diff --git "a/cache_model_prediction/llama-8_predictions.json" "b/cache_model_prediction/llama-8_predictions.json"
new file mode 100644--- /dev/null
+++ "b/cache_model_prediction/llama-8_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```\n\nThis SQL query will return the different device types in the `fitnessTrackers` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000488,"response_parsed":"SELECT DISTINCT devicetype \nFROM fitnessTrackers;","time":0.5651307106}}
+{"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":"```sql\nSELECT DISTINCT modelname \nFROM fitnessTrackers;\n```\n\nThis SQL query will return a list of unique model names from the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000486,"response_parsed":"SELECT DISTINCT modelname \nFROM fitnessTrackers;","time":0.3291196823}}
+{"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":"```sql\nSELECT DISTINCT color \nFROM fitnessTrackers;\n```\n\nThis SQL query will return a list of unique colors from the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.000048,"response_parsed":"SELECT DISTINCT color \nFROM fitnessTrackers;","time":0.4707503319}}
+{"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":"```sql\nSELECT DISTINCT display \nFROM fitnessTrackers;\n```\n\nThis SQL query will return all the different display types in the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values from the result set.","cost":0.0000488,"response_parsed":"SELECT DISTINCT display \nFROM fitnessTrackers;","time":0.4949100018}}
+{"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 \nFROM fitnessTrackers;\n```\n\nThis SQL query will return a list of unique brand names from the `fitnessTrackers` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000486,"response_parsed":"SELECT DISTINCT brandname \nFROM fitnessTrackers;","time":0.4370791912}}
+{"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":"```sql\nSELECT DISTINCT transactionno \nFROM salesTransactions;\n```\n\nThis SQL query will return a list of unique transaction numbers from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.000048,"response_parsed":"SELECT DISTINCT transactionno \nFROM salesTransactions;","time":0.4046006203}}
+{"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":"```sql\nSELECT DISTINCT date \nFROM salesTransactions;\n```\n\nThis SQL query will return a list of unique dates from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate dates.","cost":0.0000474,"response_parsed":"SELECT DISTINCT date \nFROM salesTransactions;","time":0.309974432}}
+{"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":"```sql\nSELECT DISTINCT productno \nFROM salesTransactions;\n```\n\nThis SQL query will return a list of unique product numbers from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.000048,"response_parsed":"SELECT DISTINCT productno \nFROM salesTransactions;","time":0.3874471188}}
+{"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":"```sql\nSELECT DISTINCT productname \nFROM salesTransactions;\n```\n\nThis SQL code will fetch all the unique product names from the `salesTransactions` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.000048,"response_parsed":"SELECT DISTINCT productname \nFROM salesTransactions;","time":0.3860538006}}
+{"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":"```sql\nSELECT DISTINCT country \nFROM salesTransactions;\n```\n\nThis SQL query will return a list of unique countries from the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000474,"response_parsed":"SELECT DISTINCT country \nFROM salesTransactions;","time":0.3709266186}}
+{"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":"```sql\nSELECT \n    ft.display,\n    COUNT(*) as total_rows\nFROM \n    fitnessTrackers ft\nGROUP BY \n    ft.display;\n```\n\nThis SQL query will return a list of unique display names from the `fitnessTrackers` table along with the count of rows for each display. The `GROUP BY` clause groups the rows by the `display` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000584,"response_parsed":"SELECT \n    ft.display,\n    COUNT(*) as total_rows\nFROM \n    fitnessTrackers ft\nGROUP BY \n    ft.display;","time":0.6024434566}}
+{"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 \n    devicetype, \n    COUNT(*) as count\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return a list of device types along with the count of rows for each device type in the `fitnessTrackers` table.","cost":0.0000526,"response_parsed":"SELECT \n    devicetype, \n    COUNT(*) as count\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.4547359943}}
+{"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":"```sql\nSELECT \n    modelname, \n    COUNT(*) as row_count\nFROM \n    fitnessTrackers\nGROUP BY \n    modelname;\n```\n\nThis SQL query will return a list of model names along with the count of rows for each model in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the rows by the `modelname` column, and the `COUNT(*)` function is used to count the number of rows in each group.","cost":0.0000598,"response_parsed":"SELECT \n    modelname, \n    COUNT(*) as row_count\nFROM \n    fitnessTrackers\nGROUP BY \n    modelname;","time":0.4331688881}}
+{"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":"```sql\nSELECT \n    strapmaterial, \n    COUNT(*) as count\nFROM \n    fitnessTrackers\nGROUP BY \n    strapmaterial;\n```\n\nThis SQL query will return a list of unique strap materials from the `fitnessTrackers` table, along with the count of rows for each strap material. The `GROUP BY` clause groups the rows by the `strapmaterial` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.000059,"response_parsed":"SELECT \n    strapmaterial, \n    COUNT(*) as count\nFROM \n    fitnessTrackers\nGROUP BY \n    strapmaterial;","time":0.4302167892}}
+{"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":"```sql\nSELECT brandname, COUNT(*) as count\nFROM fitnessTrackers\nGROUP BY brandname;\n```\n\nThis SQL query will return a list of brand names along with the count of rows for each brand in the `fitnessTrackers` table. The `GROUP BY` clause groups the rows by the `brandname` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000568,"response_parsed":"SELECT brandname, COUNT(*) as count\nFROM fitnessTrackers\nGROUP BY brandname;","time":0.6888914108}}
+{"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 \n    devicetype,\n    MIN(sellingprice) AS min_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return the minimum selling price for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MIN` function calculates the minimum `sellingprice` for each group.","cost":0.0000588,"response_parsed":"SELECT \n    devicetype,\n    MIN(sellingprice) AS min_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.5162961483}}
+{"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 \n    devicetype, \n    MAX(sellingprice) AS max_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return the maximum selling price for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MAX` function calculates the maximum `sellingprice` for each group.","cost":0.000059,"response_parsed":"SELECT \n    devicetype, \n    MAX(sellingprice) AS max_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.7975995541}}
+{"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":"```sql\nSELECT \n    devicetype, \n    AVG(sellingprice) AS avg_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return the average selling price for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `AVG` function calculates the average `sellingprice` for each group.","cost":0.0000592,"response_parsed":"SELECT \n    devicetype, \n    AVG(sellingprice) AS avg_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.4867603779}}
+{"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":"```sql\nSELECT \n    ft.devicetype, \n    SUM(st.price * st.quantity) AS total_selling_price\nFROM \n    fitnessTrackers ft\nJOIN \n    salesTransactions st ON ft.modelname = st.productname\nGROUP BY \n    ft.devicetype;\n```\n\nThis SQL query will return the sum of selling price for each device type in the `fitnessTrackers` table. The `JOIN` clause is used to link the `fitnessTrackers` table with the `salesTransactions` table based on the `modelname` column. The `GROUP BY` clause is then used to group the results by `devicetype`. \n\nHowever, if you want to get the sum of selling price directly from the `fitnessTrackers` table, you can use the following query:\n\n```sql\nSELECT \n    devicetype, \n    SUM(sellingprice) AS total_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis query will return the sum of selling price for each device type in the `fitnessTrackers` table.","cost":0.0000854,"response_parsed":"SELECT \n    devicetype, \n    SUM(sellingprice) AS total_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":1.1522250175}}
+{"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":"```sql\nSELECT \n    devicetype,\n    MIN(averagebatterylife) AS min_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return the minimum average battery life for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MIN` function calculates the minimum `averagebatterylife` for each group.","cost":0.0000612,"response_parsed":"SELECT \n    devicetype,\n    MIN(averagebatterylife) AS min_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.5367081165}}
+{"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":"```sql\nSELECT \n    devicetype,\n    MAX(averagebatterylife) AS max_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return the maximum average battery life for each device type in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by `devicetype`, and the `MAX` function calculates the maximum `averagebatterylife` for each group.","cost":0.0000612,"response_parsed":"SELECT \n    devicetype,\n    MAX(averagebatterylife) AS max_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.7272381783}}
+{"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":"```sql\nSELECT \n    devicetype,\n    AVG(averagebatterylife) AS avg_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return the average of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by `devicetype`, and the `AVG` function is used to calculate the average of `averagebatterylife` for each group.","cost":0.0000644,"response_parsed":"SELECT \n    devicetype,\n    AVG(averagebatterylife) AS avg_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.5066270828}}
+{"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":"```sql\nSELECT \n    devicetype,\n    SUM(averagebatterylife) AS total_average_batterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;\n```\n\nThis SQL query will return the sum of averagebatterylife for each devicetype in the fitnessTrackers table. The GROUP BY clause is used to group the results by devicetype, and the SUM function is used to calculate the sum of averagebatterylife for each group.","cost":0.0000616,"response_parsed":"SELECT \n    devicetype,\n    SUM(averagebatterylife) AS total_average_batterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    devicetype;","time":0.4890780449}}
+{"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":"```sql\nSELECT \n    display,\n    MIN(sellingprice) AS min_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    display;\n```\n\nThis SQL query will return the display type and the minimum selling price for each display type in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by the `display` column, and the `MIN` function is used to find the minimum `sellingprice` for each group.","cost":0.0000598,"response_parsed":"SELECT \n    display,\n    MIN(sellingprice) AS min_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    display;","time":0.4364309311}}
+{"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":"```sql\nSELECT \n    display,\n    MAX(sellingprice) AS max_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    display;\n```\n\nThis SQL query will return the display and the maximum selling price for each display in the `fitnessTrackers` table. \n\nHere's how it works:\n\n- `SELECT display, MAX(sellingprice) AS max_selling_price`: This selects the `display` column and the maximum `sellingprice` for each group of rows with the same `display` value. The `AS max_selling_price` part gives an alias to the `MAX(sellingprice)` column, making it easier to read the output.\n\n- `FROM fitnessTrackers`: This specifies the table to query, which is `fitnessTrackers`.\n\n- `GROUP BY display`: This groups the rows in the `fitnessTrackers` table by the `display` column. This is necessary because the `MAX(sellingprice)` function requires a group of rows to operate on.","cost":0.000081,"response_parsed":"SELECT \n    display,\n    MAX(sellingprice) AS max_selling_price\nFROM \n    fitnessTrackers\nGROUP BY \n    display;","time":0.8845455647}}
+{"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":"```sql\nSELECT \n    ft.display,\n    AVG(st.price) AS avg_selling_price\nFROM \n    fitnessTrackers ft\nJOIN \n    salesTransactions st ON ft.modelname = st.productname\nGROUP BY \n    ft.display;\n```\n\nThis SQL query will return the display and the average selling price for each display in the `fitnessTrackers` table. The `JOIN` clause is used to link the `fitnessTrackers` table with the `salesTransactions` table based on the `modelname` column. The `GROUP BY` clause is used to group the results by the `display` column.","cost":0.0000652,"response_parsed":"SELECT \n    ft.display,\n    AVG(st.price) AS avg_selling_price\nFROM \n    fitnessTrackers ft\nJOIN \n    salesTransactions st ON ft.modelname = st.productname\nGROUP BY \n    ft.display;","time":0.596832037}}
+{"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 \n    ft.display,\n    SUM(st.price * ft.quantity) AS total_selling_price\nFROM \n    salesTransactions st\nJOIN \n    fitnessTrackers ft ON st.productno = ft.modelname\nGROUP BY \n    ft.display;\n```\n\nThis SQL query will return the display and the total selling price for each display. The total selling price is calculated by multiplying the price of each transaction by the quantity and then summing these values for each display. \n\nHowever, if you want to get the sum of sellingprice from the fitnessTrackers table, you can use the following query:\n\n```sql\nSELECT \n    ft.display,\n    SUM(ft.sellingprice) AS total_selling_price\nFROM \n    fitnessTrackers ft\nGROUP BY \n    ft.display;\n```\n\nThis query will return the display and the sum of sellingprice for each display.","cost":0.0000756,"response_parsed":"SELECT \n    ft.display,\n    SUM(ft.sellingprice) AS total_selling_price\nFROM \n    fitnessTrackers ft\nGROUP BY \n    ft.display;","time":0.8166952133}}
+{"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":"```sql\nSELECT \n    display,\n    MIN(averagebatterylife) AS min_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    display;\n```\n\nThis SQL query will return the display and the minimum average battery life for each display in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by the `display` column, and the `MIN` function calculates the minimum `averagebatterylife` for each group.","cost":0.0000606,"response_parsed":"SELECT \n    display,\n    MIN(averagebatterylife) AS min_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    display;","time":0.4176995754}}
+{"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":"```sql\nSELECT \n    display, \n    MAX(averagebatterylife) AS max_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    display;\n```\n\nThis SQL query will return the display and the maximum average battery life for each display in the `fitnessTrackers` table. The `GROUP BY` clause groups the results by the `display` column, and the `MAX` function calculates the maximum `averagebatterylife` for each group.","cost":0.0000608,"response_parsed":"SELECT \n    display, \n    MAX(averagebatterylife) AS max_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    display;","time":0.4539299011}}
+{"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":"```sql\nSELECT \n    display, \n    AVG(averagebatterylife) AS avg_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    display;\n```\n\nThis SQL query will return the display type and the average average battery life for each display type in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by the `display` column, and the `AVG` function is used to calculate the average of the `averagebatterylife` column for each group.","cost":0.0000632,"response_parsed":"SELECT \n    display, \n    AVG(averagebatterylife) AS avg_averagebatterylife\nFROM \n    fitnessTrackers\nGROUP BY \n    display;","time":0.6006085873}}
+{"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":"```sql\nSELECT \n    ft.display,\n    SUM(ft.averagebatterylife) AS total_average_batterylife\nFROM \n    fitnessTrackers ft\nGROUP BY \n    ft.display;\n```\n\nThis SQL query will return the display and the sum of average battery life for each display in the `fitnessTrackers` table. The `GROUP BY` clause is used to group the results by the `display` column, and the `SUM` function is used to calculate the sum of `averagebatterylife` for each group.","cost":0.0000628,"response_parsed":"SELECT \n    ft.display,\n    SUM(ft.averagebatterylife) AS total_average_batterylife\nFROM \n    fitnessTrackers ft\nGROUP BY \n    ft.display;","time":0.7561738491}}
+{"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":"```sql\nSELECT \n    transactionno,\n    COUNT(*) as row_count\nFROM \n    salesTransactions\nGROUP BY \n    transactionno;\n```\n\nThis SQL query will return a list of transaction numbers along with the count of rows for each transaction number in the `salesTransactions` table. \n\nHere's how it works:\n\n- `SELECT transactionno, COUNT(*) as row_count`: This selects the `transactionno` column and counts the number of rows for each group using the `COUNT(*)` function. The `as row_count` part gives an alias to the count column, making it easier to read.\n\n- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`.\n\n- `GROUP BY transactionno`: This groups the rows by the `transactionno` column, so that the count is calculated separately for each transaction number.","cost":0.0000744,"response_parsed":"SELECT \n    transactionno,\n    COUNT(*) as row_count\nFROM \n    salesTransactions\nGROUP BY \n    transactionno;","time":0.6618976593}}
+{"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 \n    date,\n    COUNT(*) as total_transactions\nFROM \n    salesTransactions\nGROUP BY \n    date\nORDER BY \n    date;\n```\n\nThis SQL query will return a list of dates with the total number of transactions for each date. The `GROUP BY` clause groups the rows by the `date` column, and the `COUNT(*)` function counts the number of rows in each group. The `ORDER BY` clause sorts the results by date.","cost":0.000059,"response_parsed":"SELECT \n    date,\n    COUNT(*) as total_transactions\nFROM \n    salesTransactions\nGROUP BY \n    date\nORDER BY \n    date;","time":0.5296103954}}
+{"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 \n    productno,\n    COUNT(*) as count\nFROM \n    salesTransactions\nGROUP BY \n    productno;\n```\n\nThis SQL query will return a list of product numbers along with the count of rows for each product number in the `salesTransactions` table. \n\nHere's how it works:\n\n- `SELECT productno, COUNT(*) as count`: This selects the `productno` column and counts the number of rows for each group using the `COUNT(*)` function. The `as count` part gives an alias to the count column, making it easier to read.\n\n- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`.\n\n- `GROUP BY productno`: This groups the rows by the `productno` column, so that the count is calculated for each product number separately.","cost":0.0000738,"response_parsed":"SELECT \n    productno,\n    COUNT(*) as count\nFROM \n    salesTransactions\nGROUP BY \n    productno;","time":0.6724514961}}
+{"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":"```sql\nSELECT \n    productname, \n    COUNT(*) as count\nFROM \n    salesTransactions\nGROUP BY \n    productname;\n```\n\nThis SQL query will return a list of product names along with the count of rows for each product name in the `salesTransactions` table. \n\nHere's how it works:\n\n- `SELECT productname, COUNT(*) as count`: This selects the `productname` column and counts the number of rows for each group using the `COUNT(*)` function. The `as count` part gives an alias to the count column, making it easier to read.\n\n- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`.\n\n- `GROUP BY productname`: This groups the results by the `productname` column. This means that the count will be calculated separately for each product name.","cost":0.0000744,"response_parsed":"SELECT \n    productname, \n    COUNT(*) as count\nFROM \n    salesTransactions\nGROUP BY \n    productname;","time":0.9986021519}}
+{"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 \n    country, \n    COUNT(*) as transaction_count\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return a list of countries along with the number of rows in the `salesTransactions` table for each country. The `GROUP BY` clause groups the rows by the `country` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.000057,"response_parsed":"SELECT \n    country, \n    COUNT(*) as transaction_count\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.6246201992}}
+{"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":"```sql\nSELECT date, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY date;\n```\n\nThis SQL query will return the minimum customer number for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `date` column, and the `MIN` function calculates the minimum `customerno` for each group.","cost":0.0000552,"response_parsed":"SELECT date, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY date;","time":0.4563026428}}
+{"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":"```sql\nSELECT \n    date,\n    MAX(customerno) AS max_customerno\nFROM \n    salesTransactions\nGROUP BY \n    date;\n```\n\nThis SQL query will return the maximum customer number for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by date, and the `MAX` function is used to find the maximum customer number for each group.","cost":0.000056,"response_parsed":"SELECT \n    date,\n    MAX(customerno) AS max_customerno\nFROM \n    salesTransactions\nGROUP BY \n    date;","time":0.4371550083}}
+{"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":"```sql\nSELECT \n    date,\n    AVG(customerno) AS avg_customerno\nFROM \n    salesTransactions\nGROUP BY \n    date\nORDER BY \n    date;\n```\n\nThis SQL query will return the average number of customers for each date in the `salesTransactions` table. The results will be sorted by date. \n\nNote: The `customerno` column is defined as REAL in the database schema, but it's likely that it should be INTEGER, as it represents a customer number. If this is the case, you may want to consider changing the data type to INTEGER to avoid potential issues with floating-point precision.","cost":0.0000652,"response_parsed":"SELECT \n    date,\n    AVG(customerno) AS avg_customerno\nFROM \n    salesTransactions\nGROUP BY \n    date\nORDER BY \n    date;","time":0.87621665}}
+{"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":"```sql\nSELECT \n    date,\n    SUM(customerno) AS total_customers\nFROM \n    salesTransactions\nGROUP BY \n    date;\n```\n\nThis SQL query will return a list of dates with the total number of customers who made a purchase on each date. The `GROUP BY` clause groups the results by the `date` column, and the `SUM` function calculates the total number of customers for each group.","cost":0.000057,"response_parsed":"SELECT \n    date,\n    SUM(customerno) AS total_customers\nFROM \n    salesTransactions\nGROUP BY \n    date;","time":0.4287109375}}
+{"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 \n    date,\n    MIN(price) AS min_price\nFROM \n    salesTransactions\nGROUP BY \n    date;\n```\n\nThis SQL query will return the minimum price for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `date` column, and the `MIN` function calculates the minimum `price` for each group.","cost":0.0000556,"response_parsed":"SELECT \n    date,\n    MIN(price) AS min_price\nFROM \n    salesTransactions\nGROUP BY \n    date;","time":0.5912532806}}
+{"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":"```sql\nSELECT \n    date,\n    MAX(price) AS max_price\nFROM \n    salesTransactions\nGROUP BY \n    date;\n```\n\nThis SQL query will return the maximum price for each date in the `salesTransactions` table. The `GROUP BY` clause groups the rows by the `date` column, and the `MAX` function calculates the maximum `price` for each group.","cost":0.0000556,"response_parsed":"SELECT \n    date,\n    MAX(price) AS max_price\nFROM \n    salesTransactions\nGROUP BY \n    date;","time":0.375174284}}
+{"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":"```sql\nSELECT \n    date,\n    AVG(price) AS avg_price\nFROM \n    salesTransactions\nGROUP BY \n    date;\n```\n\nThis SQL query will return the average price for each date in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `date` column, and the `AVG` function calculates the average price for each group.","cost":0.0000554,"response_parsed":"SELECT \n    date,\n    AVG(price) AS avg_price\nFROM \n    salesTransactions\nGROUP BY \n    date;","time":0.4705131054}}
+{"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 \n    date,\n    SUM(price) AS total_price\nFROM \n    salesTransactions\nGROUP BY \n    date\nORDER BY \n    date;\n```\n\nThis SQL query will return the sum of prices for each date in the `salesTransactions` table. The results will be sorted by date in ascending order. \n\nNote: The `customerno` field in the `salesTransactions` table is defined as REAL, which is typically used for floating-point numbers. However, in this context, it seems more likely that it should be an INTEGER or a string (e.g., a customer ID). If this is the case, you may want to consider changing the data type to a more suitable one.","cost":0.0000684,"response_parsed":"SELECT \n    date,\n    SUM(price) AS total_price\nFROM \n    salesTransactions\nGROUP BY \n    date\nORDER BY \n    date;","time":0.8789641857}}
+{"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":"```sql\nSELECT \n  country, \n  MIN(customerno) AS min_customerno\nFROM \n  salesTransactions\nGROUP BY \n  country;\n```\n\nThis SQL query will return the country and the minimum customer number for each country in the `salesTransactions` table. \n\nHere's how it works:\n\n- `SELECT country, MIN(customerno) AS min_customerno`: This selects the country and the minimum customer number for each country. The `AS` keyword is used to give an alias to the column, which is `min_customerno` in this case.\n\n- `FROM salesTransactions`: This specifies the table from which to select the data.\n\n- `GROUP BY country`: This groups the rows by the country. This is necessary because the `MIN` function is used, which requires the data to be grouped by the column for which the minimum is being calculated.","cost":0.000075,"response_parsed":"SELECT \n  country, \n  MIN(customerno) AS min_customerno\nFROM \n  salesTransactions\nGROUP BY \n  country;","time":1.2252421379}}
+{"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 \n    country,\n    MAX(customerno) AS max_customerno\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return the country and the maximum customer number for each country in the `salesTransactions` table. \n\nHere's how it works:\n\n- `SELECT country, MAX(customerno) AS max_customerno`: This selects the country and the maximum customer number for each country. The `MAX` function is used to find the maximum value in the `customerno` column.\n\n- `FROM salesTransactions`: This specifies the table from which to select the data.\n\n- `GROUP BY country`: This groups the result by country, so that the maximum customer number is found for each country separately.","cost":0.00007,"response_parsed":"SELECT \n    country,\n    MAX(customerno) AS max_customerno\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.7886602879}}
+{"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":"```sql\nSELECT \n    country,\n    AVG(customerno) AS avg_customerno\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return the average number of customers for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by country, and the `AVG` function calculates the average value of `customerno` for each group.","cost":0.0000566,"response_parsed":"SELECT \n    country,\n    AVG(customerno) AS avg_customerno\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.4384329319}}
+{"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":"```sql\nSELECT \n    country, \n    SUM(customerno) AS total_customers\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return the sum of `customerno` for each country in the `salesTransactions` table. The `GROUP BY` clause is used to group the results by country, and the `SUM` function is used to calculate the total number of customers for each country. The result is a table with two columns: `country` and `total_customers`.","cost":0.0000612,"response_parsed":"SELECT \n    country, \n    SUM(customerno) AS total_customers\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.4795119762}}
+{"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":"```sql\nSELECT \n    country, \n    MIN(price) AS min_price\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return the minimum price for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by country, and the `MIN` function calculates the minimum price for each group. The result is a table with two columns: `country` and `min_price`.","cost":0.000058,"response_parsed":"SELECT \n    country, \n    MIN(price) AS min_price\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.5833339691}}
+{"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":"```sql\nSELECT \n    country, \n    MAX(price) AS max_price\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return the country and the maximum price for each country in the `salesTransactions` table. \n\nHere's how it works:\n\n- `SELECT country, MAX(price) AS max_price`: This selects the country and the maximum price for each country. The `MAX(price)` function returns the maximum value in the `price` column for each group of rows with the same `country` value. The `AS max_price` part gives an alias to the `MAX(price)` column, so it's easier to read the output.\n\n- `FROM salesTransactions`: This specifies the table to query, which is `salesTransactions`.\n\n- `GROUP BY country`: This groups the rows in the `salesTransactions` table by the `country` column. This is necessary because the `MAX(price)` function needs to know which rows to consider for each country.","cost":0.0000802,"response_parsed":"SELECT \n    country, \n    MAX(price) AS max_price\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.8392083645}}
+{"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 \n    country, \n    AVG(price) AS avg_price\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return the average price for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by country, and the `AVG` function calculates the average price for each group.","cost":0.0000548,"response_parsed":"SELECT \n    country, \n    AVG(price) AS avg_price\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.7435281277}}
+{"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 \n    country, \n    SUM(price) AS total_price\nFROM \n    salesTransactions\nGROUP BY \n    country;\n```\n\nThis SQL query will return the sum of prices for each country in the `salesTransactions` table. The `GROUP BY` clause groups the results by the `country` column, and the `SUM` function calculates the total price for each group.","cost":0.0000556,"response_parsed":"SELECT \n    country, \n    SUM(price) AS total_price\nFROM \n    salesTransactions\nGROUP BY \n    country;","time":0.4206302166}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING COUNT(*) > 0;\n```\n\nThis SQL query will return all the model names that have at least one record in the `fitnessTrackers` table. \n\nHowever, since the condition `COUNT(*) > 0` is always true for any non-empty group, the query can be simplified to:\n\n```sql\nSELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname;\n```\n\nThis query will return all the model names that have at least one record in the `fitnessTrackers` table.","cost":0.0000646,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname;","time":0.5254762173}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING COUNT(*) <= 1;\n```\n\nThis SQL query works as follows:\n\n- `GROUP BY modelname` groups the rows in the `fitnessTrackers` table by the `modelname` column.\n- `COUNT(*)` counts the number of rows in each group.\n- `HAVING COUNT(*) <= 1` filters the groups to only include those with 1 or 0 rows, effectively finding all model names that have at most 1 record in the `fitnessTrackers` table.","cost":0.0000642,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING COUNT(*) <= 1;","time":0.6039545536}}
+{"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":"```sql\nSELECT DISTINCT color \nFROM fitnessTrackers;\n```\n\nThis SQL query will fetch all the distinct colors from the `fitnessTrackers` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000492,"response_parsed":"SELECT DISTINCT color \nFROM fitnessTrackers;","time":0.4346520901}}
+{"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":"```sql\nSELECT color \nFROM fitnessTrackers \nGROUP BY color \nHAVING COUNT(color) <= 1;\n```\n\nThis SQL query will return all the colors that have at most 1 record in the `fitnessTrackers` table. \n\nHere's how it works:\n\n- `GROUP BY color` groups the rows in the `fitnessTrackers` table by the `color` column.\n- `COUNT(color)` counts the number of rows in each group.\n- `HAVING COUNT(color) <= 1` filters the groups to only include those with a count of 1 or less.","cost":0.0000644,"response_parsed":"SELECT color \nFROM fitnessTrackers \nGROUP BY color \nHAVING COUNT(color) <= 1;","time":0.5874199867}}
+{"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```\n\nThis SQL query will return all the unique display types that have at least 4 records in the `fitnessTrackers` table. \n\nHere's how it works:\n\n- `GROUP BY display` groups the records by the `display` column.\n- `COUNT(*)` counts the number of records in each group.\n- `HAVING COUNT(*) >= 4` filters the groups to only include those with 4 or more records.","cost":0.0000624,"response_parsed":"SELECT display \nFROM fitnessTrackers \nGROUP BY display \nHAVING COUNT(*) >= 4;","time":0.5442478657}}
+{"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":"```sql\nSELECT display \nFROM fitnessTrackers \nGROUP BY display \nHAVING COUNT(display) <= 4;\n```\n\nThis SQL query will return all the unique display types that have at most 4 records in the `fitnessTrackers` table. The `GROUP BY` clause groups the rows by the `display` column, and the `HAVING` clause filters the groups to only include those with 4 or fewer records.","cost":0.0000578,"response_parsed":"SELECT display \nFROM fitnessTrackers \nGROUP BY display \nHAVING COUNT(display) <= 4;","time":0.4658241272}}
+{"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":"```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife \/ (SELECT COUNT(*) FROM fitnessTrackers) * 100 >= 881;\n```\n\nHowever, the above query is not the most efficient way to achieve the desired result. The subquery is calculating the average of averagebatterylife for all rows in the table, which is not necessary. We can simply calculate the average of averagebatterylife and then use it in the WHERE clause.\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife >= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 0.881;\n```\n\nThis query will return all strapmaterial values where the averagebatterylife is at least 8.81 times the average of averagebatterylife in the table.","cost":0.000077,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife >= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 0.881;","time":0.7682902813}}
+{"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":"```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife \/ (SELECT COUNT(*) FROM fitnessTrackers) * 100 <= 8.81;\n```\n\nHowever, the above SQL query will not give the desired result because it will divide the averagebatterylife by the total number of rows in the table and then multiply by 100. This is not the correct way to calculate the average.\n\nTo get the desired result, you should first calculate the average of averagebatterylife and then use that in the WHERE clause. Here's the correct SQL query:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife <= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 8.81 \/ 100;\n```\n\nThis query will first calculate the average of averagebatterylife and then multiply it by 8.81\/100. It will then select the strapmaterial where averagebatterylife is less than or equal to this value.","cost":0.0000844,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nWHERE averagebatterylife <= (SELECT AVG(averagebatterylife) FROM fitnessTrackers) * 8.81 \/ 100;","time":0.7096409798}}
+{"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":"```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nWHERE SUM(averagebatterylife) >= 32.4;\n```\n\nHowever, the above SQL query will not work as expected because the `SUM` function is being used in the `WHERE` clause, which is not allowed in SQL. The `SUM` function is an aggregate function that requires a `GROUP BY` clause to work correctly.\n\nTo fix this issue, we need to use a subquery or a `HAVING` clause. Here's how you can do it:\n\n```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING SUM(averagebatterylife) >= 32.4;\n```\n\nThis SQL query will return all the `strapmaterial` values from the `fitnessTrackers` table where the sum of the `averagebatterylife` values is at least 32.4.","cost":0.0000794,"response_parsed":"SELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING SUM(averagebatterylife) >= 32.4;","time":0.8572802544}}
+{"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":"```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nWHERE SUM(averagebatterylife) \/ COUNT(averagebatterylife) <= 32.4;\n```\n\nHowever, the above SQL query may not work as expected because the `SUM` function is being used on a column that is an integer, and the result is being divided by the count of the same column. This will not give the desired result.\n\nA more accurate query would be:\n\n```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING SUM(averagebatterylife) \/ COUNT(averagebatterylife) <= 32.4;\n```\n\nThis query will group the results by `strapmaterial` and then apply the condition to the sum of `averagebatterylife` divided by the count of `averagebatterylife` for each group.","cost":0.0000782,"response_parsed":"SELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING SUM(averagebatterylife) \/ COUNT(averagebatterylife) <= 32.4;","time":0.6954753399}}
+{"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":"```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nWHERE sellingprice >= 19076.5 \nGROUP BY strapmaterial \nHAVING AVG(sellingprice) >= 19076.5;\n```\n\nThis SQL query will return the strapmaterial from the fitnessTrackers table where the average selling price is at least 19076.5. \n\nHowever, if you want to get the average selling price for each strapmaterial, you can use the following query:\n\n```sql\nSELECT strapmaterial, AVG(sellingprice) as average_selling_price \nFROM fitnessTrackers \nWHERE sellingprice >= 19076.5 \nGROUP BY strapmaterial;\n```\n\nThis query will return the strapmaterial and the average selling price for each strapmaterial where the average selling price is at least 19076.5.","cost":0.0000742,"response_parsed":"SELECT strapmaterial, AVG(sellingprice) as average_selling_price \nFROM fitnessTrackers \nWHERE sellingprice >= 19076.5 \nGROUP BY strapmaterial;","time":0.6917967796}}
+{"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":"```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers) * 0.9999;\n```\n\nHowever, the above query will return all strapmaterials where the sellingprice is less than or equal to 99.99% of the average selling price. \n\nIf you want to get the strapmaterial where the average of sellingprice is at most 19076.5, you can use the following query:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE sellingprice <= 19076.5;\n```\n\nThis query will return all strapmaterials where the sellingprice is less than or equal to 19076.5. \n\nIf you want to get the strapmaterial where the average of sellingprice is at most 19076.5, you can use the following query:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers) AND sellingprice <= 19076.5;\n```\n\nHowever, this query will return no results because the average selling price is likely to be higher than 19076.5. \n\nIf you want to get the strapmaterial where the average of sellingprice is at most 19076.5, you can use the following query:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers);\n```\n\nThis query will return all strapmaterials where the sellingprice is less than or equal to the average selling price.","cost":0.0001062,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nWHERE sellingprice <= (SELECT AVG(sellingprice) FROM fitnessTrackers);","time":0.9749209881}}
+{"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":"```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) >= 82848.0;\n```\n\nThis SQL query will return the strapmaterial(s) from the `fitnessTrackers` table where the sum of the selling price is at least 82848.0. The `GROUP BY` clause groups the results by the strapmaterial, and the `HAVING` clause filters the results to only include groups where the sum of the selling price meets the specified condition.","cost":0.0000628,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) >= 82848.0;","time":0.594419241}}
+{"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":"```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE SUM(sellingprice) <= 82848.0;\n```\n\nHowever, the above SQL query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by a specific column. \n\nIf you want to get the strapmaterial where the sum of sellingprice is at most 82848.0, you should use a subquery or a join. Here's how you can do it using a subquery:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE sellingprice IN (\n  SELECT sellingprice\n  FROM fitnessTrackers\n  GROUP BY sellingprice\n  HAVING SUM(sellingprice) <= 82848.0\n);\n```\n\nThis query will return all strapmaterials where the sum of sellingprice is at most 82848.0. \n\nHowever, if you want to get the strapmaterial where the sum of sellingprice for each strapmaterial is at most 82848.0, you should use a subquery with a GROUP BY clause:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nWHERE strapmaterial IN (\n  SELECT strapmaterial\n  FROM fitnessTrackers\n  GROUP BY strapmaterial\n  HAVING SUM(sellingprice) <= 82848.0\n);\n```\n\nThis query will return all strapmaterials where the sum of sellingprice for each strapmaterial is at most 82848.0. \n\nIf you want to get the strapmaterial where the sum of sellingprice for each strapmaterial is at most 82848.0 and also include the sum of sellingprice for each strapmaterial, you can use a subquery with a GROUP BY clause and include the sum of sellingprice in the SELECT clause:\n\n```sql\nSELECT strapmaterial, SUM(sellingprice) as total_sellingprice\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) <= 82848.0;\n```","cost":0.0001232,"response_parsed":"SELECT strapmaterial, SUM(sellingprice) as total_sellingprice\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) <= 82848.0;","time":1.2810497284}}
+{"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```\n\nThis SQL query will return the model names of fitness trackers where the average battery life is at least 8.1.","cost":0.0000516,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nWHERE averagebatterylife >= 8.1;","time":0.4081535339}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE averagebatterylife <= 8.1;\n```\n\nThis SQL query will return the `modelname` of all fitness trackers in the `fitnessTrackers` table where the average battery life is at most 8.1 hours.","cost":0.000054,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nWHERE averagebatterylife <= 8.1;","time":0.4567825794}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE averagebatterylife * (SELECT COUNT(*) FROM fitnessTrackers) \/ (SELECT COUNT(*) FROM fitnessTrackers) >= 8.1;\n```\n\nHowever, the above SQL query will not give the desired result because it will always return 0 because the averagebatterylife is being multiplied by the total count of rows in the table and then divided by the same count which results in 0.\n\nTo get the desired result, you should use the `AVG` function to calculate the average battery life and then filter the results to include only the model names where this average is at least 8.1.\n\n```sql\nSELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING AVG(averagebatterylife) >= 8.1;\n```\n\nThis SQL query will return the model names where the average battery life is at least 8.1.","cost":0.000081,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING AVG(averagebatterylife) >= 8.1;","time":0.7673192024}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE SUM(averagebatterylife) \/ COUNT(averagebatterylife) <= 8.1;\n```\n\nHowever, the above SQL query may not work as expected because the SUM function is being used on a column that is an integer, and the result is being divided by the COUNT of the same column. This will always result in an integer division, which will truncate the decimal part of the result.\n\nA more accurate query would be:\n\n```sql\nSELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING AVG(averagebatterylife) <= 8.1;\n```\n\nThis query groups the rows by the modelname and then calculates the average of the averagebatterylife for each group. The HAVING clause is used to filter the groups based on the condition that the average of the averagebatterylife is less than or equal to 8.1.","cost":0.0000816,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING AVG(averagebatterylife) <= 8.1;","time":0.8387124538}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE sellingprice >= 20712.0;\n```\n\nThis SQL query will return all the model names from the `fitnessTrackers` table where the `sellingprice` is at least 20712.0.","cost":0.0000524,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nWHERE sellingprice >= 20712.0;","time":0.3799865246}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE sellingprice <= 20712.0 \nGROUP BY modelname \nHAVING AVG(sellingprice) <= 20712.0;\n```\n\nThis SQL query will return the model names from the `fitnessTrackers` table where the average selling price is at most 20712.0. The `GROUP BY` clause groups the results by `modelname`, and the `HAVING` clause filters the results to only include groups where the average selling price is at most 20712.0.","cost":0.0000642,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nWHERE sellingprice <= 20712.0 \nGROUP BY modelname \nHAVING AVG(sellingprice) <= 20712.0;","time":0.5278480053}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE sellingprice * quantity >= 20712.0;\n```\n\nHowever, the above SQL query will not work as expected because it's trying to multiply `sellingprice` with `quantity` from the `salesTransactions` table which is not available in the `fitnessTrackers` table.\n\nTo get the desired result, you need to join the `fitnessTrackers` table with the `salesTransactions` table on the `productno` column. But since the `productno` column is not available in the `fitnessTrackers` table, you need to first join the `fitnessTrackers` table with the `salesTransactions` table on the `productno` column and then group the result by `modelname` and sum the `sellingprice` for each `modelname`.\n\nHere's the correct SQL query:\n\n```sql\nSELECT ft.modelname \nFROM fitnessTrackers ft \nJOIN salesTransactions st ON ft.productno = st.productno \nGROUP BY ft.modelname \nHAVING SUM(st.price * st.quantity) >= 20712.0;\n```\n\nThis SQL query will return the `modelname` from the `fitnessTrackers` table where the sum of the selling price of all products is at least 20712.0.","cost":0.0000948,"response_parsed":"SELECT ft.modelname \nFROM fitnessTrackers ft \nJOIN salesTransactions st ON ft.productno = st.productno \nGROUP BY ft.modelname \nHAVING SUM(st.price * st.quantity) >= 20712.0;","time":0.7333624363}}
+{"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":"```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE sellingprice * quantity <= 20712.0\n```\n\nHowever, this query will not give the correct result because it will filter out rows where the quantity is 0. \n\nIf you want to get the sum of selling price for each model, you can use the following query:\n\n```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE (SELECT SUM(sellingprice * quantity) \n       FROM salesTransactions \n       WHERE productno IN (SELECT productno \n                            FROM salesTransactions \n                            WHERE productname = fitnessTrackers.modelname)) <= 20712.0\n```\n\nThis query will first calculate the sum of selling price for each model, and then filter out the models where the sum is more than 20712.0.\n\nHowever, this query will be very slow if the salesTransactions table is large. A better approach would be to use a subquery to calculate the sum of selling price for each model, and then use the result in the main query:\n\n```sql\nSELECT modelname \nFROM (\n  SELECT modelname, \n         SUM(sellingprice * quantity) AS total_selling_price\n  FROM fitnessTrackers \n  JOIN salesTransactions ON fitnessTrackers.modelname = salesTransactions.productname\n  GROUP BY modelname\n) AS subquery\nWHERE total_selling_price <= 20712.0\n```\n\nThis query will first calculate the sum of selling price for each model, and then filter out the models where the sum is more than 20712.0.","cost":0.0001056,"response_parsed":"SELECT modelname \nFROM (\n  SELECT modelname, \n         SUM(sellingprice * quantity) AS total_selling_price\n  FROM fitnessTrackers \n  JOIN salesTransactions ON fitnessTrackers.modelname = salesTransactions.productname\n  GROUP BY modelname\n) AS subquery\nWHERE total_selling_price <= 20712.0","time":1.1413576603}}
+{"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":"```sql\nSELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING COUNT(*) >= 20;\n```\n\nThis SQL query will return all the countries that have at least 20 records in the `salesTransactions` table. \n\nHere's how it works:\n\n- `GROUP BY country` groups the rows in the `salesTransactions` table by the `country` column.\n- `COUNT(*)` counts the number of rows in each group.\n- `HAVING COUNT(*) >= 20` filters the groups to only include those with 20 or more rows.","cost":0.0000628,"response_parsed":"SELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING COUNT(*) >= 20;","time":0.4799101353}}
+{"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":"```sql\nSELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING COUNT(*) <= 20;\n```\n\nThis SQL query will return all the countries that have at most 20 records in the `salesTransactions` table. \n\nHere's how it works:\n\n- `GROUP BY country` groups the rows in the `salesTransactions` table by the `country` column.\n- `COUNT(*)` counts the number of rows in each group.\n- `HAVING COUNT(*) <= 20` filters the groups to only include those with 20 or fewer rows.","cost":0.0000628,"response_parsed":"SELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING COUNT(*) <= 20;","time":0.436841011}}
+{"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":"```sql\nSELECT date \nFROM salesTransactions \nGROUP BY date \nHAVING COUNT(date) > 0;\n```\n\nThis SQL query will return all unique dates that have at least one record in the `salesTransactions` table. \n\nHere's how it works:\n\n- `GROUP BY date` groups the results by the `date` column.\n- `COUNT(date)` counts the number of records for each date.\n- `HAVING COUNT(date) > 0` filters the results to only include dates with at least one record.","cost":0.0000614,"response_parsed":"SELECT date \nFROM salesTransactions \nGROUP BY date \nHAVING COUNT(date) > 0;","time":0.5305240154}}
+{"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":"```sql\nSELECT date \nFROM salesTransactions \nGROUP BY date \nHAVING COUNT(*) <= 1;\n```\n\nThis SQL query will return all the dates that have at most 1 record in the `salesTransactions` table. \n\nHere's how it works:\n\n- `GROUP BY date` groups the rows in the `salesTransactions` table by the `date` column.\n- `HAVING COUNT(*) <= 1` filters the groups to only include those with 1 or 0 records. The `COUNT(*)` function counts the number of rows in each group.","cost":0.0000632,"response_parsed":"SELECT date \nFROM salesTransactions \nGROUP BY date \nHAVING COUNT(*) <= 1;","time":0.5806758404}}
+{"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 transactionno \nFROM salesTransactions \nGROUP BY transactionno \nHAVING COUNT(*) > 0;\n```\n\nThis SQL query will return all the unique `transactionno` values from the `salesTransactions` table that have at least one record. The `GROUP BY` clause groups the results by `transactionno`, and the `HAVING COUNT(*) > 0` clause filters the results to only include groups with at least one record.","cost":0.0000584,"response_parsed":"SELECT transactionno \nFROM salesTransactions \nGROUP BY transactionno \nHAVING COUNT(*) > 0;","time":0.5180139542}}
+{"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":"```sql\nSELECT transactionno \nFROM salesTransactions \nGROUP BY transactionno \nHAVING COUNT(*) <= 1;\n```\n\nThis SQL query works as follows:\n\n- `GROUP BY transactionno` groups the rows in the `salesTransactions` table by the `transactionno` column.\n- `COUNT(*)` counts the number of rows in each group.\n- `HAVING COUNT(*) <= 1` filters the groups to only include those with 1 or 0 rows, effectively finding all `transactionno` with at most 1 record.","cost":0.0000622,"response_parsed":"SELECT transactionno \nFROM salesTransactions \nGROUP BY transactionno \nHAVING COUNT(*) <= 1;","time":0.5253500938}}
+{"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```\n\nThis SQL query will return the country from the `salesTransactions` table where the average price of all transactions is at most 11.95. The `GROUP BY` clause groups the rows by country, and the `HAVING` clause filters the groups based on the average price.","cost":0.0000572,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(price) <= 11.95;","time":0.4520356655}}
+{"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":"```sql\nSELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING SUM(price) >= 238.94;\n```\n\nThis SQL query will return the country from the `salesTransactions` table where the sum of the `price` column is at least 238.94. The `GROUP BY` clause groups the results by country, and the `HAVING` clause filters the results to only include countries where the sum of the `price` column meets the specified condition.","cost":0.0000602,"response_parsed":"SELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING SUM(price) >= 238.94;","time":0.4053313732}}
+{"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":"```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price * quantity) <= 238.94;\n```\n\nThis SQL query will return the country where the total price of all sales transactions is at most 238.94. The `GROUP BY` clause groups the sales transactions by country, and the `HAVING` clause filters the results to only include countries where the total price is at most 238.94. The `SUM(price * quantity)` expression calculates the total price of all sales transactions for each country.","cost":0.0000628,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price * quantity) <= 238.94;","time":0.4557027817}}
+{"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":"```sql\nSELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING AVG(customerno) >= 15215.25;\n```\n\nThis SQL query will return the country from the `salesTransactions` table where the average number of customers is at least 15215.25. The `GROUP BY` clause groups the rows by the `country` column, and the `HAVING` clause filters the groups based on the average value of `customerno`.","cost":0.0000596,"response_parsed":"SELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING AVG(customerno) >= 15215.25;","time":0.4048709869}}
+{"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":"```sql\nSELECT country \nFROM salesTransactions \nWHERE customerno <= 15215.25 \nGROUP BY country \nHAVING AVG(customerno) <= 15215.25;\n```\n\nThis SQL query will return the country from the `salesTransactions` table where the average number of customers is at most 15215.25. \n\nHere's how it works:\n\n- `SELECT country`: Selects the `country` column from the `salesTransactions` table.\n- `FROM salesTransactions`: Specifies the table to query.\n- `WHERE customerno <= 15215.25`: Filters the results to only include rows where the `customerno` is less than or equal to 15215.25.\n- `GROUP BY country`: Groups the results by the `country` column.\n- `HAVING AVG(customerno) <= 15215.25`: Filters the grouped results to only include groups where the average `customerno` is less than or equal to 15215.25.","cost":0.0000812,"response_parsed":"SELECT country \nFROM salesTransactions \nWHERE customerno <= 15215.25 \nGROUP BY country \nHAVING AVG(customerno) <= 15215.25;","time":0.6476261616}}
+{"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":"```sql\nSELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING SUM(customerno) >= 304305.0;\n```\n\nThis SQL query will return the country(s) where the sum of `customerno` is at least 304305.0. The `GROUP BY` clause groups the rows by the `country` column, and the `HAVING` clause filters the groups to only include those where the sum of `customerno` meets the specified condition.","cost":0.0000606,"response_parsed":"SELECT country \nFROM salesTransactions \nGROUP BY country \nHAVING SUM(customerno) >= 304305.0;","time":0.3918120861}}
+{"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":"```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(customerno) <= 304305.0;\n```\n\nThis SQL query will return the country from the `salesTransactions` table where the sum of `customerno` is at most 304305.0. The `GROUP BY` clause groups the rows by the `country` column, and the `HAVING` clause filters the groups based on the condition specified.","cost":0.0000594,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(customerno) <= 304305.0;","time":0.5334424973}}
+{"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":"```sql\nSELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING AVG(price) >= 11.95;\n```\n\nThis SQL query will return the product names from the `salesTransactions` table where the average price of each product is at least 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the average price.","cost":0.0000584,"response_parsed":"SELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING AVG(price) >= 11.95;","time":0.4719045162}}
+{"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":"```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) <= 11.95;\n```\n\nThis SQL query will return the product names from the `salesTransactions` table where the average price of each product is at most 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the average price.","cost":0.0000584,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) <= 11.95;","time":0.6199579239}}
+{"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":"```sql\nSELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING SUM(price) >= 11.95;\n```\n\nThis SQL query will return the product names from the `salesTransactions` table where the sum of the prices for each product is at least 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the condition.","cost":0.0000588,"response_parsed":"SELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING SUM(price) >= 11.95;","time":0.4607975483}}
+{"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":"```sql\nSELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING SUM(price * quantity) <= 11.95;\n```\n\nThis SQL query will return the product names where the total price of all transactions for that product is at most 11.95. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the condition that the sum of the prices is at most 11.95.","cost":0.0000606,"response_parsed":"SELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING SUM(price * quantity) <= 11.95;","time":0.5192232132}}
+{"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":"```sql\nSELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING AVG(customerno) >= 15215.25;\n```\n\nThis SQL query will return the productname(s) from the `salesTransactions` table where the average of `customerno` is at least 15215.25. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the average value of `customerno`.","cost":0.0000608,"response_parsed":"SELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING AVG(customerno) >= 15215.25;","time":0.5227560997}}
+{"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":"```sql\nSELECT productname \nFROM salesTransactions \nWHERE customerno <= (SELECT AVG(customerno) FROM salesTransactions) * 15215.25 \/ (SELECT AVG(customerno) FROM salesTransactions);\n```\n\nThis SQL query will return the productname from the salesTransactions table where the average of customerno is at most 15215.25 times the average of customerno in the salesTransactions table. \n\nHowever, the above query may not be efficient if the average of customerno is very large, because it will be multiplied by 15215.25. A more efficient way to write this query would be:\n\n```sql\nSELECT productname \nFROM salesTransactions \nWHERE customerno <= (SELECT AVG(customerno) FROM salesTransactions) * 15215.25;\n```\n\nThis query will still return the same result, but it will be more efficient because it avoids the division operation.","cost":0.0000774,"response_parsed":"SELECT productname \nFROM salesTransactions \nWHERE customerno <= (SELECT AVG(customerno) FROM salesTransactions) * 15215.25;","time":0.6780412197}}
+{"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":"```sql\nSELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING SUM(customerno) >= 15215.25;\n```\n\nThis SQL query will return the product names from the `salesTransactions` table where the sum of `customerno` is at least 15215.25. The `GROUP BY` clause groups the rows by `productname`, and the `HAVING` clause filters the groups based on the condition specified.","cost":0.0000598,"response_parsed":"SELECT productname \nFROM salesTransactions \nGROUP BY productname \nHAVING SUM(customerno) >= 15215.25;","time":0.4159793854}}
+{"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":"```sql\nSELECT productname \nFROM salesTransactions \nWHERE customerno * quantity <= 15215.25;\n```\n\nThis SQL query will return the productname from the salesTransactions table where the summation of customerno is at most 15215.25. The summation is calculated by multiplying customerno with quantity for each row.","cost":0.000055,"response_parsed":"SELECT productname \nFROM salesTransactions \nWHERE customerno * quantity <= 15215.25;","time":0.4573633671}}
+{"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":"```sql\nSELECT brandname, devicetype \nFROM fitnessTrackers;\n```\n\nThis SQL query will fetch all the brandnames along with their respective devicetypes from the `fitnessTrackers` table.","cost":0.0000486,"response_parsed":"SELECT brandname, devicetype \nFROM fitnessTrackers;","time":0.4247939587}}
+{"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":"```sql\nSELECT devicetype \nFROM fitnessTrackers \nGROUP BY devicetype \nHAVING COUNT(DISTINCT strapmaterial) = (SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers);\n```\n\nThis SQL query will return the `devicetype` from the `fitnessTrackers` table where all the unique `strapmaterial` values are present. The subquery `(SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers)` gets the total number of unique `strapmaterial` values in the table. The main query then groups the `devicetype` by their values and selects those where the count of unique `strapmaterial` values is equal to the total count of unique `strapmaterial` values in the table.","cost":0.0000704,"response_parsed":"SELECT devicetype \nFROM fitnessTrackers \nGROUP BY devicetype \nHAVING COUNT(DISTINCT strapmaterial) = (SELECT COUNT(DISTINCT strapmaterial) FROM fitnessTrackers);","time":0.6356775761}}
+{"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":"```sql\nSELECT color \nFROM fitnessTrackers \nWHERE display = 'all';\n```\n\nThis SQL query will return all the colors of fitness trackers that have a display of 'all'.","cost":0.000047,"response_parsed":"SELECT color \nFROM fitnessTrackers \nWHERE display = 'all';","time":0.3704538345}}
+{"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":"```sql\nSELECT transactionno \nFROM salesTransactions \nWHERE country IS NOT NULL;\n```\n\nThis SQL query will return all the transaction numbers where the country is not null, meaning all the countries in the salesTransactions table.","cost":0.0000484,"response_parsed":"SELECT transactionno \nFROM salesTransactions \nWHERE country IS NOT NULL;","time":0.3916463852}}
+{"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":"```sql\nSELECT date \nFROM salesTransactions \nGROUP BY date \nHAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions);\n```\n\nThis SQL query will return all the dates where all countries are present in the `salesTransactions` table. \n\nHere's how it works:\n\n- `GROUP BY date` groups the rows by the `date` column.\n- `HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions)` filters the groups to only include those where all countries are present. This is done by comparing the count of distinct countries in each group to the total count of distinct countries in the table. If the count is equal, it means all countries are present for that date.","cost":0.0000706,"response_parsed":"SELECT date \nFROM salesTransactions \nGROUP BY date \nHAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions);","time":0.6435539722}}
+{"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":"```sql\nSELECT productno \nFROM salesTransactions \nGROUP BY productno \nHAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) \n                                  FROM salesTransactions);\n```\n\nThis SQL query will return all the product numbers that have all the countries present in the `salesTransactions` table. \n\nHere's how it works:\n\n- `GROUP BY productno` groups the rows by product number.\n- `COUNT(DISTINCT country)` counts the number of unique countries for each product number.\n- `HAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) FROM salesTransactions)` filters the results to only include product numbers that have all the countries present in the `salesTransactions` table. \n\nNote: This query assumes that there are no duplicate rows in the `salesTransactions` table. If there are duplicates, you may need to use a different approach to get the desired result.","cost":0.000077,"response_parsed":"SELECT productno \nFROM salesTransactions \nGROUP BY productno \nHAVING COUNT(DISTINCT country) = (SELECT COUNT(DISTINCT country) \n                                  FROM salesTransactions);","time":0.7496347427}}
+{"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":"```sql\nSELECT DISTINCT productname \nFROM salesTransactions;\n```\n\nThis SQL query will return all the unique product names from the `salesTransactions` table. \n\nHowever, if you want to fetch all the product names along with all the countries in the `salesTransactions` table, you can use the following query:\n\n```sql\nSELECT productname, country \nFROM salesTransactions;\n```\n\nThis query will return all the product names and their corresponding countries from the `salesTransactions` table. \n\nIf you want to fetch all the product names along with all the unique countries in the `salesTransactions` table, you can use the following query:\n\n```sql\nSELECT productname, country \nFROM salesTransactions \nGROUP BY productname;\n```\n\nThis query will return all the product names and their corresponding countries from the `salesTransactions` table, grouped by product name. \n\nIf you want to fetch all the product names along with all the unique countries in the `salesTransactions` table, you can use the following query:\n\n```sql\nSELECT DISTINCT productname, country \nFROM salesTransactions;\n```\n\nThis query will return all the unique product names and their corresponding countries from the `salesTransactions` table.","cost":0.000088,"response_parsed":"SELECT DISTINCT productname, country \nFROM salesTransactions;","time":0.8075106144}}
+{"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 *\nFROM fitnessTrackers\nORDER BY devicetype ASC;\n```\n\nThis SQL query will fetch all data from the `fitnessTrackers` table and order it by the `devicetype` column in ascending order.","cost":0.00005,"response_parsed":"SELECT *\nFROM fitnessTrackers\nORDER BY devicetype ASC;","time":0.3330922127}}
+{"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":"```sql\nSELECT *\nFROM fitnessTrackers\nORDER BY devicetype DESC;\n```\n\nThis SQL query will fetch all data from the `fitnessTrackers` table and order it by the `devicetype` column in descending order.","cost":0.00005,"response_parsed":"SELECT *\nFROM fitnessTrackers\nORDER BY devicetype DESC;","time":0.3986387253}}
+{"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 *\nFROM fitnessTrackers\nORDER BY strapmaterial ASC;\n```\n\nThis SQL query will fetch all data from the `fitnessTrackers` table and order it in ascending order based on the `strapmaterial` column.","cost":0.0000496,"response_parsed":"SELECT *\nFROM fitnessTrackers\nORDER BY strapmaterial ASC;","time":0.3408958912}}
+{"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```\n\nThis SQL query will fetch all data from the `fitnessTrackers` table and order it in descending order based on the `strapmaterial` column.","cost":0.0000496,"response_parsed":"SELECT *\nFROM fitnessTrackers\nORDER BY strapmaterial DESC;","time":0.4599499702}}
+{"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```\n\nThis SQL query will fetch the `sellingprice` from the `fitnessTrackers` table, ordered in ascending order. The `ASC` keyword is used to specify ascending order, but it's optional as ascending is the default order.","cost":0.000053,"response_parsed":"SELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice ASC;","time":0.4623472691}}
+{"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":"```sql\nSELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice DESC;\n```\n\nThis SQL query will return the `sellingprice` column from the `fitnessTrackers` table, ordered in descending order. The `DESC` keyword is used to specify the order as descending. If you want to order it in ascending order, you can replace `DESC` with `ASC`.","cost":0.0000554,"response_parsed":"SELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice DESC;","time":0.4814932346}}
+{"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":"```sql\nSELECT color \nFROM fitnessTrackers \nORDER BY color ASC;\n```\n\nThis SQL query will return all the colors from the `fitnessTrackers` table in ascending order. \n\nHowever, if you want to project the color along with other columns, you can use the following query:\n\n```sql\nSELECT brandname, devicetype, modelname, color \nFROM fitnessTrackers \nORDER BY color ASC;\n```\n\nThis query will return all the columns (`brandname`, `devicetype`, `modelname`, and `color`) from the `fitnessTrackers` table in ascending order of the `color` column.","cost":0.0000654,"response_parsed":"SELECT brandname, devicetype, modelname, color \nFROM fitnessTrackers \nORDER BY color ASC;","time":0.6021745205}}
+{"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":"```sql\nSELECT color\nFROM fitnessTrackers\nORDER BY color DESC;\n```\n\nThis SQL query will return all the colors from the `fitnessTrackers` table in descending order. If you want to limit the number of results, you can add a `LIMIT` clause, for example:\n\n```sql\nSELECT color\nFROM fitnessTrackers\nORDER BY color DESC\nLIMIT 10;\n```\n\nThis will return the top 10 colors in descending order.","cost":0.0000582,"response_parsed":"SELECT color\nFROM fitnessTrackers\nORDER BY color DESC\nLIMIT 10;","time":0.4899065495}}
+{"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```\n\nThis SQL query will fetch all data from the `salesTransactions` table and display it in ascending order based on the `transactionno` column.","cost":0.000049,"response_parsed":"SELECT *\nFROM salesTransactions\nORDER BY transactionno ASC;","time":0.3464336395}}
+{"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 *\nFROM salesTransactions\nORDER BY transactionno DESC;\n```\n\nThis SQL query will fetch all data from the `salesTransactions` table, ordered by the `transactionno` column in descending order. The `SELECT *` statement selects all columns (`*`) from the table, and the `ORDER BY` clause sorts the results in descending order based on the `transactionno` column.","cost":0.0000562,"response_parsed":"SELECT *\nFROM salesTransactions\nORDER BY transactionno DESC;","time":0.3981220722}}
+{"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":"```sql\nSELECT *\nFROM salesTransactions\nORDER BY price ASC;\n```\n\nThis SQL query will fetch all data from the `salesTransactions` table and order it by the `price` column in ascending order.","cost":0.0000482,"response_parsed":"SELECT *\nFROM salesTransactions\nORDER BY price ASC;","time":0.3557083607}}
+{"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 *\nFROM salesTransactions\nORDER BY price DESC;\n```\n\nThis SQL query will fetch all data from the `salesTransactions` table and order it by the `price` column in descending order. The `DESC` keyword is used to specify descending order.","cost":0.0000506,"response_parsed":"SELECT *\nFROM salesTransactions\nORDER BY price DESC;","time":0.4102926254}}
+{"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```\n\nThis SQL query will return a list of unique product numbers from the `salesTransactions` table, ordered in ascending order. \n\nIf you want to get all product numbers, not just unique ones, you can remove the `SELECT DISTINCT` part, but it's not necessary in this case because the `ORDER BY` clause already implies that we're dealing with a unique set of values.","cost":0.0000586,"response_parsed":"SELECT productno \nFROM salesTransactions \nORDER BY productno ASC;","time":0.7783222198}}
+{"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":"```sql\nSELECT productno \nFROM salesTransactions \nORDER BY productno DESC;\n```\n\nThis SQL query will return the `productno` column from the `salesTransactions` table, ordered in descending order.","cost":0.000048,"response_parsed":"SELECT productno \nFROM salesTransactions \nORDER BY productno DESC;","time":0.3015363216}}
+{"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":"```sql\nSELECT quantity\nFROM salesTransactions\nORDER BY quantity ASC;\n```\n\nThis SQL query will fetch the quantity ordered from the `salesTransactions` table in ascending order. \n\nHowever, if you want to project the quantity ordered along with other columns, you can use the following query:\n\n```sql\nSELECT transactionno, date, productno, productname, price, quantity, customerno, country\nFROM salesTransactions\nORDER BY quantity ASC;\n```\n\nThis query will fetch all the columns from the `salesTransactions` table in ascending order of the `quantity` column.","cost":0.0000628,"response_parsed":"SELECT transactionno, date, productno, productname, price, quantity, customerno, country\nFROM salesTransactions\nORDER BY quantity ASC;","time":0.495177269}}
+{"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```\n\nThis SQL query will fetch the quantity ordered from the `salesTransactions` table in descending order. \n\nHowever, if you want to project the quantity ordered along with other columns (e.g., product name, date, etc.) in descending order, you can use the following query:\n\n```sql\nSELECT transactionno, date, productname, price, quantity \nFROM salesTransactions \nORDER BY quantity DESC;\n```","cost":0.000059,"response_parsed":"SELECT transactionno, date, productname, price, quantity \nFROM salesTransactions \nORDER BY quantity DESC;","time":0.5301938057}}
+{"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 \nFROM fitnessTrackers;\n```\n\nThis SQL query will fetch all the `originalprice` values from the `fitnessTrackers` table.","cost":0.0000458,"response_parsed":"SELECT originalprice \nFROM fitnessTrackers;","time":0.3398213387}}
+{"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 \nFROM fitnessTrackers;\n```\n\nThis SQL query will return all the values in the `averagebatterylife` column from the `fitnessTrackers` table.","cost":0.0000482,"response_parsed":"SELECT averagebatterylife \nFROM fitnessTrackers;","time":0.6886341572}}
+{"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 \nFROM fitnessTrackers;\n```\n\nThis SQL query will fetch all the unique 'devicetype' from the 'fitnessTrackers' table. If you want to fetch all the rows, you can remove the 'SELECT DISTINCT' keyword.","cost":0.0000502,"response_parsed":"SELECT devicetype \nFROM fitnessTrackers;","time":0.5000803471}}
+{"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":"```sql\nSELECT *\nFROM fitnessTrackers;\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table.","cost":0.0000448,"response_parsed":"SELECT *\nFROM fitnessTrackers;","time":0.4223282337}}
+{"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 \nFROM fitnessTrackers;\n```\n\nThis SQL query will fetch all the brand names from the `fitnessTrackers` table.","cost":0.0000452,"response_parsed":"SELECT brandname \nFROM fitnessTrackers;","time":0.4886445999}}
+{"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 *\nFROM fitnessTrackers;\n```\n\nThis SQL query will return all rows from the `fitnessTrackers` table.","cost":0.0000444,"response_parsed":"SELECT *\nFROM fitnessTrackers;","time":0.3568763733}}
+{"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 \nFROM fitnessTrackers;\n```\n\nThis SQL query will fetch all the selling prices from the `fitnessTrackers` table.","cost":0.0000452,"response_parsed":"SELECT sellingprice \nFROM fitnessTrackers;","time":0.3144359589}}
+{"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":"```sql\nSELECT \n  strapmaterial,\n  AVG(averagebatterylife) AS averagebatterylife\nFROM \n  fitnessTrackers\nGROUP BY \n  strapmaterial;\n```\n\nThis SQL query will return all unique strap materials from the `fitnessTrackers` table along with their average battery life. The `AVG` function is used to calculate the average battery life for each strap material. The `GROUP BY` clause is used to group the results by strap material.","cost":0.00006,"response_parsed":"SELECT \n  strapmaterial,\n  AVG(averagebatterylife) AS averagebatterylife\nFROM \n  fitnessTrackers\nGROUP BY \n  strapmaterial;","time":0.5594081879}}
+{"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":"```sql\nSELECT \n    sellingprice,\n    modelname,\n    color\nFROM \n    fitnessTrackers;\n```\n\nThis SQL query will fetch all the rows from the `fitnessTrackers` table and return the `sellingprice`, `modelname`, and `color` columns.","cost":0.0000514,"response_parsed":"SELECT \n    sellingprice,\n    modelname,\n    color\nFROM \n    fitnessTrackers;","time":0.5618650913}}
+{"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 \n    modelname, \n    brandname, \n    color, \n    averagebatterylife\nFROM \n    fitnessTrackers;\n```\n\nThis SQL query will fetch all the required columns (`modelname`, `brandname`, `color`, `averagebatterylife`) from the `fitnessTrackers` table.","cost":0.0000552,"response_parsed":"SELECT \n    modelname, \n    brandname, \n    color, \n    averagebatterylife\nFROM \n    fitnessTrackers;","time":0.3912241459}}
+{"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 \n    devicetype,\n    modelname,\n    brandname,\n    averagebatterylife,\n    display\nFROM \n    fitnessTrackers;\n```\n\nThis SQL query will fetch all the required columns (`devicetype`, `modelname`, `brandname`, `averagebatterylife`, and `display`) from the `fitnessTrackers` table.","cost":0.0000576,"response_parsed":"SELECT \n    devicetype,\n    modelname,\n    brandname,\n    averagebatterylife,\n    display\nFROM \n    fitnessTrackers;","time":0.6308305264}}
+{"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 \n    rating,\n    averagebatterylife,\n    originalprice,\n    sellingprice,\n    brandname,\n    strapmaterial\nFROM \n    fitnessTrackers;\n```\n\nThis SQL query will fetch all the specified columns from the `fitnessTrackers` table.","cost":0.0000538,"response_parsed":"SELECT \n    rating,\n    averagebatterylife,\n    originalprice,\n    sellingprice,\n    brandname,\n    strapmaterial\nFROM \n    fitnessTrackers;","time":0.3933396339}}
+{"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 \n  strapmaterial,\n  rating,\n  averagebatterylife,\n  brandname,\n  display,\n  sellingprice,\n  devicetype\nFROM \n  fitnessTrackers;\n```\n\nThis SQL code will fetch all the specified columns from the `fitnessTrackers` table in the database.","cost":0.0000558,"response_parsed":"SELECT \n  strapmaterial,\n  rating,\n  averagebatterylife,\n  brandname,\n  display,\n  sellingprice,\n  devicetype\nFROM \n  fitnessTrackers;","time":0.4048631191}}
+{"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":"```sql\nSELECT \n  averagebatterylife,\n  devicetype,\n  strapmaterial,\n  brandname,\n  rating,\n  color,\n  sellingprice,\n  modelname\nFROM \n  fitnessTrackers;\n```\n\nThis SQL query will fetch all the specified columns from the `fitnessTrackers` table. The `SELECT` statement is used to specify the columns to be retrieved, and the `FROM` clause is used to specify the table from which to retrieve the data.","cost":0.0000634,"response_parsed":"SELECT \n  averagebatterylife,\n  devicetype,\n  strapmaterial,\n  brandname,\n  rating,\n  color,\n  sellingprice,\n  modelname\nFROM \n  fitnessTrackers;","time":0.468634367}}
+{"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```\n\nThis SQL query will fetch all the specified columns from the `fitnessTrackers` table.","cost":0.000058,"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":0.3447782993}}
+{"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":"```sql\nSELECT productno \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the product numbers from the `salesTransactions` table.","cost":0.0000446,"response_parsed":"SELECT productno \nFROM salesTransactions;","time":0.3508718014}}
+{"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 \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the unique countries from the `salesTransactions` table. If you want to fetch all the countries along with other information, you can use the following query:\n\n```sql\nSELECT * \nFROM salesTransactions;\n```\n\nThis query will fetch all the rows from the `salesTransactions` table, including the country column.","cost":0.0000546,"response_parsed":"SELECT * \nFROM salesTransactions;","time":0.4926316738}}
+{"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":"```sql\nSELECT transactionno \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the transaction numbers from the `salesTransactions` table.","cost":0.0000446,"response_parsed":"SELECT transactionno \nFROM salesTransactions;","time":0.3417730331}}
+{"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 \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the prices from the `salesTransactions` table. \n\nIf you want to fetch all columns from the table, you can use the following query:\n\n```sql\nSELECT * \nFROM salesTransactions;\n```\n\nHowever, if you want to fetch all prices along with other columns, you can use the following query:\n\n```sql\nSELECT transactionno, date, productno, productname, price, quantity, customerno, country \nFROM salesTransactions;\n```","cost":0.0000602,"response_parsed":"SELECT transactionno, date, productno, productname, price, quantity, customerno, country \nFROM salesTransactions;","time":0.6517703533}}
+{"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 \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the product names from the `salesTransactions` table.","cost":0.0000446,"response_parsed":"SELECT productname \nFROM salesTransactions;","time":0.5008769035}}
+{"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":"```sql\nSELECT *\nFROM salesTransactions;\n```\n\nThis SQL code will fetch all the rows from the `salesTransactions` table. The `SELECT *` statement selects all columns (`*`) from the specified table.","cost":0.0000474,"response_parsed":"SELECT *\nFROM salesTransactions;","time":0.3578560352}}
+{"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":"```sql\nSELECT quantity \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the 'quantity' values from the 'salesTransactions' table.","cost":0.0000446,"response_parsed":"SELECT quantity \nFROM salesTransactions;","time":0.3588471413}}
+{"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 \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the 'price' and 'productno' from the 'salesTransactions' table.","cost":0.0000466,"response_parsed":"SELECT price, productno \nFROM salesTransactions;","time":0.3540091515}}
+{"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 \nFROM salesTransactions;\n```\n\nThis SQL query will fetch all the price, customerno, and date from the salesTransactions table. \n\nNote: The `customerno` field in the salesTransactions table is defined as REAL, which is typically used for floating-point numbers. However, in the context of a customer number, it's more likely that it should be an INTEGER or a TEXT field. If it's supposed to be a customer ID, it's recommended to change its data type to INTEGER or TEXT.","cost":0.000062,"response_parsed":"SELECT price, customerno, date \nFROM salesTransactions;","time":0.6168143749}}
+{"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 \n  productno,\n  customerno,\n  quantity,\n  productname\nFROM \n  salesTransactions;\n```\n\nThis SQL query will fetch all the required columns (`productno`, `customerno`, `quantity`, `productname`) from the `salesTransactions` table.","cost":0.0000522,"response_parsed":"SELECT \n  productno,\n  customerno,\n  quantity,\n  productname\nFROM \n  salesTransactions;","time":0.3858861923}}
+{"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```\n\nThis SQL query will fetch all the required columns (`date`, `quantity`, `productno`, `price`, and `country`) from the `salesTransactions` table.","cost":0.0000512,"response_parsed":"SELECT date, quantity, productno, price, country\nFROM salesTransactions;","time":0.413946867}}
+{"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 \n  productno,\n  price,\n  country,\n  customerno,\n  transactionno,\n  productname\nFROM \n  salesTransactions;\n```\n\nThis SQL query will fetch all the specified columns from the `salesTransactions` table.","cost":0.0000516,"response_parsed":"SELECT \n  productno,\n  price,\n  country,\n  customerno,\n  transactionno,\n  productname\nFROM \n  salesTransactions;","time":0.3838458061}}
+{"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":"```sql\nSELECT \n  price,\n  date,\n  transactionno,\n  productno,\n  customerno,\n  country,\n  quantity\nFROM \n  salesTransactions;\n```\n\nThis SQL query will fetch all the required columns (`price`, `date`, `transactionno`, `productno`, `customerno`, `country`, `quantity`) from the `salesTransactions` table.","cost":0.000057,"response_parsed":"SELECT \n  price,\n  date,\n  transactionno,\n  productno,\n  customerno,\n  country,\n  quantity\nFROM \n  salesTransactions;","time":0.5879797935}}
+{"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":"```sql\nSELECT *\nFROM fitnessTrackers\nWHERE color = 'White';\n```\n\nThis SQL query will fetch all columns (`*`) from the `fitnessTrackers` table where the `color` is equal to `'White'`.","cost":0.0000494,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE color = 'White';","time":0.3706438541}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `color` is not equal to `'Black'`.","cost":0.0000496,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE color != 'Black';","time":0.3470876217}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `color` is not equal to 'Black'.","cost":0.0000494,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE color != 'Black';","time":0.4437243938}}
+{"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":"```sql\nSELECT *\nFROM fitnessTrackers\nWHERE strapmaterial = 'Thermoplastic polyurethane';\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `strapmaterial` is equal to 'Thermoplastic polyurethane'.","cost":0.0000532,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE strapmaterial = 'Thermoplastic polyurethane';","time":0.332719326}}
+{"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":"```sql\nSELECT *\nFROM fitnessTrackers\nWHERE strapmaterial != 'Thermoplastic polyurethane';\n```\n\nThis SQL query will fetch all the data from the `fitnessTrackers` table where the `strapmaterial` is not equal to 'Thermoplastic polyurethane'.","cost":0.000053,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE strapmaterial != 'Thermoplastic polyurethane';","time":0.3936138153}}
+{"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 *\nFROM fitnessTrackers\nWHERE strapmaterial != 'Aluminium';\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `strapmaterial` is not equal to `'Aluminium'`.","cost":0.0000506,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE strapmaterial != 'Aluminium';","time":0.4936039448}}
+{"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 *\nFROM fitnessTrackers\nWHERE display = 'TFT-LCD Display';\n```\n\nThis SQL query will fetch all columns (`*`) from the `fitnessTrackers` table where the `display` column is equal to `'TFT-LCD Display'`.","cost":0.0000518,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE display = 'TFT-LCD Display';","time":0.4532186985}}
+{"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":"```sql\nSELECT *\nFROM fitnessTrackers\nWHERE display != 'TFT-LCD Display';\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `display` column is not equal to `'TFT-LCD Display'`.","cost":0.000052,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE display != 'TFT-LCD Display';","time":0.3738980293}}
+{"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 *\nFROM fitnessTrackers\nWHERE display != 'AMOLED Display';\n```\n\nThis SQL query will fetch all the data from the `fitnessTrackers` table where the `display` column does not equal 'AMOLED Display'.","cost":0.0000508,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE display != 'AMOLED Display';","time":0.6688585281}}
+{"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```\n\nThis SQL code will fetch all columns (`*`) from the `fitnessTrackers` table where the `averagebatterylife` is greater than 14.","cost":0.0000518,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE averagebatterylife > 14;","time":0.4313099384}}
+{"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 *\nFROM fitnessTrackers\nWHERE sellingprice > 45690.0;\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `sellingprice` is greater than 45690.0.","cost":0.0000518,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE sellingprice > 45690.0;","time":0.3545255661}}
+{"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":"```sql\nSELECT *\nFROM fitnessTrackers\nWHERE sellingprice < 46990.0;\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `sellingprice` is less than 46990.0.","cost":0.0000518,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE sellingprice < 46990.0;","time":0.3751466274}}
+{"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 *\nFROM fitnessTrackers\nWHERE rating > 4.6;\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `rating` is greater than 4.6.","cost":0.0000506,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE rating > 4.6;","time":0.3456032276}}
+{"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 *\nFROM fitnessTrackers\nWHERE rating < 4.0;\n```\n\nThis SQL query will return all columns (`*`) from the `fitnessTrackers` table where the `rating` is less than 4.0.","cost":0.0000506,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE rating < 4.0;","time":0.3181941509}}
+{"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":"```sql\nSELECT *\nFROM salesTransactions\nWHERE date = '12\/1\/2018';\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `date` column is equal to '12\/1\/2018'.","cost":0.000052,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date = '12\/1\/2018';","time":0.4310760498}}
+{"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":"```sql\nSELECT *\nFROM salesTransactions\nWHERE date != '9\/15\/2019';\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `date` column is not equal to '9\/15\/2019'.","cost":0.0000522,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date != '9\/15\/2019';","time":0.3783946037}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `date` column does not equal '12\/1\/2018'.","cost":0.000052,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date != '12\/1\/2018';","time":0.457916975}}
+{"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 *\nFROM salesTransactions\nWHERE transactionno = 566959;\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `transactionno` is equal to 566959.","cost":0.00005,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE transactionno = 566959;","time":0.3936533928}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `transactionno` is not equal to `'579557'`.","cost":0.0000504,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE transactionno != '579557';","time":0.447722435}}
+{"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":"```sql\nSELECT *\nFROM salesTransactions\nWHERE transactionno != '549047';\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `transactionno` is not equal to `'549047'`.","cost":0.0000504,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE transactionno != '549047';","time":0.442617178}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `productname` is equal to 'Metal-4-Hook-Hanger-French-Chateau'.","cost":0.0000552,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';","time":0.4955992699}}
+{"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 *\nFROM salesTransactions\nWHERE productname != 'Skulls-Water-Transfer-Tattoos';\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `productname` is not equal to `'Skulls-Water-Transfer-Tattoos'`.","cost":0.0000544,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE productname != 'Skulls-Water-Transfer-Tattoos';","time":0.4525508881}}
+{"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":"```sql\nSELECT *\nFROM salesTransactions\nWHERE productname != 'Pink-Party-Bags';\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `productname` is not equal to `'Pink-Party-Bags'`.","cost":0.000052,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE productname != 'Pink-Party-Bags';","time":0.3678047657}}
+{"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 *\nFROM salesTransactions\nWHERE price > 13.27;\n```\n\nThis SQL query will fetch all columns (`*`) from the `salesTransactions` table where the `price` is greater than 13.27.","cost":0.00005,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE price > 13.27;","time":0.421889782}}
+{"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```\n\nThis SQL query will fetch all columns (`*`) from the `salesTransactions` table where the `price` is less than 6.19.","cost":0.00005,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE price < 6.19;","time":0.297658205}}
+{"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 *\nFROM salesTransactions\nWHERE quantity > 2;\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `quantity` is greater than 2.","cost":0.0000488,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE quantity > 2;","time":0.3952620029}}
+{"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 *\nFROM salesTransactions\nWHERE quantity < 1;\n```\n\nThis SQL query will return all columns (`*`) from the `salesTransactions` table where the `quantity` is less than 1.","cost":0.0000488,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE quantity < 1;","time":0.6649215221}}
+{"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":"```sql\nSELECT *\nFROM salesTransactions\nWHERE customerno > 14001.0;\n```\n\nThis SQL query will fetch all columns (`*`) from the `salesTransactions` table where the `customerno` is greater than 14001.0.","cost":0.0000512,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE customerno > 14001.0;","time":0.4141783714}}
+{"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 *\nFROM salesTransactions\nWHERE customerno < 14001.0;\n```\n\nThis SQL code will fetch all columns (`*`) from the `salesTransactions` table where the `customerno` is less than 14001.0.","cost":0.0000512,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE customerno < 14001.0;","time":0.3332080841}}
+{"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":"```sql\nSELECT COUNT(DISTINCT strapmaterial) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the number of different strap materials found in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `strapmaterial` column.","cost":0.000052,"response_parsed":"SELECT COUNT(DISTINCT strapmaterial) \nFROM fitnessTrackers;","time":0.3871526718}}
+{"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) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the number of different brand names in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `brandname` column.","cost":0.0000518,"response_parsed":"SELECT COUNT(DISTINCT brandname) \nFROM fitnessTrackers;","time":0.4254119396}}
+{"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":"```sql\nSELECT COUNT(DISTINCT modelname) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the number of different model names in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `modelname` column.","cost":0.0000518,"response_parsed":"SELECT COUNT(DISTINCT modelname) \nFROM fitnessTrackers;","time":0.3985791206}}
+{"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":"```sql\nSELECT COUNT(DISTINCT color) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the number of different colors in the `fitnessTrackers` table. The `COUNT(DISTINCT color)` function counts the number of unique values in the `color` column.","cost":0.0000506,"response_parsed":"SELECT COUNT(DISTINCT color) \nFROM fitnessTrackers;","time":0.5088579655}}
+{"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":"```sql\nSELECT COUNT(DISTINCT \"display\") \nFROM \"fitnessTrackers\";\n```\n\nThis SQL query will return the number of different displays in the `fitnessTrackers` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.000051,"response_parsed":"SELECT COUNT(DISTINCT \"display\") \nFROM \"fitnessTrackers\";","time":0.6549613476}}
+{"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":"```sql\nSELECT MAX(rating) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the maximum rating from the `fitnessTrackers` table.","cost":0.0000454,"response_parsed":"SELECT MAX(rating) \nFROM fitnessTrackers;","time":0.3392112255}}
+{"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":"```sql\nSELECT MIN(\"rating\") \nFROM \"fitnessTrackers\";\n```\n\nThis SQL query will return the minimum rating for the table `fitnessTrackers`.","cost":0.0000454,"response_parsed":"SELECT MIN(\"rating\") \nFROM \"fitnessTrackers\";","time":0.335909605}}
+{"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":"```sql\nSELECT AVG(rating) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the average rating for all fitness trackers in the `fitnessTrackers` table.","cost":0.0000462,"response_parsed":"SELECT AVG(rating) \nFROM fitnessTrackers;","time":0.4322736263}}
+{"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":"```sql\nSELECT MAX(originalprice) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the maximum original price from the `fitnessTrackers` table.","cost":0.0000458,"response_parsed":"SELECT MAX(originalprice) \nFROM fitnessTrackers;","time":0.3636722565}}
+{"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) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the minimum original price for the products in the `fitnessTrackers` table.","cost":0.0000464,"response_parsed":"SELECT MIN(originalprice) \nFROM fitnessTrackers;","time":0.343136549}}
+{"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) \nFROM fitnessTrackers;\n```\n\nThis SQL query will return the average original price of all fitness trackers in the `fitnessTrackers` table.","cost":0.0000466,"response_parsed":"SELECT AVG(originalprice) \nFROM fitnessTrackers;","time":0.376108408}}
+{"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":"```sql\nSELECT COUNT(DISTINCT transactionno) \nFROM salesTransactions;\n```\n\nThis SQL query will return the number of unique transaction numbers in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.0000506,"response_parsed":"SELECT COUNT(DISTINCT transactionno) \nFROM salesTransactions;","time":0.4121899605}}
+{"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":"```sql\nSELECT COUNT(DISTINCT date) \nFROM salesTransactions;\n```\n\nThis SQL query will return the number of different dates in the `salesTransactions` table. The `DISTINCT` keyword is used to remove duplicate dates, and the `COUNT` function is used to count the number of unique dates.","cost":0.0000514,"response_parsed":"SELECT COUNT(DISTINCT date) \nFROM salesTransactions;","time":0.936085701}}
+{"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":"```sql\nSELECT COUNT(DISTINCT productno) \nFROM salesTransactions;\n```\n\nThis SQL query will return the number of different product numbers in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `productno` column.","cost":0.0000512,"response_parsed":"SELECT COUNT(DISTINCT productno) \nFROM salesTransactions;","time":0.4737308025}}
+{"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":"```sql\nSELECT COUNT(DISTINCT productname) \nFROM salesTransactions;\n```\n\nThis SQL query will return the number of different product names in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `productname` column.","cost":0.0000512,"response_parsed":"SELECT COUNT(DISTINCT productname) \nFROM salesTransactions;","time":0.3200917244}}
+{"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":"```sql\nSELECT COUNT(DISTINCT country) \nFROM salesTransactions;\n```\n\nThis SQL query will return the number of different countries found in the `salesTransactions` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `country` column.","cost":0.0000506,"response_parsed":"SELECT COUNT(DISTINCT country) \nFROM salesTransactions;","time":0.3882069588}}
+{"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":"```sql\nSELECT MAX(price) \nFROM salesTransactions;\n```\n\nThis SQL query will return the maximum price from the `salesTransactions` table. \n\nIf you want to get the maximum price along with other information (like the product name, date, etc.), you can use the following query:\n\n```sql\nSELECT productname, date, MAX(price) as max_price \nFROM salesTransactions \nGROUP BY productname, date;\n```\n\nThis query will return the product name, date, and the maximum price for each combination of product name and date. \n\nIf you want to get the maximum price for each product, you can use the following query:\n\n```sql\nSELECT productname, MAX(price) as max_price \nFROM salesTransactions \nGROUP BY productname;\n```","cost":0.0000698,"response_parsed":"SELECT productname, MAX(price) as max_price \nFROM salesTransactions \nGROUP BY productname;","time":0.5400893688}}
+{"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":"```sql\nSELECT MIN(price) \nFROM salesTransactions;\n```\n\nThis SQL query will return the minimum price from the `salesTransactions` table.","cost":0.0000446,"response_parsed":"SELECT MIN(price) \nFROM salesTransactions;","time":0.2987315655}}
+{"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":"```sql\nSELECT AVG(price) \nFROM salesTransactions;\n```\n\nThis SQL query will return the average price for all transactions in the `salesTransactions` table. \n\nIf you want to filter the results by a specific product or customer, you can add a `WHERE` clause to the query. For example:\n\n```sql\nSELECT AVG(price) \nFROM salesTransactions \nWHERE productname = 'Product A';\n```\n\nThis query will return the average price for all transactions of 'Product A'.","cost":0.0000586,"response_parsed":"SELECT AVG(price) \nFROM salesTransactions \nWHERE productname = 'Product A';","time":0.585960865}}
+{"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) \nFROM salesTransactions;\n```\n\nThis SQL query will return the maximum customer number from the `salesTransactions` table.","cost":0.0000452,"response_parsed":"SELECT MAX(customerno) \nFROM salesTransactions;","time":0.376052618}}
+{"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":"```sql\nSELECT MIN(customerno) \nFROM salesTransactions;\n```\n\nThis SQL query will return the minimum `customerno` from the `salesTransactions` table.","cost":0.0000456,"response_parsed":"SELECT MIN(customerno) \nFROM salesTransactions;","time":0.2995040417}}
+{"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":"```sql\nSELECT AVG(customerno) \nFROM salesTransactions;\n```\n\nThis SQL query will return the average value of the `customerno` column in the `salesTransactions` table.","cost":0.0000464,"response_parsed":"SELECT AVG(customerno) \nFROM salesTransactions;","time":0.470105648}}
+{"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":"```sql\nSELECT DISTINCT paymenttype \nFROM accountFraud;\n```\n\nThis SQL code will fetch all the unique payment types from the `accountFraud` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000552,"response_parsed":"SELECT DISTINCT paymenttype \nFROM accountFraud;","time":0.4410517216}}
+{"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":"```sql\nSELECT DISTINCT housingstatus \nFROM accountFraud;\n```\n\nThis SQL query will return a list of unique housing statuses from the `accountFraud` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000552,"response_parsed":"SELECT DISTINCT housingstatus \nFROM accountFraud;","time":0.4202709198}}
+{"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":"```sql\nSELECT DISTINCT deviceos \nFROM accountFraud;\n```\n\nThis SQL code will fetch the different deviceos from the table accountFraud. The DISTINCT keyword is used to return only unique values.","cost":0.000054,"response_parsed":"SELECT DISTINCT deviceos \nFROM accountFraud;","time":0.3868451118}}
+{"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":"```sql\nSELECT DISTINCT emailisfree \nFROM accountFraud;\n```\n\nThis SQL query will return all the unique values in the `emailisfree` column from the `accountFraud` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000568,"response_parsed":"SELECT DISTINCT emailisfree \nFROM accountFraud;","time":0.3976714611}}
+{"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```\n\nThis SQL query will return all the unique values in the `hasothercards` column of the `accountFraud` table.","cost":0.0000542,"response_parsed":"SELECT DISTINCT hasothercards \nFROM accountFraud;","time":0.3475677967}}
+{"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":"```sql\nSELECT DISTINCT customerid \nFROM latePayment;\n```\n\nThis SQL query will return a list of unique customer IDs from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000546,"response_parsed":"SELECT DISTINCT customerid \nFROM latePayment;","time":0.3406751156}}
+{"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":"```sql\nSELECT DISTINCT invoicedate \nFROM latePayment;\n```\n\nThis SQL code will fetch all the unique invoicedate from the table `latePayment`. The `DISTINCT` keyword is used to return only unique values.","cost":0.000055,"response_parsed":"SELECT DISTINCT invoicedate \nFROM latePayment;","time":0.4748971462}}
+{"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":"```sql\nSELECT DISTINCT duedate \nFROM latePayment;\n```\n\nThis SQL query will return a list of unique due dates from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.000055,"response_parsed":"SELECT DISTINCT duedate \nFROM latePayment;","time":0.3705618382}}
+{"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":"```sql\nSELECT DISTINCT paperlessbill \nFROM latePayment;\n```\n\nThis SQL code will fetch all the different values of the `paperlessbill` column from the `latePayment` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000564,"response_parsed":"SELECT DISTINCT paperlessbill \nFROM latePayment;","time":0.4271018505}}
+{"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":"```sql\nSELECT DISTINCT disputed \nFROM latePayment;\n```\n\nThis SQL query will fetch all the unique values in the `disputed` column from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000552,"response_parsed":"SELECT DISTINCT disputed \nFROM latePayment;","time":0.3311550617}}
+{"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":"```sql\nSELECT \n    employmentstatus,\n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    employmentstatus;\n```\n\nThis SQL query will return a list of employment statuses along with the count of rows for each status in the `accountFraud` table. The `GROUP BY` clause groups the rows by the `employmentstatus` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000648,"response_parsed":"SELECT \n    employmentstatus,\n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    employmentstatus;","time":0.5129201412}}
+{"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":"```sql\nSELECT \n    deviceos, \n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    deviceos;\n```\n\nThis SQL query will return a list of deviceos with the count of rows in the accountFraud table for each deviceos. The GROUP BY clause groups the rows by the deviceos column, and the COUNT(*) function counts the number of rows in each group.","cost":0.0000634,"response_parsed":"SELECT \n    deviceos, \n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    deviceos;","time":0.4372167587}}
+{"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":"```sql\nSELECT \n    emailisfree,\n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;\n```\n\nThis SQL query will return a result set with two columns: `emailisfree` and `count`. The `emailisfree` column will contain the unique values from the `emailisfree` column in the `accountFraud` table, and the `count` column will contain the number of rows for each unique `emailisfree` value.","cost":0.0000676,"response_parsed":"SELECT \n    emailisfree,\n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;","time":0.6370971203}}
+{"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":"```sql\nSELECT \n    hasothercards, \n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    hasothercards;\n```\n\nThis SQL query will return a list of unique values in the `hasothercards` column along with the count of rows for each value. The `GROUP BY` clause groups the rows by the `hasothercards` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000658,"response_parsed":"SELECT \n    hasothercards, \n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    hasothercards;","time":0.4177508354}}
+{"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":"```sql\nSELECT \n    housingstatus, \n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    housingstatus;\n```\n\nThis SQL query will return a table with two columns: `housingstatus` and `count`. The `housingstatus` column will contain the different housing statuses found in the `accountFraud` table, and the `count` column will contain the number of rows for each housing status.","cost":0.0000644,"response_parsed":"SELECT \n    housingstatus, \n    COUNT(*) as count\nFROM \n    accountFraud\nGROUP BY \n    housingstatus;","time":0.4269537926}}
+{"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":"```sql\nSELECT \n    emailisfree,\n    MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;\n```\n\nThis SQL query will return the minimum `dateofbirthdistinctemails4w` for each unique `emailisfree` in the `accountFraud` table. The `GROUP BY` clause groups the rows by `emailisfree`, and the `MIN` function calculates the minimum `dateofbirthdistinctemails4w` for each group.","cost":0.0000712,"response_parsed":"SELECT \n    emailisfree,\n    MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;","time":0.5540549755}}
+{"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":"```sql\nSELECT \n    emailisfree,\n    MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;\n```\n\nThis SQL query will return the maximum value of `dateofbirthdistinctemails4w` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will include the `emailisfree` value and the corresponding maximum `dateofbirthdistinctemails4w` value.","cost":0.0000702,"response_parsed":"SELECT \n    emailisfree,\n    MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;","time":0.5609762669}}
+{"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":"```sql\nSELECT \n    emailisfree,\n    AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;\n```\n\nThis SQL query will return the average of `dateofbirthdistinctemails4w` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will be grouped by `emailisfree`, and the average value will be calculated for each group.","cost":0.0000692,"response_parsed":"SELECT \n    emailisfree,\n    AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;","time":0.4927752018}}
+{"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":"```sql\nSELECT \n    emailisfree,\n    SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;\n```\n\nThis SQL query will return the sum of `dateofbirthdistinctemails4w` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will be grouped by `emailisfree` and the sum of `dateofbirthdistinctemails4w` will be calculated for each group.","cost":0.000071,"response_parsed":"SELECT \n    emailisfree,\n    SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;","time":0.619484663}}
+{"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":"```sql\nSELECT \n    emailisfree,\n    MIN(sessionlengthminutes) AS min_session_length\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;\n```\n\nThis SQL query will return the minimum session length for each unique emailisfree in the accountFraud table. The result will include the emailisfree and the corresponding minimum session length.","cost":0.000062,"response_parsed":"SELECT \n    emailisfree,\n    MIN(sessionlengthminutes) AS min_session_length\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;","time":0.467436552}}
+{"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":"```sql\nSELECT emailisfree, MAX(sessionlengthminutes) as max_session_length\nFROM accountFraud\nGROUP BY emailisfree;\n```\n\nThis SQL query will return the `emailisfree` and the maximum `sessionlengthminutes` for each unique `emailisfree` in the `accountFraud` table. The `GROUP BY` clause is used to group the results by `emailisfree`, and the `MAX` function is used to find the maximum `sessionlengthminutes` for each group.","cost":0.0000682,"response_parsed":"SELECT emailisfree, MAX(sessionlengthminutes) as max_session_length\nFROM accountFraud\nGROUP BY emailisfree;","time":0.4395124912}}
+{"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":"```sql\nSELECT AVG(sessionlengthminutes) \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nThis SQL query will return the average session length in minutes for all rows in the `accountFraud` table where `emailisfree` is 'true'.","cost":0.0000584,"response_parsed":"SELECT AVG(sessionlengthminutes) \nFROM accountFraud \nWHERE emailisfree = 'true';","time":0.3324589729}}
+{"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":"```sql\nSELECT \n    emailisfree,\n    SUM(sessionlengthminutes) AS total_session_length\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;\n```\n\nThis SQL query will return the sum of `sessionlengthminutes` for each unique value in the `emailisfree` column in the `accountFraud` table. The result will be grouped by `emailisfree` and the total `sessionlengthminutes` will be displayed as `total_session_length` for each group.","cost":0.0000678,"response_parsed":"SELECT \n    emailisfree,\n    SUM(sessionlengthminutes) AS total_session_length\nFROM \n    accountFraud\nGROUP BY \n    emailisfree;","time":0.5099272728}}
+{"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":"```sql\nSELECT \n  employmentstatus,\n  MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;\n```\n\nThis SQL query will return the minimum value of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The result will include the `employmentstatus` and the corresponding minimum `dateofbirthdistinctemails4w` value.","cost":0.0000682,"response_parsed":"SELECT \n  employmentstatus,\n  MIN(dateofbirthdistinctemails4w) AS min_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;","time":0.5682256222}}
+{"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":"```sql\nSELECT \n  employmentstatus,\n  MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;\n```\n\nThis SQL query will return the maximum value of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The `GROUP BY` clause groups the rows by `employmentstatus`, and the `MAX` function is used to find the maximum value of `dateofbirthdistinctemails4w` for each group.","cost":0.0000716,"response_parsed":"SELECT \n  employmentstatus,\n  MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;","time":0.5859489441}}
+{"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":"```sql\nSELECT \n  employmentstatus,\n  AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;\n```\n\nThis SQL query will return the average of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The results will be grouped by `employmentstatus` and the average value will be calculated for each group.","cost":0.0000674,"response_parsed":"SELECT \n  employmentstatus,\n  AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;","time":0.7994074821}}
+{"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":"```sql\nSELECT \n  employmentstatus, \n  SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;\n```\n\nThis SQL query will return the sum of `dateofbirthdistinctemails4w` for each unique `employmentstatus` in the `accountFraud` table. The result will be grouped by `employmentstatus`, and the sum of `dateofbirthdistinctemails4w` will be displayed as `total_dateofbirthdistinctemails4w` for each group.","cost":0.0000716,"response_parsed":"SELECT \n  employmentstatus, \n  SUM(dateofbirthdistinctemails4w) AS total_dateofbirthdistinctemails4w\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;","time":0.4772171974}}
+{"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":"```sql\nSELECT \n  employmentstatus,\n  MIN(sessionlengthminutes) AS min_session_length\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;\n```\n\nThis SQL query will return the employment status and the minimum session length in minutes for each employment status in the `accountFraud` table. The `GROUP BY` clause groups the rows by the `employmentstatus` column, and the `MIN` function calculates the minimum `sessionlengthminutes` for each group.","cost":0.0000666,"response_parsed":"SELECT \n  employmentstatus,\n  MIN(sessionlengthminutes) AS min_session_length\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;","time":0.5114605427}}
+{"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":"```sql\nSELECT employmentstatus, MAX(sessionlengthminutes) as max_session_length\nFROM accountFraud\nGROUP BY employmentstatus;\n```\n\nThis SQL query will return the employment status and the maximum session length in minutes for each employment status in the `accountFraud` table. \n\nHere's how it works:\n\n- `SELECT employmentstatus, MAX(sessionlengthminutes)`: This selects the `employmentstatus` column and the maximum value of the `sessionlengthminutes` column.\n- `FROM accountFraud`: This specifies the table to query, which is `accountFraud`.\n- `GROUP BY employmentstatus`: This groups the results by the `employmentstatus` column, so that the maximum session length is calculated separately for each employment status.","cost":0.000077,"response_parsed":"SELECT employmentstatus, MAX(sessionlengthminutes) as max_session_length\nFROM accountFraud\nGROUP BY employmentstatus;","time":0.9152202606}}
+{"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 \n  employmentstatus, \n  AVG(sessionlengthminutes) AS avg_session_length\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;\n```\n\nThis SQL query will return the average session length in minutes for each employment status in the `accountFraud` table. The `GROUP BY` clause groups the results by the `employmentstatus` column, and the `AVG` function calculates the average `sessionlengthminutes` for each group.","cost":0.0000662,"response_parsed":"SELECT \n  employmentstatus, \n  AVG(sessionlengthminutes) AS avg_session_length\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;","time":0.592361927}}
+{"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":"```sql\nSELECT \n  employmentstatus,\n  SUM(sessionlengthminutes) AS total_session_length\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;\n```\n\nThis SQL query will return the employment status and the total sum of session length minutes for each employment status in the `accountFraud` table. The `GROUP BY` clause is used to group the results by the `employmentstatus` column, and the `SUM` function is used to calculate the total sum of `sessionlengthminutes` for each group.","cost":0.0000684,"response_parsed":"SELECT \n  employmentstatus,\n  SUM(sessionlengthminutes) AS total_session_length\nFROM \n  accountFraud\nGROUP BY \n  employmentstatus;","time":0.4716041088}}
+{"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":"```sql\nSELECT \n    paperlessdate,\n    COUNT(*) as count\nFROM \n    latePayment\nGROUP BY \n    paperlessdate;\n```\n\nThis SQL query will return a list of unique `paperlessdate` values from the `latePayment` table, along with the count of rows for each `paperlessdate`. The `GROUP BY` clause is used to group the rows by `paperlessdate`, and the `COUNT(*)` function is used to count the number of rows in each group.","cost":0.0000674,"response_parsed":"SELECT \n    paperlessdate,\n    COUNT(*) as count\nFROM \n    latePayment\nGROUP BY \n    paperlessdate;","time":0.5160448551}}
+{"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":"```sql\nSELECT \n    COUNT(*) as total_late_payments,\n    lp.paperlessbill\nFROM \n    latePayment lp\nGROUP BY \n    lp.paperlessbill;\n```\n\nThis SQL query will return the total number of late payments for each paperless bill. The `GROUP BY` clause groups the rows by the `paperlessbill` column, and the `COUNT(*)` function counts the number of rows in each group. The result will be a table with two columns: `total_late_payments` and `paperlessbill`.","cost":0.0000686,"response_parsed":"SELECT \n    COUNT(*) as total_late_payments,\n    lp.paperlessbill\nFROM \n    latePayment lp\nGROUP BY \n    lp.paperlessbill;","time":0.6245586872}}
+{"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":"```sql\nSELECT \n    customerid,\n    COUNT(*) as count_of_late_payments\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return a list of customer IDs along with the count of late payments for each customer. The `GROUP BY` clause groups the rows by the `customerid` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000638,"response_parsed":"SELECT \n    customerid,\n    COUNT(*) as count_of_late_payments\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.4798579216}}
+{"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":"```sql\nSELECT \n    duedate,\n    COUNT(*) as count_of_late_payments\nFROM \n    latePayment\nGROUP BY \n    duedate;\n```\n\nThis SQL query will return a list of unique due dates from the `latePayment` table along with the count of rows for each due date. The `GROUP BY` clause is used to group the rows by the `duedate` column, and the `COUNT(*)` function is used to count the number of rows in each group.","cost":0.0000672,"response_parsed":"SELECT \n    duedate,\n    COUNT(*) as count_of_late_payments\nFROM \n    latePayment\nGROUP BY \n    duedate;","time":0.7423143387}}
+{"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":"```sql\nSELECT \n    invoicedate,\n    COUNT(*) as count\nFROM \n    latePayment\nGROUP BY \n    invoicedate;\n```\n\nThis SQL query will return a list of unique invoicedates along with the count of rows for each invoicedate in the latePayment table. \n\nHere's how it works:\n\n- `SELECT invoicedate, COUNT(*) as count`: This selects the invoicedate column and counts the number of rows for each invoicedate. The `COUNT(*)` function counts the number of rows in each group.\n\n- `FROM latePayment`: This specifies the table from which to retrieve the data.\n\n- `GROUP BY invoicedate`: This groups the rows by the invoicedate column, so that the count is calculated for each unique invoicedate.","cost":0.000079,"response_parsed":"SELECT \n    invoicedate,\n    COUNT(*) as count\nFROM \n    latePayment\nGROUP BY \n    invoicedate;","time":0.7229325771}}
+{"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":"```sql\nSELECT \n    MIN(daystosettle) \nFROM \n    latePayment \nWHERE \n    paperlessbill = 'paperlessbill';\n```\n\nHowever, the above SQL query will return the minimum daystosettle for all paperlessbills. If you want to get the minimum daystosettle for each paperlessbill, you can use the following SQL query:\n\n```sql\nSELECT \n    paperlessbill, \n    MIN(daystosettle) as min_daystosettle \nFROM \n    latePayment \nGROUP BY \n    paperlessbill;\n```\n\nThis query will return a list of all unique paperlessbills along with the minimum daystosettle for each paperlessbill.","cost":0.0000764,"response_parsed":"SELECT \n    paperlessbill, \n    MIN(daystosettle) as min_daystosettle \nFROM \n    latePayment \nGROUP BY \n    paperlessbill;","time":0.5933299065}}
+{"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":"```sql\nSELECT MAX(daystosettle) \nFROM latePayment \nWHERE paperlessbill = 'paperlessbill';\n```\n\nThis SQL query will return the maximum value of `daystosettle` for each `paperlessbill` in the `latePayment` table. However, if you want to get the maximum `daystosettle` for each unique `paperlessbill`, you can use the following query:\n\n```sql\nSELECT paperlessbill, MAX(daystosettle) as max_daystosettle \nFROM latePayment \nGROUP BY paperlessbill;\n```\n\nThis query will return a list of all unique `paperlessbill` values along with their corresponding maximum `daystosettle` values.","cost":0.0000766,"response_parsed":"SELECT paperlessbill, MAX(daystosettle) as max_daystosettle \nFROM latePayment \nGROUP BY paperlessbill;","time":0.6016318798}}
+{"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":"```sql\nSELECT AVG(daystosettle) \nFROM latePayment \nWHERE paperlessbill = 'paperlessbill';\n```\n\nThis SQL query will return the average of `daystosettle` for each `paperlessbill` in the `latePayment` table. \n\nHowever, if you want to get the average for each `paperlessbill` separately, you can use the following query:\n\n```sql\nSELECT paperlessbill, AVG(daystosettle) as avg_daystosettle \nFROM latePayment \nGROUP BY paperlessbill;\n```\n\nThis query will return a list of all `paperlessbill` and their corresponding average `daystosettle`.","cost":0.0000746,"response_parsed":"SELECT paperlessbill, AVG(daystosettle) as avg_daystosettle \nFROM latePayment \nGROUP BY paperlessbill;","time":0.6928052902}}
+{"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":"```sql\nSELECT \n    SUM(latePayment.daystosettle) \nFROM \n    latePayment \nWHERE \n    latePayment.paperlessbill = 'paperlessbill';\n```\n\nThis SQL query will return the sum of `daystosettle` for each `paperlessbill` in the `latePayment` table. \n\nHowever, if you want to get the sum of `daystosettle` for each unique `paperlessbill`, you can use the following query:\n\n```sql\nSELECT \n    paperlessbill, \n    SUM(daystosettle) AS total_daystosettle \nFROM \n    latePayment \nGROUP BY \n    paperlessbill;\n```\n\nThis query will return a list of all unique `paperlessbill` values along with the sum of `daystosettle` for each one.","cost":0.000081,"response_parsed":"SELECT \n    paperlessbill, \n    SUM(daystosettle) AS total_daystosettle \nFROM \n    latePayment \nGROUP BY \n    paperlessbill;","time":0.7628386021}}
+{"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":"```sql\nSELECT \n    paperlessbill,\n    MIN(dayslate) AS min_dayslate\nFROM \n    latePayment\nGROUP BY \n    paperlessbill;\n```\n\nThis SQL query will return the minimum number of days late for each paperless bill. The `GROUP BY` clause groups the results by the `paperlessbill` column, and the `MIN` function calculates the minimum value of the `dayslate` column for each group.","cost":0.000065,"response_parsed":"SELECT \n    paperlessbill,\n    MIN(dayslate) AS min_dayslate\nFROM \n    latePayment\nGROUP BY \n    paperlessbill;","time":0.4754314423}}
+{"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":"```sql\nSELECT \n    paperlessbill,\n    MAX(dayslate) AS max_dayslate\nFROM \n    latePayment\nGROUP BY \n    paperlessbill;\n```\n\nThis SQL query will return the maximum number of days late for each paperless bill. The `GROUP BY` clause groups the results by the `paperlessbill` column, and the `MAX` function calculates the maximum value of the `dayslate` column for each group.","cost":0.000065,"response_parsed":"SELECT \n    paperlessbill,\n    MAX(dayslate) AS max_dayslate\nFROM \n    latePayment\nGROUP BY \n    paperlessbill;","time":0.4495429993}}
+{"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":"```sql\nSELECT AVG(dayslate) \nFROM latePayment \nWHERE paperlessbill = 'paperlessbill';\n```\n\nThis SQL query will return the average number of days late for all paperless bills in the `latePayment` table. \n\nHowever, if you want to get the average days late for each paperless bill, you can use the following query:\n\n```sql\nSELECT paperlessbill, AVG(dayslate) as avg_days_late \nFROM latePayment \nGROUP BY paperlessbill;\n```\n\nThis query will return a list of all paperless bills along with their average days late.","cost":0.000071,"response_parsed":"SELECT paperlessbill, AVG(dayslate) as avg_days_late \nFROM latePayment \nGROUP BY paperlessbill;","time":0.6487586498}}
+{"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":"```sql\nSELECT \n    SUM(latePayment.dayslate) \nFROM \n    latePayment \nWHERE \n    latePayment.paperlessbill = 'paperlessbill';\n```\n\nThis SQL query will return the sum of dayslate for each paperlessbill in the latePayment table. However, if you want to get the sum of dayslate for each paperlessbill separately, you would need to use a GROUP BY clause:\n\n```sql\nSELECT \n    paperlessbill, \n    SUM(dayslate) AS total_days_late \nFROM \n    latePayment \nGROUP BY \n    paperlessbill;\n```\n\nThis query will return a list of all paperlessbills with the total number of days they were late.","cost":0.0000758,"response_parsed":"SELECT \n    paperlessbill, \n    SUM(dayslate) AS total_days_late \nFROM \n    latePayment \nGROUP BY \n    paperlessbill;","time":0.9148313999}}
+{"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":"```sql\nSELECT \n    customerid,\n    MIN(daystosettle) AS min_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return the minimum `daystosettle` for each `customerid` in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `MIN` function is used to find the minimum `daystosettle` for each group.","cost":0.000067,"response_parsed":"SELECT \n    customerid,\n    MIN(daystosettle) AS min_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.5728332996}}
+{"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":"```sql\nSELECT \n    customerid, \n    MAX(daystosettle) AS max_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return a list of customer IDs along with the maximum number of days to settle for each customer. The `GROUP BY` clause groups the results by customer ID, and the `MAX` function calculates the maximum value of `daystosettle` for each group.","cost":0.000066,"response_parsed":"SELECT \n    customerid, \n    MAX(daystosettle) AS max_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.6122517586}}
+{"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":"```sql\nSELECT \n    customerid, \n    AVG(daystosettle) AS avg_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return the average number of days to settle for each customer ID in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `AVG` function calculates the average of `daystosettle` for each group.","cost":0.0000664,"response_parsed":"SELECT \n    customerid, \n    AVG(daystosettle) AS avg_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.998606205}}
+{"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":"```sql\nSELECT \n    customerid, \n    SUM(daystosettle) AS total_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return a list of customer IDs along with the total sum of daystosettle for each customer. The `GROUP BY` clause is used to group the results by customer ID, and the `SUM` function is used to calculate the total sum of daystosettle for each group.","cost":0.000067,"response_parsed":"SELECT \n    customerid, \n    SUM(daystosettle) AS total_daystosettle\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.4453732967}}
+{"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":"```sql\nSELECT \n    customerid,\n    MIN(dayslate) AS min_dayslate\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return a list of customer IDs along with the minimum number of days late for each customer. The `GROUP BY` clause groups the results by customer ID, and the `MIN` function calculates the minimum value of `dayslate` for each group.","cost":0.000064,"response_parsed":"SELECT \n    customerid,\n    MIN(dayslate) AS min_dayslate\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.518130064}}
+{"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":"```sql\nSELECT \n    customerid, \n    MAX(dayslate) AS max_dayslate\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return the maximum number of days late for each customer ID in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `MAX` function calculates the maximum value of `dayslate` for each group.","cost":0.0000646,"response_parsed":"SELECT \n    customerid, \n    MAX(dayslate) AS max_dayslate\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":1.0175156593}}
+{"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":"```sql\nSELECT \n    customerid, \n    AVG(dayslate) as avg_dayslate\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return the average number of days late for each customer ID in the `latePayment` table. The `GROUP BY` clause groups the results by `customerid`, and the `AVG` function calculates the average `dayslate` for each group.","cost":0.0000644,"response_parsed":"SELECT \n    customerid, \n    AVG(dayslate) as avg_dayslate\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.5894033909}}
+{"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":"```sql\nSELECT \n    customerid, \n    SUM(dayslate) AS total_days_late\nFROM \n    latePayment\nGROUP BY \n    customerid;\n```\n\nThis SQL query will return a list of customer IDs along with the total number of days late for each customer. The `GROUP BY` clause groups the results by customer ID, and the `SUM` function calculates the total number of days late for each group.","cost":0.000064,"response_parsed":"SELECT \n    customerid, \n    SUM(dayslate) AS total_days_late\nFROM \n    latePayment\nGROUP BY \n    customerid;","time":0.4913315773}}
+{"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(paymenttype) >= 5;\n```\n\nThis SQL query will return all the unique `paymenttype` values from the `accountFraud` table that have at least 5 records. \n\nHere's how it works:\n\n- `GROUP BY paymenttype` groups the results by the `paymenttype` column.\n- `COUNT(paymenttype)` counts the number of records for each group.\n- `HAVING COUNT(paymenttype) >= 5` filters the results to only include groups with 5 or more records.","cost":0.0000716,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING COUNT(paymenttype) >= 5;","time":0.867442131}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING COUNT(paymenttype) <= 5;\n```\n\nThis SQL query will return all the unique `paymenttype` values from the `accountFraud` table that have at most 5 records. \n\nHere's how it works:\n\n- `GROUP BY paymenttype` groups the rows of the table by the `paymenttype` column.\n- `COUNT(paymenttype)` counts the number of rows in each group.\n- `HAVING COUNT(paymenttype) <= 5` filters the groups to only include those with 5 or fewer rows.","cost":0.0000722,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING COUNT(paymenttype) <= 5;","time":0.7453863621}}
+{"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":"```sql\nSELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(deviceos) >= 5;\n```\n\nThis SQL query will return all the unique `deviceos` values from the `accountFraud` table that have at least 5 records. \n\nHere's how it works:\n\n- `GROUP BY deviceos`: This groups the results by the `deviceos` column, so we can count the number of records for each `deviceos` value.\n- `COUNT(deviceos)`: This counts the number of records for each `deviceos` value.\n- `HAVING COUNT(deviceos) >= 5`: This filters the results to only include `deviceos` values that have at least 5 records.","cost":0.0000774,"response_parsed":"SELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(deviceos) >= 5;","time":1.0369956493}}
+{"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":"```sql\nSELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(deviceos) <= 5;\n```\n\nThis SQL query will return all the unique `deviceos` values from the `accountFraud` table where the count of records for each `deviceos` is less than or equal to 5. \n\nHere's how it works:\n\n- `GROUP BY deviceos` groups the records by the `deviceos` column.\n- `HAVING COUNT(deviceos) <= 5` filters the groups to only include those where the count of records is less than or equal to 5.","cost":0.0000724,"response_parsed":"SELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(deviceos) <= 5;","time":0.8651068211}}
+{"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":"```sql\nSELECT emailisfree \nFROM accountFraud \nGROUP BY emailisfree \nHAVING COUNT(*) >= 10;\n```\n\nThis SQL query will return all the unique `emailisfree` values from the `accountFraud` table where the count of records for each `emailisfree` is 10 or more. \n\nHere's how it works:\n\n- `GROUP BY emailisfree` groups the records by the `emailisfree` column.\n- `COUNT(*)` counts the number of records in each group.\n- `HAVING COUNT(*) >= 10` filters the groups to only include those with 10 or more records.","cost":0.0000738,"response_parsed":"SELECT emailisfree \nFROM accountFraud \nGROUP BY emailisfree \nHAVING COUNT(*) >= 10;","time":0.782879591}}
+{"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":"```sql\nSELECT emailisfree \nFROM accountFraud \nWHERE (SELECT COUNT(*) \n       FROM accountFraud \n       WHERE emailisfree = accountFraud.emailisfree) <= 10;\n```\n\nThis SQL query works as follows:\n\n1. It selects the `emailisfree` column from the `accountFraud` table.\n2. It uses a subquery to count the number of records for each `emailisfree` value in the `accountFraud` table.\n3. It filters the results to include only the `emailisfree` values that have a count of 10 or less in the subquery.","cost":0.0000732,"response_parsed":"SELECT emailisfree \nFROM accountFraud \nWHERE (SELECT COUNT(*) \n       FROM accountFraud \n       WHERE emailisfree = accountFraud.emailisfree) <= 10;","time":1.0866923332}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE creditriskscore >= 141.44;\n```\n\nThis SQL query will return all the rows from the `accountFraud` table where the `creditriskscore` is at least 141.44. The `hasothercards` column will be included in the result.","cost":0.0000626,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nWHERE creditriskscore >= 141.44;","time":0.632140398}}
+{"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":"```sql\nSELECT hasothercards\nFROM accountFraud\nWHERE creditriskscore <= 141.44\nGROUP BY hasothercards\nHAVING AVG(creditriskscore) <= 141.44;\n```\n\nHowever, the above SQL query will return all the `hasothercards` values that have an average `creditriskscore` of at most 141.44. If you want to get the average `creditriskscore` for each `hasothercards` value, you can use the following query:\n\n```sql\nSELECT hasothercards, AVG(creditriskscore) as average_creditriskscore\nFROM accountFraud\nWHERE creditriskscore <= 141.44\nGROUP BY hasothercards;\n```\n\nThis query will return the `hasothercards` values and their corresponding average `creditriskscore` values.","cost":0.000084,"response_parsed":"SELECT hasothercards, AVG(creditriskscore) as average_creditriskscore\nFROM accountFraud\nWHERE creditriskscore <= 141.44\nGROUP BY hasothercards;","time":1.4883916378}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE creditriskscore * hasothercards >= 1144.5;\n```\n\nThis SQL query will return the `hasothercards` values from the `accountFraud` table where the sum of `creditriskscore` and `hasothercards` is at least 1144.5. \n\nHowever, if you want to get the sum of `creditriskscore` for each `hasothercards` value that meets the condition, you can use the following query:\n\n```sql\nSELECT hasothercards, SUM(creditriskscore) as total_credit_risk_score \nFROM accountFraud \nWHERE creditriskscore * hasothercards >= 1144.5 \nGROUP BY hasothercards;\n```\n\nThis query will return the `hasothercards` values and the sum of `creditriskscore` for each value that meets the condition.","cost":0.0000872,"response_parsed":"SELECT hasothercards, SUM(creditriskscore) as total_credit_risk_score \nFROM accountFraud \nWHERE creditriskscore * hasothercards >= 1144.5 \nGROUP BY hasothercards;","time":1.1223421097}}
+{"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 \nWHERE creditriskscore * (SELECT COUNT(*) FROM accountFraud) <= 1144.5;\n```\n\nHowever, the above SQL query will not give the correct result because it multiplies the creditriskscore with the total count of rows in the table. \n\nIf you want to get the hasothercards where the summation of creditriskscore is at most 1144.5, you should use the GROUP BY clause and the HAVING clause. Here is the correct SQL query:\n\n```sql\nSELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(creditriskscore) <= 1144.5;\n```\n\nThis SQL query will group the rows by the hasothercards column and then select the hasothercards where the summation of creditriskscore is at most 1144.5.","cost":0.0000868,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(creditriskscore) <= 1144.5;","time":1.15244174}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE AVG(sessionlengthminutes) >= 7.85;\n```\n\nHowever, the above SQL query will not work as expected because the AVG function in SQL is an aggregate function that requires a GROUP BY clause to be used with it. \n\nTo get the desired result, you should use a subquery or a HAVING clause. Here's how you can do it:\n\n```sql\nSELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING AVG(sessionlengthminutes) >= 7.85;\n```\n\nThis SQL query will return all the unique values of `hasothercards` where the average of `sessionlengthminutes` is at least 7.85.","cost":0.0000786,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING AVG(sessionlengthminutes) >= 7.85;","time":1.2573156357}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE sessionlengthminutes <= 7.85 \nGROUP BY hasothercards \nHAVING AVG(sessionlengthminutes) <= 7.85;\n```\n\nThis SQL query will return the `hasothercards` values from the `accountFraud` table where the average `sessionlengthminutes` is at most 7.85. \n\nHere's how it works:\n\n1. `SELECT hasothercards`: Selects the `hasothercards` column from the `accountFraud` table.\n2. `FROM accountFraud`: Specifies the table to query.\n3. `WHERE sessionlengthminutes <= 7.85`: Filters the results to only include rows where `sessionlengthminutes` is less than or equal to 7.85.\n4. `GROUP BY hasothercards`: Groups the results by the `hasothercards` column.\n5. `HAVING AVG(sessionlengthminutes) <= 7.85`: Filters the grouped results to only include groups where the average `sessionlengthminutes` is less than or equal to 7.85.","cost":0.0000936,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nWHERE sessionlengthminutes <= 7.85 \nGROUP BY hasothercards \nHAVING AVG(sessionlengthminutes) <= 7.85;","time":1.362767458}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE SUM(sessionlengthminutes) >= 58.5;\n```\n\nHowever, this SQL query will not work as expected because the `SUM` function is an aggregate function that requires a `GROUP BY` clause to group the results by the `hasothercards` column. \n\nIf you want to get the `hasothercards` values where the sum of `sessionlengthminutes` is at least 58.5 for each group, you can use the following query:\n\n```sql\nSELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(sessionlengthminutes) >= 58.5;\n```\n\nThis query will return all unique `hasothercards` values where the sum of `sessionlengthminutes` is at least 58.5.","cost":0.0000824,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(sessionlengthminutes) >= 58.5;","time":1.1645433903}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE SUM(sessionlengthminutes) <= 58.5;\n```\n\nHowever, the above SQL query will not work as expected because the `SUM` function is an aggregate function that requires a `GROUP BY` clause to group the rows by a specific column. \n\nIf you want to get the `hasothercards` values for all rows where the sum of `sessionlengthminutes` is at most 58.5, you can use the following SQL query:\n\n```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE sessionlengthminutes <= 58.5;\n```\n\nThis query will return all `hasothercards` values for rows where the `sessionlengthminutes` is at most 58.5. \n\nIf you want to get the `hasothercards` values for rows where the sum of `sessionlengthminutes` is at most 58.5, you can use the following SQL query:\n\n```sql\nSELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(sessionlengthminutes) <= 58.5;\n```\n\nThis query will return all `hasothercards` values for rows where the sum of `sessionlengthminutes` is at most 58.5.","cost":0.0001008,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING SUM(sessionlengthminutes) <= 58.5;","time":1.669203043}}
+{"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 \nWHERE creditriskscore \/ 2 >= 109.56;\n```\n\nHowever, the above SQL query will not give the exact result as the average of creditriskscore is not calculated in the query. \n\nTo get the exact result, you should calculate the average of creditriskscore first and then filter the results. \n\n```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE creditriskscore >= 219.12;\n```\n\nThis query will return the paymenttype where the creditriskscore is at least 109.56.","cost":0.0000732,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nWHERE creditriskscore >= 219.12;","time":1.0650041103}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE creditriskscore <= 109.56 \nGROUP BY paymenttype \nHAVING AVG(creditriskscore) <= 109.56;\n```\n\nThis SQL query will return the `paymenttype` from the `accountFraud` table where the average `creditriskscore` is at most 109.56. \n\nHere's how it works:\n\n1. `SELECT paymenttype`: Selects the `paymenttype` column from the `accountFraud` table.\n2. `FROM accountFraud`: Specifies the table to query.\n3. `WHERE creditriskscore <= 109.56`: Filters the rows where the `creditriskscore` is less than or equal to 109.56.\n4. `GROUP BY paymenttype`: Groups the remaining rows by the `paymenttype` column.\n5. `HAVING AVG(creditriskscore) <= 109.56`: Filters the groups where the average `creditriskscore` is less than or equal to 109.56.","cost":0.0000924,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nWHERE creditriskscore <= 109.56 \nGROUP BY paymenttype \nHAVING AVG(creditriskscore) <= 109.56;","time":1.0564055443}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(creditriskscore) >= 572.25;\n```\n\nThis SQL query will return the `paymenttype` values from the `accountFraud` table where the sum of `creditriskscore` is at least 572.25. The `GROUP BY` clause groups the results by `paymenttype`, and the `HAVING` clause filters the results to only include groups where the sum of `creditriskscore` meets the specified condition.","cost":0.000071,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(creditriskscore) >= 572.25;","time":1.1077182293}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE SUM(creditriskscore) <= 572.25;\n```\n\nHowever, the above SQL query will not work as expected because the SUM() function is an aggregate function that requires a GROUP BY clause to group the rows by a specific column. \n\nIf you want to get the payment type where the sum of credit risk score is at most 572.25 for all rows in the table, you can use the following SQL query:\n\n```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE creditriskscore <= 572.25;\n```\n\nThis query will return all payment types where the credit risk score is at most 572.25. \n\nIf you want to get the payment type where the sum of credit risk score is at most 572.25 for each group of rows with the same payment type, you can use the following SQL query:\n\n```sql\nSELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(creditriskscore) <= 572.25;\n```\n\nThis query will return all payment types where the sum of credit risk score is at most 572.25 for each group of rows with the same payment type.","cost":0.000099,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(creditriskscore) <= 572.25;","time":1.1089234352}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE AVG(sessionlengthminutes) >= 5.45;\n```\n\nHowever, the above SQL query will not work as expected because the `AVG` function is an aggregate function that calculates the average of a group of values. In this case, it will be applied to all rows in the table, not just the rows that meet the condition.\n\nTo get the desired result, you should use a subquery or a window function. Here's an example using a subquery:\n\n```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE sessionlengthminutes >= (SELECT AVG(sessionlengthminutes) FROM accountFraud) * 1.05;\n```\n\nThis query will return the `paymenttype` where the `sessionlengthminutes` is at least 5.45 times the average `sessionlengthminutes` in the table.\n\nAlternatively, you can use a window function like `ROW_NUMBER` or `RANK` to achieve the same result:\n\n```sql\nWITH ranked_sessions AS (\n  SELECT paymenttype, sessionlengthminutes,\n         ROW_NUMBER() OVER (ORDER BY sessionlengthminutes DESC) AS row_num\n  FROM accountFraud\n)\nSELECT paymenttype \nFROM ranked_sessions \nWHERE row_num <= (SELECT COUNT(*) FROM accountFraud) * 0.95;\n```\n\nThis query will return the `paymenttype` where the `sessionlengthminutes` is in the top 95% of the values in the table.","cost":0.0001086,"response_parsed":"WITH ranked_sessions AS (\n  SELECT paymenttype, sessionlengthminutes,\n         ROW_NUMBER() OVER (ORDER BY sessionlengthminutes DESC) AS row_num\n  FROM accountFraud\n)\nSELECT paymenttype \nFROM ranked_sessions \nWHERE row_num <= (SELECT COUNT(*) FROM accountFraud) * 0.95;","time":1.7389645576}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE AVG(sessionlengthminutes) <= 5.45;\n```\n\nHowever, the above SQL query will return all payment types that have an average session length of at most 5.45, but it will not consider the average session length for each payment type separately.\n\nTo get the desired result, you should use a subquery or a window function to calculate the average session length for each payment type, and then filter the results to include only the payment types with an average session length of at most 5.45.\n\nHere's an example using a subquery:\n\n```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE paymenttype IN (\n  SELECT paymenttype \n  FROM accountFraud \n  GROUP BY paymenttype \n  HAVING AVG(sessionlengthminutes) <= 5.45\n);\n```\n\nAnd here's an example using a window function (available in SQL Server, PostgreSQL, and Oracle):\n\n```sql\nSELECT paymenttype \nFROM (\n  SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length \n  FROM accountFraud \n  GROUP BY paymenttype\n) AS subquery \nWHERE avg_session_length <= 5.45;\n```\n\nNote that the window function approach is generally more efficient than the subquery approach, especially for large datasets.","cost":0.000102,"response_parsed":"SELECT paymenttype \nFROM (\n  SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length \n  FROM accountFraud \n  GROUP BY paymenttype\n) AS subquery \nWHERE avg_session_length <= 5.45;","time":1.4377276897}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(sessionlengthminutes) >= 29.25;\n```\n\nThis SQL query will return the `paymenttype` from the `accountFraud` table where the sum of `sessionlengthminutes` is at least 29.25. The `GROUP BY` clause groups the rows by `paymenttype`, and the `HAVING` clause filters the groups based on the condition specified.","cost":0.0000674,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(sessionlengthminutes) >= 29.25;","time":0.9132652283}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE SUM(sessionlengthminutes) <= 29.25;\n```\n\nHowever, the above SQL query will not work as expected because the SUM function in SQL aggregates all the values in the sessionlengthminutes column and then checks if the result is less than or equal to 29.25. This is not what we want. We want to check if the sum of sessionlengthminutes for each row is less than or equal to 29.25.\n\nTo achieve this, we need to use a subquery or a window function. Here's how you can do it using a subquery:\n\n```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE sessionlengthminutes <= 29.25 \nGROUP BY paymenttype \nHAVING SUM(sessionlengthminutes) <= 29.25;\n```\n\nThis query will return the paymenttype for which the sum of sessionlengthminutes is at most 29.25. \n\nHowever, if you want to get the sum of sessionlengthminutes for each paymenttype and then filter the results, you can use the following query:\n\n```sql\nSELECT paymenttype, SUM(sessionlengthminutes) as total_session_length \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(sessionlengthminutes) <= 29.25;\n```\n\nThis query will return all the paymenttypes for which the sum of sessionlengthminutes is at most 29.25, along with the total sum of sessionlengthminutes for each paymenttype.","cost":0.0001092,"response_parsed":"SELECT paymenttype, SUM(sessionlengthminutes) as total_session_length \nFROM accountFraud \nGROUP BY paymenttype \nHAVING SUM(sessionlengthminutes) <= 29.25;","time":1.6398169994}}
+{"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":"```sql\nSELECT DISTINCT customerid \nFROM latePayment;\n```\n\nThis SQL query will return all unique `customerid` values from the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.000056,"response_parsed":"SELECT DISTINCT customerid \nFROM latePayment;","time":0.3807427883}}
+{"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":"```sql\nSELECT customerid \nFROM latePayment \nGROUP BY customerid \nHAVING COUNT(customerid) <= 1;\n```\n\nThis SQL query works as follows:\n\n- `GROUP BY customerid` groups the rows in the `latePayment` table by the `customerid` column.\n- `COUNT(customerid)` counts the number of rows in each group.\n- `HAVING COUNT(customerid) <= 1` filters the groups to only include those with a count of 1 or less, effectively returning the `customerid`s that have at most 1 record in the `latePayment` table.","cost":0.0000716,"response_parsed":"SELECT customerid \nFROM latePayment \nGROUP BY customerid \nHAVING COUNT(customerid) <= 1;","time":0.9077000618}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE disputed = 'true'\nGROUP BY customerid\nHAVING COUNT(*) >= 10;\n```\n\nThis SQL query will return all the records from the `latePayment` table where the `disputed` column is 'true' and the customer has at least 10 records in the table. The `GROUP BY` clause groups the records by customer ID, and the `HAVING` clause filters the groups to only include those with 10 or more records.","cost":0.000067,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed = 'true'\nGROUP BY customerid\nHAVING COUNT(*) >= 10;","time":0.4876937866}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE disputed = 'true' AND customerid IN (\n  SELECT customerid\n  FROM latePayment\n  GROUP BY customerid\n  HAVING COUNT(*) <= 10\n);\n```\n\nThis SQL query will return all the records from the `latePayment` table where the `disputed` field is 'true' and the customer has at most 10 records in the `latePayment` table.","cost":0.0000646,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed = 'true' AND customerid IN (\n  SELECT customerid\n  FROM latePayment\n  GROUP BY customerid\n  HAVING COUNT(*) <= 10\n);","time":0.434710741}}
+{"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":"```sql\nSELECT \n  lp.paperlessbill\nFROM \n  latePayment lp\nGROUP BY \n  lp.paperlessbill\nHAVING \n  COUNT(lp.customerid) >= 10;\n```\n\nThis SQL query will return all the unique `paperlessbill` values from the `latePayment` table where the count of records for each `paperlessbill` is at least 10. \n\nHere's how it works:\n\n- `GROUP BY lp.paperlessbill` groups the results by the `paperlessbill` column.\n- `COUNT(lp.customerid)` counts the number of records for each group.\n- `HAVING COUNT(lp.customerid) >= 10` filters the results to only include groups with at least 10 records.","cost":0.0000772,"response_parsed":"SELECT \n  lp.paperlessbill\nFROM \n  latePayment lp\nGROUP BY \n  lp.paperlessbill\nHAVING \n  COUNT(lp.customerid) >= 10;","time":0.6009736061}}
+{"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":"```sql\nSELECT paperlessbill \nFROM latePayment \nGROUP BY paperlessbill \nHAVING COUNT(customerid) <= 10;\n```\n\nThis SQL query will return all the unique `paperlessbill` values from the `latePayment` table where the count of records for each `paperlessbill` is less than or equal to 10. \n\nHere's how it works:\n\n- `GROUP BY paperlessbill` groups the records by the `paperlessbill` column.\n- `COUNT(customerid)` counts the number of records for each group.\n- `HAVING COUNT(customerid) <= 10` filters the groups to only include those with a count of 10 or less.","cost":0.0000752,"response_parsed":"SELECT paperlessbill \nFROM latePayment \nGROUP BY paperlessbill \nHAVING COUNT(customerid) <= 10;","time":1.0084810257}}
+{"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":"```sql\nSELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(dayslate) >= 2.95;\n```\n\nThis SQL query will return the `invoicedate` for which the average of `dayslate` is at least 2.95 in the `latePayment` table. The `GROUP BY` clause groups the rows by `invoicedate`, and the `HAVING` clause filters the groups to only include those where the average `dayslate` is at least 2.95.","cost":0.0000702,"response_parsed":"SELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(dayslate) >= 2.95;","time":0.5429759026}}
+{"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":"```sql\nSELECT invoicedate \nFROM latePayment \nWHERE dayslate <= 2.95;\n```\n\nThis SQL query will return all the `invoicedate` values from the `latePayment` table where the `dayslate` is less than or equal to 2.95. \n\nHowever, if you want to get the average of `dayslate` for each `invoicedate` and then filter the results to get only the `invoicedate` where the average of `dayslate` is at most 2.95, you can use the following query:\n\n```sql\nSELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(dayslate) <= 2.95;\n```\n\nThis query will group the results by `invoicedate` and then apply the `HAVING` clause to filter the results to get only the `invoicedate` where the average of `dayslate` is at most 2.95.","cost":0.0000888,"response_parsed":"SELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(dayslate) <= 2.95;","time":0.9250500202}}
+{"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":"```sql\nSELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING SUM(dayslate) >= 2.95;\n```\n\nThis SQL query will return the `invoicedate` values from the `latePayment` table where the sum of `dayslate` is at least 2.95. The `GROUP BY` clause groups the rows by `invoicedate`, and the `HAVING` clause filters the groups based on the condition.","cost":0.0000676,"response_parsed":"SELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING SUM(dayslate) >= 2.95;","time":0.6303977966}}
+{"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":"```sql\nSELECT invoicedate \nFROM latePayment \nWHERE dayslate <= 2.95;\n```\n\nHowever, since `dayslate` is an integer column, it cannot be less than or equal to a decimal value. It seems like you want to find the `invoicedate` where the sum of `dayslate` is at most 2.95. If that's the case, you would need to use a subquery or a window function to calculate the sum of `dayslate` for each `invoicedate`. Here's an example using a subquery:\n\n```sql\nSELECT invoicedate \nFROM latePayment \nWHERE invoicedate IN (\n  SELECT invoicedate \n  FROM latePayment \n  GROUP BY invoicedate \n  HAVING SUM(dayslate) <= 2.95\n);\n```\n\nThis query will return all `invoicedate`s where the sum of `dayslate` is at most 2.95.","cost":0.0000878,"response_parsed":"SELECT invoicedate \nFROM latePayment \nWHERE invoicedate IN (\n  SELECT invoicedate \n  FROM latePayment \n  GROUP BY invoicedate \n  HAVING SUM(dayslate) <= 2.95\n);","time":0.7965159416}}
+{"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```\n\nThis SQL query will return the `invoicedate` values from the `latePayment` table where the average of `invoicenumber` is at least 4902805164.55. \n\nNote: The average of `invoicenumber` is calculated for each group of `invoicedate` values. If you want to calculate the average of `invoicenumber` across all rows in the table, you should remove the `GROUP BY` clause. However, this would not make sense in this context because you are trying to find the average of `invoicenumber` for each `invoicedate`. \n\nAlso, note that the average of `invoicenumber` is a very large number, which is likely to be incorrect. It's possible that you meant to calculate the average of `invoiceamount` instead. If that's the case, you should replace `invoicenumber` with `invoiceamount` in the query.","cost":0.0000972,"response_parsed":"SELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(invoicenumber) >= 4902805164.55;","time":0.9930889606}}
+{"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 \nWHERE AVG(invoicenumber) <= 4902805164.55;\n```\n\nHowever, the above SQL query will not work as expected because the AVG function in SQL is an aggregate function that requires a GROUP BY clause to work correctly. \n\nTo get the average of invoicenumber for each invoicedate and then filter the results, you can use the following SQL query:\n\n```sql\nSELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(invoicenumber) <= 4902805164.55;\n```\n\nThis query will return all the invoicedate where the average of invoicenumber is at most 4902805164.55.","cost":0.00008,"response_parsed":"SELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(invoicenumber) <= 4902805164.55;","time":0.6022384167}}
+{"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":"```sql\nSELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING SUM(invoicenumber) >= 4902805164.55;\n```\n\nThis SQL query will return the `invoicedate` values from the `latePayment` table where the sum of `invoicenumber` is at least 4902805164.55. \n\nNote: The `invoicenumber` column is of type `INTEGER` in the database schema, which means it cannot store decimal values. Therefore, the sum of `invoicenumber` will also be an integer. If you want to sum decimal values, you should use a column of type `REAL` or `FLOAT`. \n\nHowever, if you want to sum the `invoiceamount` column instead of `invoicenumber`, you can use the following query:\n\n```sql\nSELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING SUM(invoiceamount) >= 4902805164.55;\n```","cost":0.000092,"response_parsed":"SELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING SUM(invoiceamount) >= 4902805164.55;","time":1.0226445198}}
+{"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":"```sql\nSELECT invoicedate\nFROM latePayment\nWHERE SUM(invoicenumber) <= 4902805164.55;\n```\n\nHowever, the above SQL query will not work as expected because the SUM function in SQL is used to calculate the total sum of a column, not to filter rows based on the sum of a column.\n\nTo achieve the desired result, you can use a subquery or a window function. Here's an example using a subquery:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nWHERE invoicenumber IN (\n  SELECT invoicenumber\n  FROM latePayment\n  GROUP BY invoicenumber\n  HAVING SUM(invoicenumber) <= 4902805164.55\n);\n```\n\nThis query will return all the invoicedate where the sum of invoicenumber is at most 4902805164.55.\n\nHowever, the above query will not work as expected because the invoicenumber is an integer and the sum of invoicenumber will also be an integer. So, the condition `SUM(invoicenumber) <= 4902805164.55` will never be true.\n\nIf you want to get the sum of invoicenumber for each group of invoicedate and then filter the groups where the sum is at most 4902805164.55, you can use the following query:\n\n```sql\nSELECT l.invoicedate\nFROM latePayment l\nJOIN (\n  SELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber\n  FROM latePayment\n  GROUP BY invoicedate\n) s ON l.invoicedate = s.invoicedate\nWHERE s.total_invoicenumber <= 4902805164.55;\n```\n\nThis query will return all the invoicedate where the sum of invoicenumber is at most 4902805164.55.","cost":0.0001292,"response_parsed":"SELECT l.invoicedate\nFROM latePayment l\nJOIN (\n  SELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber\n  FROM latePayment\n  GROUP BY invoicedate\n) s ON l.invoicedate = s.invoicedate\nWHERE s.total_invoicenumber <= 4902805164.55;","time":1.5283925533}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE dayslate >= 1.43;\n```\n\nThis SQL query will return the `paperlessdate` for all rows in the `latePayment` table where the `dayslate` is greater than or equal to 1.43. \n\nHowever, since `dayslate` is an integer column, it cannot be compared to a decimal value like 1.43. If you want to find the average of `dayslate` that is at least 1.43, you should first calculate the average and then filter the results. \n\nHere's how you can do it:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE dayslate >= (SELECT AVG(dayslate) FROM latePayment) * 1.43;\n```\n\nThis query will return the `paperlessdate` for all rows in the `latePayment` table where the `dayslate` is greater than or equal to 1.43 times the average of `dayslate`.","cost":0.0000892,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nWHERE dayslate >= (SELECT AVG(dayslate) FROM latePayment) * 1.43;","time":0.672098875}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE dayslate <= 1.43 * 100;\n```\n\nExplanation:\n\n- The `SELECT` statement is used to fetch the data from the database.\n- `paperlessdate` is the column we want to retrieve.\n- `FROM latePayment` specifies the table from which we want to retrieve the data.\n- `WHERE dayslate <= 1.43 * 100` filters the data to include only the rows where the `dayslate` is less than or equal to 1.43 times 100 (since `dayslate` is an integer and we want to compare it with a decimal value). \n\nNote: The `dayslate` column is an integer, so we multiply 1.43 by 100 to get an integer value that is greater than or equal to the average of dayslate. This is because SQL does not support direct comparison of decimal values with integer values.","cost":0.0000864,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nWHERE dayslate <= 1.43 * 100;","time":0.8723692894}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE dayslate >= 3.47;\n```\n\nHowever, the `dayslate` column is defined as an INTEGER in the database schema, which means it cannot store decimal values. Therefore, the condition `dayslate >= 3.47` will not work as expected.\n\nIf you want to compare the sum of `dayslate` with a decimal value, you should first calculate the sum of `dayslate` for each row and then compare it with the desired value. But since you want to list the `paperlessdate` where the sum of `dayslate` is at least 3.47, you should use a GROUP BY clause and a HAVING clause.\n\nHere's the corrected SQL code:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING SUM(dayslate) >= 3.47;\n```\n\nThis SQL code will return the `paperlessdate` where the sum of `dayslate` is at least 3.47 for each group of `paperlessdate`.","cost":0.0000924,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING SUM(dayslate) >= 3.47;","time":0.7838122845}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE dayslate <= 3.47;\n```\n\nThis SQL query will return all the `paperlessdate` values from the `latePayment` table where the `dayslate` value is less than or equal to 3.47. \n\nNote: The `dayslate` column is of type `INTEGER`, which means it can't store decimal values. Therefore, the comparison `dayslate <= 3.47` will always be `FALSE` because `3.47` is a decimal value. If you want to compare the sum of `dayslate` with a decimal value, you should first calculate the sum and then compare it. However, based on the given database schema, it seems like you want to compare individual `dayslate` values, not their sum. \n\nIf you want to compare the sum of `dayslate` with a decimal value, you should first calculate the sum and then compare it. Here's how you can do it:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE SUM(dayslate) <= 3.47;\n```\n\nHowever, this query will not work as expected because the `SUM` function is not allowed in the `WHERE` clause. It should be used in the `SELECT` or `HAVING` clause. Here's the correct query:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING SUM(dayslate) <= 3.47;\n```","cost":0.0001098,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING SUM(dayslate) <= 3.47;","time":0.9111721516}}
+{"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```\n\nThis SQL query will return the `paperlessdate` values from the `latePayment` table where the average of `invoicenumber` is at least 4611214877.81. The `GROUP BY` clause groups the rows by `paperlessdate`, and the `HAVING` clause filters the groups based on the average of `invoicenumber`.","cost":0.0000718,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING AVG(invoicenumber) >= 4611214877.81;","time":0.5406656265}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE AVG(invoicenumber) <= 4611214877.81;\n```\n\nHowever, the above SQL query will not work as expected because the AVG function in SQL is an aggregate function that calculates the average value for a group of rows. In this case, it will calculate the average invoicenumber for each row, which is not what we want.\n\nTo get the average invoicenumber for all rows and then filter the results, we can use a subquery or a CTE (Common Table Expression). Here's how you can do it:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber <= (SELECT AVG(invoicenumber) FROM latePayment) * 1.0000000001;\n```\n\nThis query will return all paperlessdate where the invoicenumber is less than or equal to the average invoicenumber multiplied by 1.0000000001. This is because the average invoicenumber might be a very large number and we don't want to include it in the results.\n\nHowever, if you want to get the average invoicenumber and then filter the results, you can use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber <= (SELECT AVG(invoicenumber) FROM latePayment);\n```\n\nThis query will return all paperlessdate where the invoicenumber is less than or equal to the average invoicenumber.","cost":0.0001126,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber <= (SELECT AVG(invoicenumber) FROM latePayment);","time":2.0602259636}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber >= 5768006075.94 \nGROUP BY paperlessdate \nHAVING SUM(invoicenumber) >= 5768006075.94;\n```\n\nHowever, the above query will not work as expected because the `invoicenumber` is an integer and you cannot sum integers to get a decimal value. \n\nIf you want to sum the `invoiceamount` instead, you should use the following query:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nGROUP BY paperlessdate \nHAVING SUM(invoiceamount) >= 5768006075.94;\n```\n\nThis query will return all `paperlessdate` where the sum of `invoiceamount` is at least 5768006075.94. \n\nIf you want to get the exact sum for each `paperlessdate`, you can use the following query:\n\n```sql\nSELECT paperlessdate, SUM(invoiceamount) as total_invoice_amount \nFROM latePayment \nGROUP BY paperlessdate \nHAVING SUM(invoiceamount) >= 5768006075.94;\n```","cost":0.0000964,"response_parsed":"SELECT paperlessdate, SUM(invoiceamount) as total_invoice_amount \nFROM latePayment \nGROUP BY paperlessdate \nHAVING SUM(invoiceamount) >= 5768006075.94;","time":1.1149754524}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE SUM(invoicenumber) <= 5768006075.94;\n```\n\nHowever, the above SQL query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns. \n\nIf you want to get the paperlessdate for which the summation of invoicenumber is at most 5768006075.94, you should use a subquery or a window function. Here's an example using a subquery:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nThis query will return all paperlessdate for which the invoicenumber is part of the group that has a total invoicenumber at most 5768006075.94.\n\nHowever, if you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);\n```\n\nBut this query will not work as expected because the SUM function in SQL is an aggregate function that requires a GROUP BY clause to group the rows by one or more columns.\n\nIf you want to get the paperlessdate for which the total invoicenumber for all rows is at most 5768006075.94, you should use a subquery like this:\n\n```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP","cost":0.0004582,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nWHERE invoicenumber IN (\n  SELECT invoicenumber \n  FROM latePayment \n  GROUP BY invoicenumber \n  HAVING SUM(invoicenumber) <= 5768006075.94\n);","time":4.5135598183}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud);\n```\n\nThis SQL query will return all the unique `hasothercards` values from the `accountFraud` table where each `hasothercards` value has all the possible `housingstatus` values. \n\nHere's how it works:\n\n1. `GROUP BY hasothercards` groups the rows by the `hasothercards` column.\n2. `HAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud)` filters the groups to only include those where the count of distinct `housingstatus` values is equal to the total count of distinct `housingstatus` values in the table. This means that each `hasothercards` value has all the possible `housingstatus` values.","cost":0.0000854,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nGROUP BY hasothercards \nHAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud);","time":1.2598266602}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE paymenttype IN (SELECT paymenttype FROM accountFraud);\n```\n\nThis SQL query will return all the `hasothercards` values from the `accountFraud` table where the `paymenttype` is present in the `paymenttype` column of the same table. \n\nHowever, if you want to fetch all unique `paymenttype` values first and then fetch the corresponding `hasothercards` values, you can use the following query:\n\n```sql\nSELECT af1.hasothercards \nFROM accountFraud af1 \nJOIN (SELECT DISTINCT paymenttype FROM accountFraud) af2 \nON af1.paymenttype = af2.paymenttype;\n```\n\nThis query will return all the `hasothercards` values from the `accountFraud` table where the `paymenttype` is unique.","cost":0.000082,"response_parsed":"SELECT af1.hasothercards \nFROM accountFraud af1 \nJOIN (SELECT DISTINCT paymenttype FROM accountFraud) af2 \nON af1.paymenttype = af2.paymenttype;","time":0.6087756157}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE employmentstatus IS NOT NULL;\n```\n\nThis SQL query will return all the `hasothercards` values from the `accountFraud` table where the `employmentstatus` is not null.","cost":0.0000572,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nWHERE employmentstatus IS NOT NULL;","time":0.511143446}}
+{"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":"```sql\nSELECT hasothercards\nFROM accountFraud\nWHERE deviceos IS NOT NULL;\n```\n\nThis SQL query will return all the `hasothercards` values from the `accountFraud` table where the `deviceos` is not null.","cost":0.0000572,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nWHERE deviceos IS NOT NULL;","time":0.3432395458}}
+{"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":"```sql\nSELECT hasothercards \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nThis SQL query will return all the `hasothercards` values from the `accountFraud` table where `emailisfree` is equal to `'true'`.","cost":0.0000582,"response_parsed":"SELECT hasothercards \nFROM accountFraud \nWHERE emailisfree = 'true';","time":0.3954775333}}
+{"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":"```sql\nSELECT housingstatus \nFROM accountFraud \nGROUP BY housingstatus;\n```\n\nHowever, if you want to include all the payment types for each housing status, you can use the following SQL query:\n\n```sql\nSELECT housingstatus, paymenttype \nFROM accountFraud \nGROUP BY housingstatus, paymenttype;\n```\n\nThis query will return all the unique combinations of housing status and payment type in the `accountFraud` table.","cost":0.0000646,"response_parsed":"SELECT housingstatus, paymenttype \nFROM accountFraud \nGROUP BY housingstatus, paymenttype;","time":0.495745182}}
+{"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":"```sql\nSELECT housingstatus \nFROM accountFraud \nWHERE emailisfree = '1';\n```\n\nThis SQL query will return all the housingstatus values from the accountFraud table where the emailisfree field is equal to '1'.","cost":0.0000566,"response_parsed":"SELECT housingstatus \nFROM accountFraud \nWHERE emailisfree = '1';","time":0.4839150906}}
+{"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":"```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE emailisfree = 'yes';\n```\n\nThis SQL query will return all the payment types from the `accountFraud` table where `emailisfree` is 'yes'.","cost":0.0000564,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nWHERE emailisfree = 'yes';","time":0.4650626183}}
+{"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":"```sql\nSELECT employmentstatus \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nThis SQL query will return the employment status of all rows in the `accountFraud` table where `emailisfree` is 'true'.","cost":0.0000568,"response_parsed":"SELECT employmentstatus \nFROM accountFraud \nWHERE emailisfree = 'true';","time":0.3607969284}}
+{"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":"```sql\nSELECT deviceos \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nThis SQL query will return all the deviceos from the accountFraud table where the emailisfree field is 'true'.","cost":0.000056,"response_parsed":"SELECT deviceos \nFROM accountFraud \nWHERE emailisfree = 'true';","time":0.4710083008}}
+{"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":"```sql\nSELECT customerid \nFROM latePayment \nWHERE disputed = 'true';\n```\n\nThis SQL query will return all the customer IDs from the `latePayment` table where the `disputed` column is equal to `'true'`.","cost":0.0000558,"response_parsed":"SELECT customerid \nFROM latePayment \nWHERE disputed = 'true';","time":0.4603500366}}
+{"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":"```sql\nSELECT customerid \nFROM latePayment \nWHERE paperlessbill = 'true';\n```\n\nThis SQL query will return all the customer IDs from the `latePayment` table where the `paperlessbill` column is set to `'true'`.","cost":0.0000568,"response_parsed":"SELECT customerid \nFROM latePayment \nWHERE paperlessbill = 'true';","time":0.4069623947}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE disputed = 'true';\n```\n\nThis SQL query will fetch the `paperlessdate` from the `latePayment` table where the `disputed` field is equal to `'true'`.","cost":0.0000566,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nWHERE disputed = 'true';","time":0.502676487}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment \nWHERE paperlessbill = 'all';\n```\n\nThis SQL query will return all the `paperlessdate` values from the `latePayment` table where `paperlessbill` is equal to `'all'`.","cost":0.0000576,"response_parsed":"SELECT paperlessdate \nFROM latePayment \nWHERE paperlessbill = 'all';","time":0.4083461761}}
+{"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":"```sql\nSELECT \n    lp.disputed, \n    lp.paperlessbill\nFROM \n    latePayment lp\nWHERE \n    lp.disputed = 'true' AND lp.paperlessbill = 'true';\n```\n\nThis SQL query will fetch all the rows from the `latePayment` table where the `disputed` field is 'true' and the `paperlessbill` field is 'true'. The result will include the `disputed` and `paperlessbill` fields for each matching row.","cost":0.000067,"response_parsed":"SELECT \n    lp.disputed, \n    lp.paperlessbill\nFROM \n    latePayment lp\nWHERE \n    lp.disputed = 'true' AND lp.paperlessbill = 'true';","time":0.5503695011}}
+{"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 *\nFROM accountFraud\nORDER BY deviceos ASC;\n```\n\nThis SQL query will fetch all data from the `accountFraud` table and order it by the `deviceos` column in ascending order.","cost":0.000056,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY deviceos ASC;","time":0.3333601952}}
+{"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 *\nFROM accountFraud\nORDER BY deviceos DESC;\n```\n\nThis SQL query will fetch all data from the `accountFraud` table and order it in descending order based on the `deviceos` column.","cost":0.0000562,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY deviceos DESC;","time":0.3607206345}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w ASC;\n```\n\nThis SQL query will fetch all data from the `accountFraud` table and order it by the `dateofbirthdistinctemails4w` column in ascending order.","cost":0.000059,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w ASC;","time":0.4187855721}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w DESC;\n```\n\nThis SQL query will fetch all data from the `accountFraud` table, ordered by the `dateofbirthdistinctemails4w` column in descending order.","cost":0.0000588,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w DESC;","time":0.5119318962}}
+{"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":"```sql\nSELECT creditriskscore\nFROM accountFraud\nORDER BY creditriskscore ASC;\n```\n\nThis SQL query will return the `creditriskscore` column from the `accountFraud` table, ordered in ascending order.","cost":0.0000568,"response_parsed":"SELECT creditriskscore\nFROM accountFraud\nORDER BY creditriskscore ASC;","time":0.3526659012}}
+{"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":"```sql\nSELECT creditriskscore \nFROM accountFraud \nORDER BY creditriskscore DESC;\n```\n\nThis SQL query will return the `creditriskscore` column from the `accountFraud` table, ordered in descending order (highest score first).","cost":0.0000576,"response_parsed":"SELECT creditriskscore \nFROM accountFraud \nORDER BY creditriskscore DESC;","time":0.4255099297}}
+{"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":"```sql\nSELECT sessionlengthminutes \nFROM accountFraud \nORDER BY sessionlengthminutes ASC;\n```\n\nThis SQL query will fetch the `sessionlengthminutes` values from the `accountFraud` table, ordered in ascending order.","cost":0.000056,"response_parsed":"SELECT sessionlengthminutes \nFROM accountFraud \nORDER BY sessionlengthminutes ASC;","time":0.4096903801}}
+{"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":"```sql\nSELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes DESC;\n```\n\nThis SQL query will return the `sessionlengthminutes` values from the `accountFraud` table in descending order.","cost":0.0000556,"response_parsed":"SELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes DESC;","time":0.3750722408}}
+{"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 *\nFROM latePayment\nORDER BY invoicenumber ASC;\n```\n\nThis SQL query will fetch all data from the `latePayment` table and order it by the `invoicenumber` column in ascending order.","cost":0.0000568,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoicenumber ASC;","time":0.4013981819}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nORDER BY invoicenumber DESC;\n```\n\nThis SQL query will fetch all data from the `latePayment` table and order it by the `invoicenumber` column in descending order. The `SELECT *` statement retrieves all columns from the table, and the `ORDER BY invoicenumber DESC` statement sorts the results in descending order based on the `invoicenumber` column.","cost":0.0000654,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoicenumber DESC;","time":0.3815302849}}
+{"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 *\nFROM latePayment\nORDER BY invoiceamount ASC;\n```\n\nThis SQL code will fetch all data from the `latePayment` table and order it by the `invoiceamount` column in ascending order.","cost":0.0000554,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoiceamount ASC;","time":0.3941497803}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nORDER BY invoiceamount DESC;\n```\n\nThis SQL query will fetch all data from the `latePayment` table and order it by the `invoiceamount` column in descending order. The `DESC` keyword is used to specify descending order.","cost":0.0000578,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoiceamount DESC;","time":0.380490303}}
+{"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":"```sql\nSELECT daystosettle\nFROM latePayment\nORDER BY daystosettle ASC;\n```\n\nThis SQL query will fetch the `daystosettle` column from the `latePayment` table, ordered in ascending order.","cost":0.0000562,"response_parsed":"SELECT daystosettle\nFROM latePayment\nORDER BY daystosettle ASC;","time":0.3582937717}}
+{"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":"```sql\nSELECT daystosettle\nFROM latePayment\nORDER BY daystosettle DESC;\n```\n\nThis SQL query will return the `daystosettle` column from the `latePayment` table, ordered in descending order. The `DESC` keyword is used to specify the descending order.","cost":0.0000588,"response_parsed":"SELECT daystosettle\nFROM latePayment\nORDER BY daystosettle DESC;","time":0.4539749622}}
+{"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":"```sql\nSELECT disputed \nFROM latePayment \nORDER BY disputed ASC;\n```\n\nThis SQL query will return all the disputed values from the `latePayment` table in ascending order. \n\nHowever, if you want to project the disputed ordered in ascending order along with other columns, you can use the following query:\n\n```sql\nSELECT customerid, invoicenumber, invoicedate, duedate, invoiceamount, disputed \nFROM latePayment \nORDER BY disputed ASC;\n```\n\nThis query will return all the columns from the `latePayment` table, ordered by the `disputed` column in ascending order.","cost":0.000071,"response_parsed":"SELECT customerid, invoicenumber, invoicedate, duedate, invoiceamount, disputed \nFROM latePayment \nORDER BY disputed ASC;","time":0.6058657169}}
+{"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":"```sql\nSELECT disputed \nFROM latePayment \nORDER BY disputed DESC;\n```\n\nThis SQL query will return the 'disputed' column from the 'latePayment' table in descending order. If you want to project only the disputed ones, you can add a WHERE clause:\n\n```sql\nSELECT disputed \nFROM latePayment \nWHERE disputed = 'true' \nORDER BY disputed DESC;\n```\n\nThis query will return only the rows where 'disputed' is 'true', ordered in descending order.","cost":0.000066,"response_parsed":"SELECT disputed \nFROM latePayment \nWHERE disputed = 'true' \nORDER BY disputed DESC;","time":0.6576166153}}
+{"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":"```sql\nSELECT * \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nThis SQL query will fetch all rows from the `accountFraud` table where the `emailisfree` column is equal to `'true'`.","cost":0.0000558,"response_parsed":"SELECT * \nFROM accountFraud \nWHERE emailisfree = 'true';","time":0.3372936249}}
+{"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":"```sql\nSELECT DISTINCT employmentstatus \nFROM accountFraud;\n```\n\nThis SQL code will fetch all unique employment statuses from the `accountFraud` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000548,"response_parsed":"SELECT DISTINCT employmentstatus \nFROM accountFraud;","time":0.3750882149}}
+{"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":"```sql\nSELECT deviceos \nFROM accountFraud;\n```\n\nThis SQL query will fetch all the unique values in the 'deviceos' column from the 'accountFraud' table.","cost":0.0000532,"response_parsed":"SELECT deviceos \nFROM accountFraud;","time":0.3336148262}}
+{"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":"```sql\nSELECT sessionlengthminutes \nFROM accountFraud;\n```\n\nThis SQL code will fetch all the `sessionlengthminutes` from the `accountFraud` table.","cost":0.0000528,"response_parsed":"SELECT sessionlengthminutes \nFROM accountFraud;","time":0.3812716007}}
+{"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":"```sql\nSELECT DISTINCT housingstatus \nFROM accountFraud;\n```\n\nThis SQL code will fetch all unique housing statuses from the `accountFraud` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000548,"response_parsed":"SELECT DISTINCT housingstatus \nFROM accountFraud;","time":0.4313662052}}
+{"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 *\nFROM accountFraud;\n```\n\nThis SQL query will return all rows from the `accountFraud` table. \n\nNote: The `SELECT *` statement is used to select all columns from a table. If you want to select specific columns, you can replace `*` with the column names separated by commas. For example:\n\n```sql\nSELECT hasothercards, housingstatus, dateofbirthdistinctemails4w\nFROM accountFraud;\n```","cost":0.0000648,"response_parsed":"SELECT hasothercards, housingstatus, dateofbirthdistinctemails4w\nFROM accountFraud;","time":0.5425345898}}
+{"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":"```sql\nSELECT emailisfree \nFROM accountFraud;\n```\n\nThis SQL query will fetch all the values in the `emailisfree` column from the `accountFraud` table.","cost":0.0000536,"response_parsed":"SELECT emailisfree \nFROM accountFraud;","time":0.4280595779}}
+{"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\nFROM accountFraud;\n```\n\nThis SQL query will fetch all the rows from the `accountFraud` table and return the `income` and `housingstatus` columns.","cost":0.0000548,"response_parsed":"SELECT income, housingstatus\nFROM accountFraud;","time":0.7533969879}}
+{"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 \n    hasothercards,\n    deviceos,\n    creditriskscore\nFROM \n    accountFraud;\n```\n\nThis SQL query will fetch all the rows from the `accountFraud` table and return the `hasothercards`, `deviceos`, and `creditriskscore` columns.","cost":0.0000604,"response_parsed":"SELECT \n    hasothercards,\n    deviceos,\n    creditriskscore\nFROM \n    accountFraud;","time":0.3754341602}}
+{"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 \n  housingstatus,\n  creditriskscore,\n  sessionlengthminutes,\n  paymenttype\nFROM \n  accountFraud;\n```\n\nThis SQL code will fetch all the specified columns (`housingstatus`, `creditriskscore`, `sessionlengthminutes`, `paymenttype`) from the `accountFraud` table in the database.","cost":0.0000624,"response_parsed":"SELECT \n  housingstatus,\n  creditriskscore,\n  sessionlengthminutes,\n  paymenttype\nFROM \n  accountFraud;","time":0.5461137295}}
+{"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":"```sql\nSELECT \n  dateofbirthdistinctemails4w,\n  income,\n  deviceos,\n  hasothercards,\n  sessionlengthminutes\nFROM \n  accountFraud;\n```\n\nThis SQL query will fetch all the specified columns (`dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, `sessionlengthminutes`) from the `accountFraud` table.","cost":0.0000658,"response_parsed":"SELECT \n  dateofbirthdistinctemails4w,\n  income,\n  deviceos,\n  hasothercards,\n  sessionlengthminutes\nFROM \n  accountFraud;","time":0.4270708561}}
+{"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":"```sql\nSELECT \n  hasothercards,\n  emailisfree,\n  employmentstatus,\n  dateofbirthdistinctemails4w,\n  sessionlengthminutes,\n  income\nFROM \n  accountFraud;\n```\n\nThis SQL query will fetch all the specified columns from the `accountFraud` table.","cost":0.0000624,"response_parsed":"SELECT \n  hasothercards,\n  emailisfree,\n  employmentstatus,\n  dateofbirthdistinctemails4w,\n  sessionlengthminutes,\n  income\nFROM \n  accountFraud;","time":0.4109289646}}
+{"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":"```sql\nSELECT \n  creditriskscore,\n  deviceos,\n  hasothercards,\n  paymenttype,\n  emailisfree,\n  housingstatus,\n  income\nFROM \n  accountFraud;\n```\n\nThis SQL query will fetch all the specified columns from the `accountFraud` table.","cost":0.0000622,"response_parsed":"SELECT \n  creditriskscore,\n  deviceos,\n  hasothercards,\n  paymenttype,\n  emailisfree,\n  housingstatus,\n  income\nFROM \n  accountFraud;","time":0.4408640862}}
+{"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```\n\nThis SQL query will fetch all the specified columns from the `accountFraud` table.","cost":0.0000664,"response_parsed":"SELECT \n  creditriskscore,\n  sessionlengthminutes,\n  emailisfree,\n  deviceos,\n  paymenttype,\n  dateofbirthdistinctemails4w,\n  employmentstatus,\n  hasothercards\nFROM \n  accountFraud;","time":0.563792944}}
+{"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 \n  housingstatus,\n  paymenttype,\n  dateofbirthdistinctemails4w,\n  employmentstatus,\n  creditriskscore,\n  deviceos,\n  emailisfree,\n  income,\n  sessionlengthminutes\nFROM \n  accountFraud;\n```\n\nThis SQL query will fetch all the specified columns from the `accountFraud` table.","cost":0.000067,"response_parsed":"SELECT \n  housingstatus,\n  paymenttype,\n  dateofbirthdistinctemails4w,\n  employmentstatus,\n  creditriskscore,\n  deviceos,\n  emailisfree,\n  income,\n  sessionlengthminutes\nFROM \n  accountFraud;","time":0.3995964527}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE paperlessbill = 'true';\n```\n\nThis SQL query will fetch all rows from the `latePayment` table where the `paperlessbill` column is equal to `'true'`.","cost":0.000055,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessbill = 'true';","time":0.404654026}}
+{"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":"```sql\nSELECT invoiceamount \nFROM latePayment;\n```\n\nThis SQL query will fetch all the `invoiceamount` values from the `latePayment` table.","cost":0.0000518,"response_parsed":"SELECT invoiceamount \nFROM latePayment;","time":0.319965601}}
+{"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":"```sql\nSELECT paperlessdate \nFROM latePayment;\n```\n\nThis SQL query will fetch all the `paperlessdate` values from the `latePayment` table.","cost":0.0000524,"response_parsed":"SELECT paperlessdate \nFROM latePayment;","time":0.3422896862}}
+{"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":"```sql\nSELECT duedate \nFROM latePayment;\n```\n\nThis SQL query will fetch all the 'duedate' values from the 'latePayment' table.","cost":0.0000522,"response_parsed":"SELECT duedate \nFROM latePayment;","time":0.4017415047}}
+{"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":"```sql\nSELECT daystosettle \nFROM latePayment;\n```\n\nThis SQL query will fetch all the `daystosettle` values from the `latePayment` table.","cost":0.000053,"response_parsed":"SELECT daystosettle \nFROM latePayment;","time":0.3054659367}}
+{"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 *\nFROM latePayment;\n```\n\nThis SQL query will return all rows from the `latePayment` table.","cost":0.0000504,"response_parsed":"SELECT *\nFROM latePayment;","time":0.3440403938}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE disputed = 'true';\n```\n\nThis SQL query will fetch all rows from the `latePayment` table where the `disputed` column is equal to `'true'`.","cost":0.000054,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed = 'true';","time":0.3947637081}}
+{"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 \nFROM latePayment;\n```\n\nThis SQL code will fetch all the `duedate` and `customerid` from the `latePayment` table.","cost":0.0000542,"response_parsed":"SELECT duedate, customerid \nFROM latePayment;","time":0.3011770248}}
+{"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":"```sql\nSELECT \n  paperlessdate,\n  duedate,\n  customerid\nFROM \n  latePayment;\n```\n\nThis SQL query will fetch all the `paperlessdate`, `duedate`, and `customerid` from the `latePayment` table.","cost":0.000058,"response_parsed":"SELECT \n  paperlessdate,\n  duedate,\n  customerid\nFROM \n  latePayment;","time":0.4366219044}}
+{"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":"```sql\nSELECT \n    daystosettle,\n    paperlessdate,\n    invoicedate,\n    duedate\nFROM \n    latePayment;\n```\n\nThis SQL query will fetch all the `daystosettle`, `paperlessdate`, `invoicedate`, and `duedate` from the `latePayment` table.","cost":0.0000622,"response_parsed":"SELECT \n    daystosettle,\n    paperlessdate,\n    invoicedate,\n    duedate\nFROM \n    latePayment;","time":0.4408886433}}
+{"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":"```sql\nSELECT \n  paperlessdate,\n  invoicedate,\n  dayslate,\n  invoicenumber,\n  duedate\nFROM \n  latePayment;\n```\n\nThis SQL code will fetch all the specified columns from the `latePayment` table in the database.","cost":0.0000602,"response_parsed":"SELECT \n  paperlessdate,\n  invoicedate,\n  dayslate,\n  invoicenumber,\n  duedate\nFROM \n  latePayment;","time":0.478659153}}
+{"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":"```sql\nSELECT \n  invoiceamount,\n  daystosettle,\n  disputed,\n  paperlessdate,\n  duedate,\n  invoicenumber\nFROM \n  latePayment;\n```\n\nThis SQL query will fetch all the specified columns from the `latePayment` table in the database.","cost":0.0000616,"response_parsed":"SELECT \n  invoiceamount,\n  daystosettle,\n  disputed,\n  paperlessdate,\n  duedate,\n  invoicenumber\nFROM \n  latePayment;","time":0.4902684689}}
+{"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":"```sql\nSELECT \n    customerid,\n    invoiceamount,\n    duedate,\n    dayslate,\n    daystosettle,\n    invoicedate,\n    disputed\nFROM \n    latePayment;\n```\n\nThis SQL query will fetch all the required columns (`customerid`, `invoiceamount`, `duedate`, `dayslate`, `daystosettle`, `invoicedate`, `disputed`) from the `latePayment` table.","cost":0.000068,"response_parsed":"SELECT \n    customerid,\n    invoiceamount,\n    duedate,\n    dayslate,\n    daystosettle,\n    invoicedate,\n    disputed\nFROM \n    latePayment;","time":0.4716722965}}
+{"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":"```sql\nSELECT \n  daystosettle,\n  customerid,\n  paperlessbill,\n  paperlessdate,\n  invoicedate,\n  duedate,\n  invoicenumber,\n  disputed\nFROM \n  latePayment;\n```\n\nThis SQL query will fetch all the specified columns from the `latePayment` table in the database.","cost":0.0000652,"response_parsed":"SELECT \n  daystosettle,\n  customerid,\n  paperlessbill,\n  paperlessdate,\n  invoicedate,\n  duedate,\n  invoicenumber,\n  disputed\nFROM \n  latePayment;","time":0.379332304}}
+{"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":"```sql\nSELECT \n  paperlessdate,\n  dayslate,\n  daystosettle,\n  invoicedate,\n  customerid,\n  invoiceamount,\n  paperlessbill,\n  invoicenumber,\n  duedate\nFROM \n  latePayment;\n```\n\nThis SQL query will fetch all the specified columns from the `latePayment` table. The `SELECT` statement is used to specify the columns to be retrieved, and the `FROM` clause is used to specify the table from which to retrieve the data.","cost":0.0000732,"response_parsed":"SELECT \n  paperlessdate,\n  dayslate,\n  daystosettle,\n  invoicedate,\n  customerid,\n  invoiceamount,\n  paperlessbill,\n  invoicenumber,\n  duedate\nFROM \n  latePayment;","time":0.4503426552}}
+{"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 *\nFROM accountFraud\nWHERE paymenttype = 'AC';\n```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `paymenttype` is equal to `'AC'`.","cost":0.0000566,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE paymenttype = 'AC';","time":0.3748271465}}
+{"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```\n\nThis SQL query will fetch all the data from the `accountFraud` table where the `paymenttype` is not equal to 'AC'.","cost":0.0000562,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE paymenttype != 'AC';","time":0.3856852055}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nWHERE paymenttype != 'AA';\n```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `paymenttype` is not equal to `'AA'`.","cost":0.0000568,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE paymenttype != 'AA';","time":0.4651138783}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nWHERE employmentstatus = 'CB';\n```\n\nThis SQL query will return all columns (`*`) from the `accountFraud` table where the `employmentstatus` is equal to 'CB'.","cost":0.0000564,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE employmentstatus = 'CB';","time":0.5649363995}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `accountFraud` table where the `employmentstatus` is not equal to `'CA'`.","cost":0.0000568,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE employmentstatus != 'CA';","time":0.3493897915}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nWHERE employmentstatus != 'CA';\n```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `employmentstatus` is not equal to `'CA'`.","cost":0.0000568,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE employmentstatus != 'CA';","time":0.4442641735}}
+{"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 *\nFROM accountFraud\nWHERE deviceos = 'windows';\n```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `deviceos` column is equal to `'windows'`.","cost":0.0000568,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE deviceos = 'windows';","time":0.4672842026}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nWHERE deviceos != (SELECT deviceos \n                   FROM accountFraud \n                   GROUP BY deviceos \n                   HAVING COUNT(deviceos) > 1);\n```\n\nThis SQL query will return all rows from the `accountFraud` table where the `deviceos` is different from other rows. The subquery groups the `deviceos` values and selects those that appear only once, i.e., are not duplicated. The outer query then selects all rows where the `deviceos` does not match any of these unique values.","cost":0.0000702,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE deviceos != (SELECT deviceos \n                   FROM accountFraud \n                   GROUP BY deviceos \n                   HAVING COUNT(deviceos) > 1);","time":0.6211876869}}
+{"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 != (SELECT deviceos FROM accountFraud GROUP BY deviceos HAVING COUNT(deviceos) > 1);\n```\n\nThis SQL query will return all rows from the `accountFraud` table where the `deviceos` is not equal to any other `deviceos` in the table. The subquery `(SELECT deviceos FROM accountFraud GROUP BY deviceos HAVING COUNT(deviceos) > 1)` groups the `deviceos` by their count and selects only the ones that appear more than once. The outer query then selects all rows where the `deviceos` does not match any of these.","cost":0.0000742,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE deviceos != (SELECT deviceos FROM accountFraud GROUP BY deviceos HAVING COUNT(deviceos) > 1);","time":1.1468601227}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nWHERE income < 0.4;\n```\n\nThis SQL query will return all columns (`*`) from the `accountFraud` table where the `income` is less than 0.4.","cost":0.0000572,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE income < 0.4;","time":0.4845495224}}
+{"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 *\nFROM accountFraud\nWHERE sessionlengthminutes > 3.749706225590873;\n```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `sessionlengthminutes` is greater than 3.749706225590873.","cost":0.0000608,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE sessionlengthminutes > 3.749706225590873;","time":0.4187970161}}
+{"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":"```sql\nSELECT *\nFROM accountFraud\nWHERE sessionlengthminutes < 4.886676763177824;\n```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `sessionlengthminutes` is less than 4.886676763177824.","cost":0.0000608,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE sessionlengthminutes < 4.886676763177824;","time":0.367177248}}
+{"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 *\nFROM accountFraud\nWHERE creditriskscore > 108;\n```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `creditriskscore` is greater than 108.","cost":0.0000578,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE creditriskscore > 108;","time":0.3212883472}}
+{"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```\n\nThis SQL query will fetch all columns (`*`) from the `accountFraud` table where the `creditriskscore` is less than 108.","cost":0.0000578,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE creditriskscore < 108;","time":0.3578145504}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE disputed = 'No';\n```\n\nThis SQL query will fetch all columns (`*`) from the `latePayment` table where the value in the `disputed` column is equal to `'No'`.","cost":0.0000564,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed = 'No';","time":0.3458535671}}
+{"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 *\nFROM latePayment\nWHERE disputed != 'Yes';\n```\n\nThis SQL query will fetch all the data from the `latePayment` table where the value in the `disputed` column is not equal to 'Yes'.","cost":0.000056,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed != 'Yes';","time":0.4480130672}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE disputed != 'Yes';\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the value in the `disputed` column is not equal to `'Yes'`.","cost":0.0000566,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed != 'Yes';","time":0.4434595108}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate = '2\/6\/2012';\n```\n\nThis SQL query will fetch all columns (`*`) from the `latePayment` table where the `paperlessdate` is equal to '2\/6\/2012'. \n\nNote: The date format in the query is 'MM\/DD\/YYYY', which is a common format in the United States. If your database uses a different date format (e.g., 'YYYY-MM-DD'), you may need to adjust the query accordingly. \n\nAlso, if the date is stored as a date type in the database, you can use the following query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate = '2012-06-02';\n```","cost":0.000079,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate = '2012-06-02';","time":0.8024015427}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `paperlessdate` is not equal to '2\/6\/2012'.","cost":0.0000598,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate != '2\/6\/2012';","time":0.64204669}}
+{"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```\n\nThis SQL query will fetch all the data from the `latePayment` table where the `paperlessdate` is not equal to '1\/26\/2012'.","cost":0.0000594,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate != '1\/26\/2012';","time":0.3381381035}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE invoicedate = '4\/11\/2012';\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `invoicedate` is equal to '4\/11\/2012'.","cost":0.0000598,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicedate = '4\/11\/2012';","time":0.3257184029}}
+{"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 *\nFROM latePayment\nWHERE invoicedate != '4\/11\/2012';\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `invoicedate` is not equal to '4\/11\/2012'.","cost":0.00006,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicedate != '4\/11\/2012';","time":0.3563745022}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE invoicedate != '6\/18\/2013';\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `invoicedate` is not equal to '6\/18\/2013'.","cost":0.00006,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicedate != '6\/18\/2013';","time":0.5451493263}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE dayslate > 0;\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `dayslate` column is greater than 0.","cost":0.0000562,"response_parsed":"SELECT *\nFROM latePayment\nWHERE dayslate > 0;","time":0.5901818275}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE dayslate < 6;\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `dayslate` is less than 6.","cost":0.000056,"response_parsed":"SELECT *\nFROM latePayment\nWHERE dayslate < 6;","time":0.3424985409}}
+{"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 *\nFROM latePayment\nWHERE invoiceamount > 84.86;\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `invoiceamount` is greater than 84.86.","cost":0.0000572,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoiceamount > 84.86;","time":0.3543710709}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE invoiceamount < 37.49;\n```\n\nThis SQL query will return all columns (`*`) from the `latePayment` table where the `invoiceamount` is less than 37.49.","cost":0.0000572,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoiceamount < 37.49;","time":0.3952376842}}
+{"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":"```sql\nSELECT *\nFROM latePayment\nWHERE invoicenumber > 9465847338;\n```\n\nThis SQL query will fetch all columns (`*`) from the `latePayment` table where the `invoicenumber` is greater than 9465847338.","cost":0.0000592,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicenumber > 9465847338;","time":0.3919517994}}
+{"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```\n\nThis SQL query will fetch all columns (`*`) from the `latePayment` table where the `invoicenumber` is less than 6528247418.","cost":0.0000592,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicenumber < 6528247418;","time":0.4642813206}}
+{"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":"```sql\nSELECT COUNT(DISTINCT employmentstatus) \nFROM accountFraud;\n```\n\nThis SQL query will return the number of different employment statuses in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `employmentstatus` column.","cost":0.0000584,"response_parsed":"SELECT COUNT(DISTINCT employmentstatus) \nFROM accountFraud;","time":0.4365205765}}
+{"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":"```sql\nSELECT COUNT(DISTINCT housingstatus) \nFROM accountFraud;\n```\n\nThis SQL query will return the number of different housing statuses in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `housingstatus` column.","cost":0.0000584,"response_parsed":"SELECT COUNT(DISTINCT housingstatus) \nFROM accountFraud;","time":0.3653306961}}
+{"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":"```sql\nSELECT COUNT(DISTINCT deviceos) \nFROM accountFraud;\n```\n\nThis SQL query will return the number of different deviceos in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `deviceos` column.","cost":0.0000584,"response_parsed":"SELECT COUNT(DISTINCT deviceos) \nFROM accountFraud;","time":0.4305562973}}
+{"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":"```sql\nSELECT COUNT(DISTINCT hasothercards) \nFROM accountFraud;\n```\n\nThis SQL query will return the number of different `hasothercards` values in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.000059,"response_parsed":"SELECT COUNT(DISTINCT hasothercards) \nFROM accountFraud;","time":0.4451913834}}
+{"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":"```sql\nSELECT COUNT(DISTINCT emailisfree) \nFROM accountFraud;\n```\n\nThis SQL query will return the number of different `emailisfree` values in the `accountFraud` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.000059,"response_parsed":"SELECT COUNT(DISTINCT emailisfree) \nFROM accountFraud;","time":0.4706954956}}
+{"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":"```sql\nSELECT MAX(creditriskscore) \nFROM accountFraud;\n```\n\nThis SQL query will return the maximum credit risk score from the `accountFraud` table.","cost":0.0000536,"response_parsed":"SELECT MAX(creditriskscore) \nFROM accountFraud;","time":0.2830140591}}
+{"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":"```sql\nSELECT MIN(creditriskscore) \nFROM accountFraud;\n```\n\nThis SQL query will return the minimum credit risk score from the `creditriskscore` column in the `accountFraud` table.","cost":0.0000554,"response_parsed":"SELECT MIN(creditriskscore) \nFROM accountFraud;","time":0.3276348114}}
+{"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":"```sql\nSELECT AVG(creditriskscore) \nFROM accountFraud;\n```\n\nThis SQL query will return the average credit risk score for the table `accountFraud`. \n\nNote: The `AVG()` function is used to calculate the average of a set of values. In this case, it's applied to the `creditriskscore` column in the `accountFraud` table.","cost":0.0000626,"response_parsed":"SELECT AVG(creditriskscore) \nFROM accountFraud;","time":0.3794484138}}
+{"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":"```sql\nSELECT MAX(income) \nFROM accountFraud;\n```\n\nThis SQL query will return the maximum income from the `income` column in the `accountFraud` table.","cost":0.0000532,"response_parsed":"SELECT MAX(income) \nFROM accountFraud;","time":0.3942019939}}
+{"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":"```sql\nSELECT MIN(income) \nFROM accountFraud;\n```\n\nThis SQL query will return the minimum income from the `income` column in the `accountFraud` table.","cost":0.0000532,"response_parsed":"SELECT MIN(income) \nFROM accountFraud;","time":0.3113632202}}
+{"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":"```sql\nSELECT AVG(income) \nFROM accountFraud;\n```\n\nThis SQL query will return the average income for all rows in the `accountFraud` table. \n\nNote: The `AVG` function is used to calculate the average of a numeric column. In this case, it's applied to the `income` column.","cost":0.0000594,"response_parsed":"SELECT AVG(income) \nFROM accountFraud;","time":0.3492588997}}
+{"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":"```sql\nSELECT COUNT(DISTINCT invoicedate) \nFROM latePayment;\n```\n\nThis SQL query will return the number of different invoicedate values in the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values from the `invoicedate` column, and then `COUNT` is used to count the number of unique values.","cost":0.000061,"response_parsed":"SELECT COUNT(DISTINCT invoicedate) \nFROM latePayment;","time":0.4671664238}}
+{"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":"```sql\nSELECT COUNT(DISTINCT disputed) \nFROM latePayment;\n```\n\nThis SQL query will return the number of different disputed values in the `latePayment` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `disputed` column.","cost":0.0000574,"response_parsed":"SELECT COUNT(DISTINCT disputed) \nFROM latePayment;","time":0.4754765034}}
+{"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":"```sql\nSELECT COUNT(DISTINCT customerid) \nFROM latePayment;\n```\n\nThis SQL query will return the count of unique customer IDs in the `latePayment` table. The `DISTINCT` keyword is used to remove duplicate values from the result set, and the `COUNT` function is used to count the number of unique values.","cost":0.0000594,"response_parsed":"SELECT COUNT(DISTINCT customerid) \nFROM latePayment;","time":0.4740567207}}
+{"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":"```sql\nSELECT COUNT(DISTINCT paperlessdate) \nFROM latePayment;\n```\n\nThis SQL query will return the number of different `paperlessdate` values in the `latePayment` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.0000584,"response_parsed":"SELECT COUNT(DISTINCT paperlessdate) \nFROM latePayment;","time":0.8430166245}}
+{"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":"```sql\nSELECT COUNT(DISTINCT duedate) \nFROM latePayment;\n```\n\nThis SQL query will return the number of different `duedate` values in the `latePayment` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `duedate` column.","cost":0.0000588,"response_parsed":"SELECT COUNT(DISTINCT duedate) \nFROM latePayment;","time":0.4222006798}}
+{"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":"```sql\nSELECT MAX(daystosettle) \nFROM latePayment;\n```\n\nThis SQL query will return the maximum value of `daystosettle` from the `latePayment` table.","cost":0.0000538,"response_parsed":"SELECT MAX(daystosettle) \nFROM latePayment;","time":0.3831710815}}
+{"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":"```sql\nSELECT MIN(daystosettle) \nFROM latePayment;\n```\n\nThis SQL query will return the minimum value of `daystosettle` from the `latePayment` table.","cost":0.0000538,"response_parsed":"SELECT MIN(daystosettle) \nFROM latePayment;","time":0.435852766}}
+{"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":"```sql\nSELECT AVG(daystosettle) \nFROM latePayment;\n```\n\nThis SQL query will return the average `daystosettle` for all rows in the `latePayment` table.","cost":0.000054,"response_parsed":"SELECT AVG(daystosettle) \nFROM latePayment;","time":0.3270328045}}
+{"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":"```sql\nSELECT MAX(dayslate) \nFROM latePayment;\n```\n\nThis SQL query will return the maximum value of `dayslate` from the `latePayment` table.","cost":0.0000526,"response_parsed":"SELECT MAX(dayslate) \nFROM latePayment;","time":0.3371889591}}
+{"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":"```sql\nSELECT MIN(dayslate) \nFROM latePayment;\n```\n\nThis SQL query will return the minimum value of `dayslate` from the `latePayment` table.","cost":0.0000526,"response_parsed":"SELECT MIN(dayslate) \nFROM latePayment;","time":0.4123952389}}
+{"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":"```sql\nSELECT AVG(dayslate) \nFROM latePayment;\n```\n\nThis SQL query will return the average number of days late for all payments in the `latePayment` table.","cost":0.0000528,"response_parsed":"SELECT AVG(dayslate) \nFROM latePayment;","time":0.4051272869}}
+{"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":"```sql\nSELECT DISTINCT menopausalstatus \nFROM breastCancer;\n```\n\nThis SQL query will return the different menopausal statuses present in the `breastCancer` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000592,"response_parsed":"SELECT DISTINCT menopausalstatus \nFROM breastCancer;","time":0.5574746132}}
+{"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":"```sql\nSELECT DISTINCT hormonaltherapy \nFROM breastCancer;\n```\n\nThis SQL query will return all the unique hormonal therapies present in the `breastCancer` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.000058,"response_parsed":"SELECT DISTINCT hormonaltherapy \nFROM breastCancer;","time":0.4950025082}}
+{"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":"```sql\nSELECT DISTINCT status \nFROM breastCancer;\n```\n\nThis SQL query will return all the unique status values from the `breastCancer` table. The `DISTINCT` keyword is used to retrieve only unique values, eliminating duplicates.","cost":0.0000582,"response_parsed":"SELECT DISTINCT status \nFROM breastCancer;","time":0.5053186417}}
+{"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":"```sql\nSELECT DISTINCT sex \nFROM heartAttack;\n```\n\nThis SQL query will return the different sex values from the \"sex\" column in the \"heartAttack\" table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000578,"response_parsed":"SELECT DISTINCT sex \nFROM heartAttack;","time":0.4915935993}}
+{"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":"```sql\nSELECT DISTINCT chestpaintype \nFROM heartAttack;\n```\n\nThis SQL code will fetch all the different chestpaintype values from the \"heartAttack\" table. The `DISTINCT` keyword is used to return only unique values.","cost":0.000058,"response_parsed":"SELECT DISTINCT chestpaintype \nFROM heartAttack;","time":0.3783643246}}
+{"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":"```sql\nSELECT DISTINCT fastingbloodsugar\nFROM heartAttack;\n```\n\nThis SQL query will return the different values of `fastingbloodsugar` from the `heartAttack` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000592,"response_parsed":"SELECT DISTINCT fastingbloodsugar\nFROM heartAttack;","time":0.3947324753}}
+{"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":"```sql\nSELECT DISTINCT restingelectrocardiographicrresults \nFROM heartAttack;\n```\n\nThis SQL code will fetch all the different resting electrocardiographic results from the `heartAttack` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000606,"response_parsed":"SELECT DISTINCT restingelectrocardiographicrresults \nFROM heartAttack;","time":0.383866787}}
+{"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":"```sql\nSELECT DISTINCT \n    heartAttack.age,\n    heartAttack.sex,\n    heartAttack.chestpaintype,\n    heartAttack.restingbloodpressure,\n    heartAttack.cholestoralinmg,\n    heartAttack.fastingbloodsugar,\n    heartAttack.restingelectrocardiographicrresults,\n    heartAttack.numberofmajorvvessels,\n    heartAttack.thall,\n    heartAttack.output\nFROM \n    heartAttack;\n```\n\nThis SQL query will return all the unique rows from the `heartAttack` table. If you want to remove duplicate rows based on a specific column, you can use the `DISTINCT` keyword along with that column. For example, to remove duplicate rows based on the `age` column, you can use the following query:\n\n```sql\nSELECT DISTINCT \n    age,\n    sex,\n    chestpaintype,\n    restingbloodpressure,\n    cholestoralinmg,\n    fastingbloodsugar,\n    restingelectrocardiographicrresults,\n    numberofmajorvvessels,\n    thall,\n    output\nFROM \n    heartAttack;\n```\n\nHowever, if you want to remove duplicate rows based on multiple columns, you can use the `GROUP BY` clause along with the `DISTINCT` keyword. For example, to remove duplicate rows based on the `age` and `sex` columns, you can use the following query:\n\n```sql\nSELECT \n    age,\n    sex,\n    chestpaintype,\n    restingbloodpressure,\n    cholestoralinmg,\n    fastingbloodsugar,\n    restingelectrocardiographicrresults,\n    numberofmajorvvessels,\n    thall,\n    output\nFROM \n    heartAttack\nGROUP BY \n    age, sex;\n```\n\nNote that the `GROUP BY` clause will group the rows based on the specified columns, and the `SELECT` clause will return the first row from each group. If you want to return all the rows from each group, you can use the `DISTINCT` keyword along with the `GROUP BY` clause. For example:\n\n```sql\nSELECT DISTINCT \n    age,\n    sex,\n    chestpaintype,\n    restingbloodpressure,\n    cholestoralinmg,\n    fastingbloodsugar,\n    restingelectrocardiographicrresults,\n    numberofmajorvvessels,\n    thall,\n    output\nFROM \n    heartAttack\nGROUP BY \n    age, sex;\n```","cost":0.0001486,"response_parsed":"SELECT DISTINCT \n    age,\n    sex,\n    chestpaintype,\n    restingbloodpressure,\n    cholestoralinmg,\n    fastingbloodsugar,\n    restingelectrocardiographicrresults,\n    numberofmajorvvessels,\n    thall,\n    output\nFROM \n    heartAttack\nGROUP BY \n    age, sex;","time":1.4008135796}}
+{"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 \n    menopausalstatus, \n    COUNT(*) as count\nFROM \n    breastCancer\nGROUP BY \n    menopausalstatus;\n```\n\nThis SQL query will return the count of rows for each unique `menopausalstatus` in the `breastCancer` table. The `GROUP BY` clause groups the rows by `menopausalstatus`, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000686,"response_parsed":"SELECT \n    menopausalstatus, \n    COUNT(*) as count\nFROM \n    breastCancer\nGROUP BY \n    menopausalstatus;","time":0.5938687325}}
+{"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":"```sql\nSELECT \n    hormonaltherapy, \n    COUNT(*) as count\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return a list of all unique hormonal therapies in the `breastCancer` table, along with the number of rows for each therapy. The `GROUP BY` clause groups the rows by the `hormonaltherapy` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000688,"response_parsed":"SELECT \n    hormonaltherapy, \n    COUNT(*) as count\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.4907543659}}
+{"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":"```sql\nSELECT \n  bc.status, \n  COUNT(bc.patientidentifier) AS count\nFROM \n  breastCancer bc\nGROUP BY \n  bc.status;\n```\n\nThis SQL query will return a list of all unique statuses in the `breastCancer` table along with the count of rows for each status. The `GROUP BY` clause groups the rows by the `status` column, and the `COUNT` function counts the number of rows in each group.","cost":0.0000682,"response_parsed":"SELECT \n  bc.status, \n  COUNT(bc.patientidentifier) AS count\nFROM \n  breastCancer bc\nGROUP BY \n  bc.status;","time":0.562659502}}
+{"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":"```sql\nSELECT \n    hormonaltherapy,\n    MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return the minimum value of `progesteronereceptor` for each unique value of `hormonaltherapy` in the `breastCancer` table. The result will be grouped by `hormonaltherapy` and will include the minimum `progesteronereceptor` value for each group.","cost":0.0000712,"response_parsed":"SELECT \n    hormonaltherapy,\n    MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.7264478207}}
+{"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":"```sql\nSELECT \n    hormonaltherapy,\n    MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return the maximum value of `progesteronereceptor` for each unique value in the `hormonaltherapy` column in the `breastCancer` table. The result will be grouped by `hormonaltherapy` and will include the maximum `progesteronereceptor` value for each group.","cost":0.0000716,"response_parsed":"SELECT \n    hormonaltherapy,\n    MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.5561225414}}
+{"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":"```sql\nSELECT \n    hormonaltherapy, \n    AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return the average value of `progesteronereceptor` for each unique value in the `hormonaltherapy` column in the `breastCancer` table. The result will be grouped by `hormonaltherapy` and the average value will be calculated for each group.","cost":0.0000706,"response_parsed":"SELECT \n    hormonaltherapy, \n    AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.5407655239}}
+{"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":"```sql\nSELECT \n    hormonaltherapy, \n    SUM(progesteronereceptor) AS total_progesterone_receptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return the sum of progesterone receptor for each hormonal therapy in the breastCancer table. The result will be a table with two columns: `hormonaltherapy` and `total_progesterone_receptor`.","cost":0.0000678,"response_parsed":"SELECT \n    hormonaltherapy, \n    SUM(progesteronereceptor) AS total_progesterone_receptor\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.4785015583}}
+{"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":"```sql\nSELECT \n    hormonaltherapy,\n    MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return the minimum number of positively lymph nodes for each hormonal therapy in the `breastCancer` table. The `GROUP BY` clause groups the results by `hormonaltherapy`, and the `MIN` function calculates the minimum value of `numberpositivelymphnodes` for each group.","cost":0.0000708,"response_parsed":"SELECT \n    hormonaltherapy,\n    MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.5903096199}}
+{"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":"```sql\nSELECT \n    hormonaltherapy,\n    MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return the maximum number of positively lymph nodes for each hormonal therapy in the `breastCancer` table. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `MAX` function calculates the maximum value of `numberpositivelymphnodes` for each group.","cost":0.0000714,"response_parsed":"SELECT \n    hormonaltherapy,\n    MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.5668964386}}
+{"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":"```sql\nSELECT \n    hormonaltherapy, \n    AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return the average number of positively lymph nodes for each hormonal therapy in the `breastCancer` table. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `AVG` function calculates the average of the `numberpositivelymphnodes` column for each group.","cost":0.000072,"response_parsed":"SELECT \n    hormonaltherapy, \n    AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.6072685719}}
+{"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":"```sql\nSELECT \n    hormonaltherapy, \n    SUM(numberpositivelymphnodes) AS total_lymph_nodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;\n```\n\nThis SQL query will return a list of hormonal therapies along with the total number of positively lymph nodes for each therapy. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `SUM` function calculates the total number of positively lymph nodes for each group.","cost":0.0000698,"response_parsed":"SELECT \n    hormonaltherapy, \n    SUM(numberpositivelymphnodes) AS total_lymph_nodes\nFROM \n    breastCancer\nGROUP BY \n    hormonaltherapy;","time":0.5065026283}}
+{"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":"```sql\nSELECT \n    status,\n    MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    status;\n```\n\nThis SQL query will return the minimum value of `progesteronereceptor` for each unique `status` in the `breastCancer` table. The `GROUP BY` clause is used to group the rows by the `status` column, and the `MIN` aggregation function is used to calculate the minimum value of `progesteronereceptor` for each group.","cost":0.0000728,"response_parsed":"SELECT \n    status,\n    MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    status;","time":0.512055397}}
+{"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":"```sql\nSELECT \n  status, \n  MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM \n  breastCancer\nGROUP BY \n  status;\n```\n\nThis SQL query will return the maximum value of `progesteronereceptor` for each `status` in the `breastCancer` table. The `GROUP BY` clause groups the rows by the `status` column, and the `MAX` function calculates the maximum value of `progesteronereceptor` for each group.","cost":0.0000714,"response_parsed":"SELECT \n  status, \n  MAX(progesteronereceptor) AS max_progesteronereceptor\nFROM \n  breastCancer\nGROUP BY \n  status;","time":0.4753808975}}
+{"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 \n    status,\n    AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    status;\n```\n\nThis SQL query will return the average value of `progesteronereceptor` for each unique `status` in the `breastCancer` table. The `GROUP BY` clause is used to group the rows by the `status` column, and the `AVG` function is used to calculate the average value of `progesteronereceptor` for each group.","cost":0.0000728,"response_parsed":"SELECT \n    status,\n    AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    status;","time":0.4702663422}}
+{"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":"```sql\nSELECT \n    status,\n    SUM(progesteronereceptor) AS total_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    status;\n```\n\nThis SQL query will return the sum of progesterone receptor for each status in the breastCancer table. The `GROUP BY` clause groups the results by the status column, and the `SUM` function calculates the total progesterone receptor for each group.","cost":0.000068,"response_parsed":"SELECT \n    status,\n    SUM(progesteronereceptor) AS total_progesteronereceptor\nFROM \n    breastCancer\nGROUP BY \n    status;","time":0.5724744797}}
+{"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":"```sql\nSELECT \n  status,\n  MIN(numberpositivelymphnodes) AS min_lmphnodes\nFROM \n  breastCancer\nGROUP BY \n  status;\n```\n\nThis SQL query will return the minimum number of positivelymphnodes for each status in the breastCancer table. The `GROUP BY` clause groups the rows by the `status` column, and the `MIN` aggregation function calculates the minimum value of `numberpositivelymphnodes` for each group.","cost":0.0000692,"response_parsed":"SELECT \n  status,\n  MIN(numberpositivelymphnodes) AS min_lmphnodes\nFROM \n  breastCancer\nGROUP BY \n  status;","time":0.5483021736}}
+{"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 \n  status, \n  MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM \n  breastCancer\nGROUP BY \n  status;\n```\n\nThis SQL query will return the maximum number of positivelymphnodes for each status in the breastCancer table. The `GROUP BY` clause groups the results by the `status` column, and the `MAX` function calculates the maximum value of `numberpositivelymphnodes` for each group.","cost":0.0000696,"response_parsed":"SELECT \n  status, \n  MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM \n  breastCancer\nGROUP BY \n  status;","time":0.6425533295}}
+{"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":"```sql\nSELECT \n    status,\n    AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    status;\n```\n\nThis SQL query will return the average number of positivelymphnodes for each status in the breastCancer table. The `GROUP BY` clause groups the results by the `status` column, and the `AVG` function calculates the average of the `numberpositivelymphnodes` column for each group.","cost":0.0000698,"response_parsed":"SELECT \n    status,\n    AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM \n    breastCancer\nGROUP BY \n    status;","time":0.8340053558}}
+{"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 \n  status, \n  SUM(numberpositivelymphnodes) AS total_lmphnodes\nFROM \n  breastCancer\nGROUP BY \n  status;\n```\n\nThis SQL query will return the sum of `numberpositivelymphnodes` for each unique `status` in the `breastCancer` table. The result will be a table with two columns: `status` and `total_lmphnodes`.","cost":0.0000674,"response_parsed":"SELECT \n  status, \n  SUM(numberpositivelymphnodes) AS total_lmphnodes\nFROM \n  breastCancer\nGROUP BY \n  status;","time":0.4788408279}}
+{"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":"```sql\nSELECT \n  sex, \n  COUNT(*) as count\nFROM \n  heartAttack\nGROUP BY \n  sex;\n```\n\nThis SQL query will return two columns: `sex` and `count`. The `sex` column will contain the different sex values from the `heartAttack` table, and the `count` column will contain the number of rows for each sex.","cost":0.0000644,"response_parsed":"SELECT \n  sex, \n  COUNT(*) as count\nFROM \n  heartAttack\nGROUP BY \n  sex;","time":0.4309639931}}
+{"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":"```sql\nSELECT \n    chestpaintype, \n    COUNT(*) as count\nFROM \n    heartAttack\nGROUP BY \n    chestpaintype;\n```\n\nThis SQL query will return a list of chestpaintype and the number of rows in the heartAttack table for each chestpaintype. The COUNT(*) function is used to count the number of rows for each group. The GROUP BY clause is used to group the rows by chestpaintype.","cost":0.0000672,"response_parsed":"SELECT \n    chestpaintype, \n    COUNT(*) as count\nFROM \n    heartAttack\nGROUP BY \n    chestpaintype;","time":0.4999406338}}
+{"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":"```sql\nSELECT COUNT(*) \nFROM heartAttack \nWHERE fastingbloodsugar IS NOT NULL;\n```\n\nThis SQL query will return the number of rows in the `heartAttack` table where the `fastingbloodsugar` column is not null. The `IS NOT NULL` condition is used to exclude rows with null values in the `fastingbloodsugar` column.","cost":0.0000648,"response_parsed":"SELECT COUNT(*) \nFROM heartAttack \nWHERE fastingbloodsugar IS NOT NULL;","time":0.4496893883}}
+{"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":"```sql\nSELECT \n    COUNT(*) as count,\n    heartAttack.restelectrocardiographicrresults\nFROM \n    heartAttack\nGROUP BY \n    heartAttack.restelectrocardiographicrresults\nORDER BY \n    count DESC;\n```\n\nThis SQL query will return the count of rows in the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column, ordered by the count in descending order. \n\nHowever, if you want to count the number of rows for each unique value in the `restingelectrocardiographicrresults` column, you can use the following query:\n\n```sql\nSELECT \n    COUNT(*) as count,\n    heartAttack.restelectrocardiographicrresults\nFROM \n    heartAttack\nGROUP BY \n    heartAttack.restelectrocardiographicrresults\nORDER BY \n    count DESC;\n```\n\nThis query will return the count of rows for each unique value in the `restingelectrocardiographicrresults` column. If you want to get the count for a specific value, you can replace the `heartAttack.restelectrocardiographicrresults` in the `SELECT` clause with the specific value you are looking for. \n\nFor example, if you want to get the count for the value 'ST-T wave abnormality', you can use the following query:\n\n```sql\nSELECT \n    COUNT(*) as count,\n    heartAttack.restelectrocardiographicrresults\nFROM \n    heartAttack\nWHERE \n    heartAttack.restelectrocardiographicrresults = 'ST-T wave abnormality'\nGROUP BY \n    heartAttack.restelectrocardiographicrresults;\n```","cost":0.000122,"response_parsed":"SELECT \n    COUNT(*) as count,\n    heartAttack.restelectrocardiographicrresults\nFROM \n    heartAttack\nWHERE \n    heartAttack.restelectrocardiographicrresults = 'ST-T wave abnormality'\nGROUP BY \n    heartAttack.restelectrocardiographicrresults;","time":1.8610548973}}
+{"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":"```sql\nSELECT \n    ha.output, \n    COUNT(*) as count\nFROM \n    heartAttack ha\nGROUP BY \n    ha.output;\n```\n\nThis SQL query will return the count of rows for each output in the `heartAttack` table. The `GROUP BY` clause groups the rows by the `output` column, and the `COUNT(*)` function counts the number of rows in each group.","cost":0.0000654,"response_parsed":"SELECT \n    ha.output, \n    COUNT(*) as count\nFROM \n    heartAttack ha\nGROUP BY \n    ha.output;","time":0.6742930412}}
+{"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":"```sql\nSELECT MIN(T1.age) \nFROM heartAttack AS T1 \nINNER JOIN restingelectrocardiographicrresults AS T2 \nON T1.restingelectrocardiographicrresults = T2.restingelectrocardiographicrresults;\n```\n\nHowever, since the `restingelectrocardiographicrresults` column in the `heartAttack` table seems to be a foreign key referencing the `restingelectrocardiographicrresults` table, it's more likely that you want to join the `heartAttack` table with the `restingelectrocardiographicrresults` table on the `restingelectrocardiographicrresults` column. \n\nIf that's the case, you can use the following SQL query:\n\n```sql\nSELECT MIN(T1.age) \nFROM heartAttack AS T1 \nINNER JOIN restingelectrocardiographicrresults AS T2 \nON T1.restingelectrocardiographicrresults = T2.id;\n```\n\nHowever, since the `id` column is not present in the provided schema, you should replace `id` with the actual primary key of the `restingelectrocardiographicrresults` table. \n\nIf you want to find the minimum age for each unique value in the `restingelectrocardiographicrresults` column, you can use the following SQL query:\n\n```sql\nSELECT T1.restingelectrocardiographicrresults, MIN(T1.age) AS min_age\nFROM heartAttack AS T1 \nGROUP BY T1.restingelectrocardiographicrresults;\n```","cost":0.0001174,"response_parsed":"SELECT T1.restingelectrocardiographicrresults, MIN(T1.age) AS min_age\nFROM heartAttack AS T1 \nGROUP BY T1.restingelectrocardiographicrresults;","time":1.096984148}}
+{"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":"```sql\nSELECT MAX(T1.age) \nFROM heartAttack T1 \nWHERE T1.restingelectrocardiographicrresults = 'restingelectrocardiographicrresults';\n```\n\nThis SQL query will return the maximum age from the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column. However, since the `restingelectrocardiographicrresults` column seems to be a single value repeated for each row, this query will return the maximum age for this single value. \n\nIf you want to get the maximum age for each unique value in the `restingelectrocardiographicrresults` column, you should use a GROUP BY statement:\n\n```sql\nSELECT T1.restingelectrocardiographicrresults, MAX(T1.age) \nFROM heartAttack T1 \nGROUP BY T1.restingelectrocardiographicrresults;\n```","cost":0.000089,"response_parsed":"SELECT T1.restingelectrocardiographicrresults, MAX(T1.age) \nFROM heartAttack T1 \nGROUP BY T1.restingelectrocardiographicrresults;","time":0.8029882908}}
+{"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":"```sql\nSELECT AVG(T1.age) \nFROM heartAttack AS T1 \nINNER JOIN restingelectrocardiographicrresults AS T2 \nON T1.restingelectrocardiographicrresults = T2.restingelectrocardiographicrresults;\n```\n\nThis SQL query will return the average age of patients in the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column. \n\nHowever, if you want to get the average age for each unique value in the `restingelectrocardiographicrresults` column, you should use the `GROUP BY` clause:\n\n```sql\nSELECT T1.restingelectrocardiographicrresults, AVG(T1.age) \nFROM heartAttack AS T1 \nGROUP BY T1.restingelectrocardiographicrresults;\n```\n\nThis query will return the average age for each unique value in the `restingelectrocardiographicrresults` column.","cost":0.0000912,"response_parsed":"SELECT T1.restingelectrocardiographicrresults, AVG(T1.age) \nFROM heartAttack AS T1 \nGROUP BY T1.restingelectrocardiographicrresults;","time":0.762137413}}
+{"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":"```sql\nSELECT \n    SUM(ha.age) \nFROM \n    heartAttack ha \nWHERE \n    ha.restelectrocardiographicrresults IS NOT NULL;\n```\n\nThis SQL query will return the sum of the 'age' column in the 'heartAttack' table where the 'restingelectrocardiographicrresults' column is not null.","cost":0.0000654,"response_parsed":"SELECT \n    SUM(ha.age) \nFROM \n    heartAttack ha \nWHERE \n    ha.restelectrocardiographicrresults IS NOT NULL;","time":0.453653574}}
+{"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":"```sql\nSELECT \n    MIN(T2.numberofmajorvvessels) \nFROM \n    heartAttack AS T1 \nINNER JOIN \n    heartAttack AS T2 ON T1.restingelectrocardiographicrresults = T2.restingelectrocardiographicrresults\nWHERE \n    T1.numberofmajorvvessels IS NOT NULL;\n```\n\nHowever, the above SQL query will return the minimum number of major vessels for each unique `restingelectrocardiographicrresults` value. If you want to get the minimum number of major vessels for all rows in the `heartAttack` table, you can use the following query:\n\n```sql\nSELECT \n    MIN(numberofmajorvvessels) \nFROM \n    heartAttack;\n```\n\nThis query will return the minimum number of major vessels for all rows in the `heartAttack` table.","cost":0.0000872,"response_parsed":"SELECT \n    MIN(numberofmajorvvessels) \nFROM \n    heartAttack;","time":0.6814675331}}
+{"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":"```sql\nSELECT MAX(numberofmajorvvessels) \nFROM heartAttack \nWHERE restingelectrocardiographicrresults = 'restingelectrocardiographicrresults';\n```\n\nHowever, the above SQL query will return the maximum number of major vessels for all rows where the resting electrocardiographic results match the given string. If you want to find the maximum number of major vessels for each unique resting electrocardiographic result, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) as max_vessels \nFROM heartAttack \nGROUP BY restingelectrocardiographicrresults;\n```\n\nThis query will return a list of unique resting electrocardiographic results along with the maximum number of major vessels for each result.","cost":0.000085,"response_parsed":"SELECT restingelectrocardiographicrresults, MAX(numberofmajorvvessels) as max_vessels \nFROM heartAttack \nGROUP BY restingelectrocardiographicrresults;","time":0.7645719051}}
+{"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":"```sql\nSELECT AVG(ha.numberofmajorvvessels) \nFROM heartAttack ha \nJOIN restingelectrocardiographicrresults rer ON ha.restingelectrocardiographicrresults = rer.id;\n```\n\nHowever, the above SQL query assumes that there is a separate table for `restingelectrocardiographicrresults` which is not present in the given database schema. \n\nIf we assume that `restingelectrocardiographicrresults` is a column in the `heartAttack` table, then the SQL query would be:\n\n```sql\nSELECT AVG(numberofmajorvvessels) \nFROM heartAttack;\n```\n\nThis query will return the average of `numberofmajorvvessels` for all rows in the `heartAttack` table.","cost":0.0000834,"response_parsed":"SELECT AVG(numberofmajorvvessels) \nFROM heartAttack;","time":0.7222881317}}
+{"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":"```sql\nSELECT \n    SUM(numberofmajorvvessels) \nFROM \n    heartAttack \nWHERE \n    restingelectrocardiographicrresults = 'restingelectrocardiographicrresults';\n```\n\nHowever, this SQL query will return the sum of `numberofmajorvvessels` for all rows in the `heartAttack` table where `restingelectrocardiographicrresults` is equal to the specified value. \n\nIf you want to get the sum for each unique value of `restingelectrocardiographicrresults`, you can use the following query:\n\n```sql\nSELECT \n    restingelectrocardiographicrresults, \n    SUM(numberofmajorvvessels) \nFROM \n    heartAttack \nGROUP BY \n    restingelectrocardiographicrresults;\n```\n\nThis query will return a list of unique `restingelectrocardiographicrresults` values and the sum of `numberofmajorvvessels` for each value.","cost":0.0000926,"response_parsed":"SELECT \n    restingelectrocardiographicrresults, \n    SUM(numberofmajorvvessels) \nFROM \n    heartAttack \nGROUP BY \n    restingelectrocardiographicrresults;","time":0.9573936462}}
+{"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":"```sql\nSELECT \n  fastingbloodsugar,\n  MIN(T2.age) AS min_age\nFROM \n  heartAttack AS T1\n  LEFT JOIN heartAttack AS T2 ON T1.fastingbloodsugar = T2.fastingbloodsugar\nGROUP BY \n  fastingbloodsugar;\n```\n\nThis SQL query will return the minimum age for each fasting blood sugar value in the `heartAttack` table. \n\nHowever, if you want to get the minimum age for each unique fasting blood sugar value, you can use the following query:\n\n```sql\nSELECT \n  fastingbloodsugar,\n  MIN(age) AS min_age\nFROM \n  heartAttack\nGROUP BY \n  fastingbloodsugar;\n```\n\nThis query will return the minimum age for each unique fasting blood sugar value in the `heartAttack` table.","cost":0.0000836,"response_parsed":"SELECT \n  fastingbloodsugar,\n  MIN(age) AS min_age\nFROM \n  heartAttack\nGROUP BY \n  fastingbloodsugar;","time":0.5413272381}}
+{"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":"```sql\nSELECT fastingbloodsugar, MAX(T2.age) \nFROM heartAttack AS T1 \nJOIN heartAttack AS T2 ON T1.fastingbloodsugar = T2.fastingbloodsugar \nGROUP BY T1.fastingbloodsugar;\n```\n\nHowever, the above SQL query will not give the desired result because it will return the maximum age for each fastingbloodsugar value, but it will not return the fastingbloodsugar value itself. \n\nIf you want to get the fastingbloodsugar value along with the maximum age, you can use the following SQL query:\n\n```sql\nSELECT T1.fastingbloodsugar, MAX(T1.age) \nFROM heartAttack AS T1 \nGROUP BY T1.fastingbloodsugar;\n```\n\nThis SQL query will return the fastingbloodsugar value and the maximum age for each fastingbloodsugar value. \n\nHowever, if you want to get the fastingbloodsugar value and the maximum age for each fastingbloodsugar value, and you also want to get the fastingbloodsugar value that has the maximum age, you can use the following SQL query:\n\n```sql\nSELECT T1.fastingbloodsugar, MAX(T1.age) \nFROM heartAttack AS T1 \nGROUP BY T1.fastingbloodsugar\nORDER BY MAX(T1.age) DESC\nLIMIT 1;\n```\n\nThis SQL query will return the fastingbloodsugar value that has the maximum age.","cost":0.0001096,"response_parsed":"SELECT T1.fastingbloodsugar, MAX(T1.age) \nFROM heartAttack AS T1 \nGROUP BY T1.fastingbloodsugar\nORDER BY MAX(T1.age) DESC\nLIMIT 1;","time":1.287766695}}
+{"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":"```sql\nSELECT AVG(age) \nFROM heartAttack \nWHERE fastingbloodsugar = 'fastingbloodsugar';\n```\n\nHowever, the above SQL query will return the average age for all rows in the `heartAttack` table where the `fastingbloodsugar` is equal to the specific value you are looking for. If you want to get the average age for each unique value of `fastingbloodsugar`, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, AVG(age) as avg_age \nFROM heartAttack \nGROUP BY fastingbloodsugar;\n```\n\nThis query will return a list of unique `fastingbloodsugar` values along with their corresponding average ages.","cost":0.0000788,"response_parsed":"SELECT fastingbloodsugar, AVG(age) as avg_age \nFROM heartAttack \nGROUP BY fastingbloodsugar;","time":0.6717026234}}
+{"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":"```sql\nSELECT \n    ha.age, \n    SUM(ha.age) AS total_age\nFROM \n    heartAttack ha\nJOIN \n    fastingbloodsugar fbs ON ha.fastingbloodsugar = fbs.fastingbloodsugar\nGROUP BY \n    ha.age;\n```\n\nHowever, since the question asks to find the sum of age for each fastingbloodsugar, we need to group the results by fastingbloodsugar. Here's the corrected SQL code:\n\n```sql\nSELECT \n    ha.fastingbloodsugar, \n    SUM(ha.age) AS total_age\nFROM \n    heartAttack ha\nGROUP BY \n    ha.fastingbloodsugar;\n```\n\nThis SQL code will return the sum of age for each unique fastingbloodsugar in the heartAttack table.","cost":0.0000822,"response_parsed":"SELECT \n    ha.fastingbloodsugar, \n    SUM(ha.age) AS total_age\nFROM \n    heartAttack ha\nGROUP BY \n    ha.fastingbloodsugar;","time":0.760086298}}
+{"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":"```sql\nSELECT \n    fastingbloodsugar,\n    MIN(numberofmajorvvessels) AS min_numberofmajorvvessels\nFROM \n    heartAttack\nGROUP BY \n    fastingbloodsugar;\n```\n\nThis SQL query will return the minimum number of major vessels for each fasting blood sugar level in the `heartAttack` table. The `GROUP BY` clause groups the results by the `fastingbloodsugar` column, and the `MIN` function calculates the minimum value of `numberofmajorvvessels` for each group.","cost":0.000073,"response_parsed":"SELECT \n    fastingbloodsugar,\n    MIN(numberofmajorvvessels) AS min_numberofmajorvvessels\nFROM \n    heartAttack\nGROUP BY \n    fastingbloodsugar;","time":0.6521139145}}
+{"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":"```sql\nSELECT \n  fastingbloodsugar,\n  MAX(numberofmajorvvessels) AS max_numberofmajorvvessels\nFROM \n  heartAttack\nGROUP BY \n  fastingbloodsugar;\n```\n\nThis SQL query will return the maximum number of major vessels for each fasting blood sugar level in the `heartAttack` table. The `GROUP BY` clause groups the results by the `fastingbloodsugar` column, and the `MAX` function calculates the maximum value of `numberofmajorvvessels` for each group.","cost":0.000073,"response_parsed":"SELECT \n  fastingbloodsugar,\n  MAX(numberofmajorvvessels) AS max_numberofmajorvvessels\nFROM \n  heartAttack\nGROUP BY \n  fastingbloodsugar;","time":0.6250741482}}
+{"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":"```sql\nSELECT \n    fastingbloodsugar,\n    AVG(numberofmajorvvessels) AS avg_number_of_major_vessels\nFROM \n    heartAttack\nGROUP BY \n    fastingbloodsugar;\n```\n\nThis SQL query will return the average number of major vessels for each fasting blood sugar level in the `heartAttack` table. The `GROUP BY` clause groups the results by the `fastingbloodsugar` column, and the `AVG` function calculates the average of the `numberofmajorvvessels` column for each group.","cost":0.0000734,"response_parsed":"SELECT \n    fastingbloodsugar,\n    AVG(numberofmajorvvessels) AS avg_number_of_major_vessels\nFROM \n    heartAttack\nGROUP BY \n    fastingbloodsugar;","time":0.547264576}}
+{"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":"```sql\nSELECT \n    ha.fastingbloodsugar,\n    SUM(ha.numberofmajorvvessels) AS total_number_of_major_vessels\nFROM \n    heartAttack ha\nGROUP BY \n    ha.fastingbloodsugar;\n```\n\nThis SQL query will return the sum of `numberofmajorvvessels` for each unique value of `fastingbloodsugar` in the `heartAttack` table. The result will be a table with two columns: `fastingbloodsugar` and `total_number_of_major_vessels`.","cost":0.0000734,"response_parsed":"SELECT \n    ha.fastingbloodsugar,\n    SUM(ha.numberofmajorvvessels) AS total_number_of_major_vessels\nFROM \n    heartAttack ha\nGROUP BY \n    ha.fastingbloodsugar;","time":0.6471159458}}
+{"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":"```sql\nSELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(patientidentifier) >= 12;\n```\n\nThis SQL query will return all the unique `menopausalstatus` values from the `breastCancer` table where the count of records for each `menopausalstatus` is 12 or more.","cost":0.000065,"response_parsed":"SELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(patientidentifier) >= 12;","time":0.3920178413}}
+{"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":"```sql\nSELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) <= 12;\n```\n\nThis SQL query will return all the unique `menopausalstatus` values from the `breastCancer` table where the count of records for each `menopausalstatus` is less than or equal to 12.","cost":0.0000652,"response_parsed":"SELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) <= 12;","time":0.4334743023}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING COUNT(patientidentifier) >= 12;\n```\n\nThis SQL query will return all the unique hormonaltherapy values from the `breastCancer` table where the count of patient records is at least 12. The `GROUP BY` clause groups the results by the `hormonaltherapy` column, and the `HAVING` clause filters the results to only include groups with at least 12 records.","cost":0.0000696,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING COUNT(patientidentifier) >= 12;","time":0.6731660366}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING COUNT(patientidentifier) <= 12;\n```\n\nThis SQL query will return all the unique hormonaltherapy values from the `breastCancer` table where the count of patient records for each hormonaltherapy is 12 or less.","cost":0.0000624,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING COUNT(patientidentifier) <= 12;","time":0.4457094669}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nGROUP BY status \nHAVING COUNT(patientidentifier) >= 12;\n```\n\nThis SQL query will return all the unique statuses from the `breastCancer` table where the count of records for each status is at least 12. The `GROUP BY` clause groups the records by the `status` column, and the `HAVING` clause filters the groups to only include those with a count of at least 12.","cost":0.0000688,"response_parsed":"SELECT status \nFROM breastCancer \nGROUP BY status \nHAVING COUNT(patientidentifier) >= 12;","time":0.4858705997}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nGROUP BY status \nHAVING COUNT(status) <= 12;\n```\n\nThis SQL query will return all the unique statuses in the `breastCancer` table that have 12 or fewer records. The `GROUP BY` clause groups the results by the `status` column, and the `HAVING` clause filters the results to only include groups with 12 or fewer records.","cost":0.000067,"response_parsed":"SELECT status \nFROM breastCancer \nGROUP BY status \nHAVING COUNT(status) <= 12;","time":0.6727230549}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize >= 30.14;\n```\n\nThis SQL query will return all the hormonaltherapy values from the breastCancer table where the tumorsize is at least 30.14.","cost":0.0000604,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize >= 30.14;","time":0.4845101833}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize <= 30.14 \nGROUP BY hormonaltherapy \nHAVING AVG(tumorsize) <= 30.14;\n```\n\nHowever, the above SQL query will return hormonaltherapy for each group where the average tumorsize is at most 30.14. If you want to get the hormonaltherapy for the entire table where the average tumorsize is at most 30.14, you can use the following query:\n\n```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize <= 30.14;\n```\n\nThis query will return all hormonaltherapy where the tumorsize is at most 30.14.","cost":0.0000786,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize <= 30.14;","time":0.6745760441}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize >= 389.5;\n```\n\nThis SQL query will return the `hormonaltherapy` values from the `breastCancer` table where the `tumorsize` is at least 389.5.","cost":0.0000626,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize >= 389.5;","time":0.3623187542}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize <= 389.5;\n```\n\nThis SQL query will return all the hormonaltherapy values from the breastCancer table where the tumorsize is at most 389.5.","cost":0.0000606,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nWHERE tumorsize <= 389.5;","time":0.4413089752}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE age >= 53.95;\n```\n\nThis SQL query will return the `hormonaltherapy` values from the `breastCancer` table where the average age is at least 53.95. However, please note that the query will return all `hormonaltherapy` values for patients whose age is 53.95 or more, not the average age of all patients. \n\nIf you want to calculate the average age of all patients and then filter the results, you can use the following query:\n\n```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE age >= (SELECT AVG(age) FROM breastCancer) * 0.95;\n```\n\nThis query will return the `hormonaltherapy` values from the `breastCancer` table where the age is at least 95% of the average age of all patients.","cost":0.0000878,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nWHERE age >= (SELECT AVG(age) FROM breastCancer) * 0.95;","time":0.764788866}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE age <= 53.95 \nGROUP BY hormonaltherapy \nHAVING AVG(age) <= 53.95;\n```\n\nThis SQL query will return the `hormonaltherapy` values from the `breastCancer` table where the average age of patients who received that therapy is at most 53.95. \n\nHowever, if you want to get the average age for each hormonal therapy and then filter the results to include only those with an average age at most 53.95, you can use the following query:\n\n```sql\nSELECT hormonaltherapy, AVG(age) as average_age \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING AVG(age) <= 53.95;\n```\n\nThis query will return the `hormonaltherapy` values and their corresponding average ages, but only for those with an average age at most 53.95.","cost":0.000088,"response_parsed":"SELECT hormonaltherapy, AVG(age) as average_age \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING AVG(age) <= 53.95;","time":1.0292785168}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE age + (SELECT SUM(age) FROM breastCancer) >= 640.5;\n```\n\nHowever, the above SQL query will not give the expected result because it will sum up all the ages in the `breastCancer` table and then check if the sum of the current row's age plus this sum is greater than or equal to 640.5. This is not what we want.\n\nInstead, we want to sum up the ages of all rows where the hormonal therapy is the same as the current row, and then check if this sum is greater than or equal to 640.5. Here's the correct SQL query:\n\n```sql\nSELECT hormonaltherapy \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING SUM(age) >= 640.5;\n```\n\nThis query will group the rows by hormonal therapy and then sum up the ages for each group. It will only include groups where the sum of the ages is greater than or equal to 640.5 in the result.","cost":0.0000936,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nGROUP BY hormonaltherapy \nHAVING SUM(age) >= 640.5;","time":1.2392983437}}
+{"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":"```sql\nSELECT hormonaltherapy \nFROM breastCancer \nWHERE age <= 640.5;\n```\n\nThis SQL query will return all the hormonaltherapy values from the breastCancer table where the age is less than or equal to 640.5.","cost":0.0000606,"response_parsed":"SELECT hormonaltherapy \nFROM breastCancer \nWHERE age <= 640.5;","time":0.3867058754}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nWHERE tumorsize \/ (SELECT COUNT(tumorsize) FROM breastCancer) * 100 >= 34.41;\n```\n\nHowever, the above SQL query will not give the correct result because it is trying to divide the tumorsize by the count of tumorsize. \n\nTo get the average tumorsize, you should use the AVG function. Here's the correct SQL query:\n\n```sql\nSELECT status \nFROM breastCancer \nWHERE tumorsize >= (SELECT AVG(tumorsize) * 0.3411 FROM breastCancer);\n```\n\nHowever, the above SQL query will not give the correct result because it is trying to multiply the average tumorsize by 0.3411. \n\nTo get the average tumorsize which is at least 34.41, you should use the AVG function and a subquery. Here's the correct SQL query:\n\n```sql\nSELECT status \nFROM breastCancer \nWHERE tumorsize >= (SELECT AVG(tumorsize) FROM breastCancer);\n```\n\nThis query will return all the status where the tumorsize is greater than or equal to the average tumorsize in the breastCancer table.","cost":0.0000992,"response_parsed":"SELECT status \nFROM breastCancer \nWHERE tumorsize >= (SELECT AVG(tumorsize) FROM breastCancer);","time":0.9077715874}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nWHERE tumorsize \/ (SELECT COUNT(*) FROM breastCancer) * 100 <= 34.41;\n```\n\nHowever, the above SQL query will not give the correct result because it is dividing the tumorsize by the total count of rows in the table. \n\nTo get the average tumorsize, you should use the AVG function. Here's the correct SQL query:\n\n```sql\nSELECT status \nFROM breastCancer \nWHERE tumorsize <= (SELECT AVG(tumorsize) FROM breastCancer) * 1.01;\n```\n\nIn this query, we are selecting the status from the breastCancer table where the tumorsize is less than or equal to 1.01 times the average tumorsize. This is because the average tumorsize might not be exactly 34.41 due to floating point precision issues.","cost":0.0000858,"response_parsed":"SELECT status \nFROM breastCancer \nWHERE tumorsize <= (SELECT AVG(tumorsize) FROM breastCancer) * 1.01;","time":0.8927013874}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nWHERE tumorsize >= 389.5;\n```\n\nThis SQL query will return all the statuses from the `breastCancer` table where the `tumorsize` is at least 389.5.","cost":0.0000612,"response_parsed":"SELECT status \nFROM breastCancer \nWHERE tumorsize >= 389.5;","time":0.4621157646}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nWHERE tumorsize <= 389.5;\n```\n\nThis SQL query will return all the statuses from the `breastCancer` table where the `tumorsize` is less than or equal to 389.5.","cost":0.0000618,"response_parsed":"SELECT status \nFROM breastCancer \nWHERE tumorsize <= 389.5;","time":0.4120941162}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nGROUP BY status \nHAVING AVG(age) >= 53.44;\n```\n\nThis SQL query will return the status from the `breastCancer` table where the average age is at least 53.44. The `GROUP BY` clause groups the rows by the `status` column, and the `HAVING` clause filters the groups to only include those where the average age is at least 53.44.","cost":0.0000694,"response_parsed":"SELECT status \nFROM breastCancer \nGROUP BY status \nHAVING AVG(age) >= 53.44;","time":0.4748089314}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nWHERE age \/ COUNT(*) * 100 <= 53.44;\n```\n\nHowever, the above SQL query will not give the correct result because the average age is calculated by dividing the sum of all ages by the number of patients. \n\nTo get the correct result, we need to calculate the average age first and then filter the status. Here's the correct SQL query:\n\n```sql\nSELECT status \nFROM breastCancer \nWHERE age <= (SELECT AVG(age) FROM breastCancer) * 1.02;\n```\n\nIn this query, we are selecting the status from the breastCancer table where the age is less than or equal to 1.02 times the average age. This will give us the status where the average age is at most 53.44. \n\nHowever, if you want to get the exact average age of 53.44, you can use the following query:\n\n```sql\nSELECT status \nFROM breastCancer \nWHERE age <= 53.44 * COUNT(*) \/ (SELECT COUNT(*) FROM breastCancer);\n```\n\nBut this query will also not give the correct result because the average age is calculated by dividing the sum of all ages by the number of patients. \n\nTo get the correct result, we need to calculate the average age first and then filter the status. Here's the correct SQL query:\n\n```sql\nSELECT status \nFROM breastCancer \nWHERE age <= (SELECT AVG(age) FROM breastCancer);\n```\n\nThis query will give us the status where the average age is at most 53.44.","cost":0.0001156,"response_parsed":"SELECT status \nFROM breastCancer \nWHERE age <= (SELECT AVG(age) FROM breastCancer);","time":1.1528573036}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nGROUP BY status \nHAVING SUM(age) >= 640.5;\n```\n\nThis SQL query will return the status from the `breastCancer` table where the sum of the ages for each status is at least 640.5. \n\nHere's how it works:\n\n- `SELECT status`: This selects the `status` column from the `breastCancer` table.\n- `FROM breastCancer`: This specifies the table to query.\n- `GROUP BY status`: This groups the results by the `status` column. This is necessary because we're using an aggregate function (`SUM`) in the `HAVING` clause.\n- `HAVING SUM(age) >= 640.5`: This filters the results to only include groups where the sum of the ages is at least 640.5.","cost":0.0000854,"response_parsed":"SELECT status \nFROM breastCancer \nGROUP BY status \nHAVING SUM(age) >= 640.5;","time":0.6278831959}}
+{"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":"```sql\nSELECT status \nFROM breastCancer \nWHERE age <= 640.5;\n```\n\nThis SQL query will return all the statuses from the `breastCancer` table where the age is less than or equal to 640.5.","cost":0.0000604,"response_parsed":"SELECT status \nFROM breastCancer \nWHERE age <= 640.5;","time":0.3660757542}}
+{"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":"```sql\nSELECT output \nFROM heartAttack \nWHERE (SELECT COUNT(*) \n       FROM heartAttack \n       WHERE heartAttack.output = heartAttack.output) >= 10;\n```\n\nHowever, the above SQL query is not efficient as it is using a correlated subquery. A more efficient way to write this query would be to use a `GROUP BY` clause with a `HAVING` clause:\n\n```sql\nSELECT output \nFROM heartAttack \nGROUP BY output \nHAVING COUNT(*) >= 10;\n```\n\nThis query will return all the unique `output` values that have at least 10 records in the `heartAttack` table.","cost":0.0000752,"response_parsed":"SELECT output \nFROM heartAttack \nGROUP BY output \nHAVING COUNT(*) >= 10;","time":0.6502802372}}
+{"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":"```sql\nSELECT output \nFROM heartAttack \nWHERE output IN (\n  SELECT output \n  FROM heartAttack \n  GROUP BY output \n  HAVING COUNT(output) <= 10\n);\n```\n\nThis SQL query will return all the unique `output` values from the `heartAttack` table that have 10 or fewer records. \n\nHowever, if you want to return all the records with at most 10 records in the `heartAttack` table, you can use the following query:\n\n```sql\nSELECT *\nFROM heartAttack \nWHERE (SELECT COUNT(*) \n       FROM heartAttack \n       WHERE heartAttack.output = heartAttack1.output) <= 10;\n```\n\nThis query will return all the records from the `heartAttack` table where the count of records with the same `output` value is 10 or fewer. \n\nNote: The first query will return unique `output` values, while the second query will return all the records with at most 10 records in the `heartAttack` table.","cost":0.0000902,"response_parsed":"SELECT *\nFROM heartAttack \nWHERE (SELECT COUNT(*) \n       FROM heartAttack \n       WHERE heartAttack.output = heartAttack1.output) <= 10;","time":0.8092243671}}
+{"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":"```sql\nSELECT chestpaintype \nFROM heartAttack \nGROUP BY chestpaintype \nHAVING COUNT(*) >= 5;\n```\n\nThis SQL query will return all the unique `chestpaintype` values from the `heartAttack` table where the count of records for each `chestpaintype` is 5 or more. The `GROUP BY` clause groups the records by `chestpaintype`, and the `HAVING` clause filters the groups to only include those with a count of 5 or more.","cost":0.0000704,"response_parsed":"SELECT chestpaintype \nFROM heartAttack \nGROUP BY chestpaintype \nHAVING COUNT(*) >= 5;","time":0.4910013676}}
+{"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":"```sql\nSELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) <= 5;\n```\n\nThis SQL query will return all the unique `chestpaintype` values from the `heartAttack` table where the count of records for each `chestpaintype` is less than or equal to 5. The `GROUP BY` clause groups the records by `chestpaintype`, and the `HAVING` clause filters the groups based on the count of records.","cost":0.0000698,"response_parsed":"SELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) <= 5;","time":0.5703933239}}
+{"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":"```sql\nSELECT restingelectrocardiographicrresults \nFROM heartAttack \nGROUP BY restingelectrocardiographicrresults \nHAVING COUNT(*) >= 6;\n```\n\nThis SQL query will return all the unique `restingelectrocardiographicrresults` that have at least 6 records in the `heartAttack` table. \n\nHere's how it works:\n\n- `GROUP BY restingelectrocardiographicrresults` groups the results by the `restingelectrocardiographicrresults` column.\n- `HAVING COUNT(*) >= 6` filters the results to only include groups with at least 6 records. The `COUNT(*)` function counts the number of rows in each group.","cost":0.0000804,"response_parsed":"SELECT restingelectrocardiographicrresults \nFROM heartAttack \nGROUP BY restingelectrocardiographicrresults \nHAVING COUNT(*) >= 6;","time":0.859821558}}
+{"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":"```sql\nSELECT restingelectrocardiographicrresults \nFROM heartAttack \nWHERE id IN (\n  SELECT id \n  FROM heartAttack \n  GROUP BY id \n  HAVING COUNT(id) <= 6\n);\n```\n\nHowever, the above SQL query will not work as expected because the `id` column does not exist in the `heartAttack` table. It seems like you want to group the rows by the `restingelectrocardiographicrresults` column and then filter the groups that have at most 6 records.\n\nHere's the correct SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults \nFROM heartAttack \nGROUP BY restingelectrocardiographicrresults \nHAVING COUNT(*) <= 6;\n```\n\nThis query will return all unique `restingelectrocardiographicrresults` that have at most 6 records in the `heartAttack` table.","cost":0.0000884,"response_parsed":"SELECT restingelectrocardiographicrresults \nFROM heartAttack \nGROUP BY restingelectrocardiographicrresults \nHAVING COUNT(*) <= 6;","time":0.7336683273}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure >= 145.75 \nGROUP BY fastingbloodsugar \nHAVING AVG(restingbloodpressure) >= 145.75;\n```\n\nHowever, the above SQL query will return all the unique fastingbloodsugar values where the average restingbloodpressure is at least 145.75. \n\nIf you want to get the average restingbloodpressure for each fastingbloodsugar value, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, AVG(restingbloodpressure) as average_restingbloodpressure \nFROM heartAttack \nWHERE restingbloodpressure >= 145.75 \nGROUP BY fastingbloodsugar;\n```\n\nThis query will return the fastingbloodsugar values and their corresponding average restingbloodpressure values where the average restingbloodpressure is at least 145.75.","cost":0.0000866,"response_parsed":"SELECT fastingbloodsugar, AVG(restingbloodpressure) as average_restingbloodpressure \nFROM heartAttack \nWHERE restingbloodpressure >= 145.75 \nGROUP BY fastingbloodsugar;","time":0.6147637367}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure <= 145.75 \nGROUP BY fastingbloodsugar;\n```\n\nHowever, the above SQL query will return all unique fastingbloodsugar values where the average restingbloodpressure is at most 145.75. \n\nIf you want to get the average restingbloodpressure for each fastingbloodsugar, you should use the AVG function and group by fastingbloodsugar:\n\n```sql\nSELECT fastingbloodsugar, AVG(restingbloodpressure) as avg_restingbloodpressure \nFROM heartAttack \nWHERE restingbloodpressure <= 145.75 \nGROUP BY fastingbloodsugar;\n```\n\nThis query will return the fastingbloodsugar and the average restingbloodpressure for each fastingbloodsugar where the average restingbloodpressure is at most 145.75.","cost":0.0000852,"response_parsed":"SELECT fastingbloodsugar, AVG(restingbloodpressure) as avg_restingbloodpressure \nFROM heartAttack \nWHERE restingbloodpressure <= 145.75 \nGROUP BY fastingbloodsugar;","time":0.7195122242}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure + (SELECT SUM(restingbloodpressure) FROM heartAttack) >= 1343.5;\n```\n\nHowever, the above SQL query will not work as expected because the subquery will return the total sum of restingbloodpressure for all rows in the table, and then the query will try to find rows where the sum of restingbloodpressure for each row plus this total is greater than or equal to 1343.5. This is not what we want.\n\nInstead, we want to find the rows where the sum of restingbloodpressure for each row is greater than or equal to 1343.5. We can do this by using a subquery to calculate the sum of restingbloodpressure for each row, and then selecting the fastingbloodsugar from the rows where this sum is greater than or equal to 1343.5.\n\nHere is the correct SQL query:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure + (SELECT SUM(restingbloodpressure) - restingbloodpressure FROM heartAttack) >= 1343.5;\n```\n\nHowever, this query is still not correct because it will return the same result as the previous query.\n\nTo get the correct result, we need to use a window function to calculate the sum of restingbloodpressure for each row, and then select the fastingbloodsugar from the rows where this sum is greater than or equal to 1343.5.\n\nHere is the correct SQL query:\n\n```sql\nSELECT fastingbloodsugar \nFROM (\n  SELECT fastingbloodsugar, \n         SUM(restingbloodpressure) OVER () AS total_restingbloodpressure,\n         SUM(restingbloodpressure) OVER (PARTITION BY fastingbloodsugar) AS row_restingbloodpressure\n  FROM heartAttack\n) AS subquery\nWHERE row_restingbloodpressure >= 1343.5;\n```\n\nThis query will first calculate the sum of restingbloodpressure for each row and for all rows, and then select the fastingbloodsugar from the rows where the sum of restingbloodpressure for each row is greater than or equal to 1343.5.","cost":0.0001414,"response_parsed":"SELECT fastingbloodsugar \nFROM (\n  SELECT fastingbloodsugar, \n         SUM(restingbloodpressure) OVER () AS total_restingbloodpressure,\n         SUM(restingbloodpressure) OVER (PARTITION BY fastingbloodsugar) AS row_restingbloodpressure\n  FROM heartAttack\n) AS subquery\nWHERE row_restingbloodpressure >= 1343.5;","time":1.7572376728}}
+{"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 restingbloodpressure + (SELECT SUM(restingbloodpressure) FROM heartAttack) <= 1343.5;\n```\n\nHowever, the above SQL query will not give the correct result because the subquery is summing up all the restingbloodpressure values in the table, not just the ones that match the condition. \n\nA more accurate query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure <= (SELECT SUM(restingbloodpressure) FROM heartAttack) - 1343.5;\n```\n\nBut this query will still not give the correct result because it's not considering the condition that the sum of restingbloodpressure should be at most 1343.5.\n\nA more accurate query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure <= 1343.5 - (SELECT SUM(restingbloodpressure) FROM heartAttack WHERE restingbloodpressure > 1343.5);\n```\n\nThis query will give the correct result because it's considering the condition that the sum of restingbloodpressure should be at most 1343.5.","cost":0.0000998,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure <= 1343.5 - (SELECT SUM(restingbloodpressure) FROM heartAttack WHERE restingbloodpressure > 1343.5);","time":0.7074968815}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age \/ 2.0 >= 59.17;\n```\n\nThis SQL query will return the `fastingbloodsugar` values from the `heartAttack` table where the average of the `age` is at least 59.17. The `\/ 2.0` is used to ensure that the division is done as a floating point operation, not an integer division.","cost":0.0000686,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE age \/ 2.0 >= 59.17;","time":0.5148341656}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age <= 59.17;\n```\n\nThis SQL query will return the `fastingbloodsugar` values from the `heartAttack` table where the `age` is less than or equal to 59.17.","cost":0.0000622,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE age <= 59.17;","time":0.3987159729}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) FROM heartAttack) >= 561.0;\n```\n\nHowever, the above SQL query will not work as expected because the subquery will return the total sum of ages in the `heartAttack` table, and then the query will try to add the age of each row to this total sum. This will result in a very large number, and the query will likely return all rows in the table.\n\nIf you want to get the rows where the sum of ages is at least 561.0, you should use a self-join or a subquery with a GROUP BY clause. However, based on the given question, it seems like you want to get the rows where the age of each row is at least 561.0 when added to the sum of ages of all other rows. \n\nHere's a more accurate SQL query:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - age FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the age of each row from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0. \n\nHowever, this query will still not work as expected because the subquery will return a different value for each row in the table, and the query will try to compare this value to the sum of ages of all other rows.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - age FROM heartAttack WHERE age != heartAttack.age) >= 561.0;\n```\n\nThis query will subtract the age of each row from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack WHERE age != heartAttack.age) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever, this query is still not accurate because it will return the sum of ages of all other rows for each row in the table, and then it will try to compare this sum to 561.0.\n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;\n```\n\nThis query will subtract the sum of ages of all rows from the total sum of ages, and then add the age of each row to this result. This will give you the sum of ages of all other rows, and then you can check if this sum is at least 561.0.\n\nHowever,","cost":0.0004598,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) - SUM(age) FROM heartAttack) >= 561.0;","time":4.0869271755}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age + (SELECT SUM(age) FROM heartAttack) <= 561.0;\n```\n\nHowever, the above SQL query will not give the desired result because it is trying to sum the age of all rows in the table and then compare it with the age of the current row. \n\nA more accurate SQL query would be:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age <= (SELECT 561.0 - SUM(age) FROM heartAttack);\n```\n\nThis query will sum the age of all rows in the table and then subtract that sum from 561.0 to get the maximum age that can be added to the sum of ages of all rows in the table. It then selects the rows from the table where the age is less than or equal to this maximum age.","cost":0.0000856,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE age <= (SELECT 561.0 - SUM(age) FROM heartAttack);","time":0.6488983631}}
+{"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":"```sql\nSELECT sex\nFROM heartAttack\nWHERE restingbloodpressure >= 131.31\nGROUP BY sex\nHAVING AVG(restingbloodpressure) >= 131.31;\n```\n\nThis SQL query will return the sex(es) where the average resting blood pressure is at least 131.31. \n\nHere's how it works:\n\n- `SELECT sex`: Selects the 'sex' column from the 'heartAttack' table.\n- `FROM heartAttack`: Specifies the table to query.\n- `WHERE restingbloodpressure >= 131.31`: Filters the results to only include rows where the resting blood pressure is at least 131.31.\n- `GROUP BY sex`: Groups the results by the 'sex' column.\n- `HAVING AVG(restingbloodpressure) >= 131.31`: Filters the grouped results to only include groups where the average resting blood pressure is at least 131.31.","cost":0.0000876,"response_parsed":"SELECT sex\nFROM heartAttack\nWHERE restingbloodpressure >= 131.31\nGROUP BY sex\nHAVING AVG(restingbloodpressure) >= 131.31;","time":0.8597061634}}
+{"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\nWHERE restingbloodpressure <= 131.31\nGROUP BY sex\nHAVING AVG(restingbloodpressure) <= 131.31;\n```\n\nThis SQL query will return the sex(es) where the average resting blood pressure is at most 131.31. \n\nHere's how it works:\n\n- `SELECT sex FROM heartAttack`: This selects the 'sex' column from the 'heartAttack' table.\n- `WHERE restingbloodpressure <= 131.31`: This filters the results to only include rows where the 'restingbloodpressure' is less than or equal to 131.31.\n- `GROUP BY sex`: This groups the results by the 'sex' column.\n- `HAVING AVG(restingbloodpressure) <= 131.31`: This filters the grouped results to only include groups where the average 'restingbloodpressure' is less than or equal to 131.31.","cost":0.0000888,"response_parsed":"SELECT sex\nFROM heartAttack\nWHERE restingbloodpressure <= 131.31\nGROUP BY sex\nHAVING AVG(restingbloodpressure) <= 131.31;","time":0.7051517963}}
+{"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":"```sql\nSELECT sex \nFROM heartAttack \nGROUP BY sex \nHAVING SUM(restingbloodpressure) >= 1343.5;\n```\n\nThis SQL query will return the sex of patients whose total resting blood pressure is at least 1343.5. The `GROUP BY` clause groups the results by sex, and the `HAVING` clause filters the results to only include groups where the sum of resting blood pressure is at least 1343.5.","cost":0.0000696,"response_parsed":"SELECT sex \nFROM heartAttack \nGROUP BY sex \nHAVING SUM(restingbloodpressure) >= 1343.5;","time":0.5121040344}}
+{"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":"```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) <= 1343.5;\n```\n\nThis SQL query will return the sex(es) where the sum of resting blood pressure is at most 1343.5 in the `heartAttack` table. The `GROUP BY` clause groups the rows by sex, and the `HAVING` clause filters the groups to only include those where the sum of resting blood pressure is at most 1343.5.","cost":0.0000714,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) <= 1343.5;","time":0.5158247948}}
+{"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":"```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) >= 58.78;\n```\n\nThis SQL query will return the sex of individuals in the `heartAttack` table where the average age is at least 58.78. The `GROUP BY` clause groups the rows by the `sex` column, and the `HAVING` clause filters the groups to only include those where the average age is at least 58.78.","cost":0.000069,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) >= 58.78;","time":0.6657927036}}
+{"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":"```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) <= 58.78;\n```\n\nThis SQL query will return the sex(es) where the average age is at most 58.78 in the `heartAttack` table. The `GROUP BY` clause groups the rows by the `sex` column, and the `HAVING` clause filters the groups to only include those where the average age is less than or equal to 58.78.","cost":0.0000696,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) <= 58.78;","time":0.4270637035}}
+{"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":"```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) >= 561.0;\n```\n\nThis SQL query will return the sex of individuals in the `heartAttack` table where the sum of their ages is at least 561.0. The `GROUP BY` clause groups the rows by the `sex` column, and the `HAVING` clause filters the groups to only include those where the sum of `age` is at least 561.0.","cost":0.0000702,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) >= 561.0;","time":0.5881409645}}
+{"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":"```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) <= 561.0;\n```\n\nThis SQL query works as follows:\n\n- `SELECT sex`: This line selects the `sex` column from the `heartAttack` table.\n- `FROM heartAttack`: This line specifies the table from which to select the data.\n- `GROUP BY sex`: This line groups the data by the `sex` column. This is necessary because the `HAVING` clause is used to filter the groups.\n- `HAVING SUM(age) <= 561.0`: This line filters the groups to only include those where the sum of the `age` column is less than or equal to 561.0.","cost":0.0000798,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) <= 561.0;","time":0.5700538158}}
+{"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":"```sql\nSELECT menopausalstatus\nFROM breastCancer\nWHERE hormonaltherapy = 'yes';\n```\n\nThis SQL query will return the menopausal status of patients who have undergone hormonal therapy. The `WHERE` clause filters the results to only include rows where the `hormonaltherapy` column is 'yes'.","cost":0.0000626,"response_parsed":"SELECT menopausalstatus\nFROM breastCancer\nWHERE hormonaltherapy = 'yes';","time":0.5556733608}}
+{"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":"```sql\nSELECT DISTINCT menopausalstatus \nFROM breastCancer;\n```\n\nThis SQL query will return all the unique menopausalstatus values from the `breastCancer` table. The `DISTINCT` keyword is used to retrieve only unique values.","cost":0.00006,"response_parsed":"SELECT DISTINCT menopausalstatus \nFROM breastCancer;","time":0.4222910404}}
+{"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":"```sql\nSELECT hormonaltherapy, status \nFROM breastCancer;\n```\n\nThis SQL query will fetch all the rows from the `breastCancer` table and return the `hormonaltherapy` and `status` columns.","cost":0.0000584,"response_parsed":"SELECT hormonaltherapy, status \nFROM breastCancer;","time":0.8111269474}}
+{"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":"```sql\nSELECT DISTINCT sex \nFROM heartAttack \nWHERE chestpaintype IS NOT NULL;\n```\n\nThis SQL query will return all the unique values of the `sex` column from the `heartAttack` table where the `chestpaintype` is not null. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000624,"response_parsed":"SELECT DISTINCT sex \nFROM heartAttack \nWHERE chestpaintype IS NOT NULL;","time":0.6000585556}}
+{"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":"```sql\nSELECT DISTINCT sex \nFROM heartAttack \nWHERE fastingbloodsugar = 'all';\n```\n\nThis SQL query will return the distinct values of the `sex` column from the `heartAttack` table where the `fastingbloodsugar` is 'all'. \n\nHowever, if you want to fetch all the sex with all the fastingbloodsugar, you should remove the 'all' condition from the query. \n\n```sql\nSELECT DISTINCT sex \nFROM heartAttack;\n```","cost":0.000069,"response_parsed":"SELECT DISTINCT sex \nFROM heartAttack;","time":0.6967382431}}
+{"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":"```sql\nSELECT DISTINCT sex \nFROM heartAttack \nWHERE restingelectrocardiographicrresults IS NOT NULL;\n```\n\nThis SQL query will return the distinct values of the `sex` column from the `heartAttack` table where the `restingelectrocardiographicrresults` column is not null.","cost":0.000063,"response_parsed":"SELECT DISTINCT sex \nFROM heartAttack \nWHERE restingelectrocardiographicrresults IS NOT NULL;","time":0.3646969795}}
+{"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":"```sql\nSELECT DISTINCT sex\nFROM heartAttack;\n```\n\nThis SQL query will return a list of unique sex values from the `heartAttack` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000574,"response_parsed":"SELECT DISTINCT sex\nFROM heartAttack;","time":0.3723819256}}
+{"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":"```sql\nSELECT chestpaintype \nFROM heartAttack \nWHERE fastingbloodsugar IS NOT NULL;\n```\n\nThis SQL query will return all the unique chestpaintype values from the `heartAttack` table where the `fastingbloodsugar` column is not null. If you want to get all the rows with the corresponding chestpaintype, you can remove the `SELECT DISTINCT` part and use `SELECT *` instead. \n\nHowever, if you want to get all the chestpaintype values with all the fastingbloodsugar values, you can use the following query:\n\n```sql\nSELECT chestpaintype, fastingbloodsugar \nFROM heartAttack \nWHERE fastingbloodsugar IS NOT NULL;\n```\n\nThis query will return all the rows from the `heartAttack` table where the `fastingbloodsugar` column is not null, along with the corresponding `chestpaintype` values.","cost":0.0000864,"response_parsed":"SELECT chestpaintype, fastingbloodsugar \nFROM heartAttack \nWHERE fastingbloodsugar IS NOT NULL;","time":0.9362869263}}
+{"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":"```sql\nSELECT chestpaintype\nFROM heartAttack;\n```\n\nThis SQL query will return all the unique chestpaintype values from the \"heartAttack\" table. If you want to return all the rows with their corresponding chestpaintype, you can use the following query:\n\n```sql\nSELECT *\nFROM heartAttack;\n```\n\nHowever, if you want to return all the chestpaintype values along with the corresponding output in the \"heartAttack\" table, you can use the following query:\n\n```sql\nSELECT chestpaintype, output\nFROM heartAttack;\n```","cost":0.0000718,"response_parsed":"SELECT chestpaintype, output\nFROM heartAttack;","time":0.6463878155}}
+{"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":"```sql\nSELECT fastingbloodsugar, restingelectrocardiographicrresults \nFROM heartAttack;\n```\n\nThis SQL query will return all the rows from the `heartAttack` table, including the `fastingbloodsugar` and `restingelectrocardiographicrresults` columns.","cost":0.0000634,"response_parsed":"SELECT fastingbloodsugar, restingelectrocardiographicrresults \nFROM heartAttack;","time":0.4119186401}}
+{"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":"```sql\nSELECT fastingbloodsugar\nFROM heartAttack;\n```\n\nThis SQL query will fetch all the values in the `fastingbloodsugar` column from the `heartAttack` table.","cost":0.0000572,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack;","time":0.4386198521}}
+{"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":"```sql\nSELECT \n  restingelectrocardiographicrresults AS \"restingelectrocardiographicrresults\"\nFROM \n  heartAttack;\n```\n\nThis SQL query will fetch all the rows from the `heartAttack` table and return the `restingelectrocardiographicrresults` column. The `AS` keyword is used to give an alias to the column, which in this case is the same as the column name.","cost":0.0000684,"response_parsed":"SELECT \n  restingelectrocardiographicrresults AS \"restingelectrocardiographicrresults\"\nFROM \n  heartAttack;","time":0.5584824085}}
+{"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":"```sql\nSELECT *\nFROM breastCancer\nORDER BY hormonaltherapy ASC;\n```\n\nThis SQL query will fetch all data from the `breastCancer` table and order it in ascending order based on the `hormonaltherapy` column.","cost":0.0000594,"response_parsed":"SELECT *\nFROM breastCancer\nORDER BY hormonaltherapy ASC;","time":0.4697980881}}
+{"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 *\nFROM breastCancer\nORDER BY hormonaltherapy DESC;\n```\n\nThis SQL query will fetch all data from the `breastCancer` table and order it in descending order based on the `hormonaltherapy` column.","cost":0.0000594,"response_parsed":"SELECT *\nFROM breastCancer\nORDER BY hormonaltherapy DESC;","time":0.3744208813}}
+{"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 *\nFROM breastCancer\nORDER BY status ASC;\n```\n\nThis SQL query will fetch all data from the `breastCancer` table and order the results by the `status` column in ascending order.","cost":0.0000584,"response_parsed":"SELECT *\nFROM breastCancer\nORDER BY status ASC;","time":0.4250679016}}
+{"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```\n\nThis SQL query will fetch all data from the `breastCancer` table and order it by the `status` column in descending order. The `DESC` keyword is used to specify the descending order.","cost":0.0000608,"response_parsed":"SELECT *\nFROM breastCancer\nORDER BY status DESC;","time":0.4010620117}}
+{"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":"```sql\nSELECT tumorgrade \nFROM breastCancer \nORDER BY tumorgrade ASC;\n```\n\nThis SQL query will fetch the `tumorgrade` column from the `breastCancer` table, ordered in ascending order.","cost":0.0000582,"response_parsed":"SELECT tumorgrade \nFROM breastCancer \nORDER BY tumorgrade ASC;","time":0.5060660839}}
+{"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":"```sql\nSELECT tumorgrade\nFROM breastCancer\nORDER BY tumorgrade DESC;\n```\n\nThis SQL query will fetch the `tumorgrade` column from the `breastCancer` table, ordered in descending order. The `DESC` keyword is used to specify the descending order.","cost":0.0000608,"response_parsed":"SELECT tumorgrade\nFROM breastCancer\nORDER BY tumorgrade DESC;","time":0.5364055634}}
+{"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":"```sql\nSELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier ASC;\n```\n\nThis SQL query will fetch the `patientidentifier` column from the `breastCancer` table, ordered in ascending order.","cost":0.000058,"response_parsed":"SELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier ASC;","time":0.3495054245}}
+{"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":"```sql\nSELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier DESC;\n```\n\nThis SQL query will return the `patientidentifier` column from the `breastCancer` table, ordered in descending order.","cost":0.000058,"response_parsed":"SELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier DESC;","time":0.4825387001}}
+{"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 *\nFROM heartAttack\nORDER BY numberofmajorvvessels ASC;\n```\n\nThis SQL query will fetch all data from the `heartAttack` table and order it in ascending order based on the `numberofmajorvvessels` column.","cost":0.0000606,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY numberofmajorvvessels ASC;","time":0.6473414898}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nORDER BY numberofmajorvvessels DESC;\n```\n\nThis SQL code will fetch all data from the `heartAttack` table and order it in descending order based on the `numberofmajorvvessels` column.","cost":0.0000606,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY numberofmajorvvessels DESC;","time":0.568156004}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nORDER BY restingbloodpressure ASC;\n```\n\nThis SQL query will fetch all data from the `heartAttack` table and order it in ascending order based on the `restingbloodpressure` column.","cost":0.000059,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY restingbloodpressure ASC;","time":0.3720488548}}
+{"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 *\nFROM heartAttack\nORDER BY restingbloodpressure DESC;\n```\n\nThis SQL code will fetch all data from the `heartAttack` table and order it in descending order based on the `restingbloodpressure` column.","cost":0.000059,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY restingbloodpressure DESC;","time":0.403860569}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nORDER BY restingelectrocardiographicrresults ASC;\n```\n\nThis SQL query will fetch all columns (`*`) from the `heartAttack` table, and order the results in ascending order based on the `restingelectrocardiographicrresults` column.","cost":0.0000628,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY restingelectrocardiographicrresults ASC;","time":0.460804224}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nORDER BY restingelectrocardiographicrresults DESC;\n```\n\nThis SQL query will project all columns (`*`) from the `heartAttack` table, order the results in descending order based on the `restingelectrocardiographicrresults` column, and return the ordered results.","cost":0.0000638,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY restingelectrocardiographicrresults DESC;","time":0.4022448063}}
+{"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 \nFROM heartAttack \nORDER BY sex ASC;\n```\n\nThis SQL query will return the 'sex' column from the 'heartAttack' table, ordered in ascending order.","cost":0.0000564,"response_parsed":"SELECT sex \nFROM heartAttack \nORDER BY sex ASC;","time":0.3837151527}}
+{"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```\n\nThis SQL query will return the 'sex' column from the 'heartAttack' table, ordered in descending order. If there are multiple rows with the same 'sex' value, the order of these rows will be determined by the order in which they appear in the table. \n\nIf you want to remove duplicate 'sex' values and only return each unique 'sex' once, you can use the `DISTINCT` keyword:\n\n```sql\nSELECT DISTINCT sex \nFROM heartAttack \nORDER BY sex DESC;\n```","cost":0.0000724,"response_parsed":"SELECT DISTINCT sex \nFROM heartAttack \nORDER BY sex DESC;","time":0.7531938553}}
+{"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":"```sql\nSELECT age \nFROM breastCancer;\n```\n\nThis SQL query will return all the ages from the `breastCancer` table.","cost":0.000054,"response_parsed":"SELECT age \nFROM breastCancer;","time":0.4408512115}}
+{"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":"```sql\nSELECT *\nFROM breastCancer\nWHERE progesteronereceptor IS NOT NULL;\n```\n\nThis SQL query will return all rows from the `breastCancer` table where the `progesteronereceptor` column is not null. If you want to see only the `progesteronereceptor` column, you can modify the query to:\n\n```sql\nSELECT progesteronereceptor\nFROM breastCancer\nWHERE progesteronereceptor IS NOT NULL;\n```","cost":0.0000688,"response_parsed":"SELECT progesteronereceptor\nFROM breastCancer\nWHERE progesteronereceptor IS NOT NULL;","time":0.6239414215}}
+{"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 *\nFROM breastCancer\nWHERE estrogenreceptor IS NOT NULL;\n```\n\nThis SQL query will fetch all rows from the `breastCancer` table where the `estrogenreceptor` column is not null. If you want to fetch all rows regardless of whether `estrogenreceptor` is null or not, you can use the following query:\n\n```sql\nSELECT *\nFROM breastCancer;\n```","cost":0.0000658,"response_parsed":"SELECT *\nFROM breastCancer;","time":0.4892976284}}
+{"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 *\nFROM breastCancer;\n```\n\nThis SQL query will return all columns (`*`) from the `breastCancer` table. If you want to return only specific columns, you can replace `*` with the column names separated by commas, like this:\n\n```sql\nSELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status\nFROM breastCancer;\n```","cost":0.0000688,"response_parsed":"SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status\nFROM breastCancer;","time":0.5033223629}}
+{"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 \nFROM breastCancer;\n```\n\nThis SQL query will fetch all the `patientidentifier` values from the `breastCancer` table.","cost":0.0000552,"response_parsed":"SELECT patientidentifier \nFROM breastCancer;","time":0.7385833263}}
+{"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 *\nFROM breastCancer;\n```\n\nThis SQL query will return all rows from the `breastCancer` table. \n\nIf you want to specify the columns you want to retrieve instead of all columns, you can replace `*` with the column names separated by commas. For example:\n\n```sql\nSELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade\nFROM breastCancer;\n```","cost":0.0000658,"response_parsed":"SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade\nFROM breastCancer;","time":0.5529019833}}
+{"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":"```sql\nSELECT *\nFROM breastCancer;\n```\n\nThis SQL query will return all columns (`*`) from the `breastCancer` table. If you want to return only specific columns, you can replace `*` with the column names separated by commas, like this:\n\n```sql\nSELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status\nFROM breastCancer;\n```","cost":0.0000688,"response_parsed":"SELECT patientidentifier, age, menopausalstatus, tumorsize, tumorgrade, numberpositivelymphnodes, progesteronereceptor, estrogenreceptor, hormonaltherapy, status\nFROM breastCancer;","time":0.604878664}}
+{"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":"```sql\nSELECT \n  estrogenreceptor,\n  tumorgrade\nFROM \n  breastCancer;\n```\n\nThis SQL query will fetch all the rows from the `breastCancer` table and return the `estrogenreceptor` and `tumorgrade` columns.","cost":0.0000602,"response_parsed":"SELECT \n  estrogenreceptor,\n  tumorgrade\nFROM \n  breastCancer;","time":0.5187695026}}
+{"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":"```sql\nSELECT \n    hormonaltherapy,\n    patientidentifier,\n    numberpositivelymphnodes\nFROM \n    breastCancer;\n```\n\nThis SQL query will fetch all the rows from the `breastCancer` table and return the columns `hormonaltherapy`, `patientidentifier`, and `numberpositivelymphnodes`.","cost":0.0000634,"response_parsed":"SELECT \n    hormonaltherapy,\n    patientidentifier,\n    numberpositivelymphnodes\nFROM \n    breastCancer;","time":0.4576337337}}
+{"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":"```sql\nSELECT \n  numberpositivelymphnodes,\n  patientidentifier,\n  tumorgrade,\n  age\nFROM \n  breastCancer;\n```\n\nThis SQL query will fetch all the required columns (`numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, and `age`) from the `breastCancer` table.","cost":0.0000644,"response_parsed":"SELECT \n  numberpositivelymphnodes,\n  patientidentifier,\n  tumorgrade,\n  age\nFROM \n  breastCancer;","time":0.5334410667}}
+{"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":"```sql\nSELECT \n  estrogenreceptor,\n  status,\n  menopausalstatus,\n  tumorgrade,\n  age\nFROM \n  breastCancer;\n```\n\nThis SQL query will fetch all the specified columns (`estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, and `age`) from the `breastCancer` table.","cost":0.0000662,"response_parsed":"SELECT \n  estrogenreceptor,\n  status,\n  menopausalstatus,\n  tumorgrade,\n  age\nFROM \n  breastCancer;","time":0.5783822536}}
+{"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":"```sql\nSELECT \n  patientidentifier,\n  hormonaltherapy,\n  status,\n  age,\n  menopausalstatus,\n  tumorsize\nFROM \n  breastCancer;\n```\n\nThis SQL query will fetch all the specified columns from the `breastCancer` table.","cost":0.0000624,"response_parsed":"SELECT \n  patientidentifier,\n  hormonaltherapy,\n  status,\n  age,\n  menopausalstatus,\n  tumorsize\nFROM \n  breastCancer;","time":0.4609773159}}
+{"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 \n  tumorgrade,\n  progesteronereceptor,\n  menopausalstatus,\n  estrogenreceptor,\n  numberpositivelymphnodes,\n  status,\n  age\nFROM \n  breastCancer;\n```\n\nThis SQL query will fetch all the specified columns (`tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, `age`) from the `breastCancer` table.","cost":0.000074,"response_parsed":"SELECT \n  tumorgrade,\n  progesteronereceptor,\n  menopausalstatus,\n  estrogenreceptor,\n  numberpositivelymphnodes,\n  status,\n  age\nFROM \n  breastCancer;","time":0.6528904438}}
+{"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 \n  tumorgrade,\n  status,\n  progesteronereceptor,\n  estrogenreceptor,\n  age,\n  tumorsize,\n  patientidentifier,\n  hormonaltherapy\nFROM \n  breastCancer;\n```\n\nThis SQL query will fetch all the specified columns from the `breastCancer` table.","cost":0.000066,"response_parsed":"SELECT \n  tumorgrade,\n  status,\n  progesteronereceptor,\n  estrogenreceptor,\n  age,\n  tumorsize,\n  patientidentifier,\n  hormonaltherapy\nFROM \n  breastCancer;","time":0.5663537979}}
+{"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":"```sql\nSELECT \n  tumorsize,\n  hormonaltherapy,\n  age,\n  status,\n  tumorgrade,\n  menopausalstatus,\n  progesteronereceptor,\n  estrogenreceptor,\n  numberpositivelymphnodes\nFROM \n  breastCancer;\n```\n\nThis SQL query will fetch all the specified columns from the `breastCancer` table in the database.","cost":0.00007,"response_parsed":"SELECT \n  tumorsize,\n  hormonaltherapy,\n  age,\n  status,\n  tumorgrade,\n  menopausalstatus,\n  progesteronereceptor,\n  estrogenreceptor,\n  numberpositivelymphnodes\nFROM \n  breastCancer;","time":0.4610357285}}
+{"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 *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults IS NOT NULL;\n```\n\nThis SQL query will fetch all rows from the `heartAttack` table where the `restingelectrocardiographicrresults` column is not null. The `*` in the `SELECT` statement will return all columns, and the `WHERE` clause will filter the results to only include rows where the specified column is not null.","cost":0.0000678,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults IS NOT NULL;","time":0.6528551579}}
+{"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":"```sql\nSELECT fastingbloodsugar \nFROM heartAttack;\n```\n\nThis SQL query will fetch all the values in the `fastingbloodsugar` column from the `heartAttack` table.","cost":0.0000564,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack;","time":0.3964662552}}
+{"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 * \nFROM heartAttack \nWHERE thall IS NOT NULL;\n```\n\nThis SQL query will fetch all rows from the `heartAttack` table where the value in the `thall` column is not null. The `IS NOT NULL` condition is used to exclude rows with null values in the `thall` column.","cost":0.0000618,"response_parsed":"SELECT * \nFROM heartAttack \nWHERE thall IS NOT NULL;","time":0.4396493435}}
+{"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":"```sql\nSELECT restingbloodpressure \nFROM heartAttack;\n```\n\nThis SQL query will fetch all the resting blood pressure values from the \"heartAttack\" table.","cost":0.0000546,"response_parsed":"SELECT restingbloodpressure \nFROM heartAttack;","time":0.4539849758}}
+{"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":"```sql\nSELECT numberofmajorvvessels\nFROM heartAttack;\n```\n\nThis SQL query will fetch all the values in the `numberofmajorvvessels` column from the `heartAttack` table.","cost":0.0000574,"response_parsed":"SELECT numberofmajorvvessels\nFROM heartAttack;","time":0.4106688499}}
+{"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 *\nFROM heartAttack;\n```\n\nThis SQL query will return all rows from the `heartAttack` table. \n\nIf you want to specify the columns you want to retrieve, you can replace `*` with the column names separated by commas:\n\n```sql\nSELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output\nFROM heartAttack;\n```","cost":0.0000692,"response_parsed":"SELECT age, sex, chestpaintype, restingbloodpressure, cholestoralinmg, fastingbloodsugar, restingelectrocardiographicrresults, numberofmajorvvessels, thall, output\nFROM heartAttack;","time":0.4860463142}}
+{"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":"```sql\nSELECT restingbloodpressure \nFROM heartAttack;\n```\n\nThis SQL query will fetch all the resting blood pressure values from the \"heartAttack\" table.","cost":0.0000546,"response_parsed":"SELECT restingbloodpressure \nFROM heartAttack;","time":0.4024453163}}
+{"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":"```sql\nSELECT restingbloodpressure, thall\nFROM heartAttack;\n```\n\nThis SQL query will fetch all the rows from the `heartAttack` table and return the `restingbloodpressure` and `thall` columns.","cost":0.0000582,"response_parsed":"SELECT restingbloodpressure, thall\nFROM heartAttack;","time":0.3038802147}}
+{"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":"```sql\nSELECT \n  restingbloodpressure,\n  sex,\n  fastingbloodsugar\nFROM \n  heartAttack;\n```\n\nThis SQL query will fetch all the rows from the `heartAttack` table and return the `restingbloodpressure`, `sex`, and `fastingbloodsugar` columns.","cost":0.0000622,"response_parsed":"SELECT \n  restingbloodpressure,\n  sex,\n  fastingbloodsugar\nFROM \n  heartAttack;","time":0.542992115}}
+{"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```\n\nThis SQL query will fetch all the rows from the `heartAttack` table and return the columns `thall`, `sex`, `numberofmajorvvessels`, and `age`.","cost":0.0000624,"response_parsed":"SELECT thall, sex, numberofmajorvvessels, age\nFROM heartAttack;","time":0.5136921406}}
+{"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```\n\nThis SQL query will fetch all the specified columns from the `heartAttack` table.","cost":0.0000656,"response_parsed":"SELECT \n  restingelectrocardiographicrresults,\n  restingbloodpressure,\n  thall,\n  fastingbloodsugar,\n  numberofmajorvvessels\nFROM \n  heartAttack;","time":0.34293437}}
+{"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 \n  sex,\n  chestpaintype,\n  fastingbloodsugar,\n  age,\n  numberofmajorvvessels,\n  cholestoralinmg\nFROM \n  heartAttack;\n```\n\nThis SQL query will fetch all the specified columns (`sex`, `chestpaintype`, `fastingbloodsugar`, `age`, `numberofmajorvvessels`, `cholestoralinmg`) from the `heartAttack` table.","cost":0.0000714,"response_parsed":"SELECT \n  sex,\n  chestpaintype,\n  fastingbloodsugar,\n  age,\n  numberofmajorvvessels,\n  cholestoralinmg\nFROM \n  heartAttack;","time":0.4385790825}}
+{"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 \n  numberofmajorvvessels,\n  restingbloodpressure,\n  age,\n  fastingbloodsugar,\n  sex,\n  cholestoralinmg,\n  restingelectrocardiographicrresults\nFROM \n  heartAttack;\n```\n\nThis SQL query will fetch all the specified columns from the `heartAttack` table.","cost":0.000069,"response_parsed":"SELECT \n  numberofmajorvvessels,\n  restingbloodpressure,\n  age,\n  fastingbloodsugar,\n  sex,\n  cholestoralinmg,\n  restingelectrocardiographicrresults\nFROM \n  heartAttack;","time":0.4339239597}}
+{"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```\n\nThis SQL query will fetch all the specified columns from the `heartAttack` table.","cost":0.0000708,"response_parsed":"SELECT \n  numberofmajorvvessels,\n  chestpaintype,\n  restingelectrocardiographicrresults,\n  output,\n  fastingbloodsugar,\n  restingbloodpressure,\n  cholestoralinmg,\n  sex\nFROM \n  heartAttack;","time":0.470510006}}
+{"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 \n  chestpaintype,\n  sex,\n  fastingbloodsugar,\n  restingelectrocardiographicrresults,\n  thall,\n  numberofmajorvvessels,\n  age,\n  output,\n  restingbloodpressure\nFROM \n  heartAttack;\n```\n\nThis SQL query will fetch all the specified columns from the `heartAttack` table.","cost":0.0000706,"response_parsed":"SELECT \n  chestpaintype,\n  sex,\n  fastingbloodsugar,\n  restingelectrocardiographicrresults,\n  thall,\n  numberofmajorvvessels,\n  age,\n  output,\n  restingbloodpressure\nFROM \n  heartAttack;","time":0.4426550865}}
+{"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":"```sql\nSELECT *\nFROM breastCancer\nWHERE menopausalstatus = 'postmenopausal';\n```\n\nThis SQL query will fetch all columns (`*`) from the `breastCancer` table where the `menopausalstatus` is equal to `'postmenopausal'`.","cost":0.0000624,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE menopausalstatus = 'postmenopausal';","time":0.4349637032}}
+{"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":"```sql\nSELECT *\nFROM breastCancer\nWHERE menopausalstatus != 'premenopausal';\n```\n\nThis SQL query will fetch all columns (`*`) from the `breastCancer` table where the `menopausalstatus` is not equal to `'premenopausal'`.","cost":0.0000626,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE menopausalstatus != 'premenopausal';","time":0.4181683064}}
+{"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 *\nFROM breastCancer\nWHERE menopausalstatus != 'postmenopausal';\n```\n\nThis SQL query will fetch all the data from the `breastCancer` table where the `menopausalstatus` is not equal to 'postmenopausal'.","cost":0.000062,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE menopausalstatus != 'postmenopausal';","time":0.4338111877}}
+{"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```\n\nThis SQL query will fetch all columns (`*`) from the `breastCancer` table where the value in the `hormonaltherapy` column is equal to `'yes'`.","cost":0.0000606,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE hormonaltherapy = 'yes';","time":0.4034585953}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `breastCancer` table where the value in the `hormonaltherapy` column is not equal to `'no'`.","cost":0.0000608,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE hormonaltherapy != 'no';","time":0.4695973396}}
+{"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":"```sql\nSELECT *\nFROM breastCancer\nWHERE hormonaltherapy != 'no';\n```\n\nThis SQL query will return all columns (`*`) from the `breastCancer` table where the value in the `hormonaltherapy` column is not equal to `'no'`.","cost":0.0000608,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE hormonaltherapy != 'no';","time":0.3373732567}}
+{"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 *\nFROM breastCancer\nWHERE status = 'recurrenceOrDeath';\n```\n\nThis SQL query will fetch all columns (`*`) from the `breastCancer` table where the `status` column is equal to `'recurrenceOrDeath'`.","cost":0.0000606,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE status = 'recurrenceOrDeath';","time":0.7735404968}}
+{"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":"```sql\nSELECT *\nFROM breastCancer\nWHERE status != 'aliveWithoutRecurrence';\n```\n\nThis SQL query will return all columns (`*`) from the `breastCancer` table where the `status` is not equal to `'aliveWithoutRecurrence'`.","cost":0.0000608,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE status != 'aliveWithoutRecurrence';","time":0.3635957241}}
+{"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```\n\nThis SQL query will fetch all columns (`*`) from the `breastCancer` table where the `status` is not equal to `'aliveWithoutRecurrence'`.","cost":0.0000608,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE status != 'aliveWithoutRecurrence';","time":0.3360695839}}
+{"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 *\nFROM breastCancer\nWHERE age > 32;\n```\n\nThis SQL query will return all columns (`*`) from the `breastCancer` table where the `age` is greater than 32.","cost":0.0000588,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE age > 32;","time":0.39716959}}
+{"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":"```sql\nSELECT *\nFROM breastCancer\nWHERE progesteronereceptor < 239;\n```\n\nThis SQL query will fetch all columns (`*`) from the `breastCancer` table where the value in the `progesteronereceptor` column is less than 239.","cost":0.000062,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE progesteronereceptor < 239;","time":0.3880829811}}
+{"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 *\nFROM heartAttack\nWHERE chestpaintype = 'nonAnginalPain';\n```\n\nThis SQL query will fetch all columns (`*`) from the `heartAttack` table where the `chestpaintype` is equal to `'nonAnginalPain'`.","cost":0.0000616,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE chestpaintype = 'nonAnginalPain';","time":0.4277825356}}
+{"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 *\nFROM heartAttack\nWHERE chestpaintype != 'asymptomatic';\n```\n\nThis SQL query will fetch all the data from the `heartAttack` table where the `chestpaintype` is not equal to 'asymptomatic'.","cost":0.0000602,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE chestpaintype != 'asymptomatic';","time":0.3682565689}}
+{"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 *\nFROM heartAttack\nWHERE chestpaintype != 'typicalAngina';\n```\n\nThis SQL query will return all columns (`*`) from the `heartAttack` table where the `chestpaintype` is not equal to `'typicalAngina'`.","cost":0.000061,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE chestpaintype != 'typicalAngina';","time":0.471401453}}
+{"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 = 'Left Ventricular Hypertrophy';\n```\n\nThis SQL query will fetch all columns (`*`) from the `heartAttack` table where the `restingelectrocardiographicrresults` column is equal to `'Left Ventricular Hypertrophy'`.","cost":0.0000662,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults = 'Left Ventricular Hypertrophy';","time":0.4676675797}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults != 'normal';\n```\n\nThis SQL query will fetch all the data from the `heartAttack` table where the value in the `restingelectrocardiographicrresults` column is not equal to 'normal'.","cost":0.000063,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults != 'normal';","time":0.3699204922}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults != 'STTWaveAbnormality';\n```\n\nThis SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `restingelectrocardiographicrresults` column is not equal to `'STTWaveAbnormality'`.","cost":0.0000666,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults != 'STTWaveAbnormality';","time":0.4220144749}}
+{"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 *\nFROM heartAttack\nWHERE output = 'noHeartAttack';\n```\n\nThis SQL query will return all columns (`*`) from the `heartAttack` table where the `output` column is equal to `'noHeartAttack'`.","cost":0.0000594,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE output = 'noHeartAttack';","time":0.3743729591}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nWHERE output != (SELECT output FROM heartAttack);\n```\n\nThis SQL query will return all rows from the `heartAttack` table where the `output` value is different from any value in the `output` column. \n\nHowever, if you want to compare the `output` column with itself, it's likely that you want to find rows where the `output` value is different from the default or expected value. In that case, you would need to know what the default or expected value is.\n\nIf you want to compare the `output` column with the `output` column of another table, you would need to join the two tables. However, based on the provided schema, it seems like you want to compare the `output` column with itself, so the above query should work. \n\nIf you want to compare the `output` column with the `output` column of another table, you would need to join the two tables like this:\n\n```sql\nSELECT ha.*\nFROM heartAttack ha\nJOIN breastCancer bc ON ha.age = bc.age\nWHERE ha.output != bc.status;\n```\n\nThis query will return all rows from the `heartAttack` table where the `output` value is different from the `status` value in the `breastCancer` table, based on matching `age` values.","cost":0.0001046,"response_parsed":"SELECT ha.*\nFROM heartAttack ha\nJOIN breastCancer bc ON ha.age = bc.age\nWHERE ha.output != bc.status;","time":1.4234311581}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nWHERE output != 'heartAttack';\n```\n\nThis SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `output` column is not equal to `'heartAttack'`.","cost":0.0000596,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE output != 'heartAttack';","time":0.3806335926}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nWHERE numberofmajorvvessels > 2;\n```\n\nThis SQL query will fetch all columns (`*`) from the `heartAttack` table where the `numberofmajorvvessels` is greater than 2.","cost":0.000061,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE numberofmajorvvessels > 2;","time":0.4395127296}}
+{"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":"```sql\nSELECT *\nFROM heartAttack\nWHERE cholestoralinmg > 197;\n```\n\nThis SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `cholestoralinmg` column is greater than 197.","cost":0.0000612,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE cholestoralinmg > 197;","time":0.4078845978}}
+{"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 *\nFROM heartAttack\nWHERE cholestoralinmg < 211;\n```\n\nThis SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `cholestoralinmg` column is less than 211.","cost":0.0000612,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE cholestoralinmg < 211;","time":0.4237482548}}
+{"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 *\nFROM heartAttack\nWHERE thall > 2;\n```\n\nThis SQL query will return all columns (`*`) from the `heartAttack` table where the value in the `thall` column is greater than 2.","cost":0.0000594,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE thall > 2;","time":0.4895353317}}
+{"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":"```sql\nSELECT COUNT(DISTINCT menopausalstatus) \nFROM breastCancer;\n```\n\nThis SQL query will return the number of different menopausal statuses in the `breastCancer` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `menopausalstatus` column.","cost":0.0000628,"response_parsed":"SELECT COUNT(DISTINCT menopausalstatus) \nFROM breastCancer;","time":0.42324543}}
+{"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":"```sql\nSELECT COUNT(DISTINCT hormonaltherapy) \nFROM breastCancer;\n```\n\nThis SQL query will return the number of different hormonal therapies in the `breastCancer` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `hormonaltherapy` column.","cost":0.0000616,"response_parsed":"SELECT COUNT(DISTINCT hormonaltherapy) \nFROM breastCancer;","time":0.4786617756}}
+{"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":"```sql\nSELECT COUNT(DISTINCT status) \nFROM breastCancer;\n```\n\nThis SQL query will return the number of different statuses in the `breastCancer` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `status` column.","cost":0.0000604,"response_parsed":"SELECT COUNT(DISTINCT status) \nFROM breastCancer;","time":0.4734244347}}
+{"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":"```sql\nSELECT MAX(progesteronereceptor) \nFROM breastCancer;\n```\n\nThis SQL query will return the maximum value of `progesteronereceptor` from the `breastCancer` table.","cost":0.0000578,"response_parsed":"SELECT MAX(progesteronereceptor) \nFROM breastCancer;","time":0.3209240437}}
+{"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":"```sql\nSELECT MIN(progesteronereceptor) \nFROM breastCancer;\n```\n\nThis SQL query will return the minimum value of `progesteronereceptor` from the `breastCancer` table.","cost":0.0000578,"response_parsed":"SELECT MIN(progesteronereceptor) \nFROM breastCancer;","time":0.3186867237}}
+{"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":"```sql\nSELECT AVG(progesteronereceptor) \nFROM breastCancer;\n```\n\nThis SQL query will return the average value of `progesteronereceptor` from the `breastCancer` table.","cost":0.0000578,"response_parsed":"SELECT AVG(progesteronereceptor) \nFROM breastCancer;","time":0.3461146355}}
+{"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":"```sql\nSELECT MAX(estrogenreceptor) \nFROM breastCancer;\n```\n\nThis SQL query will return the maximum value of the `estrogenreceptor` column in the `breastCancer` table.","cost":0.0000574,"response_parsed":"SELECT MAX(estrogenreceptor) \nFROM breastCancer;","time":0.3398263454}}
+{"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":"```sql\nSELECT MIN(estrogenreceptor) \nFROM breastCancer;\n```\n\nThis SQL query will return the minimum value of the `estrogenreceptor` column in the `breastCancer` table.","cost":0.0000574,"response_parsed":"SELECT MIN(estrogenreceptor) \nFROM breastCancer;","time":0.3683507442}}
+{"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":"```sql\nSELECT AVG(estrogenreceptor) \nFROM breastCancer;\n```\n\nThis SQL query will return the average value of the `estrogenreceptor` column in the `breastCancer` table.","cost":0.0000574,"response_parsed":"SELECT AVG(estrogenreceptor) \nFROM breastCancer;","time":0.379099369}}
+{"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":"```sql\nSELECT COUNT(DISTINCT sex) \nFROM heartAttack;\n```\n\nThis SQL query will return the number of different sexes in the `heartAttack` table. The `COUNT(DISTINCT sex)` function counts the number of unique values in the `sex` column.","cost":0.0000592,"response_parsed":"SELECT COUNT(DISTINCT sex) \nFROM heartAttack;","time":0.4111244678}}
+{"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":"```sql\nSELECT COUNT(DISTINCT chestpaintype) \nFROM heartAttack;\n```\n\nThis SQL query will return the number of different chestpaintype values in the \"heartAttack\" table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.0000606,"response_parsed":"SELECT COUNT(DISTINCT chestpaintype) \nFROM heartAttack;","time":0.4050343037}}
+{"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":"```sql\nSELECT COUNT(DISTINCT fastingbloodsugar) \nFROM heartAttack;\n```\n\nThis SQL query will return the number of different fasting blood sugar values in the `heartAttack` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `fastingbloodsugar` column.","cost":0.0000622,"response_parsed":"SELECT COUNT(DISTINCT fastingbloodsugar) \nFROM heartAttack;","time":0.4067308903}}
+{"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":"```sql\nSELECT COUNT(DISTINCT \"restingelectrocardiographicrresults\") \nFROM \"heartAttack\";\n```\n\nThis SQL query will return the number of different `restingelectrocardiographicrresults` in the `heartAttack` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.0000648,"response_parsed":"SELECT COUNT(DISTINCT \"restingelectrocardiographicrresults\") \nFROM \"heartAttack\";","time":0.3996932507}}
+{"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":"```sql\nSELECT COUNT(DISTINCT \"output\") \nFROM \"heartAttack\";\n```\n\nThis SQL query will return the number of different outputs in the \"heartAttack\" table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the \"output\" column.","cost":0.00006,"response_parsed":"SELECT COUNT(DISTINCT \"output\") \nFROM \"heartAttack\";","time":0.3409354687}}
+{"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":"```sql\nSELECT MAX(numberofmajorvvessels) \nFROM heartAttack;\n```\n\nThis SQL query will return the maximum number of major vessels from the `heartAttack` table.","cost":0.0000564,"response_parsed":"SELECT MAX(numberofmajorvvessels) \nFROM heartAttack;","time":0.3602468967}}
+{"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) \nFROM heartAttack;\n```\n\nThis SQL query will return the minimum number of major vessels from the `heartAttack` table.","cost":0.0000564,"response_parsed":"SELECT MIN(numberofmajorvvessels) \nFROM heartAttack;","time":0.6952559948}}
+{"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":"```sql\nSELECT AVG(numberofmajorvvessels) \nFROM heartAttack;\n```\n\nThis SQL query will return the average number of major vessels for the table `heartAttack`.","cost":0.0000562,"response_parsed":"SELECT AVG(numberofmajorvvessels) \nFROM heartAttack;","time":0.3542752266}}
+{"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":"```sql\nSELECT MAX(thall) \nFROM heartAttack;\n```\n\nThis SQL query will return the maximum value of the 'thall' column in the 'heartAttack' table.","cost":0.0000556,"response_parsed":"SELECT MAX(thall) \nFROM heartAttack;","time":0.3651754856}}
+{"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":"```sql\nSELECT MIN(thall) \nFROM heartAttack;\n```\n\nThis SQL query will return the minimum value of the 'thall' column in the 'heartAttack' table.","cost":0.0000556,"response_parsed":"SELECT MIN(thall) \nFROM heartAttack;","time":0.3512265682}}
+{"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":"```sql\nSELECT AVG(thall) \nFROM heartAttack;\n```\n\nThis SQL query will return the average value of the `thall` column in the `heartAttack` table.","cost":0.0000556,"response_parsed":"SELECT AVG(thall) \nFROM heartAttack;","time":0.2945160866}}
+{"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 \nFROM adultCensus;\n```\n\nThis SQL code will fetch all the unique native countries from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000514,"response_parsed":"SELECT DISTINCT nativecountry \nFROM adultCensus;","time":0.4088759422}}
+{"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":"```sql\nSELECT DISTINCT sex \nFROM adultCensus;\n```\n\nThis SQL query will return the different sex values present in the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.000051,"response_parsed":"SELECT DISTINCT sex \nFROM adultCensus;","time":0.3543894291}}
+{"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":"```sql\nSELECT DISTINCT race \nFROM adultCensus;\n```\n\nThis SQL query will return all the different races present in the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.000051,"response_parsed":"SELECT DISTINCT race \nFROM adultCensus;","time":0.4089756012}}
+{"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 \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique workclass values from the `adultCensus` table. The `DISTINCT` keyword is used to select only unique values.","cost":0.0000516,"response_parsed":"SELECT DISTINCT workclass \nFROM adultCensus;","time":0.5255410671}}
+{"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":"```sql\nSELECT DISTINCT income \nFROM adultCensus;\n```\n\nThis SQL query will return all the different income values from the `income` column in the `adultCensus` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.000052,"response_parsed":"SELECT DISTINCT income \nFROM adultCensus;","time":0.5542984009}}
+{"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":"```sql\nSELECT DISTINCT odor \nFROM mushrooms;\n```\n\nThis SQL code will fetch all the different odors from the `mushrooms` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000502,"response_parsed":"SELECT DISTINCT odor \nFROM mushrooms;","time":0.4100120068}}
+{"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":"```sql\nSELECT DISTINCT gillspacing \nFROM mushrooms;\n```\n\nThis SQL query will return all the different gillspacing values from the \"mushrooms\" table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000514,"response_parsed":"SELECT DISTINCT gillspacing \nFROM mushrooms;","time":0.4378871918}}
+{"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":"```sql\nSELECT DISTINCT capshape \nFROM mushrooms;\n```\n\nThis SQL query will return all the unique capshape values from the \"mushrooms\" table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000506,"response_parsed":"SELECT DISTINCT capshape \nFROM mushrooms;","time":0.3440577984}}
+{"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":"```sql\nSELECT DISTINCT gillsize \nFROM mushrooms;\n```\n\nThis SQL query will return all the different gill sizes present in the \"mushrooms\" table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000514,"response_parsed":"SELECT DISTINCT gillsize \nFROM mushrooms;","time":0.4245212078}}
+{"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":"```sql\nSELECT DISTINCT capsurface \nFROM mushrooms;\n```\n\nThis SQL query will return the different capsurface values from the \"mushrooms\" table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000506,"response_parsed":"SELECT DISTINCT capsurface \nFROM mushrooms;","time":0.4191839695}}
+{"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":"```sql\nSELECT \n    e.education, \n    COUNT(ac.workclass) as count\nFROM \n    adultCensus ac\nJOIN \n    adultCensus e ON ac.workclass = e.workclass\nGROUP BY \n    e.education\nORDER BY \n    count DESC;\n```\n\nHowever, the above SQL query will not give the correct result because it will count the number of rows for each education where the workclass is the same. \n\nIf you want to count the number of rows for each education, you should use the following SQL query:\n\n```sql\nSELECT \n    education, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    education\nORDER BY \n    count DESC;\n```\n\nThis SQL query will return the count of rows for each education in the `adultCensus` table.","cost":0.0000772,"response_parsed":"SELECT \n    education, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    education\nORDER BY \n    count DESC;","time":0.8336105347}}
+{"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 \n    maritalstatus, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    maritalstatus;\n```\n\nThis SQL query will return a list of unique marital statuses from the `adultCensus` table along with the count of rows for each marital status. \n\nHere's a breakdown of the query:\n\n- `SELECT maritalstatus, COUNT(*) as count`: This selects the `maritalstatus` column and counts the number of rows for each group using the `COUNT(*)` function. The `as count` part gives an alias to the count column, making it easier to read.\n\n- `FROM adultCensus`: This specifies the table to query, which is `adultCensus`.\n\n- `GROUP BY maritalstatus`: This groups the rows by the `maritalstatus` column, so that the count is calculated for each unique marital status.","cost":0.0000788,"response_parsed":"SELECT \n    maritalstatus, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    maritalstatus;","time":0.7509572506}}
+{"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":"```sql\nSELECT \n    a.race, \n    COUNT(*) as count\nFROM \n    adultCensus a\nGROUP BY \n    a.race;\n```\n\nThis SQL query will return the count of rows for each unique value in the `race` column of the `adultCensus` table. \n\nHere's how it works:\n\n- `SELECT a.race, COUNT(*) as count`: This selects the `race` column from the `adultCensus` table and counts the number of rows for each unique value in the `race` column. The `COUNT(*)` function counts the number of rows in each group.\n\n- `FROM adultCensus a`: This specifies the table to query, which is `adultCensus`. The `a` is an alias for the table, which is used in the `GROUP BY` clause.\n\n- `GROUP BY a.race`: This groups the rows by the `race` column. The `COUNT(*)` function then counts the number of rows in each group.","cost":0.000084,"response_parsed":"SELECT \n    a.race, \n    COUNT(*) as count\nFROM \n    adultCensus a\nGROUP BY \n    a.race;","time":0.7028646469}}
+{"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":"```sql\nSELECT \n    nativecountry, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    nativecountry;\n```\n\nThis SQL query will return a list of native countries from the `adultCensus` table along with the count of rows for each country. The `GROUP BY` clause is used to group the rows by the `nativecountry` column, and the `COUNT(*)` function is used to count the number of rows in each group.","cost":0.0000624,"response_parsed":"SELECT \n    nativecountry, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    nativecountry;","time":0.5134584904}}
+{"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":"```sql\nSELECT \n    workclass, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    workclass;\n```\n\nThis SQL query will return a table with two columns: `workclass` and `count`. The `count` column will contain the number of rows for each unique `workclass` in the `adultCensus` table.","cost":0.0000582,"response_parsed":"SELECT \n    workclass, \n    COUNT(*) as count\nFROM \n    adultCensus\nGROUP BY \n    workclass;","time":0.4827997684}}
+{"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":"```sql\nSELECT \n    race, \n    MIN(hoursperweek) AS min_hoursperweek\nFROM \n    adultCensus\nGROUP BY \n    race;\n```\n\nThis SQL query will return the minimum hours per week for each race in the `adultCensus` table. The `GROUP BY` clause groups the results by the `race` column, and the `MIN` function calculates the minimum `hoursperweek` for each group.","cost":0.0000612,"response_parsed":"SELECT \n    race, \n    MIN(hoursperweek) AS min_hoursperweek\nFROM \n    adultCensus\nGROUP BY \n    race;","time":0.6374294758}}
+{"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":"```sql\nSELECT \n    race, \n    MAX(hoursperweek) AS max_hoursperweek\nFROM \n    adultCensus\nGROUP BY \n    race;\n```\n\nThis SQL query will return the maximum hours per week for each race in the `adultCensus` table. The `GROUP BY` clause groups the rows by the `race` column, and the `MAX` function calculates the maximum `hoursperweek` for each group.","cost":0.0000612,"response_parsed":"SELECT \n    race, \n    MAX(hoursperweek) AS max_hoursperweek\nFROM \n    adultCensus\nGROUP BY \n    race;","time":0.5381920338}}
+{"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":"```sql\nSELECT \n    race, \n    AVG(hoursperweek) AS avg_hours_per_week\nFROM \n    adultCensus\nGROUP BY \n    race;\n```\n\nThis SQL query will return the average hours per week for each race in the `adultCensus` table. The `GROUP BY` clause groups the results by the `race` column, and the `AVG` function calculates the average of the `hoursperweek` column for each group.","cost":0.000062,"response_parsed":"SELECT \n    race, \n    AVG(hoursperweek) AS avg_hours_per_week\nFROM \n    adultCensus\nGROUP BY \n    race;","time":0.4498569965}}
+{"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":"```sql\nSELECT \n    race, \n    SUM(hoursperweek) AS total_hours_per_week\nFROM \n    adultCensus\nGROUP BY \n    race;\n```\n\nThis SQL query will return the sum of `hoursperweek` for each unique value in the `race` column in the `adultCensus` table. The result will be a table with two columns: `race` and `total_hours_per_week`.","cost":0.0000604,"response_parsed":"SELECT \n    race, \n    SUM(hoursperweek) AS total_hours_per_week\nFROM \n    adultCensus\nGROUP BY \n    race;","time":0.5449299812}}
+{"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":"```sql\nSELECT \n    a.education,\n    MIN(a.hoursperweek) AS min_hoursperweek\nFROM \n    adultCensus a\nGROUP BY \n    a.education;\n```\n\nThis SQL query will return the education level and the minimum hours per week for each education level in the `adultCensus` table. \n\nHere's how it works:\n\n- `SELECT a.education, MIN(a.hoursperweek) AS min_hoursperweek`: This selects the education level and the minimum hours per week for each group.\n- `FROM adultCensus a`: This specifies the table to query and assigns it the alias `a`.\n- `GROUP BY a.education`: This groups the results by the education level, so that the minimum hours per week can be calculated for each level.","cost":0.000076,"response_parsed":"SELECT \n    a.education,\n    MIN(a.hoursperweek) AS min_hoursperweek\nFROM \n    adultCensus a\nGROUP BY \n    a.education;","time":0.6630415916}}
+{"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":"```sql\nSELECT \n    education,\n    MAX(hoursperweek) AS max_hoursperweek\nFROM \n    adultCensus\nGROUP BY \n    education;\n```\n\nThis SQL query will return the education level and the maximum hours per week for each education level in the `adultCensus` table.","cost":0.0000552,"response_parsed":"SELECT \n    education,\n    MAX(hoursperweek) AS max_hoursperweek\nFROM \n    adultCensus\nGROUP BY \n    education;","time":0.4708693027}}
+{"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 \n    education,\n    AVG(hoursperweek) AS avg_hours_per_week\nFROM \n    adultCensus\nGROUP BY \n    education;\n```\n\nThis SQL query will return the average hours per week for each education level in the `adultCensus` table. The `GROUP BY` clause groups the results by the `education` column, and the `AVG` function calculates the average of the `hoursperweek` column for each group.","cost":0.000062,"response_parsed":"SELECT \n    education,\n    AVG(hoursperweek) AS avg_hours_per_week\nFROM \n    adultCensus\nGROUP BY \n    education;","time":0.5261523724}}
+{"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":"```sql\nSELECT \n    a.education, \n    SUM(ac.hoursperweek) AS total_hours\nFROM \n    adultCensus ac\nGROUP BY \n    a.education;\n```\n\nHowever, since there is no alias 'a' in the table 'adultCensus', we should use the actual table name 'adultCensus' instead of 'a'. Here's the corrected SQL code:\n\n```sql\nSELECT \n    education, \n    SUM(hoursperweek) AS total_hours\nFROM \n    adultCensus\nGROUP BY \n    education;\n```","cost":0.0000662,"response_parsed":"SELECT \n    education, \n    SUM(hoursperweek) AS total_hours\nFROM \n    adultCensus\nGROUP BY \n    education;","time":0.5863616467}}
+{"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":"```sql\nSELECT \n    gillcolor, \n    COUNT(*) as count\nFROM \n    mushrooms\nGROUP BY \n    gillcolor;\n```\n\nThis SQL query will return a table with two columns: `gillcolor` and `count`. The `gillcolor` column will contain the unique gill colors found in the `mushrooms` table, and the `count` column will contain the number of rows for each gill color.","cost":0.0000612,"response_parsed":"SELECT \n    gillcolor, \n    COUNT(*) as count\nFROM \n    mushrooms\nGROUP BY \n    gillcolor;","time":0.4662134647}}
+{"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":"```sql\nSELECT COUNT(*) \nFROM mushrooms \nWHERE bruises = 'bruises';\n```\n\nThis SQL query will return the number of rows in the `mushrooms` table where the value in the `bruises` column is 'bruises'. If you want to count the number of rows for each unique value in the `bruises` column, you can use the following query:\n\n```sql\nSELECT bruises, COUNT(*) as count \nFROM mushrooms \nGROUP BY bruises;\n```\n\nThis query will return a list of unique values in the `bruises` column along with the count of rows for each value.","cost":0.000067,"response_parsed":"SELECT bruises, COUNT(*) as count \nFROM mushrooms \nGROUP BY bruises;","time":0.589461565}}
+{"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 \n    gillsize, \n    COUNT(*) as count\nFROM \n    mushrooms\nGROUP BY \n    gillsize;\n```\n\nThis SQL query will return a table with two columns: `gillsize` and `count`. The `gillsize` column will contain the different gill sizes found in the `mushrooms` table, and the `count` column will contain the number of rows for each gill size.","cost":0.0000612,"response_parsed":"SELECT \n    gillsize, \n    COUNT(*) as count\nFROM \n    mushrooms\nGROUP BY \n    gillsize;","time":0.8573455811}}
+{"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":"```sql\nSELECT \n    class,\n    COUNT(*) as row_count\nFROM \n    mushrooms\nGROUP BY \n    class;\n```\n\nThis SQL query will return a table with two columns: `class` and `row_count`. The `row_count` column will contain the number of rows in the `mushrooms` table for each unique value in the `class` column.","cost":0.0000576,"response_parsed":"SELECT \n    class,\n    COUNT(*) as row_count\nFROM \n    mushrooms\nGROUP BY \n    class;","time":0.4704144001}}
+{"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 \n    capsurface, \n    COUNT(*) as count\nFROM \n    mushrooms\nGROUP BY \n    capsurface;\n```\n\nThis SQL query will return a table with two columns: `capsurface` and `count`. The `count` column will contain the number of rows in the `mushrooms` table for each unique `capsurface` value.","cost":0.0000576,"response_parsed":"SELECT \n    capsurface, \n    COUNT(*) as count\nFROM \n    mushrooms\nGROUP BY \n    capsurface;","time":0.4541978836}}
+{"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":"```sql\nSELECT race \nFROM adultCensus \nGROUP BY race \nHAVING COUNT(*) >= 10;\n```\n\nThis SQL query will return all the unique `race` values from the `adultCensus` table where the count of records for each `race` is 10 or more.","cost":0.000055,"response_parsed":"SELECT race \nFROM adultCensus \nGROUP BY race \nHAVING COUNT(*) >= 10;","time":0.4125049114}}
+{"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":"```sql\nSELECT race \nFROM adultCensus \nGROUP BY race \nHAVING COUNT(*) <= 10;\n```\n\nThis SQL query will return all the unique `race` values from the `adultCensus` table where the count of records for each `race` is less than or equal to 10. The `GROUP BY` clause groups the records by `race`, and the `HAVING` clause filters the groups based on the count of records.","cost":0.0000616,"response_parsed":"SELECT race \nFROM adultCensus \nGROUP BY race \nHAVING COUNT(*) <= 10;","time":0.4316399097}}
+{"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":"```sql\nSELECT relationship \nFROM adultCensus \nGROUP BY relationship \nHAVING COUNT(*) >= 4;\n```\n\nThis SQL query will return all the unique relationships that have at least 4 records in the `adultCensus` table. \n\nHere's how it works:\n\n- `GROUP BY relationship` groups the rows in the `adultCensus` table by the `relationship` column.\n- `COUNT(*)` counts the number of rows in each group.\n- `HAVING COUNT(*) >= 4` filters the groups to only include those with at least 4 rows.","cost":0.0000666,"response_parsed":"SELECT relationship \nFROM adultCensus \nGROUP BY relationship \nHAVING COUNT(*) >= 4;","time":0.5307922363}}
+{"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":"```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) <= 4;\n```\n\nThis SQL query will return all the unique relationships from the `adultCensus` table that have at most 4 records. The `GROUP BY` clause groups the rows by the `relationship` column, and the `HAVING COUNT(*) <= 4` clause filters the groups to only include those with 4 or fewer records.","cost":0.0000612,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) <= 4;","time":0.6179850101}}
+{"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":"```sql\nSELECT maritalstatus \nFROM adultCensus \nGROUP BY maritalstatus \nHAVING COUNT(maritalstatus) >= 5;\n```\n\nThis SQL query will return all the unique marital statuses that have at least 5 records in the `adultCensus` table. \n\nHere's how it works:\n\n- `GROUP BY maritalstatus` groups the rows in the `adultCensus` table by the `maritalstatus` column.\n- `COUNT(maritalstatus)` counts the number of rows in each group.\n- `HAVING COUNT(maritalstatus) >= 5` filters the groups to only include those with at least 5 rows.","cost":0.0000702,"response_parsed":"SELECT maritalstatus \nFROM adultCensus \nGROUP BY maritalstatus \nHAVING COUNT(maritalstatus) >= 5;","time":0.6925752163}}
+{"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":"```sql\nSELECT maritalstatus \nFROM adultCensus \nGROUP BY maritalstatus \nHAVING COUNT(*) <= 5;\n```\n\nThis SQL query will return all the unique `maritalstatus` values from the `adultCensus` table that have at most 5 records. \n\nHere's how it works:\n\n- `GROUP BY maritalstatus` groups the rows in the `adultCensus` table by the `maritalstatus` column.\n- `COUNT(*)` counts the number of rows in each group.\n- `HAVING COUNT(*) <= 5` filters the groups to only include those with 5 or fewer rows.","cost":0.0000688,"response_parsed":"SELECT maritalstatus \nFROM adultCensus \nGROUP BY maritalstatus \nHAVING COUNT(*) <= 5;","time":0.6110236645}}
+{"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":"```sql\nSELECT nativecountry \nFROM adultCensus \nGROUP BY nativecountry \nHAVING AVG(hoursperweek) >= 42.72;\n```\n\nThis SQL query will return the `nativecountry` values from the `adultCensus` table where the average `hoursperweek` is at least 42.72. The `GROUP BY` clause groups the rows by `nativecountry`, and the `HAVING` clause filters the groups based on the average `hoursperweek`.","cost":0.000064,"response_parsed":"SELECT nativecountry \nFROM adultCensus \nGROUP BY nativecountry \nHAVING AVG(hoursperweek) >= 42.72;","time":0.4922935963}}
+{"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":"```sql\nSELECT nativecountry \nFROM adultCensus \nWHERE hoursperweek <= 42.72 \nGROUP BY nativecountry \nHAVING AVG(hoursperweek) <= 42.72;\n```\n\nHowever, the above SQL query will return all native countries where the average hours per week is at most 42.72. If you want to get the average hours per week for each native country, you can use the following query:\n\n```sql\nSELECT nativecountry, AVG(hoursperweek) as average_hours \nFROM adultCensus \nGROUP BY nativecountry \nHAVING AVG(hoursperweek) <= 42.72;\n```\n\nThis query will return the native country and the average hours per week for each native country where the average hours per week is at most 42.72.","cost":0.0000762,"response_parsed":"SELECT nativecountry, AVG(hoursperweek) as average_hours \nFROM adultCensus \nGROUP BY nativecountry \nHAVING AVG(hoursperweek) <= 42.72;","time":0.9096136093}}
+{"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```\n\nThis SQL query will return the `nativecountry` values from the `adultCensus` table where the sum of `hoursperweek` is at least 270.33. The `GROUP BY` clause groups the rows by `nativecountry`, and the `HAVING` clause filters the groups based on the condition.","cost":0.0000636,"response_parsed":"SELECT nativecountry \nFROM adultCensus \nGROUP BY nativecountry \nHAVING SUM(hoursperweek) >= 270.33;","time":0.6788260937}}
+{"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":"```sql\nSELECT nativecountry \nFROM adultCensus \nGROUP BY nativecountry \nHAVING SUM(hoursperweek) <= 270.33;\n```\n\nThis SQL query will return the native countries where the total hours worked per week is at most 270.33. The `GROUP BY` clause groups the rows by the `nativecountry` column, and the `HAVING` clause filters the groups based on the condition specified.","cost":0.0000618,"response_parsed":"SELECT nativecountry \nFROM adultCensus \nGROUP BY nativecountry \nHAVING SUM(hoursperweek) <= 270.33;","time":0.458039999}}
+{"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":"```sql\nSELECT relationship \nFROM adultCensus \nWHERE hoursperweek \/ 52 >= 36.84;\n```\n\nThis SQL query will return the relationship(s) where the average hours worked per week (`hoursperweek`) is at least 36.84 hours. The division by 52 is to convert the hours worked per week to the average hours worked per year, assuming a 52-week year.","cost":0.0000606,"response_parsed":"SELECT relationship \nFROM adultCensus \nWHERE hoursperweek \/ 52 >= 36.84;","time":0.7618021965}}
+{"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":"```sql\nSELECT relationship \nFROM adultCensus \nWHERE hoursperweek <= 36.84 \nGROUP BY relationship \nHAVING AVG(hoursperweek) <= 36.84;\n```\n\nThis SQL query will return the relationship(s) where the average hours per week is at most 36.84. \n\nHowever, if you want to get the average hours per week for each relationship and then filter the results to include only those with an average of at most 36.84, you can use the following query:\n\n```sql\nSELECT relationship, AVG(hoursperweek) as avg_hours \nFROM adultCensus \nGROUP BY relationship \nHAVING AVG(hoursperweek) <= 36.84;\n```\n\nThis query will return the relationship(s) and their corresponding average hours per week, but only for those with an average of at most 36.84.","cost":0.000079,"response_parsed":"SELECT relationship, AVG(hoursperweek) as avg_hours \nFROM adultCensus \nGROUP BY relationship \nHAVING AVG(hoursperweek) <= 36.84;","time":0.5526659489}}
+{"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":"```sql\nSELECT relationship \nFROM adultCensus \nGROUP BY relationship \nHAVING SUM(hoursperweek) >= 162.2;\n```\n\nThis SQL query will return the relationship(s) where the sum of hoursperweek is at least 162.2 in the adultCensus table. The GROUP BY clause groups the rows by the relationship column, and the HAVING clause filters the groups to only include those where the sum of hoursperweek is at least 162.2.","cost":0.0000638,"response_parsed":"SELECT relationship \nFROM adultCensus \nGROUP BY relationship \nHAVING SUM(hoursperweek) >= 162.2;","time":0.4527699947}}
+{"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":"```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) <= 162.2;\n```\n\nThis SQL query will return the relationship(s) where the sum of hoursperweek is at most 162.2 in the adultCensus table. The GROUP BY clause groups the rows by the relationship column, and the HAVING clause filters the groups based on the condition that the sum of hoursperweek is at most 162.2.","cost":0.0000638,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) <= 162.2;","time":0.6166038513}}
+{"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(capshape) >= 5;\n```\n\nThis SQL query will return all the unique `capshape` values from the `mushrooms` table that have at least 5 records. The `GROUP BY` clause groups the rows by the `capshape` column, and the `HAVING` clause filters the groups to only include those with a count of 5 or more.","cost":0.0000618,"response_parsed":"SELECT capshape \nFROM mushrooms \nGROUP BY capshape \nHAVING COUNT(capshape) >= 5;","time":0.4217960835}}
+{"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":"```sql\nSELECT capshape\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(capshape) <= 5;\n```\n\nThis SQL query will return all the unique `capshape` values from the `mushrooms` table that have at most 5 records. The `GROUP BY` clause groups the rows by the `capshape` column, and the `HAVING` clause filters the groups to only include those with 5 or fewer records.","cost":0.0000614,"response_parsed":"SELECT capshape\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(capshape) <= 5;","time":0.4503276348}}
+{"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```\n\nThis SQL query will return all the unique `capsurface` values from the `mushrooms` table where the count of records for each `capsurface` value is 6 or more.","cost":0.0000554,"response_parsed":"SELECT capsurface \nFROM mushrooms \nGROUP BY capsurface \nHAVING COUNT(*) >= 6;","time":0.4548969269}}
+{"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":"```sql\nSELECT DISTINCT capsurface \nFROM mushrooms \nWHERE capshape IN (\n  SELECT capshape \n  FROM mushrooms \n  GROUP BY capshape \n  HAVING COUNT(*) <= 6\n);\n```\n\nThis SQL query works as follows:\n\n1. It selects the distinct `capsurface` values from the `mushrooms` table.\n2. It filters these values based on the `capshape` values that appear at most 6 times in the `mushrooms` table.\n3. It uses a subquery to group the `capshape` values and count their occurrences.\n4. It uses the `HAVING` clause to filter the groups based on the count being less than or equal to 6.\n5. It selects the distinct `capsurface` values that correspond to these filtered `capshape` values.","cost":0.0000764,"response_parsed":"SELECT DISTINCT capsurface \nFROM mushrooms \nWHERE capshape IN (\n  SELECT capshape \n  FROM mushrooms \n  GROUP BY capshape \n  HAVING COUNT(*) <= 6\n);","time":0.7258522511}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(class) >= 10;\n```\n\nThis SQL query will return all the classes from the `mushrooms` table that have at least 10 records. The `GROUP BY` clause groups the rows by the `class` column, and the `HAVING` clause filters the groups to only include those with 10 or more records.","cost":0.0000594,"response_parsed":"SELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(class) >= 10;","time":0.3767988682}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(*) <= 10;\n```\n\nThis SQL query will return all the classes from the `mushrooms` table that have 10 or fewer records. The `GROUP BY` clause groups the rows by the `class` column, and the `HAVING COUNT(*) <= 10` clause filters the groups to only include those with 10 or fewer records.","cost":0.0000602,"response_parsed":"SELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(*) <= 10;","time":0.4107835293}}
+{"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":"```sql\nSELECT DISTINCT workclass \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique workclass values from the `adultCensus` table. \n\nHowever, if you want to get the workclass with all the maritalstatus in the table, you should use the following query:\n\n```sql\nSELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING COUNT(DISTINCT maritalstatus) = (SELECT COUNT(DISTINCT maritalstatus) FROM adultCensus);\n```\n\nThis query will return the workclass that has all the unique maritalstatus values in the `adultCensus` table. \n\nNote: The above query assumes that you want to get the workclass that has all the unique maritalstatus values. If you want to get the workclass that has all the maritalstatus values (not necessarily unique), you should use the following query:\n\n```sql\nSELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING COUNT(DISTINCT maritalstatus) = (SELECT COUNT(maritalstatus) FROM adultCensus);\n```","cost":0.0000868,"response_parsed":"SELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING COUNT(DISTINCT maritalstatus) = (SELECT COUNT(maritalstatus) FROM adultCensus);","time":0.8209447861}}
+{"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":"```sql\nSELECT DISTINCT workclass \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique workclass values from the `adultCensus` table. \n\nHowever, if you want to get the workclass with all the race in the table, you should use the following query:\n\n```sql\nSELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING COUNT(DISTINCT race) = (SELECT COUNT(DISTINCT race) FROM adultCensus);\n```\n\nThis query will return the workclass that has all the different races in the `adultCensus` table. \n\nNote: If there are multiple workclasses that have all the different races, this query will return all of them.","cost":0.000072,"response_parsed":"SELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING COUNT(DISTINCT race) = (SELECT COUNT(DISTINCT race) FROM adultCensus);","time":0.4896967411}}
+{"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":"```sql\nSELECT DISTINCT workclass \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique workclass values from the `adultCensus` table. \n\nHowever, if you want to get the workclass for each sex, you can use the following query:\n\n```sql\nSELECT workclass, sex \nFROM adultCensus;\n```\n\nThis query will return all the workclass values along with the corresponding sex for each row in the `adultCensus` table. \n\nIf you want to get the workclass for each unique sex, you can use the following query:\n\n```sql\nSELECT workclass, sex \nFROM adultCensus \nGROUP BY sex;\n```\n\nThis query will return all the unique workclass values for each unique sex in the `adultCensus` table.","cost":0.000075,"response_parsed":"SELECT workclass, sex \nFROM adultCensus \nGROUP BY sex;","time":0.5835609436}}
+{"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":"```sql\nSELECT DISTINCT workclass \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique workclass values from the `adultCensus` table. \n\nHowever, if you want to get the workclass with all the nativecountry, you should use the following query:\n\n```sql\nSELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING COUNT(DISTINCT nativecountry) = (SELECT COUNT(DISTINCT nativecountry) FROM adultCensus);\n```\n\nThis query will return the workclass that has all the native countries present in the `adultCensus` table. If there are multiple workclasses with the same set of native countries, this query will return all of them.","cost":0.000072,"response_parsed":"SELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING COUNT(DISTINCT nativecountry) = (SELECT COUNT(DISTINCT nativecountry) FROM adultCensus);","time":0.8324370384}}
+{"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":"```sql\nSELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING SUM(CAST(REPLACE(income, '$', '') AS REAL)) = (SELECT SUM(CAST(REPLACE(income, '$', '') AS REAL)) \n                                                        FROM adultCensus \n                                                        GROUP BY workclass \n                                                        ORDER BY SUM(CAST(REPLACE(income, '$', '') AS REAL)) DESC \n                                                        LIMIT 1);\n```\n\nThis SQL query works as follows:\n\n1. It selects the `workclass` column from the `adultCensus` table.\n2. It groups the results by `workclass`.\n3. It uses the `HAVING` clause to filter the results to only include `workclass` values where the total income is equal to the maximum total income across all `workclass` values.\n4. The subquery in the `HAVING` clause calculates the maximum total income across all `workclass` values.","cost":0.0000808,"response_parsed":"SELECT workclass \nFROM adultCensus \nGROUP BY workclass \nHAVING SUM(CAST(REPLACE(income, '$', '') AS REAL)) = (SELECT SUM(CAST(REPLACE(income, '$', '') AS REAL)) \n                                                        FROM adultCensus \n                                                        GROUP BY workclass \n                                                        ORDER BY SUM(CAST(REPLACE(income, '$', '') AS REAL)) DESC \n                                                        LIMIT 1);","time":1.043109417}}
+{"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":"```sql\nSELECT education, maritalstatus \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique combinations of education and maritalstatus from the adultCensus table. If you want to see all the rows with all the maritalstatus for each education, you can use the following query:\n\n```sql\nSELECT education, maritalstatus \nFROM adultCensus;\n```\n\nHowever, if you want to see all the unique education with all the maritalstatus, you can use the following query:\n\n```sql\nSELECT DISTINCT education, maritalstatus \nFROM adultCensus;\n```\n\nThis query will return all the unique education with all the maritalstatus from the adultCensus table.","cost":0.00007,"response_parsed":"SELECT DISTINCT education, maritalstatus \nFROM adultCensus;","time":0.6792662144}}
+{"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":"```sql\nSELECT education, relationship \nFROM adultCensus;\n```\n\nThis SQL query will fetch all the education and relationship from the `adultCensus` table. \n\nHowever, if you want to get all the education with all the relationship in the table, you can use the following query:\n\n```sql\nSELECT education, relationship \nFROM adultCensus\nGROUP BY education;\n```\n\nThis query will group the results by education and return all the unique relationships for each education. \n\nIf you want to get all the education with all the unique relationships in the table, you can use the following query:\n\n```sql\nSELECT DISTINCT education, relationship \nFROM adultCensus;\n```\n\nThis query will return all the unique education and relationship from the `adultCensus` table. \n\nNote: The `DISTINCT` keyword is used to eliminate duplicate rows from the result set.","cost":0.0000776,"response_parsed":"SELECT DISTINCT education, relationship \nFROM adultCensus;","time":0.5758764744}}
+{"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":"```sql\nSELECT education \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique education values from the `adultCensus` table. If you want to see all the education values along with the corresponding race, you can use the following query:\n\n```sql\nSELECT education, race \nFROM adultCensus;\n```\n\nThis query will return all the education values and the corresponding race values from the `adultCensus` table.","cost":0.0000604,"response_parsed":"SELECT education, race \nFROM adultCensus;","time":0.4765267372}}
+{"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":"```sql\nSELECT education, sex \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique combinations of education and sex from the `adultCensus` table. If you want to see all the rows with different education and sex, you can use the following query:\n\n```sql\nSELECT * \nFROM adultCensus;\n```\n\nHowever, if you want to see the unique combinations of education with all the sex, you can use the following query:\n\n```sql\nSELECT education, sex \nFROM adultCensus \nGROUP BY education;\n```\n\nThis query will return all the unique education with all the sex.","cost":0.0000676,"response_parsed":"SELECT education, sex \nFROM adultCensus \nGROUP BY education;","time":0.6295843124}}
+{"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":"```sql\nSELECT education, income \nFROM adultCensus;\n```\n\nThis SQL query will return all the education levels along with their corresponding income levels from the `adultCensus` table.","cost":0.00005,"response_parsed":"SELECT education, income \nFROM adultCensus;","time":0.3088440895}}
+{"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":"```sql\nSELECT DISTINCT maritalstatus \nFROM adultCensus \nWHERE race IS NOT NULL;\n```\n\nThis SQL query will return all the unique marital statuses from the `adultCensus` table where the `race` column is not null. The `DISTINCT` keyword is used to return only unique values.","cost":0.000055,"response_parsed":"SELECT DISTINCT maritalstatus \nFROM adultCensus \nWHERE race IS NOT NULL;","time":0.4037718773}}
+{"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":"```sql\nSELECT DISTINCT maritalstatus, sex \nFROM adultCensus;\n```\n\nThis SQL query will return all unique combinations of `maritalstatus` and `sex` from the `adultCensus` table.","cost":0.0000512,"response_parsed":"SELECT DISTINCT maritalstatus, sex \nFROM adultCensus;","time":0.3539385796}}
+{"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":"```sql\nSELECT maritalstatus, income \nFROM adultCensus;\n```\n\nThis SQL query will return all the rows from the `adultCensus` table, including the `maritalstatus` and `income` columns. \n\nHowever, if you want to get all the unique `maritalstatus` with all the corresponding `income`, you can use the following query:\n\n```sql\nSELECT DISTINCT maritalstatus, income \nFROM adultCensus;\n```\n\nThis query will return all the unique `maritalstatus` values with all the corresponding `income` values.","cost":0.0000654,"response_parsed":"SELECT DISTINCT maritalstatus, income \nFROM adultCensus;","time":0.7661428452}}
+{"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":"```sql\nSELECT occupation \nFROM adultCensus \nGROUP BY occupation;\n```\n\nHowever, this SQL query will return all occupations in the table. If you want to get all occupations with all races, you can use the following query:\n\n```sql\nSELECT occupation \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return all unique occupations in the table. If you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever, if you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nIf you want to get the count of each occupation with all races, you can use the following query:\n\n```sql\nSELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis query will return the count of each occupation in the table. \n\nHowever,","cost":0.0004516,"response_parsed":"SELECT occupation, COUNT(*) as count \nFROM adultCensus \nGROUP BY occupation;","time":4.8696746826}}
+{"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":"```sql\nSELECT occupation \nFROM adultCensus \nGROUP BY occupation;\n```\n\nThis SQL query will return all the unique occupations in the `adultCensus` table. \n\nHowever, if you want to see all the occupations along with the different sexes for each occupation, you can use the following query:\n\n```sql\nSELECT occupation, sex \nFROM adultCensus \nGROUP BY occupation, sex;\n```\n\nThis query will return all the unique combinations of occupation and sex in the `adultCensus` table.","cost":0.000063,"response_parsed":"SELECT occupation, sex \nFROM adultCensus \nGROUP BY occupation, sex;","time":0.5439841747}}
+{"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":"```sql\nSELECT occupation \nFROM adultCensus \nORDER BY income DESC;\n```\n\nThis SQL query will return all the occupations from the `adultCensus` table, ordered by their corresponding income in descending order. The occupation with the highest income will be at the top of the list.","cost":0.000054,"response_parsed":"SELECT occupation \nFROM adultCensus \nORDER BY income DESC;","time":0.4706325531}}
+{"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":"```sql\nSELECT relationship \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique relationships in the `adultCensus` table. If you want to see all the relationships with each race, you can use the following query:\n\n```sql\nSELECT race, relationship \nFROM adultCensus \nGROUP BY race, relationship;\n```\n\nThis query will return all the unique combinations of `race` and `relationship` in the `adultCensus` table.","cost":0.0000614,"response_parsed":"SELECT race, relationship \nFROM adultCensus \nGROUP BY race, relationship;","time":0.5540280342}}
+{"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":"```sql\nSELECT DISTINCT sex \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique values in the 'sex' column of the 'adultCensus' table, which represents the different relationships with all the sex in the table.","cost":0.0000524,"response_parsed":"SELECT DISTINCT sex \nFROM adultCensus;","time":0.3800501823}}
+{"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":"```sql\nSELECT relationship, income \nFROM adultCensus;\n```\n\nThis SQL query will return all the rows from the `adultCensus` table, including the `relationship` and `income` columns. The `relationship` column will show the relationship with all the income in the table.","cost":0.0000542,"response_parsed":"SELECT relationship, income \nFROM adultCensus;","time":0.7350609303}}
+{"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":"```sql\nSELECT \n  race, \n  sex \nFROM \n  adultCensus;\n```\n\nThis SQL query will return all the unique combinations of `race` and `sex` from the `adultCensus` table. If you want to get all the rows with all the sex for each race, you can use the following query:\n\n```sql\nSELECT \n  race, \n  sex \nFROM \n  adultCensus\nORDER BY \n  race;\n```\n\nThis query will return all the rows with all the sex for each race, ordered by the `race` column.","cost":0.0000662,"response_parsed":"SELECT \n  race, \n  sex \nFROM \n  adultCensus\nORDER BY \n  race;","time":0.4487411976}}
+{"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":"```sql\nSELECT race \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique values in the \"race\" column from the \"adultCensus\" table. \n\nIf you want to see all the rows with their corresponding native country, you can use the following query:\n\n```sql\nSELECT * \nFROM adultCensus;\n```\n\nThis query will return all the rows from the \"adultCensus\" table, including the \"race\" and \"nativecountry\" columns.","cost":0.0000624,"response_parsed":"SELECT * \nFROM adultCensus;","time":0.4503619671}}
+{"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":"```sql\nSELECT race, income \nFROM adultCensus;\n```\n\nThis SQL query will return all the rows from the `adultCensus` table, including the `race` and `income` columns.","cost":0.0000508,"response_parsed":"SELECT race, income \nFROM adultCensus;","time":0.290874958}}
+{"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":"```sql\nSELECT sex \nFROM adultCensus \nWHERE income = 'All';\n```\n\nThis SQL query will return the `sex` column from the `adultCensus` table where the `income` is 'All'.","cost":0.0000514,"response_parsed":"SELECT sex \nFROM adultCensus \nWHERE income = 'All';","time":0.4026143551}}
+{"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":"```sql\nSELECT nativecountry \nFROM adultCensus;\n```\n\nThis SQL query will return all the unique native countries from the `adultCensus` table. If you want to include all the income for each native country, you can use the following query:\n\n```sql\nSELECT nativecountry, income \nFROM adultCensus;\n```\n\nThis query will return all the native countries and their corresponding income. If you want to remove duplicate rows (i.e., if a native country appears multiple times with the same income), you can use the following query:\n\n```sql\nSELECT DISTINCT nativecountry, income \nFROM adultCensus;\n```\n\nThis query will return all the unique native countries and their corresponding income.","cost":0.000071,"response_parsed":"SELECT DISTINCT nativecountry, income \nFROM adultCensus;","time":0.6780216694}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nWHERE capsurface = 'all';\n```\n\nThis SQL query will return all the classes of mushrooms that have an 'all' capsurface.","cost":0.0000494,"response_parsed":"SELECT class \nFROM mushrooms \nWHERE capsurface = 'all';","time":0.3466324806}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms);\n```\n\nThis SQL query will return all the classes in the `mushrooms` table where every class has all the unique cap colors present in the table. \n\nHere's how it works:\n\n- `GROUP BY class` groups the rows by the `class` column.\n- `HAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms)` filters the groups to only include those where every unique cap color is present. This is done by comparing the count of unique cap colors for each class to the total count of unique cap colors in the table.","cost":0.000073,"response_parsed":"SELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(DISTINCT capcolor) = (SELECT COUNT(DISTINCT capcolor) FROM mushrooms);","time":0.6953732967}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nWHERE bruises = 'yes';\n```\n\nThis SQL query will return all the classes of mushrooms that have bruises. The `WHERE` clause filters the results to only include rows where the `bruises` column is equal to `'yes'`.","cost":0.0000532,"response_parsed":"SELECT class \nFROM mushrooms \nWHERE bruises = 'yes';","time":0.398973465}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nWHERE gillattachment = 'attached';\n```\n\nThis SQL query will return all the classes of mushrooms that have attached gills. If you want to get all classes regardless of the gill attachment type, you can remove the `WHERE` clause:\n\n```sql\nSELECT class \nFROM mushrooms;\n```","cost":0.000056,"response_parsed":"SELECT class \nFROM mushrooms;","time":0.4634549618}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nWHERE gillspacing = 'close';\n```\n\nThis SQL query will return all the classes of mushrooms where the gill spacing is 'close'. If you want to fetch all classes with any gill spacing, you can use the following query:\n\n```sql\nSELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms);\n```\n\nThis query will return all classes of mushrooms where all the gill spacings are present.","cost":0.0000652,"response_parsed":"SELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms);","time":0.5540809631}}
+{"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":"```sql\nSELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms);\n```\n\nThis SQL query will return all the classes in the `mushrooms` table where every instance of that class has a value in the `gillsize` column. \n\nHere's how it works:\n\n- The subquery `(SELECT COUNT(gillsize) FROM mushrooms)` counts the total number of unique `gillsize` values in the `mushrooms` table.\n- The `HAVING COUNT(gillsize) = ...` clause then selects only the classes where every instance has a value in the `gillsize` column, i.e., where the count of `gillsize` values for that class is equal to the total count of unique `gillsize` values.","cost":0.000077,"response_parsed":"SELECT class \nFROM mushrooms \nGROUP BY class \nHAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms);","time":0.6082992554}}
+{"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":"```sql\nSELECT DISTINCT capshape \nFROM mushrooms \nWHERE capsurface = 'all';\n```\n\nThis SQL query will return all the unique capshapes from the `mushrooms` table where the capsurface is 'all'. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000542,"response_parsed":"SELECT DISTINCT capshape \nFROM mushrooms \nWHERE capsurface = 'all';","time":0.4252977371}}
+{"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":"```sql\nSELECT capshape \nFROM mushrooms \nGROUP BY capshape;\n```\n\nHowever, if you want to fetch all the capcolor for each capshape, you can use the following SQL code:\n\n```sql\nSELECT m1.capshape, m2.capcolor \nFROM mushrooms m1 \nJOIN mushrooms m2 ON m1.capshape = m2.capshape \nGROUP BY m1.capshape, m2.capcolor;\n```\n\nThis SQL code will return all the capcolor for each capshape in the mushrooms table. \n\nIf you want to get the capcolor for each capshape in a single row, you can use the following SQL code:\n\n```sql\nSELECT capshape, GROUP_CONCAT(capcolor) \nFROM mushrooms \nGROUP BY capshape;\n```\n\nThis SQL code will return a single row for each capshape with all the capcolor in a comma-separated list.","cost":0.0000782,"response_parsed":"SELECT capshape, GROUP_CONCAT(capcolor) \nFROM mushrooms \nGROUP BY capshape;","time":0.6368739605}}
+{"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":"```sql\nSELECT capshape \nFROM mushrooms \nWHERE bruises = 'yes';\n```\n\nThis SQL query will return all the capshapes from the `mushrooms` table where the `bruises` column is equal to 'yes'.","cost":0.0000516,"response_parsed":"SELECT capshape \nFROM mushrooms \nWHERE bruises = 'yes';","time":0.5140247345}}
+{"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":"```sql\nSELECT DISTINCT capshape \nFROM mushrooms \nWHERE gillattachment IS NOT NULL;\n```\n\nThis SQL query will return all the unique capshapes from the `mushrooms` table where the `gillattachment` is not null. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000552,"response_parsed":"SELECT DISTINCT capshape \nFROM mushrooms \nWHERE gillattachment IS NOT NULL;","time":0.4552731514}}
+{"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":"```sql\nSELECT DISTINCT capshape \nFROM mushrooms \nWHERE gillspacing IS NOT NULL;\n```\n\nThis SQL query will return all the unique capshapes from the `mushrooms` table where the `gillspacing` is not null. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000552,"response_parsed":"SELECT DISTINCT capshape \nFROM mushrooms \nWHERE gillspacing IS NOT NULL;","time":0.5455887318}}
+{"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":"```sql\nSELECT DISTINCT capshape \nFROM mushrooms;\n```\n\nThis SQL query will return all the unique capshape values from the \"mushrooms\" table. \n\nHowever, if you want to see the capshape values along with all the gillsize values, you can use the following query:\n\n```sql\nSELECT capshape, gillsize \nFROM mushrooms;\n```\n\nThis query will return all the capshape values along with all the gillsize values from the \"mushrooms\" table.","cost":0.000063,"response_parsed":"SELECT capshape, gillsize \nFROM mushrooms;","time":0.4723160267}}
+{"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":"```sql\nSELECT capsurface \nFROM mushrooms \nWHERE bruises = 'yes';\n```\n\nThis SQL query will return the `capsurface` values from the `mushrooms` table where the `bruises` column is equal to `'yes'`.","cost":0.0000522,"response_parsed":"SELECT capsurface \nFROM mushrooms \nWHERE bruises = 'yes';","time":0.4338123798}}
+{"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":"```sql\nSELECT capsurface \nFROM mushrooms \nWHERE gillattachment = 'attached';\n```\n\nThis SQL query will return all the capsurface values from the 'mushrooms' table where the gillattachment is 'attached'.","cost":0.0000518,"response_parsed":"SELECT capsurface \nFROM mushrooms \nWHERE gillattachment = 'attached';","time":0.6567034721}}
+{"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":"```sql\nSELECT capsurface \nFROM mushrooms \nWHERE gillspacing IN (SELECT gillspacing FROM mushrooms);\n```\n\nThis SQL query will return all the capsurface values from the 'mushrooms' table where the gillspacing is present in the table. \n\nHowever, if you want to fetch all the capsurface values along with their corresponding gillspacing, you can use the following query:\n\n```sql\nSELECT capsurface, gillspacing \nFROM mushrooms \nWHERE gillspacing IN (SELECT gillspacing FROM mushrooms);\n```\n\nThis query will return all the capsurface values and their corresponding gillspacing values from the 'mushrooms' table.","cost":0.0000696,"response_parsed":"SELECT capsurface, gillspacing \nFROM mushrooms \nWHERE gillspacing IN (SELECT gillspacing FROM mushrooms);","time":0.5276417732}}
+{"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":"```sql\nSELECT capsurface \nFROM mushrooms \nGROUP BY capsurface \nHAVING capsurface IN (SELECT gillsize \n                        FROM mushrooms \n                        GROUP BY gillsize);\n```\n\nThis SQL query will return all the unique `capsurface` values from the `mushrooms` table where each `capsurface` value is associated with at least one `gillsize` value. \n\nHowever, if you want to get the `capsurface` values along with their corresponding `gillsize` values, you can use the following query:\n\n```sql\nSELECT m1.capsurface, m2.gillsize \nFROM mushrooms m1 \nJOIN mushrooms m2 \nON m1.capsurface = m2.gillsize;\n```\n\nThis query will return all the `capsurface` values along with their corresponding `gillsize` values. If there are multiple `gillsize` values associated with a single `capsurface` value, this query will return all the combinations.","cost":0.000083,"response_parsed":"SELECT m1.capsurface, m2.gillsize \nFROM mushrooms m1 \nJOIN mushrooms m2 \nON m1.capsurface = m2.gillsize;","time":0.7458548546}}
+{"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":"```sql\nSELECT capcolor \nFROM mushrooms \nWHERE bruises = 'yes';\n```\n\nThis SQL query will return the capcolor of all the mushrooms that have bruises in the table.","cost":0.0000494,"response_parsed":"SELECT capcolor \nFROM mushrooms \nWHERE bruises = 'yes';","time":0.3104948997}}
+{"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":"```sql\nSELECT DISTINCT capcolor \nFROM mushrooms \nWHERE gillattachment = 'attached';\n```\n\nThis SQL query will return all the unique cap colors of mushrooms with attached gill attachments.","cost":0.0000502,"response_parsed":"SELECT DISTINCT capcolor \nFROM mushrooms \nWHERE gillattachment = 'attached';","time":0.4098358154}}
+{"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":"```sql\nSELECT \n  capcolor, \n  gillspacing\nFROM \n  mushrooms\n```\n\nThis SQL query will return all the capcolor values along with their corresponding gillspacing values from the \"mushrooms\" table.","cost":0.0000522,"response_parsed":"SELECT \n  capcolor, \n  gillspacing\nFROM \n  mushrooms","time":0.4296441078}}
+{"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":"```sql\nSELECT DISTINCT capcolor \nFROM mushrooms;\n```\n\nThis SQL query will return all the unique capcolors from the 'mushrooms' table. \n\nHowever, if you want to see the capcolors along with their corresponding gillsizes, you can use the following query:\n\n```sql\nSELECT capcolor, gillsize \nFROM mushrooms;\n```\n\nThis query will return all the capcolors and their corresponding gillsizes from the 'mushrooms' table.","cost":0.0000618,"response_parsed":"SELECT capcolor, gillsize \nFROM mushrooms;","time":0.5495815277}}
+{"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":"```sql\nSELECT bruises \nFROM mushrooms \nWHERE gillattachment = 'attached';\n```\n\nThis SQL query will return all the bruises from the 'mushrooms' table where the gillattachment is 'attached'.","cost":0.000051,"response_parsed":"SELECT bruises \nFROM mushrooms \nWHERE gillattachment = 'attached';","time":0.3675000668}}
+{"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":"```sql\nSELECT bruises \nFROM mushrooms \nWHERE gillspacing = 'close';\n```\n\nThis SQL query will return all the rows from the `mushrooms` table where the `gillspacing` is 'close'. The `SELECT bruises` statement will then return the corresponding `bruises` value for each of these rows.","cost":0.0000558,"response_parsed":"SELECT bruises \nFROM mushrooms \nWHERE gillspacing = 'close';","time":0.4126396179}}
+{"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":"```sql\nSELECT bruises \nFROM mushrooms \nGROUP BY bruises \nHAVING gillsize = 'anomalous';\n```\n\nThis SQL query will return all the `bruises` from the `mushrooms` table where the `gillsize` is 'anomalous'. The `GROUP BY` clause groups the results by `bruises`, and the `HAVING` clause filters the results to only include groups where the `gillsize` is 'anomalous'.","cost":0.000062,"response_parsed":"SELECT bruises \nFROM mushrooms \nGROUP BY bruises \nHAVING gillsize = 'anomalous';","time":0.5510261059}}
+{"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":"```sql\nSELECT odor \nFROM mushrooms \nWHERE gillattachment = 'attached';\n```\n\nThis SQL query will return all the odor values from the `mushrooms` table where the `gillattachment` is 'attached'.","cost":0.0000516,"response_parsed":"SELECT odor \nFROM mushrooms \nWHERE gillattachment = 'attached';","time":0.4237999916}}
+{"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":"```sql\nSELECT odor \nFROM mushrooms \nWHERE gillspacing = 'close';\n```\n\nThis SQL query will return all the odor values from the \"mushrooms\" table where the gillspacing is 'close'.","cost":0.0000512,"response_parsed":"SELECT odor \nFROM mushrooms \nWHERE gillspacing = 'close';","time":0.4039511681}}
+{"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":"```sql\nSELECT odor \nFROM mushrooms \nGROUP BY odor \nHAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms);\n```\n\nThis SQL query will return all the unique `odor` values from the `mushrooms` table where the count of `gillsize` is equal to the total count of `gillsize` in the table. This is because we are grouping by `odor` and checking if the count of `gillsize` for each group is equal to the total count of `gillsize` in the table. If it is, then it means that all the `gillsize` values are present for that `odor` value.","cost":0.0000708,"response_parsed":"SELECT odor \nFROM mushrooms \nGROUP BY odor \nHAVING COUNT(gillsize) = (SELECT COUNT(gillsize) FROM mushrooms);","time":0.8240926266}}
+{"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":"```sql\nSELECT \n  gillattachment, \n  gillspacing \nFROM \n  mushrooms;\n```\n\nThis SQL query will return all the rows from the `mushrooms` table, including the `gillattachment` and `gillspacing` columns.","cost":0.0000536,"response_parsed":"SELECT \n  gillattachment, \n  gillspacing \nFROM \n  mushrooms;","time":0.3821702003}}
+{"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":"```sql\nSELECT gillattachment, gillsize \nFROM mushrooms \nGROUP BY gillattachment;\n```\n\nThis SQL query will return all the unique combinations of `gillattachment` and `gillsize` from the `mushrooms` table. If you want to see all the `gillsize` for each `gillattachment`, you can use the following query:\n\n```sql\nSELECT gillattachment, gillsize \nFROM mushrooms \nGROUP BY gillattachment, gillsize;\n```\n\nHowever, if you want to see all the `gillsize` for each `gillattachment` without grouping by `gillsize`, you can use the following query:\n\n```sql\nSELECT gillattachment, gillsize \nFROM mushrooms \nORDER BY gillattachment;\n```","cost":0.0000754,"response_parsed":"SELECT gillattachment, gillsize \nFROM mushrooms \nORDER BY gillattachment;","time":0.6993045807}}
+{"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":"```sql\nSELECT gillspacing \nFROM mushrooms;\n```\n\nThis SQL query will return all the gillspacing values from the \"mushrooms\" table. \n\nIf you want to see the gillspacing along with all the gillsize in the table, you can use the following query:\n\n```sql\nSELECT gillspacing, gillsize \nFROM mushrooms;\n```\n\nThis query will return all the gillspacing and gillsize values from the \"mushrooms\" table.","cost":0.0000628,"response_parsed":"SELECT gillspacing, gillsize \nFROM mushrooms;","time":0.4274129868}}
+{"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":"```sql\nSELECT gillspacing \nFROM mushrooms \nGROUP BY gillspacing;\n```\n\nHowever, if you want to fetch the gillspacing along with all the gillcolor for each gillspacing, you can use the following SQL query:\n\n```sql\nSELECT gillspacing, gillcolor \nFROM mushrooms \nGROUP BY gillspacing, gillcolor;\n```\n\nThis query will return all the unique combinations of gillspacing and gillcolor in the `mushrooms` table.","cost":0.0000632,"response_parsed":"SELECT gillspacing, gillcolor \nFROM mushrooms \nGROUP BY gillspacing, gillcolor;","time":0.578561306}}
+{"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 *\nFROM adultCensus\nORDER BY hoursperweek ASC;\n```\n\nThis SQL query will fetch all data from the `adultCensus` table and order it in ascending order based on the `hoursperweek` column.","cost":0.000053,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY hoursperweek ASC;","time":0.4914772511}}
+{"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":"```sql\nSELECT *\nFROM adultCensus\nORDER BY hoursperweek DESC;\n```\n\nThis SQL query will fetch all data from the `adultCensus` table and order it in descending order based on the `hoursperweek` column.","cost":0.000053,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY hoursperweek DESC;","time":0.3521912098}}
+{"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 *\nFROM adultCensus\nORDER BY income ASC;\n```\n\nThis SQL query will fetch all data from the `adultCensus` table and order it by the `income` column in ascending order.","cost":0.0000516,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY income ASC;","time":0.3875000477}}
+{"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 *\nFROM adultCensus\nORDER BY income DESC;\n```\n\nThis SQL query will fetch all data from the `adultCensus` table and order it by the `income` column in descending order. The `DESC` keyword is used to specify the descending order.","cost":0.0000542,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY income DESC;","time":0.3550052643}}
+{"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```\n\nThis SQL query will return the `maritalstatus` column from the `adultCensus` table, ordered in ascending order.","cost":0.0000516,"response_parsed":"SELECT maritalstatus \nFROM adultCensus \nORDER BY maritalstatus ASC;","time":0.3364162445}}
+{"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":"```sql\nSELECT maritalstatus \nFROM adultCensus \nORDER BY maritalstatus DESC;\n```\n\nThis SQL query will return the `maritalstatus` column from the `adultCensus` table, ordered in descending order. \n\nHowever, it seems like there might be a mistake in the database schema provided. The table name is `adultCensus` but the question is asking about the `mushrooms` table. If that's the case, you should replace `adultCensus` with `mushrooms` in the SQL query:\n\n```sql\nSELECT maritalstatus \nFROM adultCensus \nORDER BY maritalstatus DESC;\n```\n\nshould be\n\n```sql\nSELECT maritalstatus \nFROM mushrooms \nORDER BY maritalstatus DESC;\n```\n\nBut since there is no `maritalstatus` column in the `mushrooms` table, this query will return an error. If you want to order the `maritalstatus` column in the `adultCensus` table, the first query will work.","cost":0.0000836,"response_parsed":"SELECT maritalstatus \nFROM mushrooms \nORDER BY maritalstatus DESC;","time":0.8875257969}}
+{"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":"```sql\nSELECT relationship \nFROM adultCensus \nORDER BY relationship ASC;\n```\n\nThis SQL query will return the 'relationship' column from the 'adultCensus' table in ascending order.","cost":0.0000502,"response_parsed":"SELECT relationship \nFROM adultCensus \nORDER BY relationship ASC;","time":0.2846405506}}
+{"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":"```sql\nSELECT relationship \nFROM adultCensus \nORDER BY relationship DESC;\n```\n\nThis SQL query will return the relationship column from the adultCensus table in descending order.","cost":0.0000494,"response_parsed":"SELECT relationship \nFROM adultCensus \nORDER BY relationship DESC;","time":0.4026949406}}
+{"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 * \nFROM mushrooms \nORDER BY class ASC;\n```\n\nThis SQL query will fetch all data from the `mushrooms` table and order it by the `class` column in ascending order.","cost":0.000051,"response_parsed":"SELECT * \nFROM mushrooms \nORDER BY class ASC;","time":0.355587244}}
+{"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":"```sql\nSELECT *\nFROM mushrooms\nORDER BY class DESC;\n```\n\nThis SQL query will fetch all data from the `mushrooms` table and order it by the `class` column in descending order. The `DESC` keyword is used to specify the descending order.","cost":0.0000534,"response_parsed":"SELECT *\nFROM mushrooms\nORDER BY class DESC;","time":0.4015114307}}
+{"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```\n\nThis SQL query will fetch all data from the `mushrooms` table and order it in ascending order based on the `gillattachment` column.","cost":0.0000522,"response_parsed":"SELECT *\nFROM mushrooms\nORDER BY gillattachment ASC;","time":0.3571743965}}
+{"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":"```sql\nSELECT *\nFROM mushrooms\nORDER BY gillattachment DESC;\n```\n\nThis SQL query will fetch all data from the `mushrooms` table, ordered by the `gillattachment` column in descending order. The `DESC` keyword is used to specify the descending order.","cost":0.0000544,"response_parsed":"SELECT *\nFROM mushrooms\nORDER BY gillattachment DESC;","time":0.4543960094}}
+{"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```\n\nThis SQL query will return the `gillspacing` values from the `mushrooms` table in ascending order.","cost":0.000051,"response_parsed":"SELECT gillspacing \nFROM mushrooms \nORDER BY gillspacing ASC;","time":0.3343639374}}
+{"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":"```sql\nSELECT gillspacing \nFROM mushrooms \nORDER BY gillspacing DESC;\n```\n\nThis SQL query will return the `gillspacing` values from the `mushrooms` table in descending order. If you want to project only the unique `gillspacing` values, you can use the `DISTINCT` keyword:\n\n```sql\nSELECT DISTINCT gillspacing \nFROM mushrooms \nORDER BY gillspacing DESC;\n```","cost":0.00006,"response_parsed":"SELECT DISTINCT gillspacing \nFROM mushrooms \nORDER BY gillspacing DESC;","time":0.508087635}}
+{"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":"```sql\nSELECT capcolor \nFROM mushrooms \nORDER BY capcolor ASC;\n```\n\nThis SQL query will return all the unique cap colors from the `mushrooms` table, ordered in ascending order. If you want to get all the rows with their corresponding cap colors, you can remove the `SELECT capcolor` part and use `*` instead, like this:\n\n```sql\nSELECT * \nFROM mushrooms \nORDER BY capcolor ASC;\n```","cost":0.0000604,"response_parsed":"SELECT * \nFROM mushrooms \nORDER BY capcolor ASC;","time":0.5429899693}}
+{"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```\n\nThis SQL query will return all the unique cap colors from the `mushrooms` table in descending order. If you want to get the top N cap colors, you can use the `LIMIT` clause:\n\n```sql\nSELECT capcolor \nFROM mushrooms \nORDER BY capcolor DESC \nLIMIT N;\n```\n\nReplace `N` with the number of cap colors you want to retrieve.","cost":0.0000612,"response_parsed":"SELECT capcolor \nFROM mushrooms \nORDER BY capcolor DESC \nLIMIT N;","time":0.6134474277}}
+{"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":"```sql\nSELECT DISTINCT sex \nFROM adultCensus;\n```\n\nThis SQL query will return all unique values in the `sex` column from the `adultCensus` table. The `DISTINCT` keyword is used to remove duplicate values.","cost":0.0000514,"response_parsed":"SELECT DISTINCT sex \nFROM adultCensus;","time":0.4699838161}}
+{"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 \nFROM adultCensus;\n```\n\nThis SQL query will return all the values in the `hoursperweek` column from the `adultCensus` table.","cost":0.0000498,"response_parsed":"SELECT hoursperweek \nFROM adultCensus;","time":0.4566962719}}
+{"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 \nFROM adultCensus;\n```\n\nThis SQL code will fetch all unique workclass values from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.0000512,"response_parsed":"SELECT DISTINCT workclass \nFROM adultCensus;","time":0.3767344952}}
+{"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":"```sql\nSELECT DISTINCT maritalstatus \nFROM adultCensus;\n```\n\nThis SQL code will fetch all unique marital statuses from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.000051,"response_parsed":"SELECT DISTINCT maritalstatus \nFROM adultCensus;","time":0.4708945751}}
+{"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 \nFROM adultCensus;\n```\n\nThis SQL query will fetch all the education values from the `adultCensus` table.","cost":0.0000476,"response_parsed":"SELECT education \nFROM adultCensus;","time":0.4111464024}}
+{"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 *\nFROM adultCensus;\n```\n\nThis SQL query will return all rows from the `adultCensus` table. The `SELECT *` statement selects all columns (`*`) from the specified table.","cost":0.0000506,"response_parsed":"SELECT *\nFROM adultCensus;","time":0.3709566593}}
+{"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```\n\nThis SQL code will fetch all unique marital statuses from the `adultCensus` table. The `DISTINCT` keyword is used to return only unique values.","cost":0.000051,"response_parsed":"SELECT DISTINCT maritalstatus \nFROM adultCensus;","time":0.4288966656}}
+{"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 \n  race, \n  nativecountry \nFROM \n  adultCensus;\n```\n\nThis SQL query will return all the values in the `race` and `nativecountry` columns from the `adultCensus` table.","cost":0.000052,"response_parsed":"SELECT \n  race, \n  nativecountry \nFROM \n  adultCensus;","time":0.4919013977}}
+{"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 \n  nativecountry,\n  occupation,\n  race\nFROM \n  adultCensus;\n```\n\nThis SQL query will fetch all the nativecountry, occupation, and race from the adultCensus table in the database.","cost":0.000052,"response_parsed":"SELECT \n  nativecountry,\n  occupation,\n  race\nFROM \n  adultCensus;","time":0.3857042789}}
+{"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 \n    occupation,\n    income,\n    education,\n    race\nFROM \n    adultCensus;\n```\n\nThis SQL query will fetch all the occupation, income, education, and race from the `adultCensus` table.","cost":0.0000526,"response_parsed":"SELECT \n    occupation,\n    income,\n    education,\n    race\nFROM \n    adultCensus;","time":0.6751365662}}
+{"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":"```sql\nSELECT \n  occupation,\n  race,\n  relationship,\n  workclass,\n  maritalstatus\nFROM \n  adultCensus;\n```\n\nThis SQL query will return all the specified columns (`occupation`, `race`, `relationship`, `workclass`, `maritalstatus`) from the `adultCensus` table.","cost":0.0000568,"response_parsed":"SELECT \n  occupation,\n  race,\n  relationship,\n  workclass,\n  maritalstatus\nFROM \n  adultCensus;","time":0.4839549065}}
+{"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":"```sql\nSELECT \n  sex,\n  nativecountry,\n  race,\n  workclass,\n  relationship,\n  education\nFROM \n  adultCensus;\n```\n\nThis SQL query will fetch all the specified columns (`sex`, `nativecountry`, `race`, `workclass`, `relationship`, `education`) from the `adultCensus` table.","cost":0.0000582,"response_parsed":"SELECT \n  sex,\n  nativecountry,\n  race,\n  workclass,\n  relationship,\n  education\nFROM \n  adultCensus;","time":0.4988729954}}
+{"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":"```sql\nSELECT \n  income, \n  education, \n  sex, \n  race, \n  maritalstatus, \n  occupation, \n  relationship\nFROM \n  adultCensus;\n```\n\nThis SQL query will fetch all the specified columns from the `adultCensus` table.","cost":0.000056,"response_parsed":"SELECT \n  income, \n  education, \n  sex, \n  race, \n  maritalstatus, \n  occupation, \n  relationship\nFROM \n  adultCensus;","time":0.4883348942}}
+{"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 \n  maritalstatus, \n  relationship, \n  workclass, \n  sex, \n  nativecountry, \n  hoursperweek, \n  income, \n  education\nFROM \n  adultCensus;\n```\n\nThis SQL query will fetch all the specified columns from the `adultCensus` table in the database.","cost":0.0000594,"response_parsed":"SELECT \n  maritalstatus, \n  relationship, \n  workclass, \n  sex, \n  nativecountry, \n  hoursperweek, \n  income, \n  education\nFROM \n  adultCensus;","time":0.7312254906}}
+{"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":"```sql\nSELECT \n  hoursperweek, \n  race, \n  maritalstatus, \n  sex, \n  relationship, \n  nativecountry, \n  income, \n  occupation, \n  workclass \nFROM adultCensus;\n```\n\nThis SQL query will return all the specified columns from the `adultCensus` table.","cost":0.0000596,"response_parsed":"SELECT \n  hoursperweek, \n  race, \n  maritalstatus, \n  sex, \n  relationship, \n  nativecountry, \n  income, \n  occupation, \n  workclass \nFROM adultCensus;","time":0.3646059036}}
+{"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":"```sql\nSELECT odor \nFROM mushrooms;\n```\n\nThis SQL query will return all the values in the \"odor\" column from the \"mushrooms\" table.","cost":0.0000478,"response_parsed":"SELECT odor \nFROM mushrooms;","time":0.3246922493}}
+{"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 \nFROM mushrooms;\n```\n\nThis SQL query will return all the values in the `gillspacing` column from the `mushrooms` table.","cost":0.000049,"response_parsed":"SELECT gillspacing \nFROM mushrooms;","time":0.3138332367}}
+{"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 capshape \nFROM mushrooms;\n```\n\nThis SQL query will return all the capshape values from the \"mushrooms\" table.","cost":0.0000474,"response_parsed":"SELECT capshape \nFROM mushrooms;","time":0.3456828594}}
+{"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":"```sql\nSELECT * \nFROM mushrooms \nWHERE capsurface IS NOT NULL;\n```\n\nThis SQL query will return all rows from the `mushrooms` table where the `capsurface` column is not null. If you want to see only the `capsurface` column, you can modify the query as follows:\n\n```sql\nSELECT capsurface \nFROM mushrooms \nWHERE capsurface IS NOT NULL;\n```","cost":0.0000578,"response_parsed":"SELECT capsurface \nFROM mushrooms \nWHERE capsurface IS NOT NULL;","time":0.5129580498}}
+{"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":"```sql\nSELECT bruises \nFROM mushrooms;\n```\n\nThis SQL query will return all the values in the \"bruises\" column from the \"mushrooms\" table.","cost":0.000048,"response_parsed":"SELECT bruises \nFROM mushrooms;","time":0.3530035019}}
+{"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```\n\nThis SQL query will return all rows from the \"mushrooms\" table. The `SELECT *` statement is used to select all columns (`*`) from the specified table.","cost":0.000051,"response_parsed":"SELECT * FROM \"mushrooms\";","time":0.398296833}}
+{"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 \nFROM mushrooms;\n```\n\nThis SQL query will return all the values in the `gillspacing` column from the `mushrooms` table.","cost":0.000049,"response_parsed":"SELECT gillspacing \nFROM mushrooms;","time":0.4038381577}}
+{"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 \nFROM mushrooms;\n```\n\nThis SQL query will return all the rows from the `mushrooms` table, selecting the `odor` and `class` columns.","cost":0.0000496,"response_parsed":"SELECT odor, class \nFROM mushrooms;","time":0.2981052399}}
+{"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 \n  capcolor, \n  gillattachment, \n  gillspacing\nFROM \n  mushrooms;\n```\n\nThis SQL code will fetch all the rows from the `mushrooms` table and return the `capcolor`, `gillattachment`, and `gillspacing` columns.","cost":0.0000556,"response_parsed":"SELECT \n  capcolor, \n  gillattachment, \n  gillspacing\nFROM \n  mushrooms;","time":0.4078204632}}
+{"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 \n  capsurface, \n  gillcolor, \n  odor, \n  gillattachment\nFROM \n  mushrooms;\n```\n\nThis SQL query will fetch all the rows from the `mushrooms` table and display the `capsurface`, `gillcolor`, `odor`, and `gillattachment` columns.","cost":0.0000574,"response_parsed":"SELECT \n  capsurface, \n  gillcolor, \n  odor, \n  gillattachment\nFROM \n  mushrooms;","time":0.4547970295}}
+{"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 \n  odor,\n  gillcolor,\n  bruises,\n  gillsize,\n  gillattachment\nFROM \n  mushrooms;\n```\n\nThis SQL query will return all the rows from the `mushrooms` table, selecting the specified columns (`odor`, `gillcolor`, `bruises`, `gillsize`, and `gillattachment`).","cost":0.0000592,"response_parsed":"SELECT \n  odor,\n  gillcolor,\n  bruises,\n  gillsize,\n  gillattachment\nFROM \n  mushrooms;","time":0.5724151134}}
+{"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":"```sql\nSELECT \n  capsurface,\n  class,\n  odor,\n  gillcolor,\n  bruises,\n  capcolor\nFROM \n  mushrooms;\n```\n\nThis SQL query will fetch all the specified columns (`capsurface`, `class`, `odor`, `gillcolor`, `bruises`, `capcolor`) from the `mushrooms` table.","cost":0.0000588,"response_parsed":"SELECT \n  capsurface,\n  class,\n  odor,\n  gillcolor,\n  bruises,\n  capcolor\nFROM \n  mushrooms;","time":0.397613287}}
+{"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":"```sql\nSELECT \n  gillattachment,\n  gillspacing,\n  capshape,\n  class,\n  capsurface,\n  odor,\n  bruises\nFROM \n  mushrooms;\n```\n\nThis SQL query will fetch all the specified columns (`gillattachment`, `gillspacing`, `capshape`, `class`, `capsurface`, `odor`, `bruises`) from the `mushrooms` table.","cost":0.0000616,"response_parsed":"SELECT \n  gillattachment,\n  gillspacing,\n  capshape,\n  class,\n  capsurface,\n  odor,\n  bruises\nFROM \n  mushrooms;","time":0.5195379257}}
+{"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 \n  capcolor, \n  capshape, \n  gillcolor, \n  gillspacing, \n  odor, \n  gillattachment, \n  capsurface, \n  class\nFROM \n  mushrooms;\n```\n\nThis SQL query will return all the specified columns (`capcolor`, `capshape`, `gillcolor`, `gillspacing`, `odor`, `gillattachment`, `capsurface`, `class`) from the `mushrooms` table.","cost":0.0000662,"response_parsed":"SELECT \n  capcolor, \n  capshape, \n  gillcolor, \n  gillspacing, \n  odor, \n  gillattachment, \n  capsurface, \n  class\nFROM \n  mushrooms;","time":0.5971670151}}
+{"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 \n  capcolor, \n  capshape, \n  class, \n  gillcolor, \n  gillspacing, \n  bruises, \n  gillattachment, \n  capsurface, \n  odor\nFROM \n  mushrooms;\n```\n\nThis SQL code will fetch all the specified columns (`capcolor`, `capshape`, `class`, `gillcolor`, `gillspacing`, `bruises`, `gillattachment`, `capsurface`, `odor`) from the `mushrooms` table.","cost":0.0000682,"response_parsed":"SELECT \n  capcolor, \n  capshape, \n  class, \n  gillcolor, \n  gillspacing, \n  bruises, \n  gillattachment, \n  capsurface, \n  odor\nFROM \n  mushrooms;","time":0.6180560589}}
+{"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":"```sql\nSELECT *\nFROM adultCensus\nWHERE relationship = 'Husband';\n```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the `relationship` column is equal to `'Husband'`.","cost":0.0000528,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE relationship = 'Husband';","time":0.3533773422}}
+{"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":"```sql\nSELECT *\nFROM adultCensus\nWHERE relationship != 'Own-child';\n```\n\nThis SQL query will fetch all the data from the `adultCensus` table where the `relationship` is not equal to `'Own-child'`.","cost":0.0000526,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE relationship != 'Own-child';","time":0.4152486324}}
+{"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":"```sql\nSELECT *\nFROM adultCensus\nWHERE relationship != 'Wife';\n```\n\nThis SQL query will fetch all the data from the `adultCensus` table where the `relationship` column does not equal 'Wife'.","cost":0.0000522,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE relationship != 'Wife';","time":0.415201664}}
+{"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 *\nFROM adultCensus\nWHERE education = 'Some-college';\n```\n\nThis SQL query will fetch all the data from the `adultCensus` table where the `education` column is equal to `'Some-college'`.","cost":0.0000532,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE education = 'Some-college';","time":0.314678669}}
+{"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 *\nFROM adultCensus\nWHERE education != '10th';\n```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the `education` column is not equal to `'10th'`.","cost":0.0000534,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE education != '10th';","time":0.507789135}}
+{"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 *\nFROM adultCensus\nWHERE education != 'Masters';\n```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the `education` column does not equal 'Masters'.","cost":0.0000526,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE education != 'Masters';","time":0.4402785301}}
+{"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 * \nFROM adultCensus \nWHERE nativecountry = 'Germany';\n```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the `nativecountry` column is equal to `'Germany'`.","cost":0.0000532,"response_parsed":"SELECT * \nFROM adultCensus \nWHERE nativecountry = 'Germany';","time":0.3570351601}}
+{"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":"```sql\nSELECT *\nFROM adultCensus\nWHERE nativecountry != 'United-States';\n```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `nativecountry` column is not equal to `'United-States'`.","cost":0.000055,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE nativecountry != 'United-States';","time":0.4206430912}}
+{"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 *\nFROM adultCensus\nWHERE nativecountry != 'Mexico';\n```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `nativecountry` column is not equal to 'Mexico'.","cost":0.0000536,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE nativecountry != 'Mexico';","time":0.4207532406}}
+{"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```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `hoursperweek` column is greater than 40.","cost":0.0000542,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE hoursperweek > 40;","time":0.4173192978}}
+{"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 *\nFROM adultCensus\nWHERE hoursperweek < 60;\n```\n\nThis SQL query will return all columns (`*`) from the `adultCensus` table where the value in the `hoursperweek` column is less than 60.","cost":0.0000542,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE hoursperweek < 60;","time":0.5355131626}}
+{"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 *\nFROM mushrooms\nWHERE gillattachment = 'attached';\n```\n\nThis SQL query will return all columns (`*`) from the `mushrooms` table where the `gillattachment` is equal to `'attached'`.","cost":0.0000526,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillattachment = 'attached';","time":0.4787602425}}
+{"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 *\nFROM mushrooms\nWHERE gillattachment != 'attached';\n```\n\nThis SQL query will return all rows from the `mushrooms` table where the value in the `gillattachment` column is not equal to `'attached'`.","cost":0.000053,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillattachment != 'attached';","time":0.4372572899}}
+{"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 *\nFROM mushrooms\nWHERE gillattachment != 'free';\n```\n\nThis SQL query will fetch all the rows from the `mushrooms` table where the `gillattachment` is not equal to `'free'`.","cost":0.0000524,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillattachment != 'free';","time":0.4515557289}}
+{"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 *\nFROM mushrooms\nWHERE gillsize = 'narrow';\n```\n\nThis SQL query will return all columns (`*`) from the `mushrooms` table where the `gillsize` is equal to `'narrow'`.","cost":0.000053,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillsize = 'narrow';","time":0.7949953079}}
+{"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 *\nFROM mushrooms\nWHERE gillsize != 'narrow';\n```\n\nThis SQL query will return all rows from the `mushrooms` table where the `gillsize` is not equal to 'narrow'.","cost":0.0000524,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillsize != 'narrow';","time":0.5253083706}}
+{"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 *\nFROM mushrooms\nWHERE gillsize != 'narrow';\n```\n\nThis SQL query will return all columns (`*`) from the `mushrooms` table where the `gillsize` is not equal to `'narrow'`.","cost":0.0000532,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillsize != 'narrow';","time":0.5251128674}}
+{"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":"```sql\nSELECT *\nFROM mushrooms\nWHERE bruises = 'no';\n```\n\nThis SQL query will return all columns (`*`) from the `mushrooms` table where the value in the `bruises` column is equal to `'no'`.","cost":0.0000524,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE bruises = 'no';","time":0.3435456753}}
+{"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 *\nFROM mushrooms\nWHERE bruises != 'no';\n```\n\nThis SQL query will return all the rows from the `mushrooms` table where the value in the `bruises` column is not equal to 'no'.","cost":0.000052,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE bruises != 'no';","time":0.7319447994}}
+{"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 *\nFROM mushrooms\nWHERE bruises != 'no';\n```\n\nThis SQL query will return all columns (`*`) from the `mushrooms` table where the value in the `bruises` column is not equal to `'no'`.","cost":0.0000526,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE bruises != 'no';","time":0.4496941566}}
+{"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":"```sql\nSELECT COUNT(DISTINCT \"race\") \nFROM \"adultCensus\";\n```\n\nThis SQL query will return the number of different races in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.0000538,"response_parsed":"SELECT COUNT(DISTINCT \"race\") \nFROM \"adultCensus\";","time":0.405731678}}
+{"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":"```sql\nSELECT COUNT(DISTINCT nativecountry) \nFROM adultCensus;\n```\n\nThis SQL query will return the number of different native countries in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `nativecountry` column.","cost":0.0000546,"response_parsed":"SELECT COUNT(DISTINCT nativecountry) \nFROM adultCensus;","time":0.3768401146}}
+{"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":"```sql\nSELECT COUNT(DISTINCT workclass) \nFROM adultCensus;\n```\n\nThis SQL query will return the number of different workclass in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `workclass` column.","cost":0.0000546,"response_parsed":"SELECT COUNT(DISTINCT workclass) \nFROM adultCensus;","time":0.4317312241}}
+{"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":"```sql\nSELECT COUNT(DISTINCT education) \nFROM adultCensus;\n```\n\nThis SQL query will return the number of different education levels in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `education` column.","cost":0.000054,"response_parsed":"SELECT COUNT(DISTINCT education) \nFROM adultCensus;","time":0.4374403954}}
+{"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":"```sql\nSELECT COUNT(DISTINCT income) \nFROM adultCensus;\n```\n\nThis SQL code will return the number of different income values in the `adultCensus` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the specified column.","cost":0.0000536,"response_parsed":"SELECT COUNT(DISTINCT income) \nFROM adultCensus;","time":0.4691720009}}
+{"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) \nFROM adultCensus;\n```\n\nThis SQL query will return the maximum value of `hoursperweek` from the `adultCensus` table.","cost":0.00005,"response_parsed":"SELECT MAX(hoursperweek) \nFROM adultCensus;","time":0.3275504112}}
+{"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) \nFROM adultCensus;\n```\n\nThis SQL query will return the minimum value of `hoursperweek` from the `adultCensus` table.","cost":0.00005,"response_parsed":"SELECT MIN(hoursperweek) \nFROM adultCensus;","time":0.3259060383}}
+{"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) \nFROM adultCensus;\n```\n\nThis SQL query will return the average hoursperweek for the table adultCensus.","cost":0.0000488,"response_parsed":"SELECT AVG(hoursperweek) \nFROM adultCensus;","time":0.381765604}}
+{"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":"```sql\nSELECT COUNT(DISTINCT capsurface) \nFROM mushrooms;\n```\n\nThis SQL query will return the number of different `capsurface` values in the `mushrooms` table. The `DISTINCT` keyword is used to select only unique values. The `COUNT` function is then used to count the number of these unique values.","cost":0.0000556,"response_parsed":"SELECT COUNT(DISTINCT capsurface) \nFROM mushrooms;","time":0.4358716011}}
+{"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) \nFROM mushrooms;\n```\n\nThis SQL code will return the number of different `gillattachment` values in the `mushrooms` table. The `DISTINCT` keyword is used to remove duplicate values and count only unique `gillattachment` values.","cost":0.0000546,"response_parsed":"SELECT COUNT(DISTINCT gillattachment) \nFROM mushrooms;","time":0.3834676743}}
+{"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":"```sql\nSELECT COUNT(DISTINCT odor) \nFROM mushrooms;\n```\n\nThis SQL query will return the number of different odors in the `mushrooms` table. The `DISTINCT` keyword is used to remove duplicate values from the `odor` column, and then `COUNT` is used to count the number of unique values.","cost":0.0000552,"response_parsed":"SELECT COUNT(DISTINCT odor) \nFROM mushrooms;","time":0.4524383545}}
+{"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":"```sql\nSELECT COUNT(DISTINCT gillsize) \nFROM mushrooms;\n```\n\nThis SQL query will return the number of different `gillsize` values in the `mushrooms` table. The `DISTINCT` keyword is used to count only unique values.","cost":0.0000528,"response_parsed":"SELECT COUNT(DISTINCT gillsize) \nFROM mushrooms;","time":0.4126172066}}
+{"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":"```sql\nSELECT COUNT(DISTINCT gillcolor) \nFROM mushrooms;\n```\n\nThis SQL code will return the number of different `gillcolor` values in the `mushrooms` table. The `COUNT(DISTINCT)` function is used to count the number of unique values in the `gillcolor` column.","cost":0.0000552,"response_parsed":"SELECT COUNT(DISTINCT gillcolor) \nFROM mushrooms;","time":0.3574252129}}