325,"response_parsed":"SELECT paperlessdate, duedate, customerid \nFROM latePayment;","time":0.7648472786}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `daystosettle`, `paperlessdate`, `invoicedate`, `duedate` FROM `latePayment`","question":"Show all daystosettle, paperlessdate, invoicedate, duedate in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the desired information from the `latePayment` table:\n\n```sql\nSELECT daystosettle, paperlessdate, invoicedate, duedate\nFROM latePayment;\n```","cost":0.0000576,"response_parsed":"SELECT daystosettle, paperlessdate, invoicedate, duedate\nFROM latePayment;","time":1.2230238914}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `paperlessdate`, `invoicedate`, `dayslate`, `invoicenumber`, `duedate` FROM `latePayment`","question":"Show all paperlessdate, invoicedate, dayslate, invoicenumber, duedate in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the required information from the `latePayment` table as specified in your question, you can use the following SQL code:\n\n```sql\nSELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate\nFROM latePayment;\n```","cost":0.00006465,"response_parsed":"SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate\nFROM latePayment;","time":1.2918200493}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `invoiceamount`, `daystosettle`, `disputed`, `paperlessdate`, `duedate`, `invoicenumber` FROM `latePayment`","question":"Show all invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to return the specified columns from the `latePayment` table:\n\n```sql\nSELECT \n    invoiceamount, \n    daystosettle, \n    disputed, \n    paperlessdate, \n    duedate, \n    invoicenumber \nFROM \n    latePayment;\n```","cost":0.00006975,"response_parsed":"SELECT \n    invoiceamount, \n    daystosettle, \n    disputed, \n    paperlessdate, \n    duedate, \n    invoicenumber \nFROM \n    latePayment;","time":1.1113381386}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed` FROM `latePayment`","question":"Show all customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the specified fields from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed\nFROM latePayment;\n```","cost":0.00006465,"response_parsed":"SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed\nFROM latePayment;","time":1.221143961}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `daystosettle`, `customerid`, `paperlessbill`, `paperlessdate`, `invoicedate`, `duedate`, `invoicenumber`, `disputed` FROM `latePayment`","question":"Show all daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the specified columns from the `latePayment` table, the SQL query would look like this:\n\n```sql\nSELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed\nFROM latePayment;\n```","cost":0.00006915,"response_parsed":"SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed\nFROM latePayment;","time":1.5501675606}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `paperlessdate`, `dayslate`, `daystosettle`, `invoicedate`, `customerid`, `invoiceamount`, `paperlessbill`, `invoicenumber`, `duedate` FROM `latePayment`","question":"Show all paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate in the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the required data from the `latePayment` table:\n\n```sql\nSELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate\nFROM latePayment;\n```","cost":0.00007035,"response_parsed":"SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate\nFROM latePayment;","time":2.4424619675}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `paymenttype` == 'AC'","question":"Show the data of the table accountFraud where paymenttype is equal to AC","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM accountFraud WHERE paymenttype = 'AC';\n```","cost":0.0000411,"response_parsed":"SELECT * FROM accountFraud WHERE paymenttype = 'AC';","time":0.5864593983}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AC'","question":"Show the data of the table accountFraud where paymenttype is different from AC","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM accountFraud\nWHERE paymenttype <> 'AC';\n```","cost":0.0000417,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE paymenttype <> 'AC';","time":0.7783529758}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `paymenttype` != 'AA'","question":"Show the data of the table accountFraud where paymenttype not equal to AA","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the data from the `accountFraud` table where the `paymenttype` is not equal to 'AA', you can use the following SQL code:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE paymenttype <> 'AA';\n```","cost":0.0000615,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE paymenttype <> 'AA';","time":0.9935109615}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `employmentstatus` == 'CB'","question":"Show the data of the table accountFraud where employmentstatus is equal to CB","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `accountFraud` table where `employmentstatus` is equal to 'CB':\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE employmentstatus = 'CB';\n```","cost":0.0000585,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE employmentstatus = 'CB';","time":1.341340065}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA'","question":"Show the data of the table accountFraud where employmentstatus is different from CA","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * \nFROM accountFraud \nWHERE employmentstatus <> 'CA';\n```","cost":0.0000423,"response_parsed":"SELECT * \nFROM accountFraud \nWHERE employmentstatus <> 'CA';","time":0.4646427631}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `employmentstatus` != 'CA'","question":"Show the data of the table accountFraud where employmentstatus not equal to CA","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to retrieve the data from the `accountFraud` table where the `employmentstatus` is not equal to 'CA':\n\n```sql\nSELECT * \nFROM accountFraud \nWHERE employmentstatus <> 'CA';\n```","cost":0.0000603,"response_parsed":"SELECT * \nFROM accountFraud \nWHERE employmentstatus <> 'CA';","time":1.5832006931}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `deviceos` == 'windows'","question":"Show the data of the table accountFraud where deviceos is equal to windows","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM accountFraud WHERE deviceos = 'windows';\n```","cost":0.0000411,"response_parsed":"SELECT * FROM accountFraud WHERE deviceos = 'windows';","time":0.5629999638}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `deviceos` != 'other'","question":"Show the data of the table accountFraud where deviceos is different from other","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the data from the `accountFraud` table where the `deviceos` column has values different from \"other\", you can use the following SQL query:\n\n```sql\nSELECT * \nFROM accountFraud \nWHERE deviceos <> 'other';\n```","cost":0.0000627,"response_parsed":"SELECT * \nFROM accountFraud \nWHERE deviceos <> 'other';","time":1.2436699867}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `accountFraud` WHERE `deviceos` != 'other'","question":"Show the data of the table accountFraud where deviceos not equal to other","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM accountFraud\nWHERE deviceos <> 'other';\n```","cost":0.0000417,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE deviceos <> 'other';","time":0.6138525009}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `accountFraud` WHERE `income` < 0.4","question":"Show the data of the table accountFraud where income is less than 0.4","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `accountFraud` table where the income is less than 0.4:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE income < 0.4;\n```","cost":0.0000594,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE income < 0.4;","time":1.2378635406}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` > 3.749706225590873","question":"Show the data of the table accountFraud where sessionlengthminutes is greater than 3.749706225590873","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM accountFraud \nWHERE sessionlengthminutes > 3.749706225590873;\n```","cost":0.0000471,"response_parsed":"SELECT * FROM accountFraud \nWHERE sessionlengthminutes > 3.749706225590873;","time":1.0954856873}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `accountFraud` WHERE `sessionlengthminutes` < 4.886676763177824","question":"Show the data of the table accountFraud where sessionlengthminutes is less than 4.886676763177824","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `accountFraud` table where `sessionlengthminutes` is less than 4.886676763177824:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE sessionlengthminutes < 4.886676763177824;\n```","cost":0.0000681,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE sessionlengthminutes < 4.886676763177824;","time":4.922396183}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `accountFraud` WHERE `creditriskscore` > 108","question":"Show the data of the table accountFraud where creditriskscore is greater than 108","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM accountFraud WHERE creditriskscore > 108;\n```","cost":0.00004275,"response_parsed":"SELECT * FROM accountFraud WHERE creditriskscore > 108;","time":0.6145715714}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `accountFraud` WHERE `creditriskscore` < 108","question":"Show the data of the table accountFraud where creditriskscore is less than 108","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM accountFraud\nWHERE creditriskscore < 108;\n```","cost":0.00004335,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE creditriskscore < 108;","time":0.6261489391}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `disputed` == 'No'","question":"Show the data of the table latePayment where disputed is equal to No","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `latePayment` table where `disputed` is equal to 'No':\n\n```sql\nSELECT * FROM latePayment WHERE disputed = 'No';\n```","cost":0.0000558,"response_parsed":"SELECT * FROM latePayment WHERE disputed = 'No';","time":0.6613731384}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `disputed` != 'Yes'","question":"Show the data of the table latePayment where disputed is different from Yes","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM latePayment WHERE disputed != 'Yes';\n```","cost":0.0000396,"response_parsed":"SELECT * FROM latePayment WHERE disputed != 'Yes';","time":1.2638626099}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `disputed` != 'Yes'","question":"Show the data of the table latePayment where disputed not equal to Yes","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the data from the `latePayment` table where the `disputed` column is not equal to 'Yes', you can use the following SQL code:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed <> 'Yes';\n```","cost":0.00006,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed <> 'Yes';","time":1.2804939747}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `paperlessdate` == '2\/6\/2012'","question":"Show the data of the table latePayment where paperlessdate is equal to 2\/6\/2012","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `latePayment` table where `paperlessdate` is equal to '2\/6\/2012':\n\n```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate = '2\/6\/2012';\n```","cost":0.0000654,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate = '2\/6\/2012';","time":2.4990208149}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `paperlessdate` != '2\/6\/2012'","question":"Show the data of the table latePayment where paperlessdate is different from 2\/6\/2012","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate <> '2\/6\/2012';\n```","cost":0.0000456,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate <> '2\/6\/2012';","time":0.8294670582}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `paperlessdate` != '1\/26\/2012'","question":"Show the data of the table latePayment where paperlessdate not equal to 1\/26\/2012","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate != '1\/26\/2012';\n```","cost":0.0000456,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate != '1\/26\/2012';","time":0.9400815964}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `invoicedate` == '4\/11\/2012'","question":"Show the data of the table latePayment where invoicedate is equal to 4\/11\/2012","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the data from the `latePayment` table where the `invoicedate` is equal to '4\/11\/2012', you can use the following SQL code:\n\n```sql\nSELECT * \nFROM latePayment \nWHERE invoicedate = '4\/11\/2012';\n```","cost":0.000069,"response_parsed":"SELECT * \nFROM latePayment \nWHERE invoicedate = '4\/11\/2012';","time":1.5974011421}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `invoicedate` != '4\/11\/2012'","question":"Show the data of the table latePayment where invoicedate is different from 4\/11\/2012","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM latePayment WHERE invoicedate <> '4\/11\/2012';\n```","cost":0.000045,"response_parsed":"SELECT * FROM latePayment WHERE invoicedate <> '4\/11\/2012';","time":1.3084445}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `latePayment` WHERE `invoicedate` != '6\/18\/2013'","question":"Show the data of the table latePayment where invoicedate not equal to 6\/18\/2013","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `latePayment` table where the `invoicedate` is not equal to '6\/18\/2013':\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoicedate <> '6\/18\/2013';\n```","cost":0.0000672,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicedate <> '6\/18\/2013';","time":1.2748098373}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `latePayment` WHERE `dayslate` > 0","question":"Show the data of the table latePayment where dayslate is greater than 0","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch data from the `latePayment` table where `dayslate` is greater than 0:\n\n```sql\nSELECT * FROM latePayment WHERE dayslate > 0;\n```","cost":0.0000561,"response_parsed":"SELECT * FROM latePayment WHERE dayslate > 0;","time":1.1662640572}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `latePayment` WHERE `dayslate` < 6","question":"Show the data of the table latePayment where dayslate is less than 6","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `latePayment` table where `dayslate` is less than 6:\n\n```sql\nSELECT * FROM latePayment WHERE dayslate < 6;\n```","cost":0.0000567,"response_parsed":"SELECT * FROM latePayment WHERE dayslate < 6;","time":1.0296547413}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `latePayment` WHERE `invoiceamount` > 84.86","question":"Show the data of the table latePayment where invoiceamount is greater than 84.86","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT * FROM latePayment WHERE invoiceamount > 84.86;\n```","cost":0.000042,"response_parsed":"SELECT * FROM latePayment WHERE invoiceamount > 84.86;","time":0.5017726421}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `latePayment` WHERE `invoiceamount` < 37.49","question":"Show the data of the table latePayment where invoiceamount is less than 37.49","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the table `latePayment` where `invoiceamount` is less than 37.49:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoiceamount < 37.49;\n```","cost":0.00006,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoiceamount < 37.49;","time":0.8955349922}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `latePayment` WHERE `invoicenumber` > 9465847338","question":"Show the data of the table latePayment where invoicenumber is greater than 9465847338","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `latePayment` table where the `invoicenumber` is greater than 9465847338:\n\n```sql\nSELECT * FROM latePayment WHERE invoicenumber > 9465847338;\n```","cost":0.0000633,"response_parsed":"SELECT * FROM latePayment WHERE invoicenumber > 9465847338;","time":0.8021099567}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `latePayment` WHERE `invoicenumber` < 6528247418","question":"Show the data of the table latePayment where invoicenumber is less than 6528247418","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"```sql\nSELECT *\nFROM latePayment\nWHERE invoicenumber < 6528247418;\n```","cost":0.0000441,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicenumber < 6528247418;","time":0.6865143776}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `employmentstatus`) FROM `accountFraud`","question":"How many different employmentstatus are in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find out how many different employment statuses are present in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT employmentstatus) AS unique_employment_status_count\nFROM accountFraud;\n```","cost":0.00006075,"response_parsed":"SELECT COUNT(DISTINCT employmentstatus) AS unique_employment_status_count\nFROM accountFraud;","time":1.0426256657}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `housingstatus`) FROM `accountFraud`","question":"How many different housingstatus are in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of distinct `housingstatus` values in the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT housingstatus) AS different_housing_status_count\nFROM accountFraud;\n``` \n\nThis query selects the count of unique `housingstatus` entries from the `accountFraud` table.","cost":0.00007455,"response_parsed":"SELECT COUNT(DISTINCT housingstatus) AS different_housing_status_count\nFROM accountFraud;","time":1.917206049}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `deviceos`) FROM `accountFraud`","question":"How many different deviceos are in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the number of different device operating systems (deviceos) in the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT deviceos) AS distinct_deviceos_count\nFROM accountFraud;\n```","cost":0.00006195,"response_parsed":"SELECT COUNT(DISTINCT deviceos) AS distinct_deviceos_count\nFROM accountFraud;","time":0.8259351254}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `hasothercards`) FROM `accountFraud`","question":"How many different hasothercards are in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of different `hasothercards` entries in the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT hasothercards) AS different_hasothercards_count\nFROM accountFraud;\n```","cost":0.0000627,"response_parsed":"SELECT COUNT(DISTINCT hasothercards) AS different_hasothercards_count\nFROM accountFraud;","time":1.8933725357}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `emailisfree`) FROM `accountFraud`","question":"How many different emailisfree are in table accountFraud?","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of different `emailisfree` values in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT emailisfree) AS different_emailisfree_count\nFROM accountFraud;\n```","cost":0.0000627,"response_parsed":"SELECT COUNT(DISTINCT emailisfree) AS different_emailisfree_count\nFROM accountFraud;","time":1.3221535683}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`creditriskscore`) FROM `accountFraud`","question":"Find the maximum creditriskscore for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the maximum `creditriskscore` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT MAX(creditriskscore) AS max_creditriskscore\nFROM accountFraud;\n```","cost":0.00006105,"response_parsed":"SELECT MAX(creditriskscore) AS max_creditriskscore\nFROM accountFraud;","time":1.1384971142}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`creditriskscore`) FROM `accountFraud`","question":"Find the minimum creditriskscore for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the minimum `creditriskscore` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT MIN(creditriskscore) AS minimum_credit_risk_score\nFROM accountFraud;\n```","cost":0.00006105,"response_parsed":"SELECT MIN(creditriskscore) AS minimum_credit_risk_score\nFROM accountFraud;","time":1.8212325573}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`creditriskscore`) FROM `accountFraud`","question":"Find the average creditriskscore for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the average `creditriskscore` from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT AVG(creditriskscore) AS average_creditriskscore\nFROM accountFraud;\n```","cost":0.00006105,"response_parsed":"SELECT AVG(creditriskscore) AS average_creditriskscore\nFROM accountFraud;","time":1.3795042038}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`income`) FROM `accountFraud`","question":"Find the maximum income for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the maximum income from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT MAX(income) AS maximum_income\nFROM accountFraud;\n```","cost":0.000054,"response_parsed":"SELECT MAX(income) AS maximum_income\nFROM accountFraud;","time":0.7648851871}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`income`) FROM `accountFraud`","question":"Find the minimum income for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the minimum income from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT MIN(income) AS minimum_income\nFROM accountFraud;\n```","cost":0.000054,"response_parsed":"SELECT MIN(income) AS minimum_income\nFROM accountFraud;","time":1.6527409554}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"accountFraud","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`income`) FROM `accountFraud`","question":"Find the average income for the table accountFraud","db_schema_normalized":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the average income from the `accountFraud` table, you can use the following SQL code:\n\n```sql\nSELECT AVG(income) AS average_income\nFROM accountFraud;\n```","cost":0.000054,"response_parsed":"SELECT AVG(income) AS average_income\nFROM accountFraud;","time":1.0914921761}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `invoicedate`) FROM `latePayment`","question":"How many different invoicedate are in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"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\u2019s the SQL code to retrieve that information:\n\n```sql\nSELECT COUNT(DISTINCT invoicedate) AS different_invoicedates\nFROM latePayment;\n```","cost":0.00007455,"response_parsed":"SELECT COUNT(DISTINCT invoicedate) AS different_invoicedates\nFROM latePayment;","time":1.1119773388}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `disputed`) FROM `latePayment`","question":"How many different disputed are in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To count the number of different disputes in the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT disputed) AS different_disputes\nFROM latePayment;\n```","cost":0.00005625,"response_parsed":"SELECT COUNT(DISTINCT disputed) AS different_disputes\nFROM latePayment;","time":1.1107637882}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `customerid`) FROM `latePayment`","question":"How many different customerid are in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To obtain the number of different `customerid` values in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT customerid) AS unique_customer_count\nFROM latePayment;\n```","cost":0.0000588,"response_parsed":"SELECT COUNT(DISTINCT customerid) AS unique_customer_count\nFROM latePayment;","time":1.3001074791}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `paperlessdate`) FROM `latePayment`","question":"How many different paperlessdate are in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To retrieve the count of different `paperlessdate` entries in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT paperlessdate) AS unique_paperless_dates\nFROM latePayment;\n```","cost":0.00006135,"response_parsed":"SELECT COUNT(DISTINCT paperlessdate) AS unique_paperless_dates\nFROM latePayment;","time":1.2268064022}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `duedate`) FROM `latePayment`","question":"How many different duedate are in table latePayment?","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To obtain the count of distinct due dates from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT duedate) AS different_duedates\nFROM latePayment;\n```","cost":0.00005835,"response_parsed":"SELECT COUNT(DISTINCT duedate) AS different_duedates\nFROM latePayment;","time":1.9854140282}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`daystosettle`) FROM `latePayment`","question":"Find the maximum daystosettle for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the maximum value of the `daystosettle` column from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT MAX(daystosettle) AS maximum_daystosettle\nFROM latePayment;\n```","cost":0.00005955,"response_parsed":"SELECT MAX(daystosettle) AS maximum_daystosettle\nFROM latePayment;","time":1.350058794}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`daystosettle`) FROM `latePayment`","question":"Find the minimum daystosettle for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the minimum `daystosettle` from the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT MIN(daystosettle) AS min_daystosettle\nFROM latePayment;\n```","cost":0.00005715,"response_parsed":"SELECT MIN(daystosettle) AS min_daystosettle\nFROM latePayment;","time":0.9711298943}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`daystosettle`) FROM `latePayment`","question":"Find the average daystosettle for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the average `daystosettle` from the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT AVG(daystosettle) AS average_daystosettle\nFROM latePayment;\n```","cost":0.00005715,"response_parsed":"SELECT AVG(daystosettle) AS average_daystosettle\nFROM latePayment;","time":1.1890530586}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`dayslate`) FROM `latePayment`","question":"Find the maximum dayslate for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To find the maximum `dayslate` in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT MAX(dayslate) AS max_days_late\nFROM latePayment;\n```","cost":0.0000558,"response_parsed":"SELECT MAX(dayslate) AS max_days_late\nFROM latePayment;","time":0.7843203545}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`dayslate`) FROM `latePayment`","question":"Find the minimum dayslate for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To fetch the minimum `dayslate` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT MIN(dayslate) AS minimum_dayslate\nFROM latePayment;\n``` \n\nThis query selects the minimum value of the `dayslate` column from the `latePayment` table and returns it with an alias of `minimum_dayslate`.","cost":0.000075,"response_parsed":"SELECT MIN(dayslate) AS minimum_dayslate\nFROM latePayment;","time":1.9209251404}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/finance\/finance.sqlite","db_id":"finance","tbl_name":"latePayment","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`dayslate`) FROM `latePayment`","question":"Find the average dayslate for the table latePayment","db_schema_normalized":"`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","db_schema":"`\"accountFraud\"` (\"hasothercards\" TEXT, \"housingstatus\" TEXT, \"dateofbirthdistinctemails4w\" INTEGER, \"income\" REAL, \"paymenttype\" TEXT, \"employmentstatus\" TEXT, \"creditriskscore\" INTEGER, \"sessionlengthminutes\" REAL, \"deviceos\" TEXT, \"emailisfree\" TEXT)\n`\"latePayment\"` (\"customerid\" TEXT, \"paperlessdate\" TEXT, \"invoicenumber\" INTEGER, \"invoicedate\" TEXT, \"duedate\" TEXT, \"invoiceamount\" REAL, \"disputed\" TEXT, \"paperlessbill\" TEXT, \"daystosettle\" INTEGER, \"dayslate\" INTEGER)","pred_dict":{"response":"To calculate the average `dayslate` from the `latePayment` table, you can use the following SQL code:\n\n```sql\nSELECT AVG(dayslate) AS average_dayslate\nFROM latePayment;\n```","cost":0.0000552,"response_parsed":"SELECT AVG(dayslate) AS average_dayslate\nFROM latePayment;","time":1.2678711414}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `menopausalstatus` FROM `breastCancer`","question":"Show the different menopausalstatus in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To display the different menopausal statuses in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT menopausalstatus\nFROM breastCancer;\n``` \n\nThis SQL code will retrieve all unique values from the `menopausalstatus` column in the `breastCancer` table.","cost":0.00007125,"response_parsed":"SELECT DISTINCT menopausalstatus\nFROM breastCancer;","time":2.703286171}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `hormonaltherapy` FROM `breastCancer`","question":"Show the different hormonaltherapy in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the different hormonal therapies from the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT hormonaltherapy\nFROM breastCancer;\n```","cost":0.0000537,"response_parsed":"SELECT DISTINCT hormonaltherapy\nFROM breastCancer;","time":0.7298192978}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `status` FROM `breastCancer`","question":"Show the different status in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the different statuses from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT status FROM breastCancer;\n```","cost":0.00005175,"response_parsed":"SELECT DISTINCT status FROM breastCancer;","time":0.5649921894}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `sex` FROM `heartAttack`","question":"Show the different sex in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the different sex values from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT sex FROM heartAttack;\n```","cost":0.00005175,"response_parsed":"SELECT DISTINCT sex FROM heartAttack;","time":1.0442767143}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `chestpaintype` FROM `heartAttack`","question":"Show the different chestpaintype in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the different `chestpaintype` values from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT chestpaintype\nFROM heartAttack;\n```","cost":0.00005685,"response_parsed":"SELECT DISTINCT chestpaintype\nFROM heartAttack;","time":0.7947494984}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `fastingbloodsugar` FROM `heartAttack`","question":"Show the different fastingbloodsugar in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the different values of `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT fastingbloodsugar\nFROM heartAttack;\n```","cost":0.0000588,"response_parsed":"SELECT DISTINCT fastingbloodsugar\nFROM heartAttack;","time":0.7882819176}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `restingelectrocardiographicrresults` FROM `heartAttack`","question":"Show the different restingelectrocardiographicrresults in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the different values of `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT restingelectrocardiographicrresults\nFROM heartAttack;\n```","cost":0.00006495,"response_parsed":"SELECT DISTINCT restingelectrocardiographicrresults\nFROM heartAttack;","time":1.172753334}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `output` FROM `heartAttack`","question":"Show the different output in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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.\n\n```sql\nSELECT DISTINCT output FROM heartAttack;\n``` \n\nThis SQL statement retrieves all unique values in the `output` column from the `heartAttack` table, providing you with the different outputs present in that table.","cost":0.00008295,"response_parsed":"SELECT DISTINCT output FROM heartAttack;","time":2.7587912083}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `menopausalstatus`, COUNT(*) FROM `breastCancer` GROUP BY `menopausalstatus`","question":"For each menopausalstatus, count the number of rows in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT menopausalstatus, COUNT(*) AS number_of_rows\nFROM breastCancer\nGROUP BY menopausalstatus;\n```","cost":0.00004845,"response_parsed":"SELECT menopausalstatus, COUNT(*) AS number_of_rows\nFROM breastCancer\nGROUP BY menopausalstatus;","time":0.9668722153}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `hormonaltherapy`, COUNT(*) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, count the number of rows in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy, COUNT(*) AS count\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```","cost":0.0000759,"response_parsed":"SELECT hormonaltherapy, COUNT(*) AS count\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":1.4400310516}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `status`, COUNT(*) FROM `breastCancer` GROUP BY `status`","question":"For each status, count the number of rows in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To count the number of rows in the `breastCancer` table grouped by each status, you can use the following SQL query:\n\n```sql\nSELECT status, COUNT(*) AS count\nFROM breastCancer\nGROUP BY status;\n```","cost":0.00006075,"response_parsed":"SELECT status, COUNT(*) AS count\nFROM breastCancer\nGROUP BY status;","time":1.0512268543}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `hormonaltherapy`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the min of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the minimum value of the `progesteronereceptor` for each `hormonaltherapy` from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```","cost":0.00007635,"response_parsed":"SELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":1.1771814823}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `hormonaltherapy`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the max of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the maximum value of `progesteronereceptor` for each type of `hormonaltherapy` from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;\n``` \n\nThis query groups the results by `hormonaltherapy` and calculates the maximum `progesteronereceptor` value for each group.","cost":0.00009435,"response_parsed":"SELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":1.9510960579}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `hormonaltherapy`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the avg of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the average of the `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;\n``` \n\nThis query selects the `hormonaltherapy` and calculates the average of `progesteronereceptor`, grouping the results by `hormonaltherapy`.","cost":0.00009555,"response_parsed":"SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":1.7165615559}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `hormonaltherapy`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the sum of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the sum of `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, SUM(progesteronereceptor) AS total_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```","cost":0.00007515,"response_parsed":"SELECT hormonaltherapy, SUM(progesteronereceptor) AS total_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":1.2918076515}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `hormonaltherapy`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the min of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the minimum number of positively lymph nodes for each hormonal therapy from the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT hormonaltherapy, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;\n``` \n\nThis 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.","cost":0.0000909,"response_parsed":"SELECT hormonaltherapy, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":1.5946354866}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `hormonaltherapy`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the max of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the maximum number of positively lymph nodes for each hormonal therapy from the `breastCancer` table:\n\n```sql\nSELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```","cost":0.0000687,"response_parsed":"SELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":0.8887405396}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `hormonaltherapy`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the avg of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the average number of positively lymph nodes for each hormonal therapy in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_number_positivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```","cost":0.0000711,"response_parsed":"SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_number_positivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":1.4763293266}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `hormonaltherapy`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `hormonaltherapy`","question":"For each hormonaltherapy, find the sum of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here's the SQL code to find the sum of `numberpositivelymphnodes` for each `hormonaltherapy` in the `breastCancer` table:\n\n```sql\nSELECT hormonaltherapy, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```","cost":0.0000723,"response_parsed":"SELECT hormonaltherapy, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":3.1535248756}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `status`, MIN(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the min of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the minimum value of the `progesteronereceptor` for each status in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT status, MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer\nGROUP BY status;\n```","cost":0.000072,"response_parsed":"SELECT status, MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer\nGROUP BY status;","time":1.4062514305}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `status`, MAX(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the max of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the maximum value of `progesteronereceptor` from the `breastCancer` table grouped by the `status` column, you can use the following SQL query:\n\n```sql\nSELECT status, MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM breastCancer\nGROUP BY status;\n```","cost":0.0000738,"response_parsed":"SELECT status, MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM breastCancer\nGROUP BY status;","time":1.6593332291}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `status`, AVG(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the avg of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT status, AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM breastCancer\nGROUP BY status;\n```","cost":0.0000516,"response_parsed":"SELECT status, AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM breastCancer\nGROUP BY status;","time":0.8838732243}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `status`, SUM(`progesteronereceptor`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the sum of progesteronereceptor in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the sum of the `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT status, SUM(progesteronereceptor) AS total_progesteronereceptor\nFROM breastCancer\nGROUP BY status;\n``` \n\nThis query selects the `status` along with the total sum of `progesteronereceptor` for each unique status in the `breastCancer` table, grouping the results by `status`.","cost":0.0000972,"response_parsed":"SELECT status, SUM(progesteronereceptor) AS total_progesteronereceptor\nFROM breastCancer\nGROUP BY status;","time":2.8886885643}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `status`, MIN(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the min of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the minimum number of positively lymph nodes for each status in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT status, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY status;\n```","cost":0.00006855,"response_parsed":"SELECT status, MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY status;","time":2.0996088982}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `status`, MAX(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the max of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT status, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY status;\n```","cost":0.00005115,"response_parsed":"SELECT status, MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY status;","time":0.6128275394}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `status`, AVG(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the avg of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the average number of positively lymph nodes for each status from the `breastCancer` table, you would use the following SQL query:\n\n```sql\nSELECT status, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY status;\n```","cost":0.00006855,"response_parsed":"SELECT status, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY status;","time":2.8072199821}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `status`, SUM(`numberpositivelymphnodes`) FROM `breastCancer` GROUP BY `status`","question":"For each status, find the sum of numberpositivelymphnodes in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT status, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes\nFROM breastCancer\nGROUP BY status;\n```","cost":0.00005115,"response_parsed":"SELECT status, SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes\nFROM breastCancer\nGROUP BY status;","time":1.6577670574}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `sex`, COUNT(*) FROM `heartAttack` GROUP BY `sex`","question":"For each sex, count the number of rows in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To count the number of rows in the `heartAttack` table grouped by sex, you can use the following SQL code:\n\n```sql\nSELECT sex, COUNT(*) AS count\nFROM heartAttack\nGROUP BY sex;\n``` \n\nThis query will return the count of rows for each unique value in the `sex` column of the `heartAttack` table.","cost":0.00007575,"response_parsed":"SELECT sex, COUNT(*) AS count\nFROM heartAttack\nGROUP BY sex;","time":2.2464547157}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `chestpaintype`, COUNT(*) FROM `heartAttack` GROUP BY `chestpaintype`","question":"For each chestpaintype, count the number of rows in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To count the number of rows in the `heartAttack` table for each `chestpaintype`, you can use the following SQL code:\n\n```sql\nSELECT chestpaintype, COUNT(*) AS count\nFROM heartAttack\nGROUP BY chestpaintype;\n```","cost":0.00006465,"response_parsed":"SELECT chestpaintype, COUNT(*) AS count\nFROM heartAttack\nGROUP BY chestpaintype;","time":1.5426023006}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `fastingbloodsugar`, COUNT(*) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, count the number of rows in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To count the number of rows in the `heartAttack` table for each unique value of `fastingbloodsugar`, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, COUNT(*) AS count\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n``` \n\nThis SQL code selects the `fastingbloodsugar` column and counts the number of occurrences of each unique value, grouping the results by the `fastingbloodsugar` field.","cost":0.0000918,"response_parsed":"SELECT fastingbloodsugar, COUNT(*) AS count\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":3.8259484768}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `restingelectrocardiographicrresults`, COUNT(*) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, count the number of rows in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To count the number of rows in the `heartAttack` table for each unique value of `restingelectrocardiographicrresults`, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, COUNT(*) AS count\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n``` \n\nThis SQL code selects the `restingelectrocardiographicrresults` column and counts the number of occurrences for each unique value, grouping the results accordingly.","cost":0.00009795,"response_parsed":"SELECT restingelectrocardiographicrresults, COUNT(*) AS count\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":6.0259017944}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `output`, COUNT(*) FROM `heartAttack` GROUP BY `output`","question":"For each output, count the number of rows in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To count the number of rows in the table `heartAttack`, you can use the following SQL query:\n\n```sql\nSELECT COUNT(*) AS total_rows FROM heartAttack;\n``` \n\nThis SQL code will return a single row containing the count of all rows in the `heartAttack` table under the alias `total_rows`.","cost":0.00007095,"response_parsed":"SELECT COUNT(*) AS total_rows FROM heartAttack;","time":1.2595031261}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `restingelectrocardiographicrresults`, MIN(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the min of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the minimum age for each distinct `restingelectrocardiographicrresults` value from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, MIN(age) AS min_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n```","cost":0.00007815,"response_parsed":"SELECT restingelectrocardiographicrresults, MIN(age) AS min_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":1.5247859955}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `restingelectrocardiographicrresults`, MAX(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the max of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the maximum age for each `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, MAX(age) AS max_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n``` \n\nThis SQL code groups the results by the `restingelectrocardiographicrresults` field and calculates the maximum age for each group.","cost":0.00009495,"response_parsed":"SELECT restingelectrocardiographicrresults, MAX(age) AS max_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":1.9840352535}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `restingelectrocardiographicrresults`, AVG(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the avg of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the average age for each unique `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, AVG(age) AS avg_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n``` \n\nThis query will group the records by `restingelectrocardiographicrresults` and calculate the average age for each group.","cost":0.00009435,"response_parsed":"SELECT restingelectrocardiographicrresults, AVG(age) AS avg_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":1.8355126381}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `restingelectrocardiographicrresults`, SUM(`age`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the sum of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To answer the question about finding the sum of age for each `restingelectrocardiographicrresults` in the `heartAttack` table, the SQL query would look like this:\n\n```sql\nSELECT restingelectrocardiographicrresults, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n``` \n\nThis SQL code selects the `restingelectrocardiographicrresults` and calculates the sum of the `age` column, grouping the results by the `restingelectrocardiographicrresults` values.","cost":0.00010755,"response_parsed":"SELECT restingelectrocardiographicrresults, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":2.2672719955}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `restingelectrocardiographicrresults`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the min of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_number_of_major_vessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n```","cost":0.0000831,"response_parsed":"SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_number_of_major_vessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":3.2510480881}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `restingelectrocardiographicrresults`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the max of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) AS max_number_of_major_vessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n```","cost":0.0000987,"response_parsed":"SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) AS max_number_of_major_vessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":2.623942852}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `restingelectrocardiographicrresults`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the avg of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the average number of major vessels for each resting electrocardiographic result in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n``` \n\nThis SQL code groups the records by the `restingelectrocardiographicrresults` field and calculates the average of `numberofmajorvvessels` for each group.","cost":0.0001053,"response_parsed":"SELECT restingelectrocardiographicrresults, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":2.3276650906}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `restingelectrocardiographicrresults`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults`","question":"For each restingelectrocardiographicrresults, find the sum of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the sum of `numberofmajorvvessels` for each unique `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, \n       SUM(numberofmajorvvessels) AS total_major_vessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n``` \n\nThis query groups the results by `restingelectrocardiographicrresults` and calculates the sum of `numberofmajorvvessels` for each group.","cost":0.0001101,"response_parsed":"SELECT restingelectrocardiographicrresults, \n       SUM(numberofmajorvvessels) AS total_major_vessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":2.6261553764}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `fastingbloodsugar`, MIN(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the min of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the minimum age for each `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, MIN(age) AS min_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n```","cost":0.0000678,"response_parsed":"SELECT fastingbloodsugar, MIN(age) AS min_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":2.018474102}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `fastingbloodsugar`, MAX(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the max of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To answer the question of finding the maximum age grouped by `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, MAX(age) AS max_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n``` \n\nThis SQL code selects the `fastingbloodsugar` and the maximum age (`max_age`) for each group of `fastingbloodsugar` values from the `heartAttack` table.","cost":0.0000948,"response_parsed":"SELECT fastingbloodsugar, MAX(age) AS max_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":1.963593483}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `fastingbloodsugar`, AVG(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the avg of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the average age for each unique value of fastingbloodsugar from the heartAttack table:\n\n```sql\nSELECT fastingbloodsugar, AVG(age) AS average_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n```","cost":0.0000648,"response_parsed":"SELECT fastingbloodsugar, AVG(age) AS average_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":1.2396168709}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `fastingbloodsugar`, SUM(`age`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the sum of age in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n```","cost":0.0000792,"response_parsed":"SELECT fastingbloodsugar, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":1.5464203358}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `fastingbloodsugar`, MIN(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the min of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar, MIN(numberofmajorvvessels) AS min_number_of_major_vessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n``` \n\nThis query selects the `fastingbloodsugar` and the minimum value of `numberofmajorvvessels`, grouping the results by each unique `fastingbloodsugar`.","cost":0.00009735,"response_parsed":"SELECT fastingbloodsugar, MIN(numberofmajorvvessels) AS min_number_of_major_vessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":2.2492408752}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `fastingbloodsugar`, MAX(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the max of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the maximum value of `numberofmajorvvessels` for each distinct `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, MAX(numberofmajorvvessels) AS max_numberofmajorvvessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n``` \n\nThis code groups the records by the `fastingbloodsugar` field and computes the maximum number of major vessels for each group.","cost":0.00009735,"response_parsed":"SELECT fastingbloodsugar, MAX(numberofmajorvvessels) AS max_numberofmajorvvessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":1.5174000263}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `fastingbloodsugar`, AVG(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the avg of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the average of `numberofmajorvvessels` for each `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n``` \n\nThis query selects the `fastingbloodsugar` column and calculates the average of `numberofmajorvvessels`, grouping the results by each unique `fastingbloodsugar` value.","cost":0.00010395,"response_parsed":"SELECT fastingbloodsugar, AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":2.0460944176}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `fastingbloodsugar`, SUM(`numberofmajorvvessels`) FROM `heartAttack` GROUP BY `fastingbloodsugar`","question":"For each fastingbloodsugar, find the sum of numberofmajorvvessels in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_major_vessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n```","cost":0.00008775,"response_parsed":"SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_major_vessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":1.4978675842}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) >= 12","question":"Find all the menopausalstatus that have at least 12 records in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to find all the `menopausalstatus` entries in the `breastCancer` table that have at least 12 records:\n\n```sql\nSELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) >= 12;\n```","cost":0.00006855,"response_parsed":"SELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) >= 12;","time":1.4707102776}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING count(*) <= 12","question":"Find all the menopausalstatus that have at most 12 records in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the `menopausalstatus` values that have at most 12 records in the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) <= 12;\n``` \n\nThis 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.","cost":0.00009795,"response_parsed":"SELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) <= 12;","time":2.038397789}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) >= 12","question":"Find all the hormonaltherapy that have at least 12 records in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch all the hormonal therapies that have at least 12 records in the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(*) >= 12;\n``` \n\nThis SQL query groups the records by `hormonaltherapy`, counts the occurrences for each therapy, and filters those that have a count of at least 12.","cost":0.0000864,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(*) >= 12;","time":1.5599708557}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING count(*) <= 12","question":"Find all the hormonaltherapy that have at most 12 records in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the hormonal therapies that have at most 12 records in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(*) <= 12;\n``` \n\nThis 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.","cost":0.0000942,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(*) <= 12;","time":1.9592232704}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) >= 12","question":"Find all the status that have at least 12 records in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the statuses that have at least 12 records in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING COUNT(*) >= 12;\n``` \n\nThis 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.","cost":0.00008925,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING COUNT(*) >= 12;","time":1.4125695229}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING count(*) <= 12","question":"Find all the status that have at most 12 records in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to find all the statuses that have at most 12 records in the `breastCancer` table:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING COUNT(*) <= 12;\n```","cost":0.00006225,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING COUNT(*) <= 12;","time":0.9252328873}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) >= 30.14","question":"List the hormonaltherapy which average of tumorsize is at least 30.14 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(tumorsize) >= 30.14;\n```","cost":0.0000732,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(tumorsize) >= 30.14;","time":1.8215353489}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`tumorsize`) <= 30.14","question":"List the hormonaltherapy which average of tumorsize is at most 30.14 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(tumorsize) <= 30.14;\n```","cost":0.0000714,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(tumorsize) <= 30.14;","time":1.9157767296}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) >= 389.5","question":"List the hormonaltherapy which summation of tumorsize is at least 389.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(tumorsize) >= 389.5;\n``` \n\nThis 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.","cost":0.00010635,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(tumorsize) >= 389.5;","time":1.6979365349}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`tumorsize`) <= 389.5","question":"List the hormonaltherapy which summation of tumorsize is at most 389.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(tumorsize) <= 389.5;\n```","cost":0.00007395,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(tumorsize) <= 389.5;","time":1.2699086666}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) >= 53.95","question":"List the hormonaltherapy which average of age is at least 53.95 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) >= 53.95;\n``` \n\nThis 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.","cost":0.00009765,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) >= 53.95;","time":1.7032699585}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING AVG(`age`) <= 53.95","question":"List the hormonaltherapy which average of age is at most 53.95 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) <= 53.95;\n```","cost":0.00007185,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) <= 53.95;","time":1.2678520679}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) >= 640.5","question":"List the hormonaltherapy which summation of age is at least 640.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(age) >= 640.5;\n``` \n\nThis 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.","cost":0.0001008,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(age) >= 640.5;","time":1.6496551037}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING SUM(`age`) <= 640.5","question":"List the hormonaltherapy which summation of age is at most 640.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(age) <= 640.5;\n``` \n\nThis 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.","cost":0.0000996,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(age) <= 640.5;","time":1.52602911}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) >= 34.41","question":"List the status which average of tumorsize is at least 34.41 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(tumorsize) >= 34.41;\n```","cost":0.00007065,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(tumorsize) >= 34.41;","time":2.3693802357}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`tumorsize`) <= 34.41","question":"List the status which average of tumorsize is at most 34.41 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(tumorsize) <= 34.41;\n```","cost":0.00008805,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(tumorsize) <= 34.41;","time":2.0014731884}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) >= 389.5","question":"List the status which summation of tumorsize is at least 389.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(tumorsize) >= 389.5;\n```","cost":0.0000738,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(tumorsize) >= 389.5;","time":1.1694743633}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`tumorsize`) <= 389.5","question":"List the status which summation of tumorsize is at most 389.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(tumorsize) <= 389.5;\n```","cost":0.000072,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(tumorsize) <= 389.5;","time":1.45764184}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) >= 53.44","question":"List the status which average of age is at least 53.44 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) >= 53.44;\n```","cost":0.0000819,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) >= 53.44;","time":1.1553103924}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING AVG(`age`) <= 53.44","question":"List the status which average of age is at most 53.44 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To list the statuses from the `breastCancer` table where the average age is at most 53.44, you can use the following SQL query:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) <= 53.44;\n```","cost":0.0000681,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) <= 53.44;","time":0.9678826332}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) >= 640.5","question":"List the status which summation of age is at least 640.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(age) >= 640.5;\n```","cost":0.00006945,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(age) >= 640.5;","time":1.4525818825}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `status` FROM `breastCancer` GROUP BY `status` HAVING SUM(`age`) <= 640.5","question":"List the status which summation of age is at most 640.5 in table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to list the statuses for which the summation of age is at most 640.5 in the `breastCancer` table:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(age) <= 640.5;\n```","cost":0.00006825,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING SUM(age) <= 640.5;","time":0.942029953}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) >= 10","question":"Find all the output that have at least 10 records in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the outputs that have at least 10 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(*) >= 10;\n``` \n\nThis 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.","cost":0.00008265,"response_parsed":"SELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(*) >= 10;","time":1.0868370533}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `output` FROM `heartAttack` GROUP BY `output` HAVING count(*) <= 10","question":"Find all the output that have at most 10 records in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the `output` values that have at most 10 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(*) <= 10;\n``` \n\nThis SQL code groups the `output` values and filters those groups to include only those that have 10 or fewer records.","cost":0.00008085,"response_parsed":"SELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(*) <= 10;","time":1.33330369}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) >= 5","question":"Find all the chestpaintype that have at least 5 records in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all `chestpaintype` values that have at least 5 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) >= 5;\n``` \n\nThis 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.","cost":0.00009075,"response_parsed":"SELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) >= 5;","time":2.8577215672}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING count(*) <= 5","question":"Find all the chestpaintype that have at most 5 records in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the `chestpaintype` that have at most 5 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) <= 5;\n``` \n\nThis query selects the `chestpaintype`, groups the results by `chestpaintype`, and filters the groups to include only those with 5 or fewer records.","cost":0.00009075,"response_parsed":"SELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) <= 5;","time":1.291757822}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) >= 6","question":"Find all the restingelectrocardiographicrresults that have at least 6 records in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the `restingelectrocardiographicrresults` that have at least 6 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults\nHAVING COUNT(*) >= 6;\n``` \n\nThis 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.","cost":0.00010785,"response_parsed":"SELECT restingelectrocardiographicrresults\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults\nHAVING COUNT(*) >= 6;","time":2.6533005238}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING count(*) <= 6","question":"Find all the restingelectrocardiographicrresults that have at most 6 records in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find all the distinct `restingelectrocardiographicrresults` that have at most 6 records in the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT restingelectrocardiographicrresults\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults\nHAVING COUNT(*) <= 6;\n``` \n\nThis query selects the `restingelectrocardiographicrresults`, groups the results by the `restingelectrocardiographicrresults` column, and only includes those groups that have 6 or fewer records.","cost":0.00010785,"response_parsed":"SELECT restingelectrocardiographicrresults\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults\nHAVING COUNT(*) <= 6;","time":2.2578659058}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) >= 145.75","question":"List the fastingbloodsugar which average of restingbloodpressure is at least 145.75 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING AVG(restingbloodpressure) >= 145.75;\n```","cost":0.00009105,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING AVG(restingbloodpressure) >= 145.75;","time":1.7772014141}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`restingbloodpressure`) <= 145.75","question":"List the fastingbloodsugar which average of restingbloodpressure is at most 145.75 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nWHERE restingbloodpressure <= 145.75;\n```\n\nHowever, 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.\n\nIf you're looking for an average condition (as suggested), you could do it in a slightly modified way:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT AVG(restingbloodpressure) FROM heartAttack) <= 145.75;\n``` \n\nThis version will retrieve `fastingbloodsugar` entries based on whether the average of `restingbloodpressure` across all records meets the value you specified.","cost":0.00018285,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT AVG(restingbloodpressure) FROM heartAttack) <= 145.75;","time":4.975287199}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) >= 1343.5","question":"List the fastingbloodsugar which summation of restingbloodpressure is at least 1343.5 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING SUM(restingbloodpressure) >= 1343.5;\n```","cost":0.00007755,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING SUM(restingbloodpressure) >= 1343.5;","time":1.3381388187}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`restingbloodpressure`) <= 1343.5","question":"List the fastingbloodsugar which summation of restingbloodpressure is at most 1343.5 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT SUM(restingbloodpressure) FROM heartAttack) <= 1343.5;\n```","cost":0.00005475,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT SUM(restingbloodpressure) FROM heartAttack) <= 1343.5;","time":0.8118913174}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) >= 59.17","question":"List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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.\n\nHere's the SQL code that accomplishes this:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING AVG(age) >= 59.17;\n```\n\nThis query will return the `fastingbloodsugar` entries from the `heartAttack` table where the average age across those entries is at least 59.17.","cost":0.00011115,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING AVG(age) >= 59.17;","time":2.4149141312}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING AVG(`age`) <= 59.17","question":"List the fastingbloodsugar which average of age is at most 59.17 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nWHERE age <= 59.17;\n```\n\nHowever, 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:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT AVG(age) FROM heartAttack) <= 59.17;\n```\n\nPlease 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.","cost":0.00014715,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT AVG(age) FROM heartAttack) <= 59.17;","time":2.986628294}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) >= 561.0","question":"List the fastingbloodsugar which summation of age is at least 561.0 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis 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.","cost":0.0000987,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nWHERE (SELECT SUM(age) FROM heartAttack) >= 561.0;","time":3.5467066765}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING SUM(`age`) <= 561.0","question":"List the fastingbloodsugar which summation of age is at most 561.0 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING SUM(age) <= 561.0;\n``` \n\nThis 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.","cost":0.0001149,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING SUM(age) <= 561.0;","time":2.3316128254}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) >= 131.31","question":"List the sex which average of restingbloodpressure is at least 131.31 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to answer the question:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) >= 131.31;\n```","cost":0.000057,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) >= 131.31;","time":0.9653422832}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`restingbloodpressure`) <= 131.31","question":"List the sex which average of restingbloodpressure is at most 131.31 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) <= 131.31;\n```","cost":0.000051,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) <= 131.31;","time":0.9406690598}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) >= 1343.5","question":"List the sex which summation of restingbloodpressure is at least 1343.5 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) >= 1343.5;\n``` \n\nThis 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.","cost":0.0001035,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) >= 1343.5;","time":3.2073836327}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`restingbloodpressure`) <= 1343.5","question":"List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to answer the question:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) <= 1343.5;\n```","cost":0.0000579,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) <= 1343.5;","time":0.8502397537}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) >= 58.78","question":"List the sex which average of age is at least 58.78 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the required information:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) >= 58.78;\n```","cost":0.0000555,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) >= 58.78;","time":0.8512985706}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING AVG(`age`) <= 58.78","question":"List the sex which average of age is at most 58.78 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the sexes from the `heartAttack` table where the average age is at most 58.78, you can use the following SQL code:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) <= 58.78;\n```","cost":0.0000675,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) <= 58.78;","time":1.7806539536}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) >= 561.0","question":"List the sex which summation of age is at least 561.0 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) >= 561.0;\n``` \n\nThis 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.","cost":0.00009225,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) >= 561.0;","time":2.2062246799}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING SUM(`age`) <= 561.0","question":"List the sex which summation of age is at most 561.0 in table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) <= 561.0;\n```","cost":0.00007005,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) <= 561.0;","time":2.3438456059}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `hormonaltherapy`) = (SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`)","question":"What are the menopausalstatus with all the hormonaltherapy in table breastCancer?","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the menopausal status along with all the hormonal therapies from the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT menopausalstatus, hormonaltherapy\nFROM breastCancer;\n```","cost":0.00005985,"response_parsed":"SELECT menopausalstatus, hormonaltherapy\nFROM breastCancer;","time":0.8941442966}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `menopausalstatus` FROM `breastCancer` GROUP BY `menopausalstatus` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`)","question":"What are the menopausalstatus with all the status in table breastCancer?","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the distinct menopausal statuses from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT menopausalstatus \nFROM breastCancer;\n``` \n\nThis query retrieves all unique menopausal statuses present in the `breastCancer` table.","cost":0.0000669,"response_parsed":"SELECT DISTINCT menopausalstatus \nFROM breastCancer;","time":1.1357622147}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `hormonaltherapy` FROM `breastCancer` GROUP BY `hormonaltherapy` HAVING COUNT(DISTINCT `status`) = (SELECT COUNT(DISTINCT `status`) FROM `breastCancer`)","question":"What are the hormonaltherapy with all the status in table breastCancer?","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the hormonal therapy along with all the statuses from the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT hormonaltherapy, status\nFROM breastCancer;\n```","cost":0.00005715,"response_parsed":"SELECT hormonaltherapy, status\nFROM breastCancer;","time":0.9489123821}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `chestpaintype`) = (SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`)","question":"What are the sex with all the chestpaintype in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the distinct combinations of sex and chest paint type from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT sex, chestpaintype\nFROM heartAttack;\n``` \n\nThis query will return all unique pairs of `sex` and `chestpaintype` present in the `heartAttack` table.","cost":0.0000753,"response_parsed":"SELECT DISTINCT sex, chestpaintype\nFROM heartAttack;","time":1.5974786282}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`)","question":"What are the sex with all the fastingbloodsugar in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the sex associated with all the fasting blood sugar values from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT sex, fastingbloodsugar \nFROM heartAttack;\n```","cost":0.00005925,"response_parsed":"SELECT sex, fastingbloodsugar \nFROM heartAttack;","time":0.9272828102}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`)","question":"What are the sex with all the restingelectrocardiographicrresults in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the `sex` along with all other columns from the `restingelectrocardiographicrresults` in the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT sex, restingelectrocardiographicrresults\nFROM heartAttack;\n``` \n\nThis 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:\n\n```sql\nSELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output\nFROM heartAttack;\n``` \n\nThis would return every column from the `heartAttack` table along with `sex`.","cost":0.0001542,"response_parsed":"SELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output\nFROM heartAttack;","time":5.0967378616}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `sex` FROM `heartAttack` GROUP BY `sex` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`)","question":"What are the sex with all the output in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the distinct sexes present in the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT sex FROM heartAttack;\n```","cost":0.0000522,"response_parsed":"SELECT DISTINCT sex FROM heartAttack;","time":1.9172651768}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `fastingbloodsugar`) = (SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`)","question":"What are the chestpaintype with all the fastingbloodsugar in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the chest paint types along with all the fasting blood sugars from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT chestpaintype, fastingbloodsugar\nFROM heartAttack;\n```","cost":0.00006135,"response_parsed":"SELECT chestpaintype, fastingbloodsugar\nFROM heartAttack;","time":1.1066551208}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `chestpaintype` FROM `heartAttack` GROUP BY `chestpaintype` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`)","question":"What are the chestpaintype with all the output in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch all distinct `chestpaintype` values from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT chestpaintype FROM heartAttack;\n``` \n\nThis SQL code will retrieve all unique `chestpaintype` entries within the `heartAttack` table.","cost":0.0000705,"response_parsed":"SELECT DISTINCT chestpaintype FROM heartAttack;","time":1.5847258568}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `restingelectrocardiographicrresults`) = (SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`)","question":"What are the fastingbloodsugar with all the restingelectrocardiographicrresults in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the `fastingbloodsugar` along with all the `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, restingelectrocardiographicrresults \nFROM heartAttack;\n``` \n\nThis will retrieve the specified columns from the `heartAttack` table.","cost":0.00008205,"response_parsed":"SELECT fastingbloodsugar, restingelectrocardiographicrresults \nFROM heartAttack;","time":1.0954670906}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `fastingbloodsugar` FROM `heartAttack` GROUP BY `fastingbloodsugar` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`)","question":"What are the fastingbloodsugar with all the output in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the `fastingbloodsugar` values along with all output columns from the table `heartAttack`, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, *\nFROM heartAttack;\n```\n\nThis 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.","cost":0.00008505,"response_parsed":"SELECT fastingbloodsugar, *\nFROM heartAttack;","time":2.5288288593}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `restingelectrocardiographicrresults` FROM `heartAttack` GROUP BY `restingelectrocardiographicrresults` HAVING COUNT(DISTINCT `output`) = (SELECT COUNT(DISTINCT `output`) FROM `heartAttack`)","question":"What are the restingelectrocardiographicrresults with all the output in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults FROM heartAttack;\n```","cost":0.0000624,"response_parsed":"SELECT restingelectrocardiographicrresults FROM heartAttack;","time":1.3790590763}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` ASC","question":"Show all data ordered by hormonaltherapy in ascending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch all data from the `breastCancer` table, ordered by `hormonaltherapy` in ascending order:\n\n```sql\nSELECT *\nFROM breastCancer\nORDER BY hormonaltherapy ASC;\n```","cost":0.00006045,"response_parsed":"SELECT *\nFROM breastCancer\nORDER BY hormonaltherapy ASC;","time":1.0175685883}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `breastCancer` ORDER BY `hormonaltherapy` DESC","question":"Show all data ordered by hormonaltherapy in descending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM breastCancer\nORDER BY hormonaltherapy DESC;\n```","cost":0.00004245,"response_parsed":"SELECT * FROM breastCancer\nORDER BY hormonaltherapy DESC;","time":0.4606761932}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `breastCancer` ORDER BY `status` ASC","question":"Show all data ordered by status in ascending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM breastCancer ORDER BY status ASC;\n```","cost":0.0000411,"response_parsed":"SELECT * FROM breastCancer ORDER BY status ASC;","time":0.4589841366}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `breastCancer` ORDER BY `status` DESC","question":"Show all data ordered by status in descending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * \nFROM breastCancer \nORDER BY status DESC;\n```","cost":0.0000423,"response_parsed":"SELECT * \nFROM breastCancer \nORDER BY status DESC;","time":0.9651808739}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` ASC","question":"Project the tumorgrade ordered in ascending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to project the `tumorgrade` from the `breastCancer` table, ordered in ascending order:\n\n```sql\nSELECT tumorgrade\nFROM breastCancer\nORDER BY tumorgrade ASC;\n```","cost":0.00005955,"response_parsed":"SELECT tumorgrade\nFROM breastCancer\nORDER BY tumorgrade ASC;","time":1.1364901066}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `tumorgrade` FROM `breastCancer` ORDER BY `tumorgrade` DESC","question":"Project the tumorgrade ordered in descending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the tumor grades from the `breastCancer` table and order them in descending order, you can use the following SQL code:\n\n```sql\nSELECT tumorgrade \nFROM breastCancer \nORDER BY tumorgrade DESC;\n```","cost":0.00006015,"response_parsed":"SELECT tumorgrade \nFROM breastCancer \nORDER BY tumorgrade DESC;","time":1.6545317173}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` ASC","question":"Project the patientidentifier ordered in ascending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To project the `patientidentifier` from the `breastCancer` table ordered in ascending order, you would use the following SQL code:\n\n```sql\nSELECT patientidentifier \nFROM breastCancer \nORDER BY patientidentifier ASC;\n```","cost":0.00006015,"response_parsed":"SELECT patientidentifier \nFROM breastCancer \nORDER BY patientidentifier ASC;","time":1.0324344635}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `patientidentifier` FROM `breastCancer` ORDER BY `patientidentifier` DESC","question":"Project the patientidentifier ordered in descending order for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here's the SQL code to project the `patientidentifier` from the `breastCancer` table, ordered in descending order:\n\n```sql\nSELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier DESC;\n```","cost":0.00005835,"response_parsed":"SELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier DESC;","time":1.7278280258}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` ASC","question":"Show all data ordered by numberofmajorvvessels in ascending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack\nORDER BY numberofmajorvvessels ASC;\n```","cost":0.00004545,"response_parsed":"SELECT * FROM heartAttack\nORDER BY numberofmajorvvessels ASC;","time":0.5117120743}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `heartAttack` ORDER BY `numberofmajorvvessels` DESC","question":"Show all data ordered by numberofmajorvvessels in descending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here's the SQL code to fetch all data from the `heartAttack` table ordered by `numberofmajorvvessels` in descending order:\n\n```sql\nSELECT * FROM heartAttack\nORDER BY numberofmajorvvessels DESC;\n```","cost":0.00006285,"response_parsed":"SELECT * FROM heartAttack\nORDER BY numberofmajorvvessels DESC;","time":0.8891673088}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` ASC","question":"Show all data ordered by restingbloodpressure in ascending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to show all data from the `heartAttack` table ordered by `restingbloodpressure` in ascending order:\n\n```sql\nSELECT * FROM heartAttack\nORDER BY restingbloodpressure ASC;\n```","cost":0.00006,"response_parsed":"SELECT * FROM heartAttack\nORDER BY restingbloodpressure ASC;","time":2.0005874634}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `heartAttack` ORDER BY `restingbloodpressure` DESC","question":"Show all data ordered by restingbloodpressure in descending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack\nORDER BY restingbloodpressure DESC;\n```","cost":0.0000432,"response_parsed":"SELECT * FROM heartAttack\nORDER BY restingbloodpressure DESC;","time":0.6935861111}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` ASC","question":"Project the restingelectrocardiographicrresults ordered in ascending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to project the `restingelectrocardiographicrresults` ordered in ascending order from the `heartAttack` table:\n\n```sql\nSELECT restingelectrocardiographicrresults \nFROM heartAttack \nORDER BY restingelectrocardiographicrresults ASC;\n```","cost":0.0000714,"response_parsed":"SELECT restingelectrocardiographicrresults \nFROM heartAttack \nORDER BY restingelectrocardiographicrresults ASC;","time":1.5948340893}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `restingelectrocardiographicrresults` FROM `heartAttack` ORDER BY `restingelectrocardiographicrresults` DESC","question":"Project the restingelectrocardiographicrresults ordered in descending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the `restingelectrocardiographicrresults` ordered in descending order from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT restingelectrocardiographicrresults\nFROM heartAttack\nORDER BY restingelectrocardiographicrresults DESC;\n```","cost":0.0000732,"response_parsed":"SELECT restingelectrocardiographicrresults\nFROM heartAttack\nORDER BY restingelectrocardiographicrresults DESC;","time":0.9496290684}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `sex` FROM `heartAttack` ORDER BY `sex` ASC","question":"Project the sex ordered in ascending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT sex FROM heartAttack ORDER BY sex ASC;\n```","cost":0.0000408,"response_parsed":"SELECT sex FROM heartAttack ORDER BY sex ASC;","time":1.8974297047}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `sex` FROM `heartAttack` ORDER BY `sex` DESC","question":"Project the sex ordered in descending order for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT sex \nFROM heartAttack \nORDER BY sex DESC;\n```","cost":0.000042,"response_parsed":"SELECT sex \nFROM heartAttack \nORDER BY sex DESC;","time":0.6159226894}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `age` FROM `breastCancer`","question":"Show all age in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch all ages from the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT age FROM breastCancer;\n```","cost":0.0000504,"response_parsed":"SELECT age FROM breastCancer;","time":3.7587149143}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `progesteronereceptor` FROM `breastCancer`","question":"Show all progesteronereceptor in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To show all values of the `progesteronereceptor` column from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT progesteronereceptor FROM breastCancer;\n```","cost":0.00005865,"response_parsed":"SELECT progesteronereceptor FROM breastCancer;","time":1.1712114811}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `estrogenreceptor` FROM `breastCancer`","question":"Show all estrogenreceptor in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT estrogenreceptor FROM breastCancer;\n```","cost":0.0000393,"response_parsed":"SELECT estrogenreceptor FROM breastCancer;","time":0.5673725605}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `status` FROM `breastCancer`","question":"Show all status in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT status FROM breastCancer;\n```","cost":0.0000378,"response_parsed":"SELECT status FROM breastCancer;","time":0.4973316193}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `patientidentifier` FROM `breastCancer`","question":"Show all patientidentifier in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT patientidentifier FROM breastCancer;\n```","cost":0.00003855,"response_parsed":"SELECT patientidentifier FROM breastCancer;","time":0.610350132}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `breastCancer`","question":"Show all the rows in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM breastCancer;\n```","cost":0.00003795,"response_parsed":"SELECT * FROM breastCancer;","time":0.4377782345}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `status` FROM `breastCancer`","question":"Show all status in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch all the status from the `breastCancer` table, the SQL code would be:\n\n```sql\nSELECT status FROM breastCancer;\n```","cost":0.0000498,"response_parsed":"SELECT status FROM breastCancer;","time":0.8005793095}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `estrogenreceptor`, `tumorgrade` FROM `breastCancer`","question":"Show all estrogenreceptor, tumorgrade in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Certainly! Here's the SQL code to fetch all `estrogenreceptor` and `tumorgrade` from the `breastCancer` table:\n\n```sql\nSELECT estrogenreceptor, tumorgrade FROM breastCancer;\n```","cost":0.00005955,"response_parsed":"SELECT estrogenreceptor, tumorgrade FROM breastCancer;","time":0.9794874191}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `hormonaltherapy`, `patientidentifier`, `numberpositivelymphnodes` FROM `breastCancer`","question":"Show all hormonaltherapy, patientidentifier, numberpositivelymphnodes in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the requested information from the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes\nFROM breastCancer;\n```","cost":0.0000591,"response_parsed":"SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes\nFROM breastCancer;","time":1.0617756844}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, `age` FROM `breastCancer`","question":"Show all numberpositivelymphnodes, patientidentifier, tumorgrade, age in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the specified information from the `breastCancer` table:\n\n```sql\nSELECT \n    numberpositivelymphnodes, \n    patientidentifier, \n    tumorgrade, \n    age \nFROM \n    breastCancer;\n```","cost":0.0000648,"response_parsed":"SELECT \n    numberpositivelymphnodes, \n    patientidentifier, \n    tumorgrade, \n    age \nFROM \n    breastCancer;","time":3.5480365753}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, `age` FROM `breastCancer`","question":"Show all estrogenreceptor, status, menopausalstatus, tumorgrade, age in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the specified columns from the `breastCancer` table:\n\n```sql\nSELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age \nFROM breastCancer;\n```","cost":0.00005955,"response_parsed":"SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age \nFROM breastCancer;","time":0.9077732563}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `patientidentifier`, `hormonaltherapy`, `status`, `age`, `menopausalstatus`, `tumorsize` FROM `breastCancer`","question":"Show all patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the specified columns from the `breastCancer` table:\n\n```sql\nSELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize\nFROM breastCancer;\n```","cost":0.00006105,"response_parsed":"SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize\nFROM breastCancer;","time":1.1355452538}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age` FROM `breastCancer`","question":"Show all tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age \nFROM breastCancer;\n```","cost":0.0000564,"response_parsed":"SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age \nFROM breastCancer;","time":1.020714283}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, `hormonaltherapy` FROM `breastCancer`","question":"Show all tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy\nFROM breastCancer;\n```","cost":0.00005565,"response_parsed":"SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy\nFROM breastCancer;","time":1.25365448}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `tumorsize`, `hormonaltherapy`, `age`, `status`, `tumorgrade`, `menopausalstatus`, `progesteronereceptor`, `estrogenreceptor`, `numberpositivelymphnodes` FROM `breastCancer`","question":"Show all tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes in the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the requested information from the `breastCancer` table:\n\n```sql\nSELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes\nFROM breastCancer;\n```","cost":0.0000723,"response_parsed":"SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes\nFROM breastCancer;","time":1.0442883968}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `restingelectrocardiographicrresults` FROM `heartAttack`","question":"Show all restingelectrocardiographicrresults in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT restingelectrocardiographicrresults \nFROM heartAttack;\n```","cost":0.0000444,"response_parsed":"SELECT restingelectrocardiographicrresults \nFROM heartAttack;","time":0.7198882103}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `fastingbloodsugar` FROM `heartAttack`","question":"Show all fastingbloodsugar in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch all `fastingbloodsugar` values from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT fastingbloodsugar FROM heartAttack;\n```","cost":0.00005625,"response_parsed":"SELECT fastingbloodsugar FROM heartAttack;","time":1.9054210186}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `thall` FROM `heartAttack`","question":"Show all thall in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT thall FROM heartAttack;\n```","cost":0.00003855,"response_parsed":"SELECT thall FROM heartAttack;","time":0.4880526066}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `restingbloodpressure` FROM `heartAttack`","question":"Show all restingbloodpressure in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch all the `restingbloodpressure` values from the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT restingbloodpressure FROM heartAttack;\n```","cost":0.0000555,"response_parsed":"SELECT restingbloodpressure FROM heartAttack;","time":1.2886269093}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `numberofmajorvvessels` FROM `heartAttack`","question":"Show all numberofmajorvvessels in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch all values of `numberofmajorvvessels` from the table `heartAttack`, you can use the following SQL code:\n\n```sql\nSELECT numberofmajorvvessels FROM heartAttack;\n```","cost":0.00005835,"response_parsed":"SELECT numberofmajorvvessels FROM heartAttack;","time":2.7671611309}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `heartAttack`","question":"Show all the rows in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack;\n```","cost":0.00003795,"response_parsed":"SELECT * FROM heartAttack;","time":0.4707973003}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `restingbloodpressure` FROM `heartAttack`","question":"Show all restingbloodpressure in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch all `restingbloodpressure` values from the `heartAttack` table:\n\n```sql\nSELECT restingbloodpressure FROM heartAttack;\n```","cost":0.0000531,"response_parsed":"SELECT restingbloodpressure FROM heartAttack;","time":1.0988404751}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `restingbloodpressure`, `thall` FROM `heartAttack`","question":"Show all restingbloodpressure, thall in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve all `restingbloodpressure` and `thall` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingbloodpressure, thall FROM heartAttack;\n```","cost":0.00005955,"response_parsed":"SELECT restingbloodpressure, thall FROM heartAttack;","time":0.6954290867}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `restingbloodpressure`, `sex`, `fastingbloodsugar` FROM `heartAttack`","question":"Show all restingbloodpressure, sex, fastingbloodsugar in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the requested information from the `heartAttack` table:\n\n```sql\nSELECT restingbloodpressure, sex, fastingbloodsugar \nFROM heartAttack;\n```","cost":0.00005595,"response_parsed":"SELECT restingbloodpressure, sex, fastingbloodsugar \nFROM heartAttack;","time":0.9360098839}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `thall`, `sex`, `numberofmajorvvessels`, `age` FROM `heartAttack`","question":"Show all thall, sex, numberofmajorvvessels, age in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT thall, sex, numberofmajorvvessels, age \nFROM heartAttack;\n```","cost":0.0000474,"response_parsed":"SELECT thall, sex, numberofmajorvvessels, age \nFROM heartAttack;","time":1.1348178387}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, `numberofmajorvvessels` FROM `heartAttack`","question":"Show all restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT \n    restingelectrocardiographicrresults, \n    restingbloodpressure, \n    thall, \n    fastingbloodsugar, \n    numberofmajorvvessels \nFROM \n    heartAttack;\n```","cost":0.00006585,"response_parsed":"SELECT \n    restingelectrocardiographicrresults, \n    restingbloodpressure, \n    thall, \n    fastingbloodsugar, \n    numberofmajorvvessels \nFROM \n    heartAttack;","time":2.2561042309}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg` FROM `heartAttack`","question":"Show all sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg\nFROM heartAttack;\n```","cost":0.0000564,"response_parsed":"SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg\nFROM heartAttack;","time":1.3810858727}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `numberofmajorvvessels`, `restingbloodpressure`, `age`, `fastingbloodsugar`, `sex`, `cholestoralinmg`, `restingelectrocardiographicrresults` FROM `heartAttack`","question":"Show all numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults\nFROM heartAttack;\n```","cost":0.0000639,"response_parsed":"SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults\nFROM heartAttack;","time":0.9247896671}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, `sex` FROM `heartAttack`","question":"Show all numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT \n    numberofmajorvvessels, \n    chestpaintype, \n    restingelectrocardiographicrresults, \n    output, \n    fastingbloodsugar, \n    restingbloodpressure, \n    cholestoralinmg, \n    sex \nFROM \n    heartAttack;\n```","cost":0.0000777,"response_parsed":"SELECT \n    numberofmajorvvessels, \n    chestpaintype, \n    restingelectrocardiographicrresults, \n    output, \n    fastingbloodsugar, \n    restingbloodpressure, \n    cholestoralinmg, \n    sex \nFROM \n    heartAttack;","time":1.5117461681}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `chestpaintype`, `sex`, `fastingbloodsugar`, `restingelectrocardiographicrresults`, `thall`, `numberofmajorvvessels`, `age`, `output`, `restingbloodpressure` FROM `heartAttack`","question":"Show all chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure in the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure \nFROM heartAttack;\n```","cost":0.00006615,"response_parsed":"SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure \nFROM heartAttack;","time":0.9030621052}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `menopausalstatus` == 'postmenopausal'","question":"Show the data of the table breastCancer where menopausalstatus is equal to postmenopausal","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the data from the `breastCancer` table where `menopausalstatus` is equal to `postmenopausal`, you can use the following SQL code:\n\n```sql\nSELECT * FROM breastCancer WHERE menopausalstatus = 'postmenopausal';\n```","cost":0.00006705,"response_parsed":"SELECT * FROM breastCancer WHERE menopausalstatus = 'postmenopausal';","time":1.7150173187}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'premenopausal'","question":"Show the data of the table breastCancer where menopausalstatus is different from premenopausal","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the data from the `breastCancer` table where `menopausalstatus` is different from 'premenopausal', you can use the following SQL code:\n\n```sql\nSELECT * \nFROM breastCancer \nWHERE menopausalstatus <> 'premenopausal';\n```","cost":0.00006825,"response_parsed":"SELECT * \nFROM breastCancer \nWHERE menopausalstatus <> 'premenopausal';","time":1.0725624561}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `menopausalstatus` != 'postmenopausal'","question":"Show the data of the table breastCancer where menopausalstatus not equal to postmenopausal","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM breastCancer WHERE menopausalstatus <> 'postmenopausal';\n```","cost":0.00004545,"response_parsed":"SELECT * FROM breastCancer WHERE menopausalstatus <> 'postmenopausal';","time":0.6774046421}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `hormonaltherapy` == 'yes'","question":"Show the data of the table breastCancer where hormonaltherapy is equal to yes","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT *\nFROM breastCancer\nWHERE hormonaltherapy = 'yes';\n```","cost":0.00004305,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE hormonaltherapy = 'yes';","time":1.1957943439}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no'","question":"Show the data of the table breastCancer where hormonaltherapy is different from no","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT *\nFROM breastCancer\nWHERE hormonaltherapy <> 'no';\n```","cost":0.00004305,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE hormonaltherapy <> 'no';","time":0.4634759426}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `hormonaltherapy` != 'no'","question":"Show the data of the table breastCancer where hormonaltherapy not equal to no","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch data from the `breastCancer` table where `hormonaltherapy` is not equal to 'no', you can use the following SQL query:\n\n```sql\nSELECT * FROM breastCancer WHERE hormonaltherapy <> 'no';\n```","cost":0.00006225,"response_parsed":"SELECT * FROM breastCancer WHERE hormonaltherapy <> 'no';","time":0.9760932922}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `status` == 'recurrenceOrDeath'","question":"Show the data of the table breastCancer where status is equal to recurrenceOrDeath","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM breastCancer WHERE status = 'recurrenceOrDeath';\n```","cost":0.0000438,"response_parsed":"SELECT * FROM breastCancer WHERE status = 'recurrenceOrDeath';","time":0.5674169064}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","question":"Show the data of the table breastCancer where status is different from aliveWithoutRecurrence,","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `breastCancer` table where the `status` is different from 'aliveWithoutRecurrence':\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE status <> 'aliveWithoutRecurrence';\n```","cost":0.00006315,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE status <> 'aliveWithoutRecurrence';","time":1.5875222683}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `breastCancer` WHERE `status` != 'aliveWithoutRecurrence,'","question":"Show the data of the table breastCancer where status not equal to aliveWithoutRecurrence,","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * \nFROM breastCancer \nWHERE status <> 'aliveWithoutRecurrence';\n```","cost":0.00004515,"response_parsed":"SELECT * \nFROM breastCancer \nWHERE status <> 'aliveWithoutRecurrence';","time":0.5259964466}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `breastCancer` WHERE `age` > 32","question":"Show the data of the table breastCancer where age is greater than 32","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM breastCancer WHERE age > 32;\n```","cost":0.00004185,"response_parsed":"SELECT * FROM breastCancer WHERE age > 32;","time":0.4310152531}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `breastCancer` WHERE `progesteronereceptor` < 239","question":"Show the data of the table breastCancer where progesteronereceptor is less than 239","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the data from the table `breastCancer` where `progesteronereceptor` is less than 239:\n\n```sql\nSELECT * FROM breastCancer WHERE progesteronereceptor < 239;\n```","cost":0.0000627,"response_parsed":"SELECT * FROM breastCancer WHERE progesteronereceptor < 239;","time":1.1273965836}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `chestpaintype` == 'nonAnginalPain'","question":"Show the data of the table heartAttack where chestpaintype is equal to nonAnginalPain","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack WHERE chestpaintype = 'nonAnginalPain';\n```","cost":0.00004545,"response_parsed":"SELECT * FROM heartAttack WHERE chestpaintype = 'nonAnginalPain';","time":0.4028565884}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'asymptomatic'","question":"Show the data of the table heartAttack where chestpaintype is different from asymptomatic","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack WHERE chestpaintype <> 'asymptomatic';\n```","cost":0.00004455,"response_parsed":"SELECT * FROM heartAttack WHERE chestpaintype <> 'asymptomatic';","time":0.559155941}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `chestpaintype` != 'typicalAngina'","question":"Show the data of the table heartAttack where chestpaintype not equal to typicalAngina","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina';\n```","cost":0.0000453,"response_parsed":"SELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina';","time":1.0661466122}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` == 'leftVentricularHypertrophy'","question":"Show the data of the table heartAttack where restingelectrocardiographicrresults is equal to leftVentricularHypertrophy","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * \nFROM heartAttack \nWHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';\n```","cost":0.0000534,"response_parsed":"SELECT * \nFROM heartAttack \nWHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';","time":0.8249521255}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'normal'","question":"Show the data of the table heartAttack where restingelectrocardiographicrresults is different from normal","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is different from normal:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults <> 'normal';\n```","cost":0.0000681,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults <> 'normal';","time":1.3101539612}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `restingelectrocardiographicrresults` != 'STTWaveAbnormality'","question":"Show the data of the table heartAttack where restingelectrocardiographicrresults not equal to STTWaveAbnormality","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here's the SQL code to fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is not equal to 'STTWaveAbnormality':\n\n```sql\nSELECT * \nFROM heartAttack \nWHERE restingelectrocardiographicrresults <> 'STTWaveAbnormality';\n```","cost":0.00007605,"response_parsed":"SELECT * \nFROM heartAttack \nWHERE restingelectrocardiographicrresults <> 'STTWaveAbnormality';","time":1.3662493229}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `output` == 'noHeartAttack'","question":"Show the data of the table heartAttack where output is equal to noHeartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack WHERE output = 'noHeartAttack';\n```","cost":0.0000432,"response_parsed":"SELECT * FROM heartAttack WHERE output = 'noHeartAttack';","time":0.6619126797}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack'","question":"Show the data of the table heartAttack where output is different from heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE output <> 'heartAttack';\n``` \n\nThis 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.","cost":0.00009345,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE output <> 'heartAttack';","time":1.5519967079}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `heartAttack` WHERE `output` != 'heartAttack'","question":"Show the data of the table heartAttack where output not equal to heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the data from the `heartAttack` table where the `output` column is not equal to \"heartAttack\", you can use the following SQL code:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE output <> 'heartAttack';\n```","cost":0.00006285,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE output <> 'heartAttack';","time":1.0741677284}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `heartAttack` WHERE `numberofmajorvvessels` > 2","question":"Show the data of the table heartAttack where numberofmajorvvessels is greater than 2","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `heartAttack` table where `numberofmajorvvessels` is greater than 2:\n\n```sql\nSELECT * FROM heartAttack WHERE numberofmajorvvessels > 2;\n```","cost":0.0000642,"response_parsed":"SELECT * FROM heartAttack WHERE numberofmajorvvessels > 2;","time":1.265253067}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `heartAttack` WHERE `cholestoralinmg` > 197","question":"Show the data of the table heartAttack where cholestoralinmg is greater than 197","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `heartAttack` table where `cholestoralinmg` is greater than 197:\n\n```sql\nSELECT * FROM heartAttack WHERE cholestoralinmg > 197;\n```","cost":0.00006285,"response_parsed":"SELECT * FROM heartAttack WHERE cholestoralinmg > 197;","time":1.0433418751}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `heartAttack` WHERE `cholestoralinmg` < 211","question":"Show the data of the table heartAttack where cholestoralinmg is less than 211","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack WHERE cholestoralinmg < 211;\n```","cost":0.00004485,"response_parsed":"SELECT * FROM heartAttack WHERE cholestoralinmg < 211;","time":0.6268115044}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `heartAttack` WHERE `thall` > 2","question":"Show the data of the table heartAttack where thall is greater than 2","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM heartAttack WHERE thall > 2;\n```","cost":0.0000426,"response_parsed":"SELECT * FROM heartAttack WHERE thall > 2;","time":0.6216256618}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `menopausalstatus`) FROM `breastCancer`","question":"How many different menopausalstatus are in table breastCancer?","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the number of different `menopausalstatus` values in the `breastCancer` table, you would use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT menopausalstatus) AS different_menopausal_status_count\nFROM breastCancer;\n```","cost":0.00006585,"response_parsed":"SELECT COUNT(DISTINCT menopausalstatus) AS different_menopausal_status_count\nFROM breastCancer;","time":1.1421737671}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `hormonaltherapy`) FROM `breastCancer`","question":"How many different hormonaltherapy are in table breastCancer?","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find out how many different types of hormonal therapy are present in the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT hormonaltherapy) AS different_hormonal_therapies\nFROM breastCancer;\n``` \n\nThis query counts the distinct entries in the `hormonaltherapy` column of the `breastCancer` table and returns the result as `different_hormonal_therapies`.","cost":0.0000885,"response_parsed":"SELECT COUNT(DISTINCT hormonaltherapy) AS different_hormonal_therapies\nFROM breastCancer;","time":1.7382593155}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `status`) FROM `breastCancer`","question":"How many different status are in table breastCancer?","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the number of different statuses in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT status) AS different_status_count\nFROM breastCancer;\n```","cost":0.00005835,"response_parsed":"SELECT COUNT(DISTINCT status) AS different_status_count\nFROM breastCancer;","time":1.4576277733}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`progesteronereceptor`) FROM `breastCancer`","question":"Find the maximum progesteronereceptor for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the maximum of the `progesteronereceptor` field from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM breastCancer;\n```","cost":0.000066,"response_parsed":"SELECT MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM breastCancer;","time":1.5674173832}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`progesteronereceptor`) FROM `breastCancer`","question":"Find the minimum progesteronereceptor for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to find the minimum `progesteronereceptor` value from the `breastCancer` table:\n\n```sql\nSELECT MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer;\n```","cost":0.000063,"response_parsed":"SELECT MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer;","time":0.8314211369}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`progesteronereceptor`) FROM `breastCancer`","question":"Find the average progesteronereceptor for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the average progesterone receptor level from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT AVG(progesteronereceptor) AS average_progesteronereceptor\nFROM breastCancer;\n```","cost":0.0000624,"response_parsed":"SELECT AVG(progesteronereceptor) AS average_progesteronereceptor\nFROM breastCancer;","time":1.037321806}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`estrogenreceptor`) FROM `breastCancer`","question":"Find the maximum estrogenreceptor for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the maximum value of the \"estrogenreceptor\" column from the \"breastCancer\" table, you can execute the following SQL code:\n\n```sql\nSELECT MAX(estrogenreceptor) AS max_estrogen_receptor\nFROM breastCancer;\n```","cost":0.00006405,"response_parsed":"SELECT MAX(estrogenreceptor) AS max_estrogen_receptor\nFROM breastCancer;","time":1.2718150616}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`estrogenreceptor`) FROM `breastCancer`","question":"Find the minimum estrogenreceptor for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the minimum value of the `estrogenreceptor` field in the `breastCancer` table, you can use the following SQL code:\n\n```sql\nSELECT MIN(estrogenreceptor) AS min_estrogen_receptor\nFROM breastCancer;\n```","cost":0.00006405,"response_parsed":"SELECT MIN(estrogenreceptor) AS min_estrogen_receptor\nFROM breastCancer;","time":0.9127044678}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"breastCancer","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`estrogenreceptor`) FROM `breastCancer`","question":"Find the average estrogenreceptor for the table breastCancer","db_schema_normalized":"`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here's the SQL code to find the average estrogen receptor value from the `breastCancer` table:\n\n```sql\nSELECT AVG(estrogenreceptor) AS average_estrogen_receptor\nFROM breastCancer;\n```","cost":0.00005745,"response_parsed":"SELECT AVG(estrogenreceptor) AS average_estrogen_receptor\nFROM breastCancer;","time":1.0710954666}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `sex`) FROM `heartAttack`","question":"How many different sex are in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To answer the question of how many different sexes are present in the `heartAttack` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT sex) AS different_sexes\nFROM heartAttack;\n```","cost":0.00006015,"response_parsed":"SELECT COUNT(DISTINCT sex) AS different_sexes\nFROM heartAttack;","time":0.9146537781}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `chestpaintype`) FROM `heartAttack`","question":"How many different chestpaintype are in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the number of different `chestpaintype` entries from the `heartAttack` table:\n\n```sql\nSELECT COUNT(DISTINCT chestpaintype) AS different_chestpaintypes\nFROM heartAttack;\n```","cost":0.00006225,"response_parsed":"SELECT COUNT(DISTINCT chestpaintype) AS different_chestpaintypes\nFROM heartAttack;","time":1.6655318737}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `fastingbloodsugar`) FROM `heartAttack`","question":"How many different fastingbloodsugar are in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To fetch the number of different fasting blood sugar values in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT fastingbloodsugar) AS unique_fastingbloodsugar_count\nFROM heartAttack;\n```","cost":0.0000642,"response_parsed":"SELECT COUNT(DISTINCT fastingbloodsugar) AS unique_fastingbloodsugar_count\nFROM heartAttack;","time":1.4605798721}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `restingelectrocardiographicrresults`) FROM `heartAttack`","question":"How many different restingelectrocardiographicrresults are in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the number of different `restingelectrocardiographicrresults` in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT restingelectrocardiographicrresults) AS different_results\nFROM heartAttack;\n``` \n\nThis query counts the distinct values in the `restingelectrocardiographicrresults` column and labels the output as `different_results`.","cost":0.00008715,"response_parsed":"SELECT COUNT(DISTINCT restingelectrocardiographicrresults) AS different_results\nFROM heartAttack;","time":1.5330638885}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `output`) FROM `heartAttack`","question":"How many different output are in table heartAttack?","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To retrieve the number of different outputs in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT output) AS different_outputs\nFROM heartAttack;\n```","cost":0.00005715,"response_parsed":"SELECT COUNT(DISTINCT output) AS different_outputs\nFROM heartAttack;","time":0.8893821239}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`numberofmajorvvessels`) FROM `heartAttack`","question":"Find the maximum numberofmajorvvessels for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the maximum number of major vessels in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT MAX(numberofmajorvvessels) AS max_major_vessels\nFROM heartAttack;\n```","cost":0.0000615,"response_parsed":"SELECT MAX(numberofmajorvvessels) AS max_major_vessels\nFROM heartAttack;","time":1.3685133457}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`numberofmajorvvessels`) FROM `heartAttack`","question":"Find the minimum numberofmajorvvessels for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"```sql\nSELECT MIN(numberofmajorvvessels) AS MinimumNumberOfMajorVessels\nFROM heartAttack;\n```","cost":0.0000483,"response_parsed":"SELECT MIN(numberofmajorvvessels) AS MinimumNumberOfMajorVessels\nFROM heartAttack;","time":0.9992661476}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`numberofmajorvvessels`) FROM `heartAttack`","question":"Find the average numberofmajorvvessels for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"Here's the SQL code to find the average number of major vessels in the `heartAttack` table:\n\n```sql\nSELECT AVG(numberofmajorvvessels) AS average_number_of_major_vessels\nFROM heartAttack;\n```","cost":0.0000603,"response_parsed":"SELECT AVG(numberofmajorvvessels) AS average_number_of_major_vessels\nFROM heartAttack;","time":1.1825842857}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`thall`) FROM `heartAttack`","question":"Find the maximum thall for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT MAX(thall) AS max_thall\nFROM heartAttack;\n```","cost":0.0000669,"response_parsed":"SELECT MAX(thall) AS max_thall\nFROM heartAttack;","time":1.2501187325}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`thall`) FROM `heartAttack`","question":"Find the minimum thall for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the minimum value of the `thall` column from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT MIN(thall) AS minimum_thall FROM heartAttack;\n```","cost":0.0000591,"response_parsed":"SELECT MIN(thall) AS minimum_thall FROM heartAttack;","time":0.955650568}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/medicine\/medicine.sqlite","db_id":"medicine","tbl_name":"heartAttack","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`thall`) FROM `heartAttack`","question":"Find the average thall for the table heartAttack","db_schema_normalized":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)","db_schema":"`\"heartAttack\"` (\"age\" INTEGER, \"sex\" TEXT, \"chestpaintype\" TEXT, \"restingbloodpressure\" INTEGER, \"cholestoralinmg\" INTEGER, \"fastingbloodsugar\" TEXT, \"restingelectrocardiographicrresults\" TEXT, \"numberofmajorvvessels\" INTEGER, \"thall\" INTEGER, \"output\" TEXT)\n`\"breastCancer\"` (\"patientidentifier\" INTEGER, \"age\" INTEGER, \"menopausalstatus\" TEXT, \"tumorsize\" INTEGER, \"tumorgrade\" INTEGER, \"numberpositivelymphnodes\" INTEGER, \"progesteronereceptor\" INTEGER, \"estrogenreceptor\" INTEGER, \"hormonaltherapy\" TEXT, \"status\" TEXT)","pred_dict":{"response":"To find the average `thall` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT AVG(thall) AS average_thall\nFROM heartAttack;\n```","cost":0.0000573,"response_parsed":"SELECT AVG(thall) AS average_thall\nFROM heartAttack;","time":0.9212560654}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `nativecountry` FROM `adultCensus`","question":"Show the different nativecountry in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT DISTINCT nativecountry FROM adultCensus;\n```","cost":0.00003555,"response_parsed":"SELECT DISTINCT nativecountry FROM adultCensus;","time":0.6330952644}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `sex` FROM `adultCensus`","question":"Show the different sex in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To show the different sex values in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT sex FROM adultCensus;\n```","cost":0.0000486,"response_parsed":"SELECT DISTINCT sex FROM adultCensus;","time":3.2166893482}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `race` FROM `adultCensus`","question":"Show the different race in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To query the different races in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT race FROM adultCensus;\n```","cost":0.000048,"response_parsed":"SELECT DISTINCT race FROM adultCensus;","time":0.6788992882}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `workclass` FROM `adultCensus`","question":"Show the different workclass in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT DISTINCT workclass FROM adultCensus;\n```","cost":0.00003555,"response_parsed":"SELECT DISTINCT workclass FROM adultCensus;","time":0.5669462681}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `income` FROM `adultCensus`","question":"Show the different income in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To show the different income values in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT income \nFROM adultCensus;\n```","cost":0.0000492,"response_parsed":"SELECT DISTINCT income \nFROM adultCensus;","time":0.8594732285}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `odor` FROM `mushrooms`","question":"Show the different odor in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To show the different odors in the table `mushrooms`, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT odor FROM mushrooms;\n```","cost":0.0000459,"response_parsed":"SELECT DISTINCT odor FROM mushrooms;","time":0.8848788738}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `gillspacing` FROM `mushrooms`","question":"Show the different gillspacing in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the different gill spacing values from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT gillspacing \nFROM mushrooms;\n```","cost":0.0000504,"response_parsed":"SELECT DISTINCT gillspacing \nFROM mushrooms;","time":0.978284359}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `capshape` FROM `mushrooms`","question":"Show the different capshape in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the different cap shapes from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT capshape FROM mushrooms;\n``` \n\nThis query selects all unique values in the `capshape` column from the `mushrooms` table.","cost":0.00006165,"response_parsed":"SELECT DISTINCT capshape FROM mushrooms;","time":1.4082460403}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `gillsize` FROM `mushrooms`","question":"Show the different gillsize in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To show the different `gillsize` values in the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT gillsize FROM mushrooms;\n```","cost":0.000051,"response_parsed":"SELECT DISTINCT gillsize FROM mushrooms;","time":1.5814905167}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"DISTINCT","sql_tag":"DISTINCT-SINGLE","query":"SELECT DISTINCT `capsurface` FROM `mushrooms`","question":"Show the different capsurface in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct values of `capsurface` from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT capsurface FROM mushrooms;\n```","cost":0.00005025,"response_parsed":"SELECT DISTINCT capsurface FROM mushrooms;","time":2.003382206}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `education`, COUNT(*) FROM `adultCensus` GROUP BY `education`","question":"For each education, count the number of rows in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of rows in the `adultCensus` table for each unique education level, you can use the following SQL query:\n\n```sql\nSELECT education, COUNT(*) AS count\nFROM adultCensus\nGROUP BY education;\n```","cost":0.0000576,"response_parsed":"SELECT education, COUNT(*) AS count\nFROM adultCensus\nGROUP BY education;","time":1.0482258797}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `maritalstatus`, COUNT(*) FROM `adultCensus` GROUP BY `maritalstatus`","question":"For each maritalstatus, count the number of rows in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT maritalstatus, COUNT(*) AS number_of_rows\nFROM adultCensus\nGROUP BY maritalstatus;\n```","cost":0.00004335,"response_parsed":"SELECT maritalstatus, COUNT(*) AS number_of_rows\nFROM adultCensus\nGROUP BY maritalstatus;","time":0.8684790134}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `race`, COUNT(*) FROM `adultCensus` GROUP BY `race`","question":"For each race, count the number of rows in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of rows for each race in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT race, COUNT(*) AS count\nFROM adultCensus\nGROUP BY race;\n```","cost":0.0000564,"response_parsed":"SELECT race, COUNT(*) AS count\nFROM adultCensus\nGROUP BY race;","time":1.6987550259}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `nativecountry`, COUNT(*) FROM `adultCensus` GROUP BY `nativecountry`","question":"For each nativecountry, count the number of rows in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of rows in the `adultCensus` table for each `nativecountry`, you can use the following SQL query:\n\n```sql\nSELECT nativecountry, COUNT(*) AS row_count\nFROM adultCensus\nGROUP BY nativecountry;\n```","cost":0.00005955,"response_parsed":"SELECT nativecountry, COUNT(*) AS row_count\nFROM adultCensus\nGROUP BY nativecountry;","time":1.1695895195}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `workclass`, COUNT(*) FROM `adultCensus` GROUP BY `workclass`","question":"For each workclass, count the number of rows in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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\u2019s the SQL code you would execute:\n\n```sql\nSELECT workclass, COUNT(*) AS count\nFROM adultCensus\nGROUP BY workclass;\n```","cost":0.00006975,"response_parsed":"SELECT workclass, COUNT(*) AS count\nFROM adultCensus\nGROUP BY workclass;","time":5.0866749287}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `race`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","question":"For each race, find the min of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT race, MIN(hoursperweek) AS min_hoursperweek\nFROM adultCensus\nGROUP BY race;\n``` \n\nThis SQL query selects the race and the minimum hours worked per week from the `adultCensus` table, grouping the results by race.","cost":0.0000837,"response_parsed":"SELECT race, MIN(hoursperweek) AS min_hoursperweek\nFROM adultCensus\nGROUP BY race;","time":2.8847332001}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `race`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","question":"For each race, find the max of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find the maximum `hoursperweek` for each race in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT race, MAX(hoursperweek) AS max_hours_per_week\nFROM adultCensus\nGROUP BY race;\n``` \n\nThis query selects the race and the maximum number of hours worked per week, grouped by each race, from the `adultCensus` table.","cost":0.0000801,"response_parsed":"SELECT race, MAX(hoursperweek) AS max_hours_per_week\nFROM adultCensus\nGROUP BY race;","time":1.0615479946}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `race`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","question":"For each race, find the avg of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find the average of `hoursperweek` for each race in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT race, AVG(hoursperweek) AS avg_hours_per_week\nFROM adultCensus\nGROUP BY race;\n```","cost":0.0000627,"response_parsed":"SELECT race, AVG(hoursperweek) AS avg_hours_per_week\nFROM adultCensus\nGROUP BY race;","time":1.1247067451}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `race`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `race`","question":"For each race, find the sum of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to find the sum of `hoursperweek` for each race from the `adultCensus` table:\n\n```sql\nSELECT race, SUM(hoursperweek) AS total_hours_per_week\nFROM adultCensus\nGROUP BY race;\n```","cost":0.0000609,"response_parsed":"SELECT race, SUM(hoursperweek) AS total_hours_per_week\nFROM adultCensus\nGROUP BY race;","time":1.1479108334}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MIN","query":"SELECT `education`, MIN(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","question":"For each education, find the min of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the minimum of `hoursperweek` for each `education` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education, MIN(hoursperweek) AS min_hoursperweek\nFROM adultCensus\nGROUP BY education;\n``` \n\nThis SQL code groups the records by the `education` field and calculates the minimum value of `hoursperweek` for each education category.","cost":0.0000813,"response_parsed":"SELECT education, MIN(hoursperweek) AS min_hoursperweek\nFROM adultCensus\nGROUP BY education;","time":1.8767969608}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-MAX","query":"SELECT `education`, MAX(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","question":"For each education, find the max of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the maximum `hoursperweek` for each `education` from the `adultCensus` table:\n\n```sql\nSELECT education, MAX(hoursperweek) AS max_hours_per_week\nFROM adultCensus\nGROUP BY education;\n```","cost":0.0000615,"response_parsed":"SELECT education, MAX(hoursperweek) AS max_hours_per_week\nFROM adultCensus\nGROUP BY education;","time":1.5523622036}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-AVG","query":"SELECT `education`, AVG(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","question":"For each education, find the avg of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT education, AVG(hoursperweek) AS avg_hours_per_week\nFROM adultCensus\nGROUP BY education;\n```","cost":0.0000447,"response_parsed":"SELECT education, AVG(hoursperweek) AS avg_hours_per_week\nFROM adultCensus\nGROUP BY education;","time":1.2177743912}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"GROUPBY","sql_tag":"GROUPBY-AGG-SUM","query":"SELECT `education`, SUM(`hoursperweek`) FROM `adultCensus` GROUP BY `education`","question":"For each education, find the sum of hoursperweek in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To answer the question and compute the sum of `hoursperweek` grouped by `education` in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education, SUM(hoursperweek) AS total_hours_per_week\nFROM adultCensus\nGROUP BY education;\n```","cost":0.0000663,"response_parsed":"SELECT education, SUM(hoursperweek) AS total_hours_per_week\nFROM adultCensus\nGROUP BY education;","time":2.0169143677}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `gillcolor`, COUNT(*) FROM `mushrooms` GROUP BY `gillcolor`","question":"For each gillcolor, count the number of rows in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of rows in the `mushrooms` table grouped by `gillcolor`, you can use the following SQL code:\n\n```sql\nSELECT gillcolor, COUNT(*) AS count\nFROM mushrooms\nGROUP BY gillcolor;\n```","cost":0.0000594,"response_parsed":"SELECT gillcolor, COUNT(*) AS count\nFROM mushrooms\nGROUP BY gillcolor;","time":0.9920213223}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `bruises`, COUNT(*) FROM `mushrooms` GROUP BY `bruises`","question":"For each bruises, count the number of rows in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT bruises, COUNT(*) AS count\nFROM mushrooms\nGROUP BY bruises;\n``` \n\nThis query groups the rows by the `bruises` column and counts the number of occurrences for each unique value.","cost":0.00007665,"response_parsed":"SELECT bruises, COUNT(*) AS count\nFROM mushrooms\nGROUP BY bruises;","time":1.2976403236}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `gillsize`, COUNT(*) FROM `mushrooms` GROUP BY `gillsize`","question":"For each gillsize, count the number of rows in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT gillsize, COUNT(*) AS count\nFROM mushrooms\nGROUP BY gillsize;\n```","cost":0.000042,"response_parsed":"SELECT gillsize, COUNT(*) AS count\nFROM mushrooms\nGROUP BY gillsize;","time":0.6088678837}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `class`, COUNT(*) FROM `mushrooms` GROUP BY `class`","question":"For each class, count the number of rows in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of rows in the `mushrooms` table for each class, you can use the following SQL query:\n\n```sql\nSELECT class, COUNT(*) AS row_count\nFROM mushrooms\nGROUP BY class;\n```","cost":0.0000555,"response_parsed":"SELECT class, COUNT(*) AS row_count\nFROM mushrooms\nGROUP BY class;","time":0.832318306}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"GROUPBY","sql_tag":"GROUPBY-COUNT","query":"SELECT `capsurface`, COUNT(*) FROM `mushrooms` GROUP BY `capsurface`","question":"For each capsurface, count the number of rows in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capsurface, COUNT(*) as count\nFROM mushrooms\nGROUP BY capsurface;\n```","cost":0.00004065,"response_parsed":"SELECT capsurface, COUNT(*) as count\nFROM mushrooms\nGROUP BY capsurface;","time":0.6416900158}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) >= 10","question":"Find all the race that have at least 10 records in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the races that have at least 10 records in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT race\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) >= 10;\n```","cost":0.0000603,"response_parsed":"SELECT race\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) >= 10;","time":1.0458841324}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING count(*) <= 10","question":"Find all the race that have at most 10 records in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the races that have at most 10 records in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT race\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) <= 10;\n```","cost":0.0000603,"response_parsed":"SELECT race\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) <= 10;","time":1.5288181305}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) >= 4","question":"Find all the relationship that have at least 4 records in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch all the relationships that have at least 4 records in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) >= 4;\n```","cost":0.0000603,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) >= 4;","time":1.0608947277}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING count(*) <= 4","question":"Find all the relationship that have at most 4 records in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the relationships that have at most 4 records in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) <= 4;\n``` \n\nThis 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.","cost":0.0000795,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) <= 4;","time":2.506963253}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) >= 5","question":"Find all the maritalstatus that have at least 5 records in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the marital statuses that have at least 5 records in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT maritalstatus\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) >= 5;\n```","cost":0.00006225,"response_parsed":"SELECT maritalstatus\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) >= 5;","time":1.4427521229}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING count(*) <= 5","question":"Find all the maritalstatus that have at most 5 records in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the `maritalstatus` values that have at most 5 records in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT maritalstatus\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) <= 5;\n```","cost":0.00006465,"response_parsed":"SELECT maritalstatus\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) <= 5;","time":1.368363142}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) >= 42.72","question":"List the nativecountry which average of hoursperweek is at least 42.72 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the desired information:\n\n```sql\nSELECT nativecountry\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) >= 42.72;\n```","cost":0.0000546,"response_parsed":"SELECT nativecountry\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) >= 42.72;","time":1.1444337368}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING AVG(`hoursperweek`) <= 42.72","question":"List the nativecountry which average of hoursperweek is at most 42.72 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT nativecountry\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) <= 42.72;\n```","cost":0.0000696,"response_parsed":"SELECT nativecountry\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) <= 42.72;","time":1.4296576977}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) >= 270.33","question":"List the nativecountry which summation of hoursperweek is at least 270.33 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT nativecountry \nFROM adultCensus \nGROUP BY nativecountry \nHAVING SUM(hoursperweek) >= 270.33;\n```","cost":0.00004815,"response_parsed":"SELECT nativecountry \nFROM adultCensus \nGROUP BY nativecountry \nHAVING SUM(hoursperweek) >= 270.33;","time":3.8890023232}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING SUM(`hoursperweek`) <= 270.33","question":"List the nativecountry which summation of hoursperweek is at most 270.33 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to list the `nativecountry` where the summation of `hoursperweek` is at most 270.33 from the `adultCensus` table:\n\n```sql\nSELECT nativecountry\nFROM adultCensus\nGROUP BY nativecountry\nHAVING SUM(hoursperweek) <= 270.33;\n```","cost":0.00007095,"response_parsed":"SELECT nativecountry\nFROM adultCensus\nGROUP BY nativecountry\nHAVING SUM(hoursperweek) <= 270.33;","time":1.2862026691}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) >= 36.84","question":"List the relationship which average of hoursperweek is at least 36.84 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the relationships where the average of `hoursperweek` is at least 36.84 from the `adultCensus` table:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) >= 36.84;\n```","cost":0.00006705,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) >= 36.84;","time":1.14301157}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-AVG","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING AVG(`hoursperweek`) <= 36.84","question":"List the relationship which average of hoursperweek is at most 36.84 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) <= 36.84;\n```","cost":0.00006585,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) <= 36.84;","time":2.6400668621}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) >= 162.2","question":"List the relationship which summation of hoursperweek is at least 162.2 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) >= 162.2;\n```","cost":0.0000696,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) >= 162.2;","time":1.0801770687}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"HAVING","sql_tag":"HAVING-AGG-SUM","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING SUM(`hoursperweek`) <= 162.2","question":"List the relationship which summation of hoursperweek is at most 162.2 in table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) <= 162.2;\n```","cost":0.0000696,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) <= 162.2;","time":1.2687864304}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) >= 5","question":"Find all the capshape that have at least 5 records in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capshape\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) >= 5;\n```","cost":0.00004275,"response_parsed":"SELECT capshape\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) >= 5;","time":0.6871836185}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING count(*) <= 5","question":"Find all the capshape that have at most 5 records in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT capshape\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) <= 5;\n```","cost":0.00008235,"response_parsed":"SELECT capshape\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) <= 5;","time":1.8978476524}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) >= 6","question":"Find all the capsurface that have at least 6 records in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capsurface\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) >= 6;\n```","cost":0.00004275,"response_parsed":"SELECT capsurface\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) >= 6;","time":0.71788311}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING count(*) <= 6","question":"Find all the capsurface that have at most 6 records in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the `capsurface` values in the `mushrooms` table that have at most 6 records, you can use the following SQL code:\n\n```sql\nSELECT capsurface\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) <= 6;\n``` \n\nThis 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.","cost":0.00008655,"response_parsed":"SELECT capsurface\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) <= 6;","time":1.6050095558}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) >= 10","question":"Find all the class that have at least 10 records in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the classes in the `mushrooms` table that have at least 10 records, you can use the following SQL code:\n\n```sql\nSELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) >= 10;\n```","cost":0.0000588,"response_parsed":"SELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) >= 10;","time":1.2214734554}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"HAVING","sql_tag":"HAVING-COUNT","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING count(*) <= 10","question":"Find all the class that have at most 10 records in table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find all the classes in the `mushrooms` table that have at most 10 records, you can use the following SQL query:\n\n```sql\nSELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) <= 10;\n``` \n\nThis query groups the records by the `class` field and then filters the groups to include only those that contain 10 or fewer records.","cost":0.0000762,"response_parsed":"SELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) <= 10;","time":1.3975088596}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`)","question":"What are the workclass with all the maritalstatus in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the distinct combinations of workclass and maritalstatus from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT workclass, maritalstatus\nFROM adultCensus;\n```","cost":0.00005535,"response_parsed":"SELECT DISTINCT workclass, maritalstatus\nFROM adultCensus;","time":1.3124775887}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`)","question":"What are the workclass with all the race in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct workclasses along with all the races from the `adultCensus` table, you can utilize the following SQL query:\n\n```sql\nSELECT DISTINCT workclass, race \nFROM adultCensus;\n``` \n\nThis query selects unique combinations of `workclass` and `race` from the `adultCensus` table.","cost":0.000069,"response_parsed":"SELECT DISTINCT workclass, race \nFROM adultCensus;","time":1.4160220623}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`)","question":"What are the workclass with all the sex in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct `workclass` and all associated `sex` values from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT workclass, sex\nFROM adultCensus;\n``` \n\nThis query will return all unique combinations of `workclass` and `sex` present in the `adultCensus` table.","cost":0.0000732,"response_parsed":"SELECT DISTINCT workclass, sex\nFROM adultCensus;","time":1.5923018456}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`)","question":"What are the workclass with all the nativecountry in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the unique combinations of `workclass` and `nativecountry` from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT workclass, nativecountry\nFROM adultCensus;\n``` \n\nThis query selects distinct pairs of `workclass` and `nativecountry` from the `adultCensus` table, which answers the question about the combinations available in the specified fields.","cost":0.00008055,"response_parsed":"SELECT DISTINCT workclass, nativecountry\nFROM adultCensus;","time":2.7707881927}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `workclass` FROM `adultCensus` GROUP BY `workclass` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the workclass with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To answer the question about the workclass with all the income in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT workclass, income \nFROM adultCensus;\n``` \n\nThis query retrieves all unique combinations of `workclass` and `income` from the `adultCensus` table.","cost":0.0000702,"response_parsed":"SELECT DISTINCT workclass, income \nFROM adultCensus;","time":2.5238919258}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `maritalstatus`) = (SELECT COUNT(DISTINCT `maritalstatus`) FROM `adultCensus`)","question":"What are the education with all the maritalstatus in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch distinct education levels along with all marital statuses from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT education, maritalstatus\nFROM adultCensus;\n```","cost":0.000054,"response_parsed":"SELECT DISTINCT education, maritalstatus\nFROM adultCensus;","time":1.1097481251}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `relationship`) = (SELECT COUNT(DISTINCT `relationship`) FROM `adultCensus`)","question":"What are the education with all the relationship in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the unique education levels along with their associated relationships from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT education, relationship\nFROM adultCensus;\n``` \n\nThis SQL code will return all distinct combinations of education and relationship from the `adultCensus` table.","cost":0.00006705,"response_parsed":"SELECT DISTINCT education, relationship\nFROM adultCensus;","time":1.2882018089}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`)","question":"What are the education with all the race in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct education levels along with all the races from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT education, race\nFROM adultCensus;\n```","cost":0.00005385,"response_parsed":"SELECT DISTINCT education, race\nFROM adultCensus;","time":1.3055071831}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`)","question":"What are the education with all the sex in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct combinations of education and sex from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT education, sex\nFROM adultCensus;\n```","cost":0.00005265,"response_parsed":"SELECT DISTINCT education, sex\nFROM adultCensus;","time":0.8654406071}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `education` FROM `adultCensus` GROUP BY `education` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the education with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the education and income from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education, income\nFROM adultCensus;\n```","cost":0.00005025,"response_parsed":"SELECT education, income\nFROM adultCensus;","time":1.2228775024}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`)","question":"What are the maritalstatus with all the race in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct marital statuses along with all the races from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT maritalstatus, race\nFROM adultCensus;\n```","cost":0.0000546,"response_parsed":"SELECT DISTINCT maritalstatus, race\nFROM adultCensus;","time":1.24020648}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`)","question":"What are the maritalstatus with all the sex in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct marital statuses along with all corresponding sexes from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT maritalstatus, sex\nFROM adultCensus;\n```","cost":0.0000546,"response_parsed":"SELECT DISTINCT maritalstatus, sex\nFROM adultCensus;","time":4.080104351}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `maritalstatus` FROM `adultCensus` GROUP BY `maritalstatus` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the maritalstatus with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct marital statuses along with their corresponding income from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus, income\nFROM adultCensus;\n```","cost":0.000054,"response_parsed":"SELECT maritalstatus, income\nFROM adultCensus;","time":1.227540493}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`)","question":"What are the occupation with all the race in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the occupations along with all the distinct races from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT occupation, race\nFROM adultCensus;\n``` \n\nThis SQL code retrieves all unique combinations of `occupation` and `race` from the `adultCensus` table.","cost":0.00006825,"response_parsed":"SELECT DISTINCT occupation, race\nFROM adultCensus;","time":1.3354625702}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`)","question":"What are the occupation with all the sex in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct occupations along with associated sexes from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT occupation, sex \nFROM adultCensus;\n``` \n\nThis query selects the unique combinations of `occupation` and `sex` from the `adultCensus` table.","cost":0.00006705,"response_parsed":"SELECT DISTINCT occupation, sex \nFROM adultCensus;","time":1.4430520535}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `occupation` FROM `adultCensus` GROUP BY `occupation` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the occupation with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the occupations along with their corresponding income from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT occupation, income FROM adultCensus;\n```","cost":0.00005145,"response_parsed":"SELECT occupation, income FROM adultCensus;","time":0.8700330257}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `race`) = (SELECT COUNT(DISTINCT `race`) FROM `adultCensus`)","question":"What are the relationship with all the race in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve all the relationships associated with each race from the `adultCensus` table, you can utilize the following SQL query:\n\n```sql\nSELECT DISTINCT race, relationship \nFROM adultCensus;\n``` \n\nThis query selects distinct pairs of `race` and `relationship` from the `adultCensus` table, helping to identify all the unique relationships associated with each race.","cost":0.00007365,"response_parsed":"SELECT DISTINCT race, relationship \nFROM adultCensus;","time":1.450139761}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`)","question":"What are the relationship with all the sex in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the relationships associated with all the sexes in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT relationship, sex\nFROM adultCensus;\n``` \n\nThis query selects unique combinations of `relationship` and `sex` from the `adultCensus` table.","cost":0.00006645,"response_parsed":"SELECT DISTINCT relationship, sex\nFROM adultCensus;","time":1.8367235661}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `relationship` FROM `adultCensus` GROUP BY `relationship` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the relationship with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the relationships associated with all income levels in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT relationship, income \nFROM adultCensus;\n``` \n\nThis SQL code will return the `relationship` and `income` columns from the `adultCensus` table, showing the relationships categorized by income.","cost":0.00007065,"response_parsed":"SELECT relationship, income \nFROM adultCensus;","time":1.4164407253}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `sex`) = (SELECT COUNT(DISTINCT `sex`) FROM `adultCensus`)","question":"What are the race with all the sex in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To address the question of fetching races that have representatives of all sexes from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT race\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(DISTINCT sex) = 2;\n```\n\nIn this query:\n- We group the results by `race`.\n- 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.","cost":0.00010545,"response_parsed":"SELECT race\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(DISTINCT sex) = 2;","time":1.7492232323}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `nativecountry`) = (SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`)","question":"What are the race with all the nativecountry in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct races along with their corresponding native countries from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT race, nativecountry \nFROM adultCensus;\n``` \n\nThis query selects unique combinations of `race` and `nativecountry` from the `adultCensus` table.","cost":0.000069,"response_parsed":"SELECT DISTINCT race, nativecountry \nFROM adultCensus;","time":1.9246988297}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `race` FROM `adultCensus` GROUP BY `race` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the race with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct races along with their respective income from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT race, income \nFROM adultCensus;\n```","cost":0.00005325,"response_parsed":"SELECT DISTINCT race, income \nFROM adultCensus;","time":1.2842757702}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `sex` FROM `adultCensus` GROUP BY `sex` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the sex with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct sexes along with their associated income from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT sex, income\nFROM adultCensus;\n```","cost":0.00005325,"response_parsed":"SELECT DISTINCT sex, income\nFROM adultCensus;","time":1.2572085857}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `nativecountry` FROM `adultCensus` GROUP BY `nativecountry` HAVING COUNT(DISTINCT `income`) = (SELECT COUNT(DISTINCT `income`) FROM `adultCensus`)","question":"What are the nativecountry with all the income in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the unique `nativecountry` values along with their corresponding `income` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT nativecountry, income\nFROM adultCensus;\n``` \n\nThis SQL code will retrieve all unique combinations of `nativecountry` and `income` in the specified table.","cost":0.0000714,"response_parsed":"SELECT DISTINCT nativecountry, income\nFROM adultCensus;","time":1.4630658627}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`)","question":"What are the class with all the capsurface in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(DISTINCT capsurface) = (SELECT COUNT(DISTINCT capsurface) FROM mushrooms);\n```\n\nThis 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.","cost":0.0001281,"response_parsed":"SELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(DISTINCT capsurface) = (SELECT COUNT(DISTINCT capsurface) FROM mushrooms);","time":2.3657925129}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`)","question":"What are the class with all the capcolor in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To answer the question regarding the classes with all the unique cap colors in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms);\n```\n\nThis 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.","cost":0.0001023,"response_parsed":"SELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms);","time":2.3398120403}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`)","question":"What are the class with all the bruises in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the classes that have all the bruises in the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT class\nFROM mushrooms\nWHERE bruises = 't';  -- Assuming 't' denotes true for having bruises\n```\n\nThis 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.","cost":0.0000969,"response_parsed":"SELECT DISTINCT class\nFROM mushrooms\nWHERE bruises = 't';  -- Assuming 't' denotes true for having bruises","time":1.7289087772}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`)","question":"What are the class with all the gillattachment in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the classes with all the `gillattachment` values from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT class\nFROM mushrooms\nWHERE gillattachment IS NOT NULL;\n```\n\nThis 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.","cost":0.00008145,"response_parsed":"SELECT DISTINCT class\nFROM mushrooms\nWHERE gillattachment IS NOT NULL;","time":1.2888379097}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`)","question":"What are the class with all the gillspacing in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the unique classes with all the gillspacing information from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT class, gillspacing \nFROM mushrooms;\n``` \n\nThis 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.","cost":0.00008025,"response_parsed":"SELECT DISTINCT class, gillspacing \nFROM mushrooms;","time":2.2005951405}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `class` FROM `mushrooms` GROUP BY `class` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the class with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To answer the question about what are the classes with all the gillsize in the \"mushrooms\" table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT class, gillsize\nFROM mushrooms;\n```\n\nThis SQL query selects all distinct combinations of \"class\" and \"gillsize\" from the \"mushrooms\" table, providing you with the classes alongside their corresponding gillsizes.","cost":0.00007965,"response_parsed":"SELECT DISTINCT class, gillsize\nFROM mushrooms;","time":1.7575609684}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capsurface`) = (SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`)","question":"What are the capshape with all the capsurface in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT DISTINCT capshape, capsurface\nFROM mushrooms;\n```","cost":0.00006945,"response_parsed":"SELECT DISTINCT capshape, capsurface\nFROM mushrooms;","time":1.4325621128}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `capcolor`) = (SELECT COUNT(DISTINCT `capcolor`) FROM `mushrooms`)","question":"What are the capshape with all the capcolor in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct capshape along with all the corresponding capcolor from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capshape, capcolor\nFROM mushrooms;\n``` \n\nThis query retrieves unique combinations of `capshape` and `capcolor` present in the `mushrooms` table.","cost":0.00007065,"response_parsed":"SELECT DISTINCT capshape, capcolor\nFROM mushrooms;","time":1.2277216911}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`)","question":"What are the capshape with all the bruises in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct capshape values for mushrooms that have bruises from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capshape \nFROM mushrooms \nWHERE bruises = 'yes';\n```","cost":0.00005745,"response_parsed":"SELECT DISTINCT capshape \nFROM mushrooms \nWHERE bruises = 'yes';","time":1.754193306}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`)","question":"What are the capshape with all the gillattachment in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the `capshape` values with all unique `gillattachment` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capshape, gillattachment \nFROM mushrooms;\n```\n\nThis query selects distinct combinations of `capshape` and `gillattachment` from the `mushrooms` table.","cost":0.0000738,"response_parsed":"SELECT DISTINCT capshape, gillattachment \nFROM mushrooms;","time":4.8187201023}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`)","question":"What are the capshape with all the gillspacing in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the unique combinations of `capshape` and `gillspacing` from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT capshape, gillspacing \nFROM mushrooms;\n```","cost":0.0000576,"response_parsed":"SELECT DISTINCT capshape, gillspacing \nFROM mushrooms;","time":0.9530389309}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capshape` FROM `mushrooms` GROUP BY `capshape` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the capshape with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct `capshape` values along with all corresponding `gillsize` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capshape, gillsize\nFROM mushrooms;\n```","cost":0.0000594,"response_parsed":"SELECT DISTINCT capshape, gillsize\nFROM mushrooms;","time":1.5027463436}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`)","question":"What are the capsurface with all the bruises in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"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:\n\n```sql\nSELECT capsurface \nFROM mushrooms \nWHERE bruises = 'yes';\n```\n\nThis 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.","cost":0.00009765,"response_parsed":"SELECT capsurface \nFROM mushrooms \nWHERE bruises = 'yes';","time":2.7328448296}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`)","question":"What are the capsurface with all the gillattachment in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the `capsurface` with all the `gillattachment` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface, gillattachment\nFROM mushrooms;\n```","cost":0.0000564,"response_parsed":"SELECT capsurface, gillattachment\nFROM mushrooms;","time":0.6809909344}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`)","question":"What are the capsurface with all the gillspacing in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the desired information about the `capsurface` with all the `gillspacing` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capsurface, gillspacing\nFROM mushrooms;\n```","cost":0.0000594,"response_parsed":"SELECT DISTINCT capsurface, gillspacing\nFROM mushrooms;","time":0.8016138077}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capsurface` FROM `mushrooms` GROUP BY `capsurface` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the capsurface with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To answer the question about obtaining all unique combinations of `capsurface` and `gillsize` from the `mushrooms` table, the SQL code would be as follows:\n\n```sql\nSELECT DISTINCT capsurface, gillsize \nFROM mushrooms;\n```","cost":0.00006,"response_parsed":"SELECT DISTINCT capsurface, gillsize \nFROM mushrooms;","time":1.409819603}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `bruises`) = (SELECT COUNT(DISTINCT `bruises`) FROM `mushrooms`)","question":"What are the capcolor with all the bruises in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct cap colors of mushrooms with bruises from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT capcolor \nFROM mushrooms \nWHERE bruises = 'yes';\n``` \n\nThis 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').","cost":0.00008025,"response_parsed":"SELECT DISTINCT capcolor \nFROM mushrooms \nWHERE bruises = 'yes';","time":1.8619310856}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`)","question":"What are the capcolor with all the gillattachment in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct `capcolor` and `gillattachment` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capcolor, gillattachment \nFROM mushrooms;\n``` \n\nThis query will return all unique combinations of `capcolor` and `gillattachment` present in the `mushrooms` table.","cost":0.0000738,"response_parsed":"SELECT DISTINCT capcolor, gillattachment \nFROM mushrooms;","time":1.9624824524}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`)","question":"What are the capcolor with all the gillspacing in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct `capcolor` along with all the `gillspacing` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capcolor, gillspacing \nFROM mushrooms;\n``` \n\nThis query retrieves all unique combinations of `capcolor` and `gillspacing` from the `mushrooms` table.","cost":0.000075,"response_parsed":"SELECT DISTINCT capcolor, gillspacing \nFROM mushrooms;","time":2.3011906147}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `capcolor` FROM `mushrooms` GROUP BY `capcolor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the capcolor with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch all unique combinations of `capcolor` and `gillsize` from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT capcolor, gillsize\nFROM mushrooms;\n```","cost":0.0000576,"response_parsed":"SELECT DISTINCT capcolor, gillsize\nFROM mushrooms;","time":0.8581535816}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`)","question":"What are the bruises with all the gillattachment in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the bruises with all the gillattachment from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT bruises, gillattachment\nFROM mushrooms\nWHERE gillattachment IS NOT NULL;\n``` \n\nThis 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.","cost":0.0000996,"response_parsed":"SELECT bruises, gillattachment\nFROM mushrooms\nWHERE gillattachment IS NOT NULL;","time":1.960837841}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`)","question":"What are the bruises with all the gillspacing in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the bruises with all the gillspacing in the mushrooms table:\n\n```sql\nSELECT bruises, gillspacing \nFROM mushrooms;\n```","cost":0.0000498,"response_parsed":"SELECT bruises, gillspacing \nFROM mushrooms;","time":1.1355485916}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `bruises` FROM `mushrooms` GROUP BY `bruises` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the bruises with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the bruises along with all the gill size from the `mushrooms` table, you can execute the following SQL code:\n\n```sql\nSELECT bruises, gillsize\nFROM mushrooms;\n```","cost":0.0000546,"response_parsed":"SELECT bruises, gillsize\nFROM mushrooms;","time":0.8073191643}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillattachment`) = (SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`)","question":"What are the odor with all the gillattachment in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct odors associated with all gill attachments in the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT odor \nFROM mushrooms \nWHERE gillattachment IS NOT NULL;\n``` \n\nThis query selects distinct values of the `odor` column from the `mushrooms` table, ensuring that it only includes records where the `gillattachment` is not null.","cost":0.00007905,"response_parsed":"SELECT DISTINCT odor \nFROM mushrooms \nWHERE gillattachment IS NOT NULL;","time":1.2009270191}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`)","question":"What are the odor with all the gillspacing in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the distinct odors associated with all gillspacing values from the `mushrooms` table, you can execute the following SQL query:\n\n```sql\nSELECT DISTINCT odor, gillspacing \nFROM mushrooms;\n``` \n\nThis query fetches unique combinations of `odor` and `gillspacing` from the `mushrooms` table.","cost":0.00007005,"response_parsed":"SELECT DISTINCT odor, gillspacing \nFROM mushrooms;","time":1.2006611824}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `odor` FROM `mushrooms` GROUP BY `odor` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the odor with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct odors along with all the gill sizes from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT odor, gillsize\nFROM mushrooms;\n```","cost":0.00005445,"response_parsed":"SELECT DISTINCT odor, gillsize\nFROM mushrooms;","time":1.3601109982}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillspacing`) = (SELECT COUNT(DISTINCT `gillspacing`) FROM `mushrooms`)","question":"What are the gillattachment with all the gillspacing in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the `gillattachment` with all the corresponding `gillspacing` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillattachment, gillspacing \nFROM mushrooms;\n```","cost":0.00005835,"response_parsed":"SELECT gillattachment, gillspacing \nFROM mushrooms;","time":0.8663833141}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `gillattachment` FROM `mushrooms` GROUP BY `gillattachment` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the gillattachment with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the distinct `gillattachment` along with all corresponding `gillsize` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillattachment, gillsize\nFROM mushrooms;\n```\n\nThis 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:\n\n```sql\nSELECT DISTINCT gillattachment, gillsize\nFROM mushrooms;\n```","cost":0.00010335,"response_parsed":"SELECT DISTINCT gillattachment, gillsize\nFROM mushrooms;","time":3.1387786865}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillsize`) = (SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`)","question":"What are the gillspacing with all the gillsize in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the `gillspacing` along with all the `gillsize` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillspacing, gillsize\nFROM mushrooms;\n```","cost":0.00005895,"response_parsed":"SELECT gillspacing, gillsize\nFROM mushrooms;","time":1.1556146145}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"many-to-many-generator","sql_tag":"many-to-many","query":"SELECT `gillspacing` FROM `mushrooms` GROUP BY `gillspacing` HAVING COUNT(DISTINCT `gillcolor`) = (SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`)","question":"What are the gillspacing with all the gillcolor in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the unique combinations of `gillspacing` and `gillcolor` from the `mushrooms` table, you can execute the following SQL code:\n\n```sql\nSELECT DISTINCT gillspacing, gillcolor\nFROM mushrooms;\n``` \n\nThis query selects distinct pairs of `gillspacing` and `gillcolor` from the `mushrooms` table.","cost":0.00007515,"response_parsed":"SELECT DISTINCT gillspacing, gillcolor\nFROM mushrooms;","time":1.7999219894}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `adultCensus` ORDER BY `hoursperweek` ASC","question":"Show all data ordered by hoursperweek in ascending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus\nORDER BY hoursperweek ASC;\n```","cost":0.00003945,"response_parsed":"SELECT * FROM adultCensus\nORDER BY hoursperweek ASC;","time":0.4023170471}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `adultCensus` ORDER BY `hoursperweek` DESC","question":"Show all data ordered by hoursperweek in descending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch all data from the `adultCensus` table ordered by `hoursperweek` in descending order:\n\n```sql\nSELECT *\nFROM adultCensus\nORDER BY hoursperweek DESC;\n```","cost":0.00005625,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY hoursperweek DESC;","time":1.1473531723}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `adultCensus` ORDER BY `income` ASC","question":"Show all data ordered by income in ascending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus\nORDER BY income ASC;\n```","cost":0.00003795,"response_parsed":"SELECT * FROM adultCensus\nORDER BY income ASC;","time":0.6659693718}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `adultCensus` ORDER BY `income` DESC","question":"Show all data ordered by income in descending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus ORDER BY income DESC;\n```","cost":0.00003735,"response_parsed":"SELECT * FROM adultCensus ORDER BY income DESC;","time":0.5662293434}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` ASC","question":"Project the maritalstatus ordered in ascending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT maritalstatus\nFROM adultCensus\nORDER BY maritalstatus ASC;\n```","cost":0.0000396,"response_parsed":"SELECT maritalstatus\nFROM adultCensus\nORDER BY maritalstatus ASC;","time":0.465542078}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `maritalstatus` FROM `adultCensus` ORDER BY `maritalstatus` DESC","question":"Project the maritalstatus ordered in descending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to project the `maritalstatus` ordered in descending order from the `adultCensus` table:\n\n```sql\nSELECT maritalstatus\nFROM adultCensus\nORDER BY maritalstatus DESC;\n```","cost":0.0000552,"response_parsed":"SELECT maritalstatus\nFROM adultCensus\nORDER BY maritalstatus DESC;","time":0.8523418903}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` ASC","question":"Project the relationship ordered in ascending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To project the `relationship` column from the `adultCensus` table and order the results in ascending order, you can use the following SQL code:\n\n```sql\nSELECT relationship\nFROM adultCensus\nORDER BY relationship ASC;\n```","cost":0.00005685,"response_parsed":"SELECT relationship\nFROM adultCensus\nORDER BY relationship ASC;","time":1.1199946404}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `relationship` FROM `adultCensus` ORDER BY `relationship` DESC","question":"Project the relationship ordered in descending order for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To project the \"relationship\" column from the `adultCensus` table and order it in descending order, you can use the following SQL code:\n\n```sql\nSELECT relationship\nFROM adultCensus\nORDER BY relationship DESC;\n```","cost":0.00005625,"response_parsed":"SELECT relationship\nFROM adultCensus\nORDER BY relationship DESC;","time":0.9999539852}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `mushrooms` ORDER BY `class` ASC","question":"Show all data ordered by class in ascending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms\nORDER BY class ASC;\n```","cost":0.00003645,"response_parsed":"SELECT * FROM mushrooms\nORDER BY class ASC;","time":0.6901297569}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `mushrooms` ORDER BY `class` DESC","question":"Show all data ordered by class in descending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch all data from the `mushrooms` table ordered by the `class` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms\nORDER BY class DESC;\n```","cost":0.00005505,"response_parsed":"SELECT * FROM mushrooms\nORDER BY class DESC;","time":1.7975301743}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `mushrooms` ORDER BY `gillattachment` ASC","question":"Show all data ordered by gillattachment in ascending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT *\nFROM mushrooms\nORDER BY gillattachment ASC;\n```","cost":0.00003795,"response_parsed":"SELECT *\nFROM mushrooms\nORDER BY gillattachment ASC;","time":0.7418727875}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-SINGLE","query":"SELECT * FROM `mushrooms` ORDER BY `gillattachment` DESC","question":"Show all data ordered by gillattachment in descending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch all data from the `mushrooms` table ordered by `gillattachment` in descending order:\n\n```sql\nSELECT * FROM mushrooms\nORDER BY gillattachment DESC;\n```","cost":0.00005475,"response_parsed":"SELECT * FROM mushrooms\nORDER BY gillattachment DESC;","time":0.8335444927}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` ASC","question":"Project the gillspacing ordered in ascending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT gillspacing \nFROM mushrooms \nORDER BY gillspacing ASC;\n```","cost":0.00003945,"response_parsed":"SELECT gillspacing \nFROM mushrooms \nORDER BY gillspacing ASC;","time":0.5834507942}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `gillspacing` FROM `mushrooms` ORDER BY `gillspacing` DESC","question":"Project the gillspacing ordered in descending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the ordered gillspacing from the `mushrooms` table in descending order, you can use the following SQL code:\n\n```sql\nSELECT gillspacing\nFROM mushrooms\nORDER BY gillspacing DESC;\n```","cost":0.00005565,"response_parsed":"SELECT gillspacing\nFROM mushrooms\nORDER BY gillspacing DESC;","time":1.1992855072}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` ASC","question":"Project the capcolor ordered in ascending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the ordered list of `capcolor` from the `mushrooms` table in ascending order, you can use the following SQL code:\n\n```sql\nSELECT capcolor\nFROM mushrooms\nORDER BY capcolor ASC;\n```","cost":0.0000561,"response_parsed":"SELECT capcolor\nFROM mushrooms\nORDER BY capcolor ASC;","time":1.0873894691}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"ORDERBY","sql_tag":"ORDERBY-PROJECT","query":"SELECT `capcolor` FROM `mushrooms` ORDER BY `capcolor` DESC","question":"Project the capcolor ordered in descending order for the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capcolor \nFROM mushrooms \nORDER BY capcolor DESC;\n```","cost":0.0000381,"response_parsed":"SELECT capcolor \nFROM mushrooms \nORDER BY capcolor DESC;","time":0.9223906994}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `sex` FROM `adultCensus`","question":"Show all sex in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch all unique entries for the \"sex\" column from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT sex FROM adultCensus;\n```","cost":0.00005145,"response_parsed":"SELECT DISTINCT sex FROM adultCensus;","time":0.9352989197}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `hoursperweek` FROM `adultCensus`","question":"Show all hoursperweek in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT hoursperweek FROM adultCensus;\n```","cost":0.00003555,"response_parsed":"SELECT hoursperweek FROM adultCensus;","time":0.5357599258}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `workclass` FROM `adultCensus`","question":"Show all workclass in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT DISTINCT workclass FROM adultCensus;\n```","cost":0.0000354,"response_parsed":"SELECT DISTINCT workclass FROM adultCensus;","time":0.6103830338}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `maritalstatus` FROM `adultCensus`","question":"Show all maritalstatus in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To show all unique marital statuses in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT maritalstatus FROM adultCensus;\n```","cost":0.0000492,"response_parsed":"SELECT DISTINCT maritalstatus FROM adultCensus;","time":0.8649795055}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `education` FROM `adultCensus`","question":"Show all education in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT education FROM adultCensus;\n```","cost":0.00003405,"response_parsed":"SELECT education FROM adultCensus;","time":0.8267664909}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `adultCensus`","question":"Show all the rows in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus;\n```","cost":0.0000342,"response_parsed":"SELECT * FROM adultCensus;","time":0.511223793}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `maritalstatus` FROM `adultCensus`","question":"Show all maritalstatus in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT DISTINCT maritalstatus\nFROM adultCensus;\n```","cost":0.000036,"response_parsed":"SELECT DISTINCT maritalstatus\nFROM adultCensus;","time":0.7890744209}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `race`, `nativecountry` FROM `adultCensus`","question":"Show all race, nativecountry in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT race, nativecountry FROM adultCensus;\n```","cost":0.0000363,"response_parsed":"SELECT race, nativecountry FROM adultCensus;","time":0.5603842735}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `nativecountry`, `occupation`, `race` FROM `adultCensus`","question":"Show all nativecountry, occupation, race in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT nativecountry, occupation, race FROM adultCensus;\n```","cost":0.0000378,"response_parsed":"SELECT nativecountry, occupation, race FROM adultCensus;","time":0.5207953453}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `occupation`, `income`, `education`, `race` FROM `adultCensus`","question":"Show all occupation, income, education, race in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT occupation, income, education, race\nFROM adultCensus;\n```","cost":0.00003915,"response_parsed":"SELECT occupation, income, education, race\nFROM adultCensus;","time":1.0417084694}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `occupation`, `race`, `relationship`, `workclass`, `maritalstatus` FROM `adultCensus`","question":"Show all occupation, race, relationship, workclass, maritalstatus in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the required data from the `adultCensus` table:\n\n```sql\nSELECT occupation, race, relationship, workclass, maritalstatus\nFROM adultCensus;\n```","cost":0.00005355,"response_parsed":"SELECT occupation, race, relationship, workclass, maritalstatus\nFROM adultCensus;","time":0.711420536}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education` FROM `adultCensus`","question":"Show all sex, nativecountry, race, workclass, relationship, education in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the specified columns from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT sex, nativecountry, race, workclass, relationship, education \nFROM adultCensus;\n```","cost":0.00005685,"response_parsed":"SELECT sex, nativecountry, race, workclass, relationship, education \nFROM adultCensus;","time":1.0727262497}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, `relationship` FROM `adultCensus`","question":"Show all income, education, sex, race, maritalstatus, occupation, relationship in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the desired information from the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT income, education, sex, race, maritalstatus, occupation, relationship \nFROM adultCensus;\n```","cost":0.0000576,"response_parsed":"SELECT income, education, sex, race, maritalstatus, occupation, relationship \nFROM adultCensus;","time":1.1079692841}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `maritalstatus`, `relationship`, `workclass`, `sex`, `nativecountry`, `hoursperweek`, `income`, `education` FROM `adultCensus`","question":"Show all maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education \nFROM adultCensus;\n```","cost":0.0000489,"response_parsed":"SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education \nFROM adultCensus;","time":1.0152318478}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `hoursperweek`, `race`, `maritalstatus`, `sex`, `relationship`, `nativecountry`, `income`, `occupation`, `workclass` FROM `adultCensus`","question":"Show all hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass in the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the specified columns from the `adultCensus` table:\n\n```sql\nSELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass\nFROM adultCensus;\n```","cost":0.0000618,"response_parsed":"SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass\nFROM adultCensus;","time":1.6244962215}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `odor` FROM `mushrooms`","question":"Show all odor in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To show all unique odors in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT odor FROM mushrooms;\n```","cost":0.00004635,"response_parsed":"SELECT DISTINCT odor FROM mushrooms;","time":0.8790857792}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `gillspacing` FROM `mushrooms`","question":"Show all gillspacing in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT gillspacing FROM mushrooms;\n```","cost":0.00003405,"response_parsed":"SELECT gillspacing FROM mushrooms;","time":0.675637722}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `capshape` FROM `mushrooms`","question":"Show all capshape in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT DISTINCT capshape FROM mushrooms;\n```","cost":0.0000339,"response_parsed":"SELECT DISTINCT capshape FROM mushrooms;","time":0.5562255383}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `capsurface` FROM `mushrooms`","question":"Show all capsurface in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch all the distinct values of `capsurface` from the `mushrooms` table, you can use the following SQL code:\n\n```sql\nSELECT DISTINCT capsurface FROM mushrooms;\n```","cost":0.0000507,"response_parsed":"SELECT DISTINCT capsurface FROM mushrooms;","time":0.9867463112}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-SINGLE-COL","query":"SELECT `bruises` FROM `mushrooms`","question":"Show all bruises in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch all rows from the \"mushrooms\" table where the bruises attribute is present, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM mushrooms\nWHERE bruises = 'yes';\n``` \n\nThis 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.","cost":0.0000825,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE bruises = 'yes';","time":1.3825452328}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-ALL","query":"SELECT * FROM `mushrooms`","question":"Show all the rows in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms;\n```","cost":0.0000327,"response_parsed":"SELECT * FROM mushrooms;","time":0.5458269119}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `gillspacing` FROM `mushrooms`","question":"Show all gillspacing in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT gillspacing FROM mushrooms;\n```","cost":0.00003405,"response_parsed":"SELECT gillspacing FROM mushrooms;","time":0.2972919941}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `odor`, `class` FROM `mushrooms`","question":"Show all odor, class in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT odor, class FROM mushrooms;\n```","cost":0.00003405,"response_parsed":"SELECT odor, class FROM mushrooms;","time":0.5138401985}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `capcolor`, `gillattachment`, `gillspacing` FROM `mushrooms`","question":"Show all capcolor, gillattachment, gillspacing in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capcolor, gillattachment, gillspacing FROM mushrooms;\n```","cost":0.0000393,"response_parsed":"SELECT capcolor, gillattachment, gillspacing FROM mushrooms;","time":0.7809841633}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `capsurface`, `gillcolor`, `odor`, `gillattachment` FROM `mushrooms`","question":"Show all capsurface, gillcolor, odor, gillattachment in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms;\n```","cost":0.0000408,"response_parsed":"SELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms;","time":0.6253995895}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `odor`, `gillcolor`, `bruises`, `gillsize`, `gillattachment` FROM `mushrooms`","question":"Show all odor, gillcolor, bruises, gillsize, gillattachment in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT odor, gillcolor, bruises, gillsize, gillattachment \nFROM mushrooms;\n```","cost":0.0000444,"response_parsed":"SELECT odor, gillcolor, bruises, gillsize, gillattachment \nFROM mushrooms;","time":1.0223770142}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor` FROM `mushrooms`","question":"Show all capsurface, class, odor, gillcolor, bruises, capcolor in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the specified columns from the \"mushrooms\" table:\n\n```sql\nSELECT capsurface, class, odor, gillcolor, bruises, capcolor\nFROM mushrooms;\n```","cost":0.0000558,"response_parsed":"SELECT capsurface, class, odor, gillcolor, bruises, capcolor\nFROM mushrooms;","time":0.6377675533}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises` FROM `mushrooms`","question":"Show all gillattachment, gillspacing, capshape, class, capsurface, odor, bruises in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the specified columns from the \"mushrooms\" table, you can use the following SQL code:\n\n```sql\nSELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises\nFROM mushrooms;\n```","cost":0.0000606,"response_parsed":"SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises\nFROM mushrooms;","time":1.1451628208}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class` FROM `mushrooms`","question":"Show all capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class\nFROM mushrooms;\n```","cost":0.0000504,"response_parsed":"SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class\nFROM mushrooms;","time":1.1426072121}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"PROJECT","sql_tag":"SELECT-RANDOM-COL","query":"SELECT `capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor` FROM `mushrooms`","question":"Show all capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor in the table mushrooms","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor\nFROM mushrooms;\n```","cost":0.00005265,"response_parsed":"SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor\nFROM mushrooms;","time":0.7527866364}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `relationship` == 'Husband'","question":"Show the data of the table adultCensus where relationship is equal to Husband","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the data from the `adultCensus` table where the `relationship` is equal to 'Husband', you can use the following SQL code:\n\n```sql\nSELECT * FROM adultCensus WHERE relationship = 'Husband';\n```","cost":0.00005775,"response_parsed":"SELECT * FROM adultCensus WHERE relationship = 'Husband';","time":0.9215369225}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `relationship` != 'Own-child'","question":"Show the data of the table adultCensus where relationship is different from Own-child","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the data from the `adultCensus` table where the relationship is different from \"Own-child\", you can use the following SQL code:\n\n```sql\nSELECT *\nFROM adultCensus\nWHERE relationship <> 'Own-child';\n```","cost":0.0000573,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE relationship <> 'Own-child';","time":0.9397587776}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `relationship` != 'Wife'","question":"Show the data of the table adultCensus where relationship not equal to Wife","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the data from the `adultCensus` table where the `relationship` is not equal to 'Wife', you can use the following SQL code:\n\n```sql\nSELECT *\nFROM adultCensus\nWHERE relationship != 'Wife';\n```","cost":0.00005895,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE relationship != 'Wife';","time":0.9219903946}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `education` == 'Some-college'","question":"Show the data of the table adultCensus where education is equal to Some-college","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus WHERE education = 'Some-college';\n```","cost":0.00003945,"response_parsed":"SELECT * FROM adultCensus WHERE education = 'Some-college';","time":0.415769577}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `education` != '10th'","question":"Show the data of the table adultCensus where education is different from 10th","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus WHERE education != '10th';\n```","cost":0.00003885,"response_parsed":"SELECT * FROM adultCensus WHERE education != '10th';","time":0.379224062}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `education` != 'Masters'","question":"Show the data of the table adultCensus where education not equal to Masters","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus WHERE education != 'Masters';\n```","cost":0.00003795,"response_parsed":"SELECT * FROM adultCensus WHERE education != 'Masters';","time":0.7939441204}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `nativecountry` == 'Germany'","question":"Show the data of the table adultCensus where nativecountry is equal to Germany","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus WHERE nativecountry = 'Germany';\n```","cost":0.0000387,"response_parsed":"SELECT * FROM adultCensus WHERE nativecountry = 'Germany';","time":0.7066204548}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `nativecountry` != 'United-States'","question":"Show the data of the table adultCensus where nativecountry is different from United-States","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `adultCensus` table where `nativecountry` is different from 'United-States':\n\n```sql\nSELECT * FROM adultCensus WHERE nativecountry != 'United-States';\n```","cost":0.0000582,"response_parsed":"SELECT * FROM adultCensus WHERE nativecountry != 'United-States';","time":1.0104444027}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `adultCensus` WHERE `nativecountry` != 'Mexico'","question":"Show the data of the table adultCensus where nativecountry not equal to Mexico","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus WHERE nativecountry <> 'Mexico';\n```","cost":0.0000387,"response_parsed":"SELECT * FROM adultCensus WHERE nativecountry <> 'Mexico';","time":0.5145545006}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `adultCensus` WHERE `hoursperweek` > 40","question":"Show the data of the table adultCensus where hoursperweek is greater than 40","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT *\nFROM adultCensus\nWHERE hoursperweek > 40;\n```","cost":0.0000402,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE hoursperweek > 40;","time":0.6842558384}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SELECT","sql_tag":"WHERE-NUM","query":"SELECT * FROM `adultCensus` WHERE `hoursperweek` < 60","question":"Show the data of the table adultCensus where hoursperweek is less than 60","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM adultCensus WHERE hoursperweek < 60;\n```","cost":0.0000396,"response_parsed":"SELECT * FROM adultCensus WHERE hoursperweek < 60;","time":0.5655441284}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `gillattachment` == 'attached'","question":"Show the data of the table mushrooms where gillattachment is equal to attached","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE gillattachment = 'attached';\n```","cost":0.00003795,"response_parsed":"SELECT * FROM mushrooms WHERE gillattachment = 'attached';","time":0.3863329887}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `gillattachment` != 'attached'","question":"Show the data of the table mushrooms where gillattachment is different from attached","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE gillattachment <> 'attached';\n```","cost":0.00003795,"response_parsed":"SELECT * FROM mushrooms WHERE gillattachment <> 'attached';","time":0.5068943501}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `gillattachment` != 'free'","question":"Show the data of the table mushrooms where gillattachment not equal to free","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE gillattachment != 'free';\n```","cost":0.00003795,"response_parsed":"SELECT * FROM mushrooms WHERE gillattachment != 'free';","time":0.5643935204}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `gillsize` == 'narrow'","question":"Show the data of the table mushrooms where gillsize is equal to narrow","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE gillsize = 'narrow';\n```","cost":0.00003855,"response_parsed":"SELECT * FROM mushrooms WHERE gillsize = 'narrow';","time":0.8448953629}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow'","question":"Show the data of the table mushrooms where gillsize is different from narrow","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE gillsize <> 'narrow';\n```","cost":0.00003855,"response_parsed":"SELECT * FROM mushrooms WHERE gillsize <> 'narrow';","time":0.6764945984}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `gillsize` != 'narrow'","question":"Show the data of the table mushrooms where gillsize not equal to narrow","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE gillsize <> 'narrow';\n```","cost":0.00003855,"response_parsed":"SELECT * FROM mushrooms WHERE gillsize <> 'narrow';","time":0.7230012417}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `bruises` == 'no'","question":"Show the data of the table mushrooms where bruises is equal to no","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"Here is the SQL code to fetch the data from the `mushrooms` table where the `bruises` column is equal to 'no':\n\n```sql\nSELECT * FROM mushrooms WHERE bruises = 'no';\n```","cost":0.0000558,"response_parsed":"SELECT * FROM mushrooms WHERE bruises = 'no';","time":0.6816914082}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `bruises` != 'no'","question":"Show the data of the table mushrooms where bruises is different from no","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE bruises != 'no';\n```","cost":0.0000372,"response_parsed":"SELECT * FROM mushrooms WHERE bruises != 'no';","time":0.9364564419}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SELECT","sql_tag":"WHERE-CAT","query":"SELECT * FROM `mushrooms` WHERE `bruises` != 'no'","question":"Show the data of the table mushrooms where bruises not equal to no","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT * FROM mushrooms WHERE bruises != 'no';\n```","cost":0.0000372,"response_parsed":"SELECT * FROM mushrooms WHERE bruises != 'no';","time":1.1522462368}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `race`) FROM `adultCensus`","question":"How many different race are in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the number of different races in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT race) AS different_races\nFROM adultCensus;\n```","cost":0.0000546,"response_parsed":"SELECT COUNT(DISTINCT race) AS different_races\nFROM adultCensus;","time":0.7795419693}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `nativecountry`) FROM `adultCensus`","question":"How many different nativecountry are in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of different `nativecountry` entries in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT nativecountry) AS different_native_countries\nFROM adultCensus;\n```","cost":0.00005835,"response_parsed":"SELECT COUNT(DISTINCT nativecountry) AS different_native_countries\nFROM adultCensus;","time":1.3232350349}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `workclass`) FROM `adultCensus`","question":"How many different workclass are in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To fetch the number of different workclasses in the `adultCensus` table, you can use the following SQL code:\n\n```sql\nSELECT COUNT(DISTINCT workclass) AS different_workclass_count\nFROM adultCensus;\n```","cost":0.00005655,"response_parsed":"SELECT COUNT(DISTINCT workclass) AS different_workclass_count\nFROM adultCensus;","time":1.2967734337}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `education`) FROM `adultCensus`","question":"How many different education are in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find out how many different education levels are present in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT education) AS different_education_count\nFROM adultCensus;\n``` \n\nThis will count the number of unique values in the `education` column of the `adultCensus` table.","cost":0.0000714,"response_parsed":"SELECT COUNT(DISTINCT education) AS different_education_count\nFROM adultCensus;","time":1.8634991646}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `income`) FROM `adultCensus`","question":"How many different income are in table adultCensus?","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of different income categories in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT income) AS different_income_count\nFROM adultCensus;\n```","cost":0.0000552,"response_parsed":"SELECT COUNT(DISTINCT income) AS different_income_count\nFROM adultCensus;","time":3.0208849907}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MAX","query":"SELECT MAX(`hoursperweek`) FROM `adultCensus`","question":"Find the maximum hoursperweek for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT MAX(hoursperweek) AS max_hours_per_week\nFROM adultCensus;\n```","cost":0.0000405,"response_parsed":"SELECT MAX(hoursperweek) AS max_hours_per_week\nFROM adultCensus;","time":0.7915172577}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-MIN","query":"SELECT MIN(`hoursperweek`) FROM `adultCensus`","question":"Find the minimum hoursperweek for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT MIN(hoursperweek) AS minimum_hours_per_week\nFROM adultCensus;\n```","cost":0.0000405,"response_parsed":"SELECT MIN(hoursperweek) AS minimum_hours_per_week\nFROM adultCensus;","time":0.7841854095}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"adultCensus","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-AVG","query":"SELECT AVG(`hoursperweek`) FROM `adultCensus`","question":"Find the average hoursperweek for the table adultCensus","db_schema_normalized":"`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT AVG(hoursperweek) AS average_hours_per_week\nFROM adultCensus;\n```","cost":0.0000405,"response_parsed":"SELECT AVG(hoursperweek) AS average_hours_per_week\nFROM adultCensus;","time":0.7964420319}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `capsurface`) FROM `mushrooms`","question":"How many different capsurface are in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To find the number of different `capsurface` values in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT capsurface) AS unique_capsurface_count\nFROM mushrooms;\n```","cost":0.00005685,"response_parsed":"SELECT COUNT(DISTINCT capsurface) AS unique_capsurface_count\nFROM mushrooms;","time":0.6993815899}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `gillattachment`) FROM `mushrooms`","question":"How many different gillattachment are in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"```sql\nSELECT COUNT(DISTINCT gillattachment) AS different_gillattachments\nFROM mushrooms;\n```","cost":0.0000408,"response_parsed":"SELECT COUNT(DISTINCT gillattachment) AS different_gillattachments\nFROM mushrooms;","time":0.6841771603}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `odor`) FROM `mushrooms`","question":"How many different odor are in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To count the number of different odors in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT odor) AS different_odors FROM mushrooms;\n```","cost":0.0000525,"response_parsed":"SELECT COUNT(DISTINCT odor) AS different_odors FROM mushrooms;","time":1.0260941982}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `gillsize`) FROM `mushrooms`","question":"How many different gillsize are in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the number of different `gillsize` values in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT gillsize) AS different_gillsize_count\nFROM mushrooms;\n```","cost":0.0000588,"response_parsed":"SELECT COUNT(DISTINCT gillsize) AS different_gillsize_count\nFROM mushrooms;","time":1.2169730663}}
+{"db_path":"QATCH-journal\/proprietary\/QA\/LLama2_QA\/miscellaneous\/miscellaneous.sqlite","db_id":"miscellaneous","tbl_name":"mushrooms","test_category":"SIMPLE-AGG","sql_tag":"SIMPLE-AGG-COUNT-DISTINCT","query":"SELECT COUNT(DISTINCT `gillcolor`) FROM `mushrooms`","question":"How many different gillcolor are in table mushrooms?","db_schema_normalized":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)","db_schema":"`\"mushrooms\"` (\"class\" TEXT, \"capshape\" TEXT, \"capsurface\" TEXT, \"capcolor\" TEXT, \"bruises\" TEXT, \"odor\" TEXT, \"gillattachment\" TEXT, \"gillspacing\" TEXT, \"gillsize\" TEXT, \"gillcolor\" TEXT)\n`\"adultCensus\"` (\"workclass\" TEXT, \"education\" TEXT, \"maritalstatus\" TEXT, \"occupation\" TEXT, \"relationship\" TEXT, \"race\" TEXT, \"sex\" TEXT, \"hoursperweek\" INTEGER, \"nativecountry\" TEXT, \"income\" TEXT)","pred_dict":{"response":"To retrieve the number of different `gillcolor` values in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT gillcolor) AS distinct_gillcolor_count\nFROM mushrooms;\n```","cost":0.0000588,"response_parsed":"SELECT COUNT(DISTINCT gillcolor) AS distinct_gillcolor_count\nFROM mushrooms;","time":1.0847601891}}