{"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":"\n\nTo fetch the different `devicetype` values from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT devicetype FROM fitnessTrackers;\n```\n\nThis query will return all unique values in the `devicetype` column of the `fitnessTrackers` table.","cost":0.0004905,"response_parsed":"SELECT DISTINCT devicetype FROM fitnessTrackers;","time":3.9605691433}} {"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":"\n\nTo fetch the different `modelname`s from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT modelname FROM fitnessTrackers;\n```\n\nThis query will return all unique values in the `modelname` column of the `fitnessTrackers` table.","cost":0.0004662,"response_parsed":"SELECT DISTINCT modelname FROM fitnessTrackers;","time":3.6681149006}} {"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":"\n\nTo fetch the different colors from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT color FROM fitnessTrackers;\n```\n\nThis query will return all unique color values present in the `fitnessTrackers` table.","cost":0.0004158,"response_parsed":"SELECT DISTINCT color FROM fitnessTrackers;","time":3.1747591496}} {"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":"\n\nTo show the different displays in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT display FROM fitnessTrackers;\n```\n\nThis query will return all unique values in the `display` column of the `fitnessTrackers` table.","cost":0.0003924,"response_parsed":"SELECT DISTINCT display FROM fitnessTrackers;","time":2.9223909378}} {"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":"\n\nTo fetch the different brand names from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT brandname FROM fitnessTrackers;\n```\n\nThis query will return all unique brand names present in the `fitnessTrackers` table.","cost":0.0004113,"response_parsed":"SELECT DISTINCT brandname FROM fitnessTrackers;","time":3.3744239807}} {"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":"\n\nTo show the different `transactionno` values in the `salesTransactions` table, you can use the `SELECT DISTINCT` statement. Here's the SQL code:\n\n```sql\nSELECT DISTINCT transactionno FROM salesTransactions;\n```","cost":0.0003762,"response_parsed":"SELECT DISTINCT transactionno FROM salesTransactions;","time":3.2231333256}} {"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":"\n\nTo show the different dates in the `salesTransactions` table, you can use the `DISTINCT` keyword in SQL to fetch unique dates. Here's the SQL code:\n\n```sql\nSELECT DISTINCT date FROM salesTransactions;\n```","cost":0.000468,"response_parsed":"SELECT DISTINCT date FROM salesTransactions;","time":3.631462574}} {"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":"\n\nTo fetch the different `productno` values from the `salesTransactions` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here is the SQL code:\n\n```sql\nSELECT DISTINCT productno FROM salesTransactions;\n```","cost":0.0005733,"response_parsed":"SELECT DISTINCT productno FROM salesTransactions;","time":5.1259884834}} {"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":"\n\nTo retrieve the different product names from the `salesTransactions` table, you can use the `DISTINCT` keyword to ensure you get unique product names. Here's the SQL code:\n\n```sql\nSELECT DISTINCT productname FROM salesTransactions;\n```","cost":0.0004185,"response_parsed":"SELECT DISTINCT productname FROM salesTransactions;","time":3.4067537785}} {"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":"\n\nTo fetch the different countries from the `salesTransactions` table, you can use the `DISTINCT` keyword to retrieve unique country values. Here's the SQL code:\n\n```sql\nSELECT DISTINCT \"country\" FROM \"salesTransactions\";\n```","cost":0.0005031,"response_parsed":"SELECT DISTINCT \"country\" FROM \"salesTransactions\";","time":4.3514924049}} {"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":"\n\nTo count the number of rows for each display in the `fitnessTrackers` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT display, COUNT(*) AS count\nFROM fitnessTrackers\nGROUP BY display;\n```\n\nThis query will return the number of rows for each unique `display` value in the `fitnessTrackers` table.","cost":0.000801,"response_parsed":"SELECT display, COUNT(*) AS count\nFROM fitnessTrackers\nGROUP BY display;","time":7.680991888}} {"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":"\n\nTo count the number of rows for each `devicetype` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT devicetype, COUNT(*) as rowcount\nFROM fitnessTrackers\nGROUP BY devicetype;\n```\n\nThis query will:\n1. Select the `devicetype` column\n2. Count the number of rows for each `devicetype` using `COUNT(*)`\n3. Group the results by the `devicetype` column\n4. Return the results with the count of rows for each device type","cost":0.0004941,"response_parsed":"SELECT devicetype, COUNT(*) as rowcount\nFROM fitnessTrackers\nGROUP BY devicetype;","time":3.9231088161}} {"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":"\n\nTo count the number of rows for each `modelname` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT modelname, COUNT(*) AS rowcount\nFROM fitnessTrackers\nGROUP BY modelname;\n```\n\nThis query will:\n1. Group all rows in the `fitnessTrackers` table by the `modelname` column.\n2. Count the number of rows in each group.\n3. Return the `modelname` along with the count of rows for each group.","cost":0.0004761,"response_parsed":"SELECT modelname, COUNT(*) AS rowcount\nFROM fitnessTrackers\nGROUP BY modelname;","time":3.8557224274}} {"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":"\n\nTo count the number of rows for each `strapmaterial` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT strapmaterial, COUNT(*) AS count_of_rows\nFROM fitnessTrackers\nGROUP BY strapmaterial;\n```\n\nThis query will:\n1. Group all rows in the `fitnessTrackers` table by the `strapmaterial` column.\n2. Count the number of rows for each group (each unique `strapmaterial`).\n3. Return the results with the `strapmaterial` and the corresponding count of rows.","cost":0.0005265,"response_parsed":"SELECT strapmaterial, COUNT(*) AS count_of_rows\nFROM fitnessTrackers\nGROUP BY strapmaterial;","time":4.4669816494}} {"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":"\n\nTo count the number of rows for each `brandname` in the `fitnessTrackers` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT brandname, COUNT(*) AS row_count\nFROM fitnessTrackers\nGROUP BY brandname;\n```\n\nThis query will:\n1. Group all rows in the `fitnessTrackers` table by the `brandname` column.\n2. Count the number of rows for each group (i.e., for each `brandname`).\n3. Return a result set with two columns: `brandname` and `row_count` (where `row_count` is the number of rows for each `brandname`).","cost":0.0005283,"response_parsed":"SELECT brandname, COUNT(*) AS row_count\nFROM fitnessTrackers\nGROUP BY brandname;","time":4.4658691883}} {"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":"\n\nTo find the minimum selling price for each device type in the `fitnessTrackers` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT devicetype AS \"Device Type\", MIN(sellingprice) AS \"Minimum Selling Price\"\nFROM fitnessTrackers\nGROUP BY devicetype\nORDER BY devicetype;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `devicetype` column.\n2. Calculate the minimum `sellingprice` for each group of `devicetype`.\n3. Return the results sorted by `devicetype` for better readability.","cost":0.0006489,"response_parsed":"SELECT devicetype AS \"Device Type\", MIN(sellingprice) AS \"Minimum Selling Price\"\nFROM fitnessTrackers\nGROUP BY devicetype\nORDER BY devicetype;","time":5.7751121521}} {"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":"\n\nTo find the maximum selling price for each device type in the `fitnessTrackers` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT devicetype AS \"Device Type\", MAX(sellingprice) AS \"Max Selling Price\"\nFROM fitnessTrackers\nGROUP BY devicetype;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `devicetype` column.\n2. For each group (i.e., for each device type), it will calculate the maximum value of the `sellingprice` column.\n3. Return a result set with two columns: `Device Type` (the name of the device type) and `Max Selling Price` (the maximum selling price for that device type).","cost":0.0006291,"response_parsed":"SELECT devicetype AS \"Device Type\", MAX(sellingprice) AS \"Max Selling Price\"\nFROM fitnessTrackers\nGROUP BY devicetype;","time":5.3432753086}} {"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":"\n\nTo find the average selling price for each device type in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT devicetype, AVG(sellingprice) AS avg_sellingprice\nFROM fitnessTrackers\nGROUP BY devicetype;\n```\n\nThis query will:\n1. Group all records in the `fitnessTrackers` table by the `devicetype` column.\n2. Calculate the average `sellingprice` for each group.\n3. Return a result set with two columns: `devicetype` and `avg_sellingprice` (the average selling price for each device type).","cost":0.0005445,"response_parsed":"SELECT devicetype, AVG(sellingprice) AS avg_sellingprice\nFROM fitnessTrackers\nGROUP BY devicetype;","time":4.1213262081}} {"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":"\n\nTo answer the question, we need to calculate the sum of the `sellingprice` for each `devicetype` in the `fitnessTrackers` table. Here's the SQL code to achieve this:\n\n```sql\nSELECT \n devicetype AS DeviceType,\n SUM(sellingprice) AS TotalSellingPrice\nFROM \n fitnessTrackers\nGROUP BY \n devicetype\nORDER BY \n DeviceType ASC;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `devicetype` column and use the `SUM()` function to calculate the total `sellingprice` for each device type.\n2. **FROM Clause**: We specify the table `fitnessTrackers` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `devicetype` column to ensure the sum is calculated for each unique device type.\n4. **ORDER BY Clause**: We sort the results by `devicetype` in ascending order for better readability.\n\nThis query will return a result set with two columns:\n- `DeviceType`: The type of the fitness tracker device.\n- `TotalSellingPrice`: The sum of the `sellingprice` for each device type.","cost":0.0007281,"response_parsed":"SELECT \n devicetype AS DeviceType,\n SUM(sellingprice) AS TotalSellingPrice\nFROM \n fitnessTrackers\nGROUP BY \n devicetype\nORDER BY \n DeviceType ASC;","time":6.2519221306}} {"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":"\n\nTo find the minimum average battery life for each device type in the `fitnessTrackers` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n devicetype,\n MIN(averagebatterylife) AS min_avg_battery\nFROM \n fitnessTrackers\nGROUP BY \n devicetype;\n```\n\nThis query will return the minimum average battery life for each device type in your table.","cost":0.0005697,"response_parsed":"SELECT \n devicetype,\n MIN(averagebatterylife) AS min_avg_battery\nFROM \n fitnessTrackers\nGROUP BY \n devicetype;","time":4.6025090218}} {"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":"\n\nTo find the maximum average battery life for each device type in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, MAX(averagebatterylife) AS max_average_battery_life\nFROM fitnessTrackers\nGROUP BY devicetype;\n```\n\nThis query:\n1. Groups the rows in the `fitnessTrackers` table by the `devicetype` column.\n2. For each group (i.e., for each device type), it calculates the maximum value of the `averagebatterylife` column.\n3. Returns the `devicetype` along with the corresponding maximum average battery life, aliased as `max_average_battery_life` for clarity.","cost":0.0005931,"response_parsed":"SELECT devicetype, MAX(averagebatterylife) AS max_average_battery_life\nFROM fitnessTrackers\nGROUP BY devicetype;","time":5.0074617863}} {"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":"\n\nTo find the average of `averagebatterylife` for each `devicetype` in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n devicetype AS device_type,\n AVG(averagebatterylife) AS avg_battery_life\nFROM \n fitnessTrackers\nGROUP BY \n devicetype\nORDER BY \n devicetype;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `devicetype` column.\n2. Calculate the average value of `averagebatterylife` for each group.\n3. Return the results sorted by `devicetype` for better readability.","cost":0.0005067,"response_parsed":"SELECT \n devicetype AS device_type,\n AVG(averagebatterylife) AS avg_battery_life\nFROM \n fitnessTrackers\nGROUP BY \n devicetype\nORDER BY \n devicetype;","time":4.4989492893}} {"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":"\n\nTo fetch the sum of `averagebatterylife` for each `devicetype` from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, SUM(averagebatterylife) AS total_averagebatterylife\nFROM fitnessTrackers\nGROUP BY devicetype;\n```\n\nThis query:\n1. Selects the `devicetype` column.\n2. Calculates the sum of `averagebatterylife` for each `devicetype` using the `SUM()` function.\n3. Groups the results by `devicetype` using the `GROUP BY` clause.\n4. Aliases the sum column as `total_averagebatterylife` for better readability.","cost":0.0005742,"response_parsed":"SELECT devicetype, SUM(averagebatterylife) AS total_averagebatterylife\nFROM fitnessTrackers\nGROUP BY devicetype;","time":4.8548080921}} {"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":"\n\nTo find the minimum selling price for each display type in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT display, MIN(sellingprice) AS min_sellingprice\nFROM fitnessTrackers\nGROUP BY display;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `display` column.\n2. For each group (i.e., for each unique display type), it will calculate the minimum value of the `sellingprice` column.\n3. Return a result set with two columns: `display` (the display type) and `min_sellingprice` (the minimum selling price for that display type).","cost":0.0005787,"response_parsed":"SELECT display, MIN(sellingprice) AS min_sellingprice\nFROM fitnessTrackers\nGROUP BY display;","time":5.3979945183}} {"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":"\n\nTo find the maximum selling price for each display type in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT display, MAX(sellingprice) AS max_sellingprice\nFROM fitnessTrackers\nGROUP BY display;\n```\n\nThis query will return the maximum selling price for each unique display type in your table.","cost":0.0006174,"response_parsed":"SELECT display, MAX(sellingprice) AS max_sellingprice\nFROM fitnessTrackers\nGROUP BY display;","time":5.6017453671}} {"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":"\n\nTo find the average selling price for each display type in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n display,\n AVG(sellingprice) AS average_sellingprice\nFROM \n fitnessTrackers\nGROUP BY \n display;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `display` column.\n2. Calculate the average `sellingprice` for each group.\n3. Return the results with the `display` name and its corresponding average selling price.","cost":0.000558,"response_parsed":"SELECT \n display,\n AVG(sellingprice) AS average_sellingprice\nFROM \n fitnessTrackers\nGROUP BY \n display;","time":4.7369349003}} {"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":"\n\nTo find the sum of `sellingprice` for each `display` in the `fitnessTrackers` table, you can use the SQL `GROUP BY` clause along with the `SUM()` function. Here's the SQL code:\n\n```sql\nSELECT \n display,\n SUM(sellingprice) AS total_sellingprice\nFROM \n fitnessTrackers\nGROUP BY \n display;\n```\n\nThis query will:\n1. Group all rows in the `fitnessTrackers` table by the `display` column.\n2. Calculate the sum of `sellingprice` for each group of `display`.\n3. Return the result with two columns: `display` and `total_sellingprice` (the sum of `sellingprice` for each `display`).","cost":0.0006264,"response_parsed":"SELECT \n display,\n SUM(sellingprice) AS total_sellingprice\nFROM \n fitnessTrackers\nGROUP BY \n display;","time":5.3229031563}} {"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":"\n\nTo find the minimum average battery life for each display type in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT \n display AS Display,\n MIN(averagebatterylife) AS Min_Avg_Battery_Life\nFROM \n fitnessTrackers\nGROUP BY \n display;\n```\n\nThis query will return the minimum average battery life for each unique display type in your table.","cost":0.0005517,"response_parsed":"SELECT \n display AS Display,\n MIN(averagebatterylife) AS Min_Avg_Battery_Life\nFROM \n fitnessTrackers\nGROUP BY \n display;","time":4.383633852}} {"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":"\n\nTo find the maximum average battery life for each display type in the `fitnessTrackers` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n display,\n MAX(averagebatterylife) AS max_averagebatterylife\nFROM \n fitnessTrackers\nGROUP BY \n display;\n```\n\nThis query will return the maximum average battery life for each unique display type in your table.","cost":0.000594,"response_parsed":"SELECT \n display,\n MAX(averagebatterylife) AS max_averagebatterylife\nFROM \n fitnessTrackers\nGROUP BY \n display;","time":4.9656720161}} {"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":"\n\nTo find the average `averagebatterylife` for each `display` in the `fitnessTrackers` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n display,\n AVG(averagebatterylife) AS average_battery_life\nFROM \n fitnessTrackers\nGROUP BY \n display;\n```\n\nThis query will:\n1. Group all records in the `fitnessTrackers` table by the `display` column.\n2. Calculate the average value of `averagebatterylife` for each group (i.e., for each `display`).\n3. Return a result set with two columns: `display` and `average_battery_life` (the average battery life for each display).","cost":0.0005868,"response_parsed":"SELECT \n display,\n AVG(averagebatterylife) AS average_battery_life\nFROM \n fitnessTrackers\nGROUP BY \n display;","time":4.8174517155}} {"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":"\n\nTo fetch the sum of `averagebatterylife` for each `display` in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT \n \"display\" AS \"Display\",\n SUM(\"averagebatterylife\") AS \"TotalAverageBatteryLife\"\nFROM \n fitnessTrackers\nGROUP BY \n \"display\";\n```\n\nThis query will:\n1. Select the `display` column and alias it as \"Display\".\n2. Calculate the sum of `averagebatterylife` for each `display` and alias it as \"TotalAverageBatteryLife\".\n3. Group the results by the `display` column to ensure the sum is calculated for each unique display value.","cost":0.0005922,"response_parsed":"SELECT \n \"display\" AS \"Display\",\n SUM(\"averagebatterylife\") AS \"TotalAverageBatteryLife\"\nFROM \n fitnessTrackers\nGROUP BY \n \"display\";","time":4.9959216118}} {"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":"\n\nTo count the number of rows for each `transactionno` in the `salesTransactions` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT transactionno, COUNT(*) as row_count\nFROM salesTransactions\nGROUP BY transactionno;\n```\n\nThis query will return each unique `transactionno` along with the number of rows associated with it in the `salesTransactions` table.","cost":0.000495,"response_parsed":"SELECT transactionno, COUNT(*) as row_count\nFROM salesTransactions\nGROUP BY transactionno;","time":4.1804904938}} {"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":"\n\nTo count the number of rows in the `salesTransactions` table for each date, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause to group the results by date.\n\n```sql\nSELECT \n date, \n COUNT(*) as numberOfTransactions\nFROM \n salesTransactions\nGROUP BY \n date;\n```\n\nThis SQL query will:\n1. Select the `date` column and count the number of rows for each date.\n2. Group the results by the `date` column.\n3. Return a result set with two columns: `date` and `numberOfTransactions` (the count of transactions for each date).","cost":0.0004797,"response_parsed":"SELECT \n date, \n COUNT(*) as numberOfTransactions\nFROM \n salesTransactions\nGROUP BY \n date;","time":4.2829010487}} {"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":"\n\nTo count the number of rows for each `productno` in the `salesTransactions` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n productno,\n COUNT(*) AS number_of_transactions\nFROM \n salesTransactions\nGROUP BY \n productno;\n```\n\nThis query will:\n1. Select the `productno` column\n2. Count the number of rows for each `productno` using `COUNT(*)`\n3. Group the results by `productno`\n4. Return the count of transactions for each product number","cost":0.000477,"response_parsed":"SELECT \n productno,\n COUNT(*) AS number_of_transactions\nFROM \n salesTransactions\nGROUP BY \n productno;","time":4.00324893}} {"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":"\n\nTo count the number of rows for each `productname` in the `salesTransactions` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT productname, COUNT(*) AS row_count\nFROM salesTransactions\nGROUP BY productname;\n```\n\nThis query will:\n1. Group all rows in the `salesTransactions` table by the `productname` column.\n2. Count the number of rows in each group using `COUNT(*)`.\n3. Return the `productname` along with the count of rows for each group.\n\nThe result will show the number of transactions (rows) for each product name in your table.","cost":0.0005355,"response_parsed":"SELECT productname, COUNT(*) AS row_count\nFROM salesTransactions\nGROUP BY productname;","time":4.5414135456}} {"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":"\n\nTo count the number of rows in the `salesTransactions` table for each country, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT country, COUNT(transactionno) AS numberOfTransactions\nFROM salesTransactions\nGROUP BY country;\n```\n\nThis query will:\n1. Group all rows in the `salesTransactions` table by the `country` column.\n2. Count the number of transactions (`transactionno`) for each country.\n3. Return a result set with two columns: `country` and `numberOfTransactions` (the count of transactions for each country).","cost":0.0005859,"response_parsed":"SELECT country, COUNT(transactionno) AS numberOfTransactions\nFROM salesTransactions\nGROUP BY country;","time":4.9332602024}} {"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":"\n\nTo find the minimum `customerno` for each date in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT \n date,\n MIN(customerno) AS min_customerno\nFROM \n salesTransactions\nGROUP BY \n date;\n```\n\nThis query will:\n1. Group the rows of the `salesTransactions` table by the `date` column.\n2. For each group (i.e., for each date), it will calculate the minimum value of the `customerno` column.\n3. Return a result set with two columns: `date` and `min_customerno` (the minimum customer number for that date).","cost":0.0006075,"response_parsed":"SELECT \n date,\n MIN(customerno) AS min_customerno\nFROM \n salesTransactions\nGROUP BY \n date;","time":5.1686124802}} {"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":"\n\nTo find the maximum `customerno` for each date in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT date, MAX(customerno) AS max_customerno\nFROM salesTransactions\nGROUP BY date;\n```\n\nThis query will return the maximum `customerno` for each unique date in your table.","cost":0.0005238,"response_parsed":"SELECT date, MAX(customerno) AS max_customerno\nFROM salesTransactions\nGROUP BY date;","time":4.2891805172}} {"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":"\n\nTo find the average of `customerno` for each date in the `salesTransactions` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n date,\n AVG(customerno) AS average_customerno\nFROM \n salesTransactions\nGROUP BY \n date;\n```\n\nThis query will:\n1. Group the rows of the `salesTransactions` table by the `date` column.\n2. Calculate the average value of `customerno` for each group (i.e., for each date).\n3. Return a result set with two columns: `date` and `average_customerno`.","cost":0.000567,"response_parsed":"SELECT \n date,\n AVG(customerno) AS average_customerno\nFROM \n salesTransactions\nGROUP BY \n date;","time":5.1162900925}} {"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":"\n\nTo fetch the sum of `customerno` for each date from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT \n date,\n SUM(customerno) AS total_customers\nFROM \n salesTransactions\nGROUP BY \n date;\n```\n\nThis query will:\n1. Select the `date` column.\n2. Calculate the sum of the `customerno` column for each date using the `SUM()` function.\n3. Group the results by the `date` column to ensure the sum is calculated for each unique date.","cost":0.0005499,"response_parsed":"SELECT \n date,\n SUM(customerno) AS total_customers\nFROM \n salesTransactions\nGROUP BY \n date;","time":4.634973526}} {"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":"\n\nTo find the minimum price for each date in the `salesTransactions` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT date, MIN(price) AS min_price\nFROM salesTransactions\nGROUP BY date;\n```\n\nThis query will return the minimum price for each date in your `salesTransactions` table.","cost":0.0004689,"response_parsed":"SELECT date, MIN(price) AS min_price\nFROM salesTransactions\nGROUP BY date;","time":3.9158334732}} {"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":"\n\nTo find the maximum price for each date in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n date,\n MAX(price) AS max_price\nFROM \n salesTransactions\nGROUP BY \n date\nORDER BY \n date;\n```\n\nThis query will:\n1. Select the `date` column.\n2. Calculate the maximum `price` for each date using `MAX(price)`.\n3. Group the results by the `date` column.\n4. Optionally, order the results by the `date` column for better readability.","cost":0.0006336,"response_parsed":"SELECT \n date,\n MAX(price) AS max_price\nFROM \n salesTransactions\nGROUP BY \n date\nORDER BY \n date;","time":5.6453371048}} {"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":"\n\nTo find the average price for each date in the `salesTransactions` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n date,\n AVG(price) AS avg_price\nFROM \n salesTransactions\nGROUP BY \n date;\n```\n\nThis query will:\n1. Select the `date` column.\n2. Calculate the average of the `price` column for each date using `AVG(price)`.\n3. Group the results by the `date` column to ensure the average is calculated for each unique date.\n4. Alias the average price column as `avg_price` for clarity.","cost":0.0005175,"response_parsed":"SELECT \n date,\n AVG(price) AS avg_price\nFROM \n salesTransactions\nGROUP BY \n date;","time":4.2363069057}} {"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":"\n\nTo fetch the sum of `price` for each date from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT \n date,\n SUM(price) AS total_price\nFROM \n salesTransactions\nGROUP BY \n date;\n```\n\nThis query will:\n1. Select the `date` column.\n2. Calculate the sum of the `price` column for each date using the `SUM()` function.\n3. Group the results by the `date` column to ensure the sum is calculated for each unique date.","cost":0.0004743,"response_parsed":"SELECT \n date,\n SUM(price) AS total_price\nFROM \n salesTransactions\nGROUP BY \n date;","time":3.9283690453}} {"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":"\n\nTo find the minimum `customerno` for each country in the `salesTransactions` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT country, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY country;\n```\n\nThis query will return the minimum `customerno` for each country in your database.","cost":0.000585,"response_parsed":"SELECT country, MIN(customerno) AS min_customerno\nFROM salesTransactions\nGROUP BY country;","time":5.5231187344}} {"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":"\n\nTo find the maximum `customerno` for each country in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT country, MAX(customerno) AS max_customerno\nFROM \"salesTransactions\"\nGROUP BY country;\n```\n\nThis query will return the maximum `customerno` for each unique `country` in your `salesTransactions` table.","cost":0.0004689,"response_parsed":"SELECT country, MAX(customerno) AS max_customerno\nFROM \"salesTransactions\"\nGROUP BY country;","time":3.8208179474}} {"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":"\n\nTo find the average of `customerno` for each country in the `salesTransactions` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n country,\n AVG(customerno) AS avg_customerno\nFROM \n salesTransactions\nGROUP BY \n country\nORDER BY \n country;\n```\n\nThis query will:\n1. Group the rows in the `salesTransactions` table by the `country` column.\n2. Calculate the average value of `customerno` for each group (country).\n3. Return the results sorted alphabetically by country name.","cost":0.0005625,"response_parsed":"SELECT \n country,\n AVG(customerno) AS avg_customerno\nFROM \n salesTransactions\nGROUP BY \n country\nORDER BY \n country;","time":4.9905281067}} {"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":"\n\nTo fetch the sum of `customerno` for each country from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT \n country,\n SUM(customerno) AS total_customers\nFROM \n \"salesTransactions\"\nGROUP BY \n country;\n```\n\nThis query will:\n1. Select the `country` column.\n2. Calculate the sum of the `customerno` for each country using the `SUM()` function.\n3. Group the results by the `country` column to ensure the sum is calculated for each unique country.","cost":0.0005247,"response_parsed":"SELECT \n country,\n SUM(customerno) AS total_customers\nFROM \n \"salesTransactions\"\nGROUP BY \n country;","time":4.583101511}} {"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":"\n\nTo find the minimum price for each country in the `salesTransactions` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n country,\n MIN(price) AS min_price\nFROM \n salesTransactions\nGROUP BY \n country;\n```\n\nThis SQL query will:\n1. Group all records in the `salesTransactions` table by the `country` column.\n2. For each group (i.e., for each country), it will calculate the minimum value in the `price` column.\n3. Return a result set with two columns: `country` and `min_price` (the minimum price for that country).","cost":0.0005058,"response_parsed":"SELECT \n country,\n MIN(price) AS min_price\nFROM \n salesTransactions\nGROUP BY \n country;","time":4.457244873}} {"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":"\n\nTo find the maximum price for each country in the `salesTransactions` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \"country\", MAX(\"price\") AS max_price\nFROM \"salesTransactions\"\nGROUP BY \"country\";\n```\n\nThis query will return the maximum price for each country in your database.","cost":0.0005139,"response_parsed":"SELECT \"country\", MAX(\"price\") AS max_price\nFROM \"salesTransactions\"\nGROUP BY \"country\";","time":4.1644206047}} {"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":"\n\nTo fetch the average price for each country from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country, AVG(price) AS average_price\nFROM salesTransactions\nGROUP BY country;\n```\n\nThis query will:\n1. Group the rows in the `salesTransactions` table by the `country` column.\n2. Calculate the average value of the `price` column for each group (country).\n3. Return the results with the country name and the corresponding average price.","cost":0.00054,"response_parsed":"SELECT country, AVG(price) AS average_price\nFROM salesTransactions\nGROUP BY country;","time":4.6180667877}} {"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":"\n\nTo fetch the sum of `price` for each country from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT \n country,\n SUM(price) AS total_price\nFROM \n salesTransactions\nGROUP BY \n country;\n```\n\nThis query will:\n1. Group all records in the `salesTransactions` table by the `country` column.\n2. Calculate the sum of the `price` column for each group (i.e., for each country).\n3. Return the result with two columns: `country` and `total_price` (the sum of prices for that country).","cost":0.0005391,"response_parsed":"SELECT \n country,\n SUM(price) AS total_price\nFROM \n salesTransactions\nGROUP BY \n country;","time":4.635815382}} {"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":"\n\nTo find all `modelname`s that have at least one record in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT modelname FROM fitnessTrackers;\n```\n\nThis query will return all unique `modelname`s that exist in the `fitnessTrackers` table.","cost":0.0005652,"response_parsed":"SELECT DISTINCT modelname FROM fitnessTrackers;","time":5.0993859768}} {"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":"\n\nTo find all `modelname`s that have at most 1 record in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING COUNT(*) <= 1;\n```\n\nThis query:\n1. Groups the records in the `fitnessTrackers` table by the `modelname`.\n2. Counts the number of records for each `modelname`.\n3. Filters the results to include only those `modelname`s that have 1 or fewer records.","cost":0.0005238,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING COUNT(*) <= 1;","time":4.4029581547}} {"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":"\n\nTo find all colors that have at least one record in the `fitnessTrackers` table, you can use the `SELECT DISTINCT` statement to retrieve unique color values. Here's the SQL code:\n\n```sql\nSELECT DISTINCT color FROM fitnessTrackers;\n```\n\nThis query will return all unique color values present in the `fitnessTrackers` table.","cost":0.0004959,"response_parsed":"SELECT DISTINCT color FROM fitnessTrackers;","time":4.0448737144}} {"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":"\n\nTo find all colors that have at most 1 record in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT color\nFROM fitnessTrackers\nGROUP BY color\nHAVING COUNT(color) <= 1;\n```\n\nThis query:\n1. Groups the records in the `fitnessTrackers` table by the `color` column.\n2. Uses the `HAVING` clause to filter groups where the count of records for a specific color is less than or equal to 1.\n3. Returns the `color` values that meet this condition.","cost":0.0005202,"response_parsed":"SELECT color\nFROM fitnessTrackers\nGROUP BY color\nHAVING COUNT(color) <= 1;","time":4.5678441525}} {"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":"\n\nTo find all displays that have at least 4 records in the `fitnessTrackers` table, you can use the SQL `COUNT()` function along with the `GROUP BY` and `HAVING` clauses. Here's how you can do it:\n\n```sql\nSELECT display \nFROM fitnessTrackers \nGROUP BY display \nHAVING COUNT(display) >= 4;\n```\n\nThis query will:\n1. Group the records in the `fitnessTrackers` table by the `display` column.\n2. Count the number of records for each `display`.\n3. Return only those `display` values that have 4 or more records.","cost":0.0005256,"response_parsed":"SELECT display \nFROM fitnessTrackers \nGROUP BY display \nHAVING COUNT(display) >= 4;","time":4.4168121815}} {"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":"\n\nTo find all the displays that have at most 4 records in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT display\nFROM fitnessTrackers\nGROUP BY display\nHAVING COUNT(display) <= 4;\n```\n\nThis query will:\n1. Group the records in the `fitnessTrackers` table by the `display` column.\n2. Count the number of records for each `display`.\n3. Return only those `display` values that have 4 or fewer records.","cost":0.000531,"response_parsed":"SELECT display\nFROM fitnessTrackers\nGROUP BY display\nHAVING COUNT(display) <= 4;","time":4.7821612358}} {"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":"\n\nTo answer the question, we need to write an SQL query that will fetch the `strapmaterial` from the `fitnessTrackers` table where the average of `averagebatterylife` is at least 8.81.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(averagebatterylife) >= 8.81;\n```\n\n### Explanation:\n1. **`SELECT strapmaterial`**: This selects the `strapmaterial` column that we want to retrieve.\n2. **`FROM fitnessTrackers`**: This specifies the table from which we want to retrieve the data.\n3. **`GROUP BY strapmaterial`**: This groups the rows by the `strapmaterial` column so that we can calculate the average `averagebatterylife` for each `strapmaterial`.\n4. **`HAVING AVG(averagebatterylife) >= 8.81`**: This filters the results to include only those groups where the average `averagebatterylife` is at least 8.81.\n\nThis query will return the `strapmaterial` values where the average `averagebatterylife` meets or exceeds 8.81.","cost":0.0006642,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(averagebatterylife) >= 8.81;","time":7.0694830418}} {"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":"\n\nTo answer the question, we need to write an SQL query that will fetch the `strapmaterial` from the `fitnessTrackers` table where the average of `averagebatterylife` is at most 8.81.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING AVG(averagebatterylife) <= 8.81;\n```\n\n### Explanation:\n1. **SELECT strapmaterial**: This selects the `strapmaterial` column from the table.\n2. **FROM fitnessTrackers**: This specifies the table to query.\n3. **GROUP BY strapmaterial**: This groups the rows by the `strapmaterial` column.\n4. **HAVING AVG(averagebatterylife) <= 8.81**: This filters the groups to only include those where the average `averagebatterylife` is at most 8.81.","cost":0.0006633,"response_parsed":"SELECT strapmaterial \nFROM fitnessTrackers \nGROUP BY strapmaterial \nHAVING AVG(averagebatterylife) <= 8.81;","time":6.1297614574}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `averagebatterylife` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` values where the sum of `averagebatterylife` is at least 32.4.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) >= 32.4;\n```\n\n### Explanation:\n1. **`SELECT strapmaterial`**: This selects the `strapmaterial` column, which is what we want to list.\n2. **`FROM fitnessTrackers`**: This specifies the table from which to retrieve the data.\n3. **`GROUP BY strapmaterial`**: This groups the rows by the `strapmaterial` column, allowing us to aggregate data for each unique `strapmaterial`.\n4. **`HAVING SUM(averagebatterylife) >= 32.4`**: This filters the grouped results to include only those groups where the sum of `averagebatterylife` is at least 32.4.\n\nThis query will return the `strapmaterial` values where the sum of `averagebatterylife` meets or exceeds 32.4.","cost":0.0007236,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) >= 32.4;","time":7.1497957706}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `averagebatterylife` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` where the sum of `averagebatterylife` is at most 32.4.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) <= 32.4;\n```\n\n### Explanation:\n1. **`SELECT strapmaterial`**: This selects the `strapmaterial` column that we want to display in the final result.\n2. **`FROM fitnessTrackers`**: This specifies the table from which we want to retrieve data.\n3. **`GROUP BY strapmaterial`**: This groups the rows in the table by the `strapmaterial` column, allowing us to perform aggregate operations on each group.\n4. **`HAVING SUM(averagebatterylife) <= 32.4`**: This filters the groups to include only those where the sum of `averagebatterylife` is at most 32.4.\n\nThis query will return a list of `strapmaterial` values where the sum of their `averagebatterylife` is 32.4 or less.","cost":0.0007722,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(averagebatterylife) <= 32.4;","time":6.4852979183}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `sellingprice` for each `strapmaterial` in the `fitnessTrackers` table and then filters the results to include only those `strapmaterial` values where the average `sellingprice` is at least 19076.5.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial, AVG(sellingprice) AS average_sellingprice\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(sellingprice) >= 19076.5;\n```\n\n### Explanation:\n1. **`SELECT strapmaterial, AVG(sellingprice) AS average_sellingprice`**:\n - This selects the `strapmaterial` column and calculates the average of the `sellingprice` for each `strapmaterial`. The `AS` keyword renames the average column to `average_sellingprice` for clarity.\n\n2. **`FROM fitnessTrackers`**:\n - This specifies the table from which to retrieve the data, which is `fitnessTrackers`.\n\n3. **`GROUP BY strapmaterial`**:\n - This groups the rows by the `strapmaterial` column, allowing us to calculate the average `sellingprice` for each unique `strapmaterial`.\n\n4. **`HAVING AVG(sellingprice) >= 19076.5`**:\n - This filters the grouped results to include only those groups where the average `sellingprice` is at least 19076.5.\n\nThis query will return a list of `strapmaterial` values along with their corresponding average `sellingprice`, but only for those `strapmaterial` values where the average `sellingprice` meets or exceeds 19076.5.","cost":0.0007938,"response_parsed":"SELECT strapmaterial, AVG(sellingprice) AS average_sellingprice\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(sellingprice) >= 19076.5;","time":6.9475319386}} {"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":"\n\nTo answer the question, we need to write an SQL query that will fetch the `strapmaterial` from the `fitnessTrackers` table where the average `sellingprice` is at most 19076.5.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(sellingprice) <= 19076.5;\n```\n\n### Explanation:\n1. **SELECT strapmaterial**: This selects the `strapmaterial` column from the `fitnessTrackers` table.\n2. **FROM fitnessTrackers**: This specifies the table from which to retrieve the data.\n3. **GROUP BY strapmaterial**: This groups the rows by the `strapmaterial` column, allowing us to calculate the average `sellingprice` for each unique `strapmaterial`.\n4. **HAVING AVG(sellingprice) <= 19076.5**: This filters the groups to only include those where the average `sellingprice` is at most 19076.5.\n\nThis query will return the `strapmaterial` values where the average `sellingprice` meets the specified condition.","cost":0.0006831,"response_parsed":"SELECT strapmaterial\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING AVG(sellingprice) <= 19076.5;","time":5.8107178211}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `sellingprice` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` values where the total `sellingprice` is at least 82848.0.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial, SUM(sellingprice) AS total_sellingprice\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) >= 82848.0;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `strapmaterial` column and calculate the sum of `sellingprice` for each `strapmaterial`, aliasing the sum as `total_sellingprice` for clarity.\n2. **FROM Clause**: We specify the table `fitnessTrackers` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `strapmaterial` column to aggregate the `sellingprice` values by each unique `strapmaterial`.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the sum of `sellingprice` is at least 82848.0.\n\nThis query will return the `strapmaterial` values along with their corresponding total `sellingprice` for those that meet or exceed the threshold of 82848.0.","cost":0.0007668,"response_parsed":"SELECT strapmaterial, SUM(sellingprice) AS total_sellingprice\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) >= 82848.0;","time":7.7881236076}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `sellingprice` for each `strapmaterial` in the `fitnessTrackers` table and then filter the results to include only those `strapmaterial` values where the total `sellingprice` is at most 82848.0.\n\nHere is the SQL code:\n\n```sql\nSELECT strapmaterial, SUM(sellingprice) AS total_price\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) <= 82848.0;\n```\n\n### Explanation:\n1. **`SELECT strapmaterial, SUM(sellingprice) AS total_price`**: This selects the `strapmaterial` column and calculates the sum of the `sellingprice` for each `strapmaterial`. The sum is aliased as `total_price` for clarity.\n2. **`FROM fitnessTrackers`**: This specifies the table from which to retrieve the data.\n3. **`GROUP BY strapmaterial`**: This groups the rows by the `strapmaterial` column, allowing us to aggregate the `sellingprice` for each unique `strapmaterial`.\n4. **`HAVING SUM(sellingprice) <= 82848.0`**: This filters the grouped results to include only those groups where the total `sellingprice` is at most 82848.0.\n\nThis query will return a list of `strapmaterial` values along with their corresponding total `sellingprice`, but only for those `strapmaterial` values where the total `sellingprice` is less than or equal to 82848.0.","cost":0.0007965,"response_parsed":"SELECT strapmaterial, SUM(sellingprice) AS total_price\nFROM fitnessTrackers\nGROUP BY strapmaterial\nHAVING SUM(sellingprice) <= 82848.0;","time":7.3137183189}} {"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":"\n\nTo fetch the model names from the `fitnessTrackers` table where the average of `averagebatterylife` is at least 8.1, you can use the following SQL query:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(averagebatterylife) >= 8.1;\n```\n\nThis query:\n1. Groups the rows in the `fitnessTrackers` table by the `modelname`.\n2. Calculates the average `averagebatterylife` for each group using the `AVG()` function.\n3. Filters the results to include only those groups where the average `averagebatterylife` is at least 8.1.","cost":0.0005976,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(averagebatterylife) >= 8.1;","time":4.9737036228}} {"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":"\n\nTo fetch the model names from the `fitnessTrackers` table where the average `averagebatterylife` is at most 8.1, you can use the following SQL query:\n\n```sql\nSELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING AVG(averagebatterylife) <= 8.1;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `modelname`.\n2. Calculate the average `averagebatterylife` for each group.\n3. Return only those `modelname` values where the average `averagebatterylife` is less than or equal to 8.1.","cost":0.0007128,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nGROUP BY modelname \nHAVING AVG(averagebatterylife) <= 8.1;","time":6.2025747299}} {"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":"\n\nTo answer the question, we need to fetch the `modelname` from the `fitnessTrackers` table where the `averagebatterylife` is at least 8.1.\n\n```sql\nSELECT modelname \nFROM fitnessTrackers \nWHERE averagebatterylife >= 8.1;\n```","cost":0.0006003,"response_parsed":"SELECT modelname \nFROM fitnessTrackers \nWHERE averagebatterylife >= 8.1;","time":5.3900196552}} {"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":"\n\nTo answer the question, we need to fetch the `modelname` from the `fitnessTrackers` table where the sum of `averagebatterylife` is at most 8.1.\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(averagebatterylife) <= 8.1;\n```","cost":0.0006957,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(averagebatterylife) <= 8.1;","time":5.9355385303}} {"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":"\n\nTo fetch the model names from the `fitnessTrackers` table where the average `sellingprice` is at least 20712.0, you can use the following SQL query:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) >= 20712.0;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `modelname`.\n2. Calculate the average `sellingprice` for each group.\n3. Return only those `modelname` values where the average `sellingprice` is at least 20712.0.","cost":0.0006129,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) >= 20712.0;","time":5.297337532}} {"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":"\n\nTo fetch the model names from the `fitnessTrackers` table where the average `sellingprice` is at most 20712.0, you can use the following SQL query:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) <= 20712.0;\n```\n\nThis query:\n1. Selects the `modelname` from the `fitnessTrackers` table.\n2. Groups the results by `modelname`.\n3. Filters the results to include only those groups where the average `sellingprice` is less than or equal to 20712.0.","cost":0.0005913,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING AVG(sellingprice) <= 20712.0;","time":4.7741470337}} {"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":"\n\nTo fetch the model names from the `fitnessTrackers` table where the summation of `sellingprice` is at least 20712.0, you can use the following SQL query:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) >= 20712.0;\n```\n\nThis query will:\n1. Group the rows in the `fitnessTrackers` table by the `modelname`.\n2. Calculate the sum of `sellingprice` for each group.\n3. Return only those `modelname` values where the sum of `sellingprice` is at least 20712.0.","cost":0.0006138,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) >= 20712.0;","time":5.7488822937}} {"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":"\n\nTo fetch the model names from the `fitnessTrackers` table where the sum of `sellingprice` is at most 20712.0, you can use the following SQL query:\n\n```sql\nSELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) <= 20712.0;\n```\n\nThis query:\n1. Selects the `modelname` from the `fitnessTrackers` table.\n2. Groups the results by `modelname` to aggregate the `sellingprice` for each model.\n3. Uses the `HAVING` clause to filter the results where the sum of `sellingprice` is less than or equal to 20712.0.","cost":0.0006264,"response_parsed":"SELECT modelname\nFROM fitnessTrackers\nGROUP BY modelname\nHAVING SUM(sellingprice) <= 20712.0;","time":5.3780679703}} {"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":"\n\nTo find all the countries that have at least 20 records in the `salesTransactions` table, you can use the SQL `COUNT()` function along with the `GROUP BY` and `HAVING` clauses. Here's the SQL code:\n\n```sql\nSELECT country, COUNT(transactionno) AS total\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(transactionno) >= 20;\n```\n\nThis query will:\n1. Group the records in `salesTransactions` by the `country` column.\n2. Count the number of transactions (`transactionno`) for each country.\n3. Filter the results to include only those countries that have 20 or more transactions.\n\nThe result will show the country name and the total number of transactions for each country that meets the criteria.","cost":0.0005787,"response_parsed":"SELECT country, COUNT(transactionno) AS total\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(transactionno) >= 20;","time":4.9591882229}} {"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":"\n\nTo find all the countries that have at most 20 records in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country, COUNT(transactionno) AS transaction_count\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(transactionno) <= 20;\n```\n\nThis query:\n1. Groups the records in `salesTransactions` by the `country` field.\n2. Counts the number of transactions (`transactionno`) for each country.\n3. Filters the results to include only those countries with 20 or fewer transactions.\n\nThe result will be a list of countries along with their respective transaction counts, where each count is 20 or less.","cost":0.0005499,"response_parsed":"SELECT country, COUNT(transactionno) AS transaction_count\nFROM salesTransactions\nGROUP BY country\nHAVING COUNT(transactionno) <= 20;","time":4.4390432835}} {"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":"\n\nTo find all dates that have at least one record in the `salesTransactions` table, you can use the `SELECT DISTINCT` statement to retrieve unique dates.\n\n```sql\nSELECT DISTINCT date FROM `salesTransactions`;\n```","cost":0.0005004,"response_parsed":"SELECT DISTINCT date FROM `salesTransactions`;","time":4.15097332}} {"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":"\n\nTo find all dates that have at most 1 record in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT \"date\"\nFROM \"salesTransactions\"\nGROUP BY \"date\"\nHAVING COUNT(\"transactionno\") <= 1;\n```\n\nThis query:\n1. Groups the records in the `salesTransactions` table by the `\"date\"` column.\n2. Counts the number of records (`\"transactionno\"`) for each date.\n3. Filters the results to include only those dates where the count of records is 1 or less.\n\nThe result will be a list of dates that have at most 1 record in the table.","cost":0.0006948,"response_parsed":"SELECT \"date\"\nFROM \"salesTransactions\"\nGROUP BY \"date\"\nHAVING COUNT(\"transactionno\") <= 1;","time":6.3402292728}} {"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":"\n\nTo find all the `transactionno` that have at least 1 record in the `salesTransactions` table, you can use the `SELECT DISTINCT` statement to fetch all unique `transactionno` values from the table.\n\n```sql\nSELECT DISTINCT transactionno FROM salesTransactions;\n```","cost":0.000513,"response_parsed":"SELECT DISTINCT transactionno FROM salesTransactions;","time":4.0938265324}} {"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":"\n\nTo find all `transactionno` values that appear at most once in the `salesTransactions` table, you can use the following SQL query. This query groups the transactions by `transactionno` and filters those groups that have one or fewer records.\n\n```sql\nSELECT transactionno\nFROM salesTransactions\nGROUP BY transactionno\nHAVING COUNT(transactionno) <= 1;\n```","cost":0.0005688,"response_parsed":"SELECT transactionno\nFROM salesTransactions\nGROUP BY transactionno\nHAVING COUNT(transactionno) <= 1;","time":6.3998448849}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average price for each country in the `salesTransactions` table and then filters the results to include only those countries where the average price is at most 11.95.\n\nHere is the SQL code:\n\n```sql\nSELECT country, AVG(price) AS average_price\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(price) <= 11.95;\n```\n\nThis query:\n1. Selects the `country` column and calculates the average price for each country using `AVG(price)`.\n2. Groups the results by the `country` column.\n3. Filters the results to include only those countries where the average price is at most 11.95 using the `HAVING` clause.","cost":0.000666,"response_parsed":"SELECT country, AVG(price) AS average_price\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(price) <= 11.95;","time":6.7769374847}} {"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":"\n\nTo fetch the country where the summation of the price is at least 238.94 from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country FROM salesTransactions GROUP BY country HAVING SUM(price) >= 238.94;\n```","cost":0.0005742,"response_parsed":"SELECT country FROM salesTransactions GROUP BY country HAVING SUM(price) >= 238.94;","time":6.5159528255}} {"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":"\n\nTo fetch the country where the summation of the `price` is at most 238.94 from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price) <= 238.94;\n```\n\nThis query:\n1. Groups the rows in the `salesTransactions` table by the `country` column.\n2. Calculates the sum of the `price` for each group using the `SUM()` function.\n3. Filters the results to include only those groups where the sum of `price` is less than or equal to 238.94 using the `HAVING` clause.","cost":0.0005688,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING SUM(price) <= 238.94;","time":4.982524395}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average of the `customerno` for each country in the `salesTransactions` table and then filters the results to include only those countries where the average `customerno` is at least 15215.25.\n\nHere is the SQL code:\n\n```sql\nSELECT country, AVG(customerno) AS average_customerno\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) >= 15215.25;\n```\n\n### Explanation:\n1. **SELECT country, AVG(customerno) AS average_customerno**:\n - This selects the `country` column and calculates the average of the `customerno` for each country. The `AS` keyword is used to alias the calculated average as `average_customerno` for clarity.\n\n2. **FROM salesTransactions**:\n - This specifies the table from which to retrieve the data, which is `salesTransactions`.\n\n3. **GROUP BY country**:\n - This groups the rows in the result set by the `country` column, allowing us to calculate the average `customerno` for each country separately.\n\n4. **HAVING AVG(customerno) >= 15215.25**:\n - This filters the grouped results to include only those countries where the average `customerno` is at least 15215.25.\n\nThis query will return a list of countries along with their average `customerno`, but only for those countries where the average meets or exceeds the specified threshold.","cost":0.0008613,"response_parsed":"SELECT country, AVG(customerno) AS average_customerno\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) >= 15215.25;","time":7.7940773964}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average of the `customerno` for each country in the `salesTransactions` table and then filters the results to include only those countries where the average `customerno` is at most 15215.25.\n\nHere is the SQL code:\n\n```sql\nSELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) <= 15215.25;\n```\n\n### Explanation:\n1. **SELECT country**: This selects the `country` column from the `salesTransactions` table.\n2. **FROM salesTransactions**: This specifies the table from which to retrieve the data.\n3. **GROUP BY country**: This groups the rows by the `country` column, allowing us to calculate the average `customerno` for each country.\n4. **HAVING AVG(customerno) <= 15215.25**: This filters the results to include only those groups (countries) where the average `customerno` is less than or equal to 15215.25.\n\nThis query will return the list of countries where the average `customerno` is at most 15215.25.","cost":0.0007245,"response_parsed":"SELECT country\nFROM salesTransactions\nGROUP BY country\nHAVING AVG(customerno) <= 15215.25;","time":6.3793501854}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `customerno` values for each country in the `salesTransactions` table and then filter the results to include only those countries where the sum is at least 304305.0.\n\nHere is the SQL code:\n\n```sql\nSELECT country, SUM(customerno) AS total_customers\nFROM \"salesTransactions\"\nGROUP BY country\nHAVING SUM(customerno) >= 304305.0;\n```\n\n### Explanation:\n1. **`SELECT country, SUM(customerno) AS total_customers`**:\n - This selects the `country` column and calculates the sum of the `customerno` values for each country. The `AS total_customers` renames the sum column to `total_customers` for clarity.\n\n2. **`FROM \"salesTransactions\"`**:\n - This specifies the table from which to retrieve the data, which is `salesTransactions`.\n\n3. **`GROUP BY country`**:\n - This groups the rows by the `country` column, allowing us to aggregate the `customerno` values for each country.\n\n4. **`HAVING SUM(customerno) >= 304305.0`**:\n - This filters the grouped results to include only those countries where the sum of `customerno` is at least 304305.0.\n\nThis query will return a list of countries along with the total sum of `customerno` for each country that meets the specified condition.","cost":0.0007281,"response_parsed":"SELECT country, SUM(customerno) AS total_customers\nFROM \"salesTransactions\"\nGROUP BY country\nHAVING SUM(customerno) >= 304305.0;","time":6.0288405418}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `customerno` values for each country in the `salesTransactions` table and then filter the results to include only those countries where the sum is at most 304305.0.\n\nHere is the SQL code:\n\n```sql\nSELECT country, SUM(customerno) AS total_customers\nFROM \"salesTransactions\"\nGROUP BY country\nHAVING SUM(customerno) <= 304305.0;\n```\n\n### Explanation:\n1. **SELECT country, SUM(customerno) AS total_customers**: This selects the `country` column and calculates the sum of `customerno` values, aliasing the sum as `total_customers` for clarity.\n2. **FROM \"salesTransactions\"**: Specifies the table to query.\n3. **GROUP BY country**: Groups the rows by the `country` column so that the sum can be calculated for each country.\n4. **HAVING SUM(customerno) <= 304305.0**: Filters the results to include only those groups (countries) where the sum of `customerno` is at most 304305.0.\n\nThis query will return the list of countries along with their corresponding sums of `customerno` values that meet the condition.","cost":0.0008514,"response_parsed":"SELECT country, SUM(customerno) AS total_customers\nFROM \"salesTransactions\"\nGROUP BY country\nHAVING SUM(customerno) <= 304305.0;","time":7.8614668846}} {"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":"\n\nTo fetch the product names where the average price is at least 11.95 from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productname, AVG(price) AS avg_price\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) >= 11.95;\n```\n\nThis query:\n1. Selects the `productname` and calculates the average price for each product.\n2. Groups the results by `productname`.\n3. Filters the results to include only those products where the average price is at least 11.95.","cost":0.0005634,"response_parsed":"SELECT productname, AVG(price) AS avg_price\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) >= 11.95;","time":4.7946865559}} {"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":"\n\nTo fetch the product names where the average price is at most 11.95, you can use the following SQL query:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) <= 11.95;\n```\n\nThis query:\n1. Selects the `productname` from the `salesTransactions` table\n2. Groups the results by `productname`\n3. Filters the results to include only those groups where the average `price` is less than or equal to 11.95","cost":0.0005301,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(price) <= 11.95;","time":4.0846712589}} {"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":"\n\nTo fetch the product names where the sum of their prices is at least 11.95 from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productname \nFROM `salesTransactions` \nGROUP BY productname \nHAVING SUM(price) >= 11.95;\n```\n\nThis query:\n1. Selects the `productname` from the `salesTransactions` table.\n2. Groups the results by `productname`.\n3. Filters the results to include only those groups where the sum of the `price` is at least 11.95.","cost":0.0008199,"response_parsed":"SELECT productname \nFROM `salesTransactions` \nGROUP BY productname \nHAVING SUM(price) >= 11.95;","time":6.9079494476}} {"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":"\n\nTo fetch the product names where the sum of their prices is at most 11.95 from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(price) <= 11.95;\n```\n\nThis query:\n1. Groups the rows by `productname`.\n2. Calculates the sum of `price` for each group.\n3. Filters the results to include only those groups where the sum of `price` is less than or equal to 11.95.","cost":0.0006372,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(price) <= 11.95;","time":5.1902782917}} {"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":"\n\nTo fetch the product names where the average `customerno` is at least 15215.25, you can use the SQL `AVG()` function along with the `GROUP BY` and `HAVING` clauses. Here's the SQL code:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(customerno) >= 15215.25;\n```\n\nThis query will:\n1. Group the rows in your `salesTransactions` table by `productname`.\n2. Calculate the average `customerno` for each group.\n3. Return only those `productname`s where the average `customerno` is at least 15215.25.","cost":0.0007218,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(customerno) >= 15215.25;","time":6.4080283642}} {"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":"\n\nTo answer the question, we need to fetch the product names from the `salesTransactions` table where the average value of `customerno` is at most 15215.25. Here's the SQL code to achieve this:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(customerno) <= 15215.25;\n```\n\nThis SQL query:\n1. Selects the `productname` from the `salesTransactions` table.\n2. Groups the results by `productname`.\n3. Filters the results to include only those groups where the average `customerno` is less than or equal to 15215.25.","cost":0.0008595,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING AVG(customerno) <= 15215.25;","time":7.921079874}} {"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":"\n\nTo fetch the product names where the sum of `customerno` is at least 15215.25, you can use the following SQL query:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) >= 15215.25;\n```\n\nThis query:\n1. Groups the rows in the `salesTransactions` table by `productname`.\n2. Calculates the sum of `customerno` for each group.\n3. Filters the results to include only those groups where the sum of `customerno` is at least 15215.25.\n4. Returns the `productname` for the filtered groups.","cost":0.0007578,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) >= 15215.25;","time":6.5610141754}} {"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":"\n\nTo fetch the product names where the sum of `customerno` is at most 15215.25, you can use the following SQL query:\n\n```sql\nSELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) <= 15215.25;\n```\n\nThis query will:\n1. Group the rows in the `salesTransactions` table by `productname`.\n2. Calculate the sum of `customerno` for each group.\n3. Filter the results to include only those groups where the sum of `customerno` is less than or equal to 15215.25.\n4. Return the `productname` for those groups.","cost":0.0006084,"response_parsed":"SELECT productname\nFROM salesTransactions\nGROUP BY productname\nHAVING SUM(customerno) <= 15215.25;","time":5.5307540894}} {"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":"\n\nTo fetch the brand names along with their corresponding device types from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT brandname, devicetype FROM fitnessTrackers;\n```\n\nThis query will return all rows from the `fitnessTrackers` table, showing the `brandname` and `devicetype` for each entry.","cost":0.0004932,"response_parsed":"SELECT brandname, devicetype FROM fitnessTrackers;","time":3.5704112053}} {"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":"\n\nTo fetch the `devicetype` along with the corresponding `strapmaterial` from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, strapmaterial FROM \"fitnessTrackers\";\n```\n\nThis query will return all rows from the `fitnessTrackers` table, showing the `devicetype` and its associated `strapmaterial`.","cost":0.0006048,"response_parsed":"SELECT devicetype, strapmaterial FROM \"fitnessTrackers\";","time":5.2824938297}} {"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":"\n\nTo fetch the color and display information from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT color, display FROM fitnessTrackers;\n```\n\nThis query will return all the rows in your `fitnessTrackers` table, showing the `color` and `display` columns for each entry.","cost":0.0005076,"response_parsed":"SELECT color, display FROM fitnessTrackers;","time":4.5498116016}} {"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":"\n\nTo fetch all `transactionno` along with their corresponding `country` from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT transactionno, country FROM \"salesTransactions\";\n```\n\nThis query will return a list of all `transactionno` values along with their associated `country` values from the `salesTransactions` table.","cost":0.0005112,"response_parsed":"SELECT transactionno, country FROM \"salesTransactions\";","time":4.3605544567}} {"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":"\n\nTo fetch the dates along with their corresponding countries from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT date, country FROM salesTransactions;\n```\n\nThis query will return all the dates and their associated countries from the `salesTransactions` table.","cost":0.0006345,"response_parsed":"SELECT date, country FROM salesTransactions;","time":5.765273571}} {"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":"\n\nTo fetch the `productno` along with their corresponding `country` from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productno, country FROM salesTransactions;\n```\n\nThis query will return all the `productno` values along with their associated `country` values from the `salesTransactions` table.","cost":0.000549,"response_parsed":"SELECT productno, country FROM salesTransactions;","time":4.6169402599}} {"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":"\n\nTo fetch the product names along with their corresponding countries from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT productname, country FROM \"salesTransactions\";\n```\n\nThis query will return a list of all unique combinations of `productname` and `country` present in the `salesTransactions` table.","cost":0.0005607,"response_parsed":"SELECT DISTINCT productname, country FROM \"salesTransactions\";","time":4.7882087231}} {"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":"\n\nTo fetch all data from the `fitnessTrackers` table ordered by `devicetype` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM fitnessTrackers ORDER BY devicetype ASC;\n```","cost":0.0004302,"response_parsed":"SELECT * FROM fitnessTrackers ORDER BY devicetype ASC;","time":3.097391367}} {"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":"\n\nTo fetch all data from the `fitnessTrackers` table ordered by `devicetype` in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM fitnessTrackers ORDER BY devicetype DESC;\n```","cost":0.0003816,"response_parsed":"SELECT * FROM fitnessTrackers ORDER BY devicetype DESC;","time":2.4773647785}} {"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":"\n\nTo fetch all data from the `fitnessTrackers` table ordered by `strapmaterial` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nORDER BY strapmaterial ASC;\n```","cost":0.0003942,"response_parsed":"SELECT *\nFROM fitnessTrackers\nORDER BY strapmaterial ASC;","time":2.7045331001}} {"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":"\n\nTo show all data from the `fitnessTrackers` table ordered by `strapmaterial` in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nORDER BY strapmaterial DESC;\n```\n\nThis query will:\n1. Select all columns (`*`) from the `fitnessTrackers` table.\n2. Order the results by the `strapmaterial` column in descending order (`DESC`).","cost":0.0004725,"response_parsed":"SELECT *\nFROM fitnessTrackers\nORDER BY strapmaterial DESC;","time":3.8531768322}} {"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":"\n\nTo fetch the `sellingprice` from the `fitnessTrackers` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice ASC;\n```","cost":0.000387,"response_parsed":"SELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice ASC;","time":2.801153183}} {"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":"\n\nTo project the `sellingprice` from the `fitnessTrackers` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice DESC;\n```","cost":0.000351,"response_parsed":"SELECT sellingprice\nFROM fitnessTrackers\nORDER BY sellingprice DESC;","time":2.4712641239}} {"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":"\n\nTo project the `color` column from the `fitnessTrackers` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT color FROM fitnessTrackers ORDER BY color ASC;\n```","cost":0.0004059,"response_parsed":"SELECT color FROM fitnessTrackers ORDER BY color ASC;","time":3.2544925213}} {"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":"\n\nTo project the `color` column from the `fitnessTrackers` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT color\nFROM fitnessTrackers\nORDER BY color DESC;\n```","cost":0.0004149,"response_parsed":"SELECT color\nFROM fitnessTrackers\nORDER BY color DESC;","time":3.1687765121}} {"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":"\n\nTo fetch all data from the `salesTransactions` table ordered by `transactionno` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM \"salesTransactions\"\nORDER BY \"transactionno\" ASC;\n```\n\nThis query will:\n1. Select all columns (`*`) from the `salesTransactions` table.\n2. Order the results by the `transactionno` column in ascending order (`ASC`).","cost":0.0004923,"response_parsed":"SELECT *\nFROM \"salesTransactions\"\nORDER BY \"transactionno\" ASC;","time":4.0569951534}} {"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":"\n\nTo fetch all data from the `salesTransactions` table ordered by `transactionno` in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM \"salesTransactions\" ORDER BY \"transactionno\" DESC;\n```","cost":0.0005004,"response_parsed":"SELECT * FROM \"salesTransactions\" ORDER BY \"transactionno\" DESC;","time":4.0562396049}} {"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":"\n\nTo fetch all data from the `salesTransactions` table ordered by `price` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nORDER BY price ASC;\n```","cost":0.0004653,"response_parsed":"SELECT *\nFROM salesTransactions\nORDER BY price ASC;","time":3.5094978809}} {"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":"\n\nTo fetch all data from the `salesTransactions` table ordered by `price` in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nORDER BY price DESC;\n```","cost":0.0004284,"response_parsed":"SELECT *\nFROM salesTransactions\nORDER BY price DESC;","time":3.2232525349}} {"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":"\n\nTo project the `productno` in ascending order from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productno\nFROM salesTransactions\nORDER BY productno ASC;\n```\n\nThis query will:\n1. Select the `productno` column from the `salesTransactions` table.\n2. Order the results in ascending order based on the `productno` values.","cost":0.0004437,"response_parsed":"SELECT productno\nFROM salesTransactions\nORDER BY productno ASC;","time":3.3388235569}} {"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":"\n\nTo project the `productno` in descending order from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productno\nFROM salesTransactions\nORDER BY productno DESC;\n```\n\nThis query will:\n1. Select the `productno` column from the `salesTransactions` table.\n2. Order the results in descending order based on the `productno` values.","cost":0.0004671,"response_parsed":"SELECT productno\nFROM salesTransactions\nORDER BY productno DESC;","time":3.8112187386}} {"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":"\n\nTo project the `quantity` ordered in ascending order from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT quantity \nFROM salesTransactions \nORDER BY quantity ASC;\n```\n\nThis query will:\n1. Select the `quantity` column from the `salesTransactions` table.\n2. Order the results in ascending order based on the `quantity` values.","cost":0.000468,"response_parsed":"SELECT quantity \nFROM salesTransactions \nORDER BY quantity ASC;","time":3.8654959202}} {"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":"\n\nTo project the `quantity` ordered in descending order from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT quantity \nFROM salesTransactions \nORDER BY quantity DESC;\n```\n\nThis query will:\n1. Select the `quantity` column from the `salesTransactions` table.\n2. Order the results in descending order based on the `quantity` values.","cost":0.0004284,"response_parsed":"SELECT quantity \nFROM salesTransactions \nORDER BY quantity DESC;","time":3.0962014198}} {"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":"\n\nTo fetch all `originalprice` values from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT originalprice FROM fitnessTrackers;\n```","cost":0.0005013,"response_parsed":"SELECT originalprice FROM fitnessTrackers;","time":4.4938445091}} {"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":"\n\nTo fetch the `averagebatterylife` from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT averagebatterylife FROM fitnessTrackers;\n```","cost":0.0005211,"response_parsed":"SELECT averagebatterylife FROM fitnessTrackers;","time":4.4606389999}} {"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":"\n\nTo fetch all `devicetype` entries from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype FROM fitnessTrackers;\n```","cost":0.0005175,"response_parsed":"SELECT devicetype FROM fitnessTrackers;","time":4.4613211155}} {"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":"\n\nTo fetch all records from the \"display\" column in the \"fitnessTrackers\" table, you can use the following SQL query:\n\n```sql\nSELECT display FROM fitnessTrackers;\n```\n\nThis query will return all the values in the \"display\" column of your \"fitnessTrackers\" table. If you want to limit the number of results, you can add a LIMIT clause:\n\n```sql\nSELECT display FROM fitnessTrackers LIMIT 10;\n```\n\nThis will return the first 10 records from the \"display\" column.","cost":0.0005499,"response_parsed":"SELECT display FROM fitnessTrackers LIMIT 10;","time":4.6006450653}} {"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":"\n\nTo fetch all brand names from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT brandname FROM fitnessTrackers;\n```","cost":0.0004968,"response_parsed":"SELECT brandname FROM fitnessTrackers;","time":4.0046598911}} {"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":"\n\nTo show all the rows in the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM fitnessTrackers;\n```\n\nThis query will return all columns (`*`) for every row in the `fitnessTrackers` table.","cost":0.0004662,"response_parsed":"SELECT * FROM fitnessTrackers;","time":3.5125851631}} {"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":"\n\nTo fetch all `sellingprice` values from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT sellingprice FROM fitnessTrackers;\n```","cost":0.0005895,"response_parsed":"SELECT sellingprice FROM fitnessTrackers;","time":4.9423134327}} {"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":"\n\nTo fetch the `strapmaterial` and `averagebatterylife` from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT strapmaterial, averagebatterylife\nFROM fitnessTrackers;\n```\n\nThis query will return all rows from the `fitnessTrackers` table, showing only the `strapmaterial` and `averagebatterylife` columns.","cost":0.0004743,"response_parsed":"SELECT strapmaterial, averagebatterylife\nFROM fitnessTrackers;","time":3.8536314964}} {"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":"\n\nTo fetch the `sellingprice`, `modelname`, and `color` from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT sellingprice, modelname, color FROM fitnessTrackers;\n```","cost":0.0005031,"response_parsed":"SELECT sellingprice, modelname, color FROM fitnessTrackers;","time":4.520416975}} {"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":"\n\nTo fetch the requested information from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT modelname, brandname, color, averagebatterylife\nFROM fitnessTrackers;\n```\n\nThis query will return all rows from the `fitnessTrackers` table, displaying the `modelname`, `brandname`, `color`, and `averagebatterylife` columns.","cost":0.0005751,"response_parsed":"SELECT modelname, brandname, color, averagebatterylife\nFROM fitnessTrackers;","time":5.1378147602}} {"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":"\n\nTo fetch the required information from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT devicetype, modelname, brandname, averagebatterylife, display \nFROM fitnessTrackers;\n```\n\nThis query will return all the rows in your `fitnessTrackers` table with the specified columns: `devicetype`, `modelname`, `brandname`, `averagebatterylife`, and `display`.","cost":0.000513,"response_parsed":"SELECT devicetype, modelname, brandname, averagebatterylife, display \nFROM fitnessTrackers;","time":4.8897612095}} {"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":"\n\nTo fetch the requested data from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial\nFROM fitnessTrackers;\n```\n\nThis query will return all records from the `fitnessTrackers` table with the specified columns: `rating`, `averagebatterylife`, `originalprice`, `sellingprice`, `brandname`, and `strapmaterial`.","cost":0.0005526,"response_parsed":"SELECT rating, averagebatterylife, originalprice, sellingprice, brandname, strapmaterial\nFROM fitnessTrackers;","time":4.9707739353}} {"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":"\n\nTo fetch the specified columns from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype\nFROM fitnessTrackers;\n```","cost":0.0005337,"response_parsed":"SELECT strapmaterial, rating, averagebatterylife, brandname, display, sellingprice, devicetype\nFROM fitnessTrackers;","time":4.5286252499}} {"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":"\n\nTo fetch the specified columns from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname\nFROM fitnessTrackers;\n```\n\nThis query will return all the records from the `fitnessTrackers` table with the columns: `averagebatterylife`, `devicetype`, `strapmaterial`, `brandname`, `rating`, `color`, `sellingprice`, and `modelname`.","cost":0.000576,"response_parsed":"SELECT averagebatterylife, devicetype, strapmaterial, brandname, rating, color, sellingprice, modelname\nFROM fitnessTrackers;","time":4.9656817913}} {"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":"\n\nTo fetch the requested data from the `fitnessTrackers` table, you can use the following SQL query:\n\n```sql\nSELECT color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice\nFROM \"fitnessTrackers\";\n```\n\nThis query selects all the specified columns from the `fitnessTrackers` table.","cost":0.0005211,"response_parsed":"SELECT color, modelname, averagebatterylife, strapmaterial, display, brandname, sellingprice, devicetype, originalprice\nFROM \"fitnessTrackers\";","time":4.3022613525}} {"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":"\n\nTo fetch all `productno` from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productno FROM salesTransactions;\n```","cost":0.0005004,"response_parsed":"SELECT productno FROM salesTransactions;","time":4.3055634499}} {"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":"\n\nTo fetch all countries from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT \"country\" FROM \"salesTransactions\";\n```\n\nThis query will return a list of all unique country names present in the `salesTransactions` table.","cost":0.0005292,"response_parsed":"SELECT DISTINCT \"country\" FROM \"salesTransactions\";","time":4.4876055717}} {"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":"\n\nTo fetch all `transactionno` from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT transactionno FROM salesTransactions;\n```\n\nThis query will return all the values in the `transactionno` column of your `salesTransactions` table.","cost":0.0004626,"response_parsed":"SELECT transactionno FROM salesTransactions;","time":3.4880337715}} {"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":"\n\nTo fetch all the prices from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT price FROM salesTransactions;\n```\n\nThis query will return all the values in the `price` column of your `salesTransactions` table.","cost":0.000342,"response_parsed":"SELECT price FROM salesTransactions;","time":2.3595206738}} {"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":"\n\nTo fetch all product names from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT productname FROM salesTransactions;\n```\n\nThis query will return all unique product names in the `salesTransactions` table.","cost":0.0004563,"response_parsed":"SELECT DISTINCT productname FROM salesTransactions;","time":3.9153869152}} {"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":"\n\nTo show all the rows in the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM salesTransactions;\n```\n\nThis query will return all rows and columns from the `salesTransactions` table.","cost":0.0005148,"response_parsed":"SELECT * FROM salesTransactions;","time":4.3366203308}} {"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":"\n\nTo fetch all the quantities from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT quantity FROM salesTransactions;\n```","cost":0.0003717,"response_parsed":"SELECT quantity FROM salesTransactions;","time":2.8593161106}} {"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":"\n\nTo fetch the `price` and `productno` from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT price, productno FROM salesTransactions;\n```","cost":0.0004374,"response_parsed":"SELECT price, productno FROM salesTransactions;","time":3.0860750675}} {"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":"\n\nTo fetch the `price`, `customerno`, and `date` from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT price, customerno, date FROM salesTransactions;\n```\n\nThis query will return all rows in your `salesTransactions` table with the specified columns: `price`, `customerno`, and `date`.","cost":0.0005256,"response_parsed":"SELECT price, customerno, date FROM salesTransactions;","time":4.4201178551}} {"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":"\n\nTo fetch the required information from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productno, customerno, quantity, productname FROM salesTransactions;\n```\n\nThis query will return all rows from the `salesTransactions` table, displaying the columns `productno`, `customerno`, `quantity`, and `productname`.","cost":0.0005589,"response_parsed":"SELECT productno, customerno, quantity, productname FROM salesTransactions;","time":4.9387273788}} {"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":"\n\nTo fetch the date, quantity, productno, price, and country from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT date, quantity, productno, price, country FROM salesTransactions;\n```\n\nThis query will return all rows from your `salesTransactions` table with the specified columns.","cost":0.0005121,"response_parsed":"SELECT date, quantity, productno, price, country FROM salesTransactions;","time":4.0352494717}} {"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":"\n\nTo fetch the requested data from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT productno, price, country, customerno, transactionno, productname\nFROM \"salesTransactions\";\n```\n\nThis query will return all the rows in your table with the specified columns: `productno`, `price`, `country`, `customerno`, `transactionno`, and `productname`.","cost":0.0005616,"response_parsed":"SELECT productno, price, country, customerno, transactionno, productname\nFROM \"salesTransactions\";","time":4.7985639572}} {"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":"\n\nTo fetch the specified columns from the `salesTransactions` table, you can use the following SQL query:\n\n```sql\nSELECT price, date, transactionno, productno, customerno, country, quantity \nFROM \"salesTransactions\";\n```\n\nThis query will return all the rows in your table with the columns: `price`, `date`, `transactionno`, `productno`, `customerno`, `country`, and `quantity`.","cost":0.00054,"response_parsed":"SELECT price, date, transactionno, productno, customerno, country, quantity \nFROM \"salesTransactions\";","time":16.8542346954}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the color is equal to \"White\", you can use the following SQL query:\n\n```sql\nSELECT * FROM fitnessTrackers WHERE color = 'White';\n```","cost":0.0005643,"response_parsed":"SELECT * FROM fitnessTrackers WHERE color = 'White';","time":8.4526622295}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the color is different from \"Black\", you can use the following SQL query:\n\n```sql\nSELECT * FROM fitnessTrackers WHERE color != 'Black';\n```","cost":0.0005616,"response_parsed":"SELECT * FROM fitnessTrackers WHERE color != 'Black';","time":23.2752745152}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the color is not equal to \"Black\", you can use the following SQL query:\n\n```sql\nSELECT * FROM fitnessTrackers WHERE color != 'Black';\n```","cost":0.0005058,"response_parsed":"SELECT * FROM fitnessTrackers WHERE color != 'Black';","time":9.5338668823}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where `strapmaterial` is equal to \"Thermoplastic polyurethane\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE strapmaterial = 'Thermoplastic polyurethane';\n```","cost":0.0004815,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE strapmaterial = 'Thermoplastic polyurethane';","time":7.009802103}} {"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":"\n\n```sql\nSELECT * FROM fitnessTrackers WHERE strapmaterial <> 'Thermoplastic polyurethane';\n```","cost":0.0004599,"response_parsed":"SELECT * FROM fitnessTrackers WHERE strapmaterial <> 'Thermoplastic polyurethane';","time":3.5987014771}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where `strapmaterial` is not equal to \"Aluminium\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE strapmaterial != 'Aluminium';\n```","cost":0.0004392,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE strapmaterial != 'Aluminium';","time":5.4280798435}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `display` is equal to \"TFT-LCD Display\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE display = 'TFT-LCD Display';\n```","cost":0.0004869,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE display = 'TFT-LCD Display';","time":4.1870098114}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `display` is different from \"TFT-LCD Display\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE display != 'TFT-LCD Display';\n```","cost":0.0004635,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE display != 'TFT-LCD Display';","time":4.7589025497}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `display` is not equal to \"AMOLED Display\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE display != 'AMOLED Display';\n```","cost":0.0004959,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE display != 'AMOLED Display';","time":3.9190461636}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `averagebatterylife` is greater than 14, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE averagebatterylife > 14;\n```","cost":0.0005049,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE averagebatterylife > 14;","time":3.9611473083}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `sellingprice` is greater than 45690.0, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE sellingprice > 45690.0;\n```","cost":0.0005634,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE sellingprice > 45690.0;","time":5.6266691685}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `sellingprice` is less than 46990.0, you can use the following SQL query:\n\n```sql\nSELECT * FROM fitnessTrackers WHERE sellingprice < 46990.0;\n```\n\nThis query will return all rows in the `fitnessTrackers` table where the `sellingprice` is less than 46990.0.","cost":0.0005076,"response_parsed":"SELECT * FROM fitnessTrackers WHERE sellingprice < 46990.0;","time":3.6775579453}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `rating` is greater than 4.6, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM fitnessTrackers\nWHERE rating > 4.6;\n```","cost":0.0006039,"response_parsed":"SELECT *\nFROM fitnessTrackers\nWHERE rating > 4.6;","time":4.8689131737}} {"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":"\n\nTo fetch the data from the `fitnessTrackers` table where the `rating` is less than 4.0, you can use the following SQL query:\n\n```sql\nSELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0;\n```","cost":0.0004743,"response_parsed":"SELECT * FROM `fitnessTrackers` WHERE `rating` < 4.0;","time":3.8343839645}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the date is equal to '12\/1\/2018', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE date = '12\/1\/2018';\n```","cost":0.0006462,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date = '12\/1\/2018';","time":5.6089069843}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the date is different from '9\/15\/2019', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE date != '9\/15\/2019';\n```\n\nThis query will return all rows from the `salesTransactions` table where the `date` column does not match '9\/15\/2019'.","cost":0.0005301,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date != '9\/15\/2019';","time":5.1297643185}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the `date` is not equal to '12\/1\/2018', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE date <> '12\/1\/2018';\n```\n\nThis query will return all rows from the `salesTransactions` table where the `date` column does not match '12\/1\/2018'.","cost":0.0005373,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE date <> '12\/1\/2018';","time":4.2043321133}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where `transactionno` is equal to 566959, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE transactionno = '566959';\n```","cost":0.0004464,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE transactionno = '566959';","time":3.608767271}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where `transactionno` is different from \"579557\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE transactionno != '579557';\n```\n\nThis query will return all rows from the `salesTransactions` table where the `transactionno` is not equal to \"579557\".","cost":0.0004635,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE transactionno != '579557';","time":3.8487534523}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where `transactionno` is not equal to 549047, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE transactionno != '549047';\n```\n\nThis query will return all rows from the `salesTransactions` table except the row where `transactionno` is 549047.","cost":0.0004653,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE transactionno != '549047';","time":3.5389213562}} {"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":"\n\n```sql\nSELECT * FROM salesTransactions WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';\n```","cost":0.0005049,"response_parsed":"SELECT * FROM salesTransactions WHERE productname = 'Metal-4-Hook-Hanger-French-Chateau';","time":3.9986515045}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the `productname` is different from \"Skulls-Water-Transfer-Tattoos,\" you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE productname != 'Skulls-Water-Transfer-Tattoos';\n```","cost":0.0006651,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE productname != 'Skulls-Water-Transfer-Tattoos';","time":5.9756674767}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the `productname` is not equal to 'Pink-Party-Bags', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE productname <> 'Pink-Party-Bags';\n```","cost":0.0005166,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE productname <> 'Pink-Party-Bags';","time":4.2812600136}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the `price` is greater than 13.27, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE price > 13.27;\n```","cost":0.0004851,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE price > 13.27;","time":4.570887804}} {"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":"\n\n```sql\nSELECT * FROM salesTransactions WHERE price < 6.19;\n```","cost":0.0005796,"response_parsed":"SELECT * FROM salesTransactions WHERE price < 6.19;","time":5.0560657978}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the `quantity` is greater than 2, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM salesTransactions\nWHERE quantity > 2;\n```","cost":0.0004293,"response_parsed":"SELECT *\nFROM salesTransactions\nWHERE quantity > 2;","time":3.2873315811}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where the `quantity` is less than 1, you can use the following SQL query:\n\n```sql\nSELECT * FROM salesTransactions WHERE quantity < 1;\n```","cost":0.0005202,"response_parsed":"SELECT * FROM salesTransactions WHERE quantity < 1;","time":4.0422716141}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where `customerno` is greater than 14001.0, you can use the following SQL query:\n\n```sql\nSELECT * FROM salesTransactions WHERE customerno > 14001.0;\n```","cost":0.0005427,"response_parsed":"SELECT * FROM salesTransactions WHERE customerno > 14001.0;","time":4.8261108398}} {"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":"\n\nTo fetch the data from the `salesTransactions` table where `customerno` is less than 14001.0, you can use the following SQL query:\n\n```sql\nSELECT * FROM salesTransactions WHERE customerno < 14001.0;\n```","cost":0.0006957,"response_parsed":"SELECT * FROM salesTransactions WHERE customerno < 14001.0;","time":5.9110612869}} {"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":"\n\nTo determine how many different `strapmaterial` values exist in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT strapmaterial) \nFROM fitnessTrackers;\n```","cost":0.0005409,"response_parsed":"SELECT COUNT(DISTINCT strapmaterial) \nFROM fitnessTrackers;","time":4.4766392708}} {"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":"\n\nTo determine how many different brand names are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT brandname) FROM fitnessTrackers;\n```","cost":0.0004356,"response_parsed":"SELECT COUNT(DISTINCT brandname) FROM fitnessTrackers;","time":4.1175510883}} {"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":"\n\nTo determine how many different `modelname`s are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT modelname) FROM `fitnessTrackers`;\n```","cost":0.0004824,"response_parsed":"SELECT COUNT(DISTINCT modelname) FROM `fitnessTrackers`;","time":4.0759739876}} {"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":"\n\nTo determine how many different colors are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT color) AS numberOfColors\nFROM fitnessTrackers;\n```\n\nThis query will return the number of distinct colors available in the `fitnessTrackers` table.","cost":0.0004149,"response_parsed":"SELECT COUNT(DISTINCT color) AS numberOfColors\nFROM fitnessTrackers;","time":3.4828567505}} {"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":"\n\nTo determine how many different displays are in the `fitnessTrackers` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT display) AS display_count FROM fitnessTrackers;\n```\n\nThis query will return the number of unique display values in the `fitnessTrackers` table.","cost":0.0004392,"response_parsed":"SELECT COUNT(DISTINCT display) AS display_count FROM fitnessTrackers;","time":3.6882836819}} {"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":"\n\nTo find the maximum rating for the table `fitnessTrackers`, you can use the SQL `MAX()` function. Here is the SQL code:\n\n```sql\nSELECT MAX(rating) AS max_rating FROM fitnessTrackers;\n```\n\nThis query will return the highest rating value from the `rating` column in the `fitnessTrackers` table.","cost":0.0006174,"response_parsed":"SELECT MAX(rating) AS max_rating FROM fitnessTrackers;","time":5.9162957668}} {"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":"\n\nTo find the minimum rating for the table `fitnessTrackers`, you can use the SQL `MIN()` function on the `rating` column. Here's the SQL code:\n\n```sql\nSELECT MIN(rating) FROM fitnessTrackers;\n```","cost":0.000432,"response_parsed":"SELECT MIN(rating) FROM fitnessTrackers;","time":3.3418064117}} {"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":"\n\nTo find the average rating for the table `fitnessTrackers`, you can use the SQL `AVG()` function on the `rating` column. Here is the SQL code:\n\n```sql\nSELECT AVG(rating) AS average_rating FROM fitnessTrackers;\n```\n\nThis query will calculate the average value of the `rating` column in the `fitnessTrackers` table and return it as `average_rating`.","cost":0.0005157,"response_parsed":"SELECT AVG(rating) AS average_rating FROM fitnessTrackers;","time":4.5544302464}} {"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":"\n\nTo find the maximum `originalprice` for the table `fitnessTrackers`, you can use the SQL `MAX()` function. Here is the SQL code:\n\n```sql\nSELECT MAX(originalprice) AS max_originalprice FROM fitnessTrackers;\n```\n\nThis query will return the highest value in the `originalprice` column of the `fitnessTrackers` table.","cost":0.0004761,"response_parsed":"SELECT MAX(originalprice) AS max_originalprice FROM fitnessTrackers;","time":3.8179252148}} {"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":"\n\nTo find the minimum `originalprice` from the `fitnessTrackers` table, you can use the SQL `MIN()` function. Here's the SQL code:\n\n```sql\nSELECT MIN(originalprice) AS minimum_originalprice FROM fitnessTrackers;\n```","cost":0.0004455,"response_parsed":"SELECT MIN(originalprice) AS minimum_originalprice FROM fitnessTrackers;","time":3.6295907497}} {"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":"\n\nTo find the average `originalprice` for the table `fitnessTrackers`, you can use the SQL `AVG()` function. Here is the SQL code:\n\n```sql\nSELECT AVG(originalprice) AS average_originalprice FROM fitnessTrackers;\n```\n\nThis query will calculate the average value of the `originalprice` column in the `fitnessTrackers` table and return it under the alias `average_originalprice`.","cost":0.0004887,"response_parsed":"SELECT AVG(originalprice) AS average_originalprice FROM fitnessTrackers;","time":4.0073254108}} {"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":"\n\nTo determine how many different `transactionno` values exist in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT transactionno) FROM salesTransactions;\n```","cost":0.000486,"response_parsed":"SELECT COUNT(DISTINCT transactionno) FROM salesTransactions;","time":4.0202412605}} {"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":"\n\nTo determine how many different dates are in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT date) \nFROM salesTransactions;\n```","cost":0.0005598,"response_parsed":"SELECT COUNT(DISTINCT date) \nFROM salesTransactions;","time":4.7631118298}} {"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":"\n\nTo determine how many different `productno` values exist in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT productno) AS \"Number of Unique Product Nos\" \nFROM salesTransactions;\n```\n\nThis query will return the number of unique `productno` values in your `salesTransactions` table.","cost":0.0005121,"response_parsed":"SELECT COUNT(DISTINCT productno) AS \"Number of Unique Product Nos\" \nFROM salesTransactions;","time":4.1801612377}} {"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":"\n\nTo determine how many different `productname`s are in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT productname) AS numberOfUniqueProducts \nFROM `salesTransactions`;\n```\n\nThis query will return the number of unique product names in your `salesTransactions` table.","cost":0.0004599,"response_parsed":"SELECT COUNT(DISTINCT productname) AS numberOfUniqueProducts \nFROM `salesTransactions`;","time":3.5820558071}} {"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":"\n\nTo determine how many different countries are in the `salesTransactions` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT country) AS \"Number of Countries\" FROM salesTransactions;\n```\n\nThis query will return the number of unique countries present in the `country` column of the `salesTransactions` table.","cost":0.0005022,"response_parsed":"SELECT COUNT(DISTINCT country) AS \"Number of Countries\" FROM salesTransactions;","time":3.8020784855}} {"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":"\n\nTo find the maximum price in the `salesTransactions` table, you can use the SQL `MAX()` function on the `price` column. Here's the SQL code:\n\n```sql\nSELECT MAX(price) AS max_price FROM salesTransactions;\n```\n\nThis query will return the highest value in the `price` column of your `salesTransactions` table.","cost":0.0004824,"response_parsed":"SELECT MAX(price) AS max_price FROM salesTransactions;","time":4.181075573}} {"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":"\n\nTo find the minimum price in the `salesTransactions` table, you can use the SQL `MIN()` function. Here's the SQL query:\n\n```sql\nSELECT MIN(price) FROM \"salesTransactions\";\n```","cost":0.0004428,"response_parsed":"SELECT MIN(price) FROM \"salesTransactions\";","time":3.6545529366}} {"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":"\n\nTo find the average price for the table `salesTransactions`, you can use the SQL `AVG()` function on the `price` column. Here's the SQL code:\n\n```sql\nSELECT AVG(price) AS average_price FROM salesTransactions;\n```\n\nThis query will calculate and return the average value of the `price` column in your `salesTransactions` table.","cost":0.0004851,"response_parsed":"SELECT AVG(price) AS average_price FROM salesTransactions;","time":3.7298851013}} {"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":"\n\nTo find the maximum `customerno` from the `salesTransactions` table, you can use the SQL `MAX()` function. Here's the SQL code:\n\n```sql\nSELECT MAX(customerno) AS max_customerno FROM salesTransactions;\n```\n\nThis query will return the highest `customerno` value in your `salesTransactions` table.","cost":0.0004914,"response_parsed":"SELECT MAX(customerno) AS max_customerno FROM salesTransactions;","time":4.1347596645}} {"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":"\n\nTo find the minimum `customerno` from the `salesTransactions` table, you can use the SQL `MIN()` function. Here's the SQL code:\n\n```sql\nSELECT MIN(customerno) AS minimum_customerno FROM salesTransactions;\n```\n\nThis query will return the smallest `customerno` value in your `salesTransactions` table.","cost":0.0005373,"response_parsed":"SELECT MIN(customerno) AS minimum_customerno FROM salesTransactions;","time":4.7585511208}} {"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":"\n\nTo find the average `customerno` for the table `salesTransactions`, you can use the SQL `AVG()` function. Here's the SQL code:\n\n```sql\nSELECT AVG(customerno) AS average_customerno FROM salesTransactions;\n```\n\nThis query will calculate the average value of the `customerno` column in your `salesTransactions` table and return it under the alias `average_customerno`.","cost":0.0004743,"response_parsed":"SELECT AVG(customerno) AS average_customerno FROM salesTransactions;","time":3.6603291035}} {"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":"\n\nTo fetch the different payment types from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT paymenttype FROM accountFraud;\n```\n\nThis query will return all unique values in the `paymenttype` column of the `accountFraud` table.","cost":0.0006165,"response_parsed":"SELECT DISTINCT paymenttype FROM accountFraud;","time":4.7334902287}} {"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":"\n\nTo show the different `housingstatus` values in the `accountFraud` table, you can use the `DISTINCT` keyword in SQL to fetch unique values. Here is the SQL code:\n\n```sql\nSELECT DISTINCT \"housingstatus\" FROM \"accountFraud\";\n```","cost":0.0005517,"response_parsed":"SELECT DISTINCT \"housingstatus\" FROM \"accountFraud\";","time":4.2753465176}} {"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":"\n\nTo show the different `deviceos` in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT deviceos FROM accountFraud;\n```\n\nThis query will return all unique values in the `deviceos` column of the `accountFraud` table.","cost":0.000567,"response_parsed":"SELECT DISTINCT deviceos FROM accountFraud;","time":4.7684471607}} {"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":"\n\nTo show the different values of `emailisfree` in the `accountFraud` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here is the SQL code:\n\n```sql\nSELECT DISTINCT emailisfree FROM accountFraud;\n```\n\nThis query will return all unique values in the `emailisfree` column of the `accountFraud` table.","cost":0.0005472,"response_parsed":"SELECT DISTINCT emailisfree FROM accountFraud;","time":4.3906140327}} {"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":"\n\nTo show the different values of `hasothercards` in the `accountFraud` table, you can use the `SELECT DISTINCT` statement. Here is the SQL code:\n\n```sql\nSELECT DISTINCT \"hasothercards\" FROM \"accountFraud\";\n```","cost":0.0004671,"response_parsed":"SELECT DISTINCT \"hasothercards\" FROM \"accountFraud\";","time":3.3282351494}} {"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":"\n\nTo fetch the different `customerid` values from the `latePayment` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here's the SQL code:\n\n```sql\nSELECT DISTINCT customerid FROM latePayment;\n```","cost":0.0004977,"response_parsed":"SELECT DISTINCT customerid FROM latePayment;","time":3.7463824749}} {"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":"\n\nTo fetch the different `invoicedate` values from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT invoicedate FROM latePayment;\n```\n\nThis query will return all unique `invoicedate` values present in the `latePayment` table.","cost":0.0005553,"response_parsed":"SELECT DISTINCT invoicedate FROM latePayment;","time":4.2653264999}} {"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":"\n\nTo fetch the different `duedate` values from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT duedate FROM latePayment;\n```\n\nThis query will return all unique values in the `duedate` column of the `latePayment` table.","cost":0.0004527,"response_parsed":"SELECT DISTINCT duedate FROM latePayment;","time":3.2770974636}} {"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":"\n\nTo retrieve the different values of `paperlessbill` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT paperlessbill FROM latePayment;\n```\n\nThis query will return all unique values in the `paperlessbill` column of the `latePayment` table.","cost":0.0004968,"response_parsed":"SELECT DISTINCT paperlessbill FROM latePayment;","time":3.7049725056}} {"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":"\n\nTo show the different values in the `disputed` column of the `latePayment` table, you can use the `DISTINCT` keyword in SQL to fetch unique values. Here's the SQL code:\n\n```sql\nSELECT DISTINCT disputed FROM latePayment;\n```","cost":0.0004365,"response_parsed":"SELECT DISTINCT disputed FROM latePayment;","time":3.0589928627}} {"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":"\n\nTo count the number of rows for each `employmentstatus` in the `accountFraud` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus,\n COUNT(*) AS row_count\nFROM \n accountFraud\nGROUP BY \n employmentstatus\nORDER BY \n row_count DESC;\n```\n\nThis query will:\n1. Select the `employmentstatus` column\n2. Count the number of rows for each `employmentstatus` using `COUNT(*)`\n3. Group the results by `employmentstatus`\n4. Optionally, order the results by the count in descending order (you can remove the `ORDER BY` clause if you don't need sorting)","cost":0.0005553,"response_parsed":"SELECT \n employmentstatus,\n COUNT(*) AS row_count\nFROM \n accountFraud\nGROUP BY \n employmentstatus\nORDER BY \n row_count DESC;","time":4.2128379345}} {"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":"\n\nTo count the number of rows for each `deviceos` in the `accountFraud` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n deviceos,\n COUNT(*) as row_count\nFROM \n accountFraud\nGROUP BY \n deviceos;\n```\n\nThis query will return the number of rows for each unique `deviceos` value in your `accountFraud` table.","cost":0.0004653,"response_parsed":"SELECT \n deviceos,\n COUNT(*) as row_count\nFROM \n accountFraud\nGROUP BY \n deviceos;","time":3.24395895}} {"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":"\n\nTo count the number of rows in the `accountFraud` table for each `emailisfree` value, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n emailisfree, \n COUNT(*) as count_rows\nFROM \n accountFraud\nGROUP BY \n emailisfree;\n```\n\nThis query will return the number of rows for each unique `emailisfree` value in the `accountFraud` table.","cost":0.0005472,"response_parsed":"SELECT \n emailisfree, \n COUNT(*) as count_rows\nFROM \n accountFraud\nGROUP BY \n emailisfree;","time":3.9046318531}} {"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":"\n\nTo count the number of rows in the `accountFraud` table for each `hasothercards` value, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n hasothercards,\n COUNT(*) AS row_count\nFROM \n accountFraud\nGROUP BY \n hasothercards;\n```\n\nThis query will return the number of rows for each distinct value in the `hasothercards` column.","cost":0.0005517,"response_parsed":"SELECT \n hasothercards,\n COUNT(*) AS row_count\nFROM \n accountFraud\nGROUP BY \n hasothercards;","time":4.523491621}} {"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":"\n\nTo count the number of rows for each `housingstatus` in the `accountFraud` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n housingstatus,\n COUNT(*) AS row_count\nFROM \n accountFraud\nGROUP BY \n housingstatus;\n```\n\nThis query will return the number of rows for each distinct `housingstatus` in your `accountFraud` table.","cost":0.0004932,"response_parsed":"SELECT \n housingstatus,\n COUNT(*) AS row_count\nFROM \n accountFraud\nGROUP BY \n housingstatus;","time":3.5263874531}} {"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":"\n\nTo find the minimum value of `dateofbirthdistinctemails4w` for each `emailisfree` in the `accountFraud` table, you can use the SQL `MIN()` function combined with a `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n emailisfree,\n MIN(dateofbirthdistinctemails4w) AS min_dateofbirth\nFROM \n accountFraud\nGROUP BY \n emailisfree;\n```\n\nThis query will return the minimum `dateofbirthdistinctemails4w` value for each distinct `emailisfree` in your table.","cost":0.0005895,"response_parsed":"SELECT \n emailisfree,\n MIN(dateofbirthdistinctemails4w) AS min_dateofbirth\nFROM \n accountFraud\nGROUP BY \n emailisfree;","time":4.4338908195}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the maximum value of `dateofbirthdistinctemails4w` for each unique `emailisfree` in the `accountFraud` table. Here's the SQL code:\n\n```sql\nSELECT \n emailisfree,\n MAX(dateofbirthdistinctemails4w) AS max_dateofbirth\nFROM \n accountFraud\nGROUP BY \n emailisfree\nORDER BY \n emailisfree;\n```\n\nThis SQL query will:\n1. Select the `emailisfree` column and the maximum value of `dateofbirthdistinctemails4w` for each `emailisfree`.\n2. Group the results by the `emailisfree` column.\n3. Optionally, order the results by `emailisfree` for better readability.","cost":0.0005922,"response_parsed":"SELECT \n emailisfree,\n MAX(dateofbirthdistinctemails4w) AS max_dateofbirth\nFROM \n accountFraud\nGROUP BY \n emailisfree\nORDER BY \n emailisfree;","time":4.5051658154}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the average value of the `dateofbirthdistinctemails4w` column for each distinct value in the `emailisfree` column in the `accountFraud` table.\n\nHere is the SQL code:\n\n```sql\nSELECT \n emailisfree,\n AVG(dateofbirthdistinctemails4w) AS average_dateofbirth\nFROM \n accountFraud\nGROUP BY \n emailisfree;\n```\n\nThis SQL query will:\n1. Select the `emailisfree` column.\n2. Calculate the average of the `dateofbirthdistinctemails4w` column for each `emailisfree` value.\n3. Group the results by the `emailisfree` column.","cost":0.0007074,"response_parsed":"SELECT \n emailisfree,\n AVG(dateofbirthdistinctemails4w) AS average_dateofbirth\nFROM \n accountFraud\nGROUP BY \n emailisfree;","time":5.5685384274}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of `dateofbirthdistinctemails4w` for each unique value of `emailisfree` in the `accountFraud` table. Here's the SQL code:\n\n```sql\nSELECT \n emailisfree,\n SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n emailisfree;\n```\n\nThis SQL query will:\n1. Select the `emailisfree` column.\n2. Calculate the sum of `dateofbirthdistinctemails4w` for each `emailisfree` value.\n3. Group the results by the `emailisfree` column.","cost":0.0007119,"response_parsed":"SELECT \n emailisfree,\n SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n emailisfree;","time":6.1306114197}} {"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":"\n\nTo find the minimum `sessionlengthminutes` for each `emailisfree` in the `accountFraud` table, you can use the SQL `MIN` function combined with a `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n emailisfree,\n MIN(sessionlengthminutes) AS min_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree;\n```\n\nThis query will return the minimum `sessionlengthminutes` for each unique `emailisfree` value in your table.","cost":0.0005292,"response_parsed":"SELECT \n emailisfree,\n MIN(sessionlengthminutes) AS min_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree;","time":3.9467871189}} {"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":"\n\nTo find the maximum `sessionlengthminutes` for each `emailisfree` in the `accountFraud` table, you can use the SQL `MAX` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n emailisfree,\n MAX(sessionlengthminutes) AS max_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree;\n```\n\nThis query will return the maximum `sessionlengthminutes` for each unique `emailisfree` value in the `accountFraud` table.","cost":0.0005517,"response_parsed":"SELECT \n emailisfree,\n MAX(sessionlengthminutes) AS max_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree;","time":4.1125650406}} {"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":"\n\nTo find the average of `sessionlengthminutes` for each `emailisfree` in the `accountFraud` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n emailisfree,\n AVG(sessionlengthminutes) AS avg_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree\nORDER BY \n emailisfree;\n```\n\nThis query will:\n1. Select the `emailisfree` column and calculate the average of `sessionlengthminutes` for each group of `emailisfree`.\n2. Group the results by the `emailisfree` column.\n3. Optionally order the results by `emailisfree` for better readability.","cost":0.0006201,"response_parsed":"SELECT \n emailisfree,\n AVG(sessionlengthminutes) AS avg_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree\nORDER BY \n emailisfree;","time":4.5828442574}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of `sessionlengthminutes` for each unique value of `emailisfree` in the `accountFraud` table. This can be achieved using the `SUM()` aggregation function combined with the `GROUP BY` clause.\n\n```sql\nSELECT \n emailisfree,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree;\n```","cost":0.0004734,"response_parsed":"SELECT \n emailisfree,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n emailisfree;","time":3.3438546658}} {"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":"\n\nTo translate the question into SQL code, we need to find the minimum value of `dateofbirthdistinctemails4w` for each `employmentstatus` in the `accountFraud` table. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus,\n MIN(dateofbirthdistinctemails4w) AS min_date\nFROM \n accountFraud\nGROUP BY \n employmentstatus\nORDER BY \n employmentstatus;\n```\n\nThis SQL query:\n1. Selects the `employmentstatus` column and calculates the minimum value of `dateofbirthdistinctemails4w` for each group of `employmentstatus`.\n2. Groups the results by `employmentstatus`.\n3. Optionally orders the results by `employmentstatus` for better readability.","cost":0.00063,"response_parsed":"SELECT \n employmentstatus,\n MIN(dateofbirthdistinctemails4w) AS min_date\nFROM \n accountFraud\nGROUP BY \n employmentstatus\nORDER BY \n employmentstatus;","time":5.1928524971}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the maximum value of `dateofbirthdistinctemails4w` for each `employmentstatus` in the `accountFraud` table. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus,\n MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n employmentstatus;\n```\n\nThis SQL query will:\n1. Group the rows in the `accountFraud` table by the `employmentstatus` column.\n2. For each group (i.e., for each unique `employmentstatus`), it will calculate the maximum value of the `dateofbirthdistinctemails4w` column.\n3. Return a result set with two columns: `employmentstatus` and the maximum `dateofbirthdistinctemails4w` for that status.","cost":0.0005769,"response_parsed":"SELECT \n employmentstatus,\n MAX(dateofbirthdistinctemails4w) AS max_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n employmentstatus;","time":4.2399950027}} {"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":"\n\nTo find the average of `dateofbirthdistinctemails4w` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus,\n AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n employmentstatus;\n```\n\nThis query will:\n1. Group the rows in the `accountFraud` table by the `employmentstatus` column.\n2. Calculate the average value of `dateofbirthdistinctemails4w` for each group.\n3. Return the results with the `employmentstatus` and the corresponding average value.","cost":0.0005967,"response_parsed":"SELECT \n employmentstatus,\n AVG(dateofbirthdistinctemails4w) AS avg_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n employmentstatus;","time":4.4591653347}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of the `dateofbirthdistinctemails4w` column for each unique `employmentstatus` in the `accountFraud` table. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus, \n SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n employmentstatus;\n```\n\nThis SQL query will:\n1. Select the `employmentstatus` column.\n2. Calculate the sum of the `dateofbirthdistinctemails4w` column for each `employmentstatus`.\n3. Group the results by the `employmentstatus` values.","cost":0.0005814,"response_parsed":"SELECT \n employmentstatus, \n SUM(dateofbirthdistinctemails4w) AS sum_dateofbirthdistinctemails4w\nFROM \n accountFraud\nGROUP BY \n employmentstatus;","time":4.4538886547}} {"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":"\n\nTo find the minimum `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus,\n MIN(sessionlengthminutes) AS min_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus;\n```\n\nThis query will return the minimum `sessionlengthminutes` for each distinct `employmentstatus` in your table.","cost":0.0004896,"response_parsed":"SELECT \n employmentstatus,\n MIN(sessionlengthminutes) AS min_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus;","time":3.5258102417}} {"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":"\n\nTo find the maximum `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus,\n MAX(sessionlengthminutes) AS max_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus;\n```\n\nThis query will return the maximum `sessionlengthminutes` for each distinct `employmentstatus` in your table.","cost":0.0004977,"response_parsed":"SELECT \n employmentstatus,\n MAX(sessionlengthminutes) AS max_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus;","time":3.3720035553}} {"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":"\n\nTo find the average `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n employmentstatus,\n AVG(sessionlengthminutes) AS average_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus;\n```\n\nThis query will:\n1. Group the rows in the `accountFraud` table by the `employmentstatus` column.\n2. Calculate the average value of `sessionlengthminutes` for each group.\n3. Return the results with the `employmentstatus` and the corresponding average session length.","cost":0.0005355,"response_parsed":"SELECT \n employmentstatus,\n AVG(sessionlengthminutes) AS average_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus;","time":3.8175730705}} {"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":"\n\nTo fetch the sum of `sessionlengthminutes` for each `employmentstatus` in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT \n employmentstatus,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus\nORDER BY \n employmentstatus;\n```\n\nThis query:\n1. Selects the `employmentstatus` column and calculates the sum of `sessionlengthminutes` for each group of `employmentstatus`.\n2. Groups the results by `employmentstatus`.\n3. Optionally orders the results by `employmentstatus` for better readability.","cost":0.0005436,"response_parsed":"SELECT \n employmentstatus,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n employmentstatus\nORDER BY \n employmentstatus;","time":3.9217562675}} {"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":"\n\nTo count the number of rows in the `latePayment` table for each `paperlessdate`, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n paperlessdate,\n COUNT(*) as count_per_paperlessdate\nFROM \n latePayment\nGROUP BY \n paperlessdate;\n```\n\nThis query will return the number of rows for each unique `paperlessdate` in the `latePayment` table.","cost":0.0005319,"response_parsed":"SELECT \n paperlessdate,\n COUNT(*) as count_per_paperlessdate\nFROM \n latePayment\nGROUP BY \n paperlessdate;","time":4.2987680435}} {"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":"\n\nTo count the number of rows in the `latePayment` table for each `paperlessbill`, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n paperlessbill, \n COUNT(*) AS row_count\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis SQL query will:\n1. Group the rows in the `latePayment` table by the `paperlessbill` column.\n2. Count the number of rows for each unique `paperlessbill` value.\n3. Return a result set with two columns: `paperlessbill` and `row_count` (the number of rows for each `paperlessbill`).","cost":0.000684,"response_parsed":"SELECT \n paperlessbill, \n COUNT(*) AS row_count\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":5.3576366901}} {"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":"\n\nTo count the number of rows for each `customerid` in the `latePayment` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n customerid,\n COUNT(*) AS numberOfLatePayments\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis query will:\n1. Select the `customerid` column.\n2. Count the number of rows for each `customerid` using `COUNT(*)`.\n3. Group the results by the `customerid` column.\n4. Return the number of late payments for each customer.","cost":0.0005679,"response_parsed":"SELECT \n customerid,\n COUNT(*) AS numberOfLatePayments\nFROM \n latePayment\nGROUP BY \n customerid;","time":4.4510900974}} {"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":"\n\nTo count the number of rows for each `duedate` in the `latePayment` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n duedate,\n COUNT(*) as row_count\nFROM \n latePayment\nGROUP BY \n duedate;\n```\n\nThis query will return the number of rows for each unique `duedate` in the `latePayment` table.","cost":0.0005598,"response_parsed":"SELECT \n duedate,\n COUNT(*) as row_count\nFROM \n latePayment\nGROUP BY \n duedate;","time":4.1350529194}} {"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":"\n\nTo count the number of rows for each `invoicedate` in the `latePayment` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n invoicedate,\n COUNT(*) as count_per_invoicedate\nFROM \n latePayment\nGROUP BY \n invoicedate;\n```\n\nThis query will:\n1. Select the `invoicedate` column\n2. Count the number of rows for each `invoicedate`\n3. Group the results by `invoicedate`\n4. Return the results with the count of rows for each `invoicedate`","cost":0.000558,"response_parsed":"SELECT \n invoicedate,\n COUNT(*) as count_per_invoicedate\nFROM \n latePayment\nGROUP BY \n invoicedate;","time":4.5491187572}} {"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":"\n\nTo find the minimum `daystosettle` for each `paperlessbill` in the `latePayment` table, you can use the SQL `MIN()` function combined with a `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n paperlessbill,\n MIN(daystosettle) AS mindaystosettle\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis query will return the minimum `daystosettle` value for each unique `paperlessbill` in your `latePayment` table.","cost":0.0005742,"response_parsed":"SELECT \n paperlessbill,\n MIN(daystosettle) AS mindaystosettle\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":4.9495255947}} {"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":"\n\nTo find the maximum `daystosettle` for each `paperlessbill` in the `latePayment` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n paperlessbill,\n MAX(daystosettle) AS max_daystosettle\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis query will return the maximum `daystosettle` value for each unique `paperlessbill` in your `latePayment` table.","cost":0.0006138,"response_parsed":"SELECT \n paperlessbill,\n MAX(daystosettle) AS max_daystosettle\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":4.7825343609}} {"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":"\n\nTo find the average of `daystosettle` for each `paperlessbill` in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT \n paperlessbill,\n AVG(daystosettle) AS average_daystosettle\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis query will:\n1. Group the rows in the `latePayment` table by the `paperlessbill` column.\n2. Calculate the average value of `daystosettle` for each group.\n3. Return the `paperlessbill` and the corresponding average `daystosettle` for each group.","cost":0.0006309,"response_parsed":"SELECT \n paperlessbill,\n AVG(daystosettle) AS average_daystosettle\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":4.8668351173}} {"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":"\n\nTo fetch the sum of `daystosettle` for each `paperlessbill` from the `latePayment` table, you can use the following SQL 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:\n1. Group the rows in the `latePayment` table by the `paperlessbill` column.\n2. Calculate the sum of the `daystosettle` values for each group.\n3. Return the results with the `paperlessbill` and the corresponding sum of `daystosettle`.","cost":0.0006471,"response_parsed":"SELECT \n paperlessbill,\n SUM(daystosettle) AS total_daystosettle\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":5.242705822}} {"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":"\n\nTo find the minimum number of days late for each paperless bill in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT \n paperlessbill,\n MIN(dayslate) AS mindayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis query will return the minimum `dayslate` value for each unique `paperlessbill` in your `latePayment` table.","cost":0.0005292,"response_parsed":"SELECT \n paperlessbill,\n MIN(dayslate) AS mindayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":3.9977080822}} {"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":"\n\nTo find the maximum `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n paperlessbill,\n MAX(dayslate) AS max_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis query will return the maximum `dayslate` value for each unique `paperlessbill` in the `latePayment` table.","cost":0.0006273,"response_parsed":"SELECT \n paperlessbill,\n MAX(dayslate) AS max_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":4.9999711514}} {"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":"\n\nTo find the average of `dayslate` for each `paperlessbill` in the `latePayment` table, you can use the SQL `AVG()` function combined with `GROUP BY`. Here's the SQL code:\n\n```sql\nSELECT \n paperlessbill,\n AVG(dayslate) AS average_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis query will return the average `dayslate` for each distinct `paperlessbill` in your `latePayment` table.","cost":0.0004842,"response_parsed":"SELECT \n paperlessbill,\n AVG(dayslate) AS average_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":3.9336574078}} {"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":"\n\nTo fetch the sum of `dayslate` for each `paperlessbill` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT \n paperlessbill,\n SUM(dayslate) AS sum_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;\n```\n\nThis query will:\n1. Select the `paperlessbill` column.\n2. Calculate the sum of `dayslate` for each `paperlessbill` using the `SUM()` function.\n3. Group the results by the `paperlessbill` column to ensure the sum is calculated for each unique `paperlessbill`.\n\nThe result will show the total `dayslate` for each `paperlessbill`.","cost":0.0005724,"response_parsed":"SELECT \n paperlessbill,\n SUM(dayslate) AS sum_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessbill;","time":4.5061461926}} {"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":"\n\nTo find the minimum `daystosettle` for each `customerid` in the `latePayment` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n customerid,\n MIN(daystosettle) AS mindaystosettle\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis query will return the minimum `daystosettle` value for each unique `customerid` in your `latePayment` table.","cost":0.0005481,"response_parsed":"SELECT \n customerid,\n MIN(daystosettle) AS mindaystosettle\nFROM \n latePayment\nGROUP BY \n customerid;","time":4.9704642296}} {"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":"\n\nTo find the maximum `daystosettle` for each `customerid` in the `latePayment` table, you can use the SQL `MAX` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n customerid,\n MAX(daystosettle) AS max_daystosettle\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis query will return the maximum `daystosettle` value for each unique `customerid` in your `latePayment` table.","cost":0.000495,"response_parsed":"SELECT \n customerid,\n MAX(daystosettle) AS max_daystosettle\nFROM \n latePayment\nGROUP BY \n customerid;","time":4.0474338531}} {"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":"\n\nTo find the average of `daystosettle` for each `customerid` in the `latePayment` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n customerid,\n AVG(daystosettle) AS avg_daystosettle\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis query will return the average `daystosettle` value for each unique `customerid` in your `latePayment` table.","cost":0.0006507,"response_parsed":"SELECT \n customerid,\n AVG(daystosettle) AS avg_daystosettle\nFROM \n latePayment\nGROUP BY \n customerid;","time":5.6480288506}} {"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":"\n\nTo fetch the sum of `daystosettle` for each `customerid` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT \n customerid,\n SUM(daystosettle) AS total_daystosettle\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis query will:\n1. Select the `customerid` and calculate the sum of `daystosettle` for each `customerid`.\n2. Group the results by `customerid` to ensure the sum is calculated for each individual customer.\n3. Return a table with two columns: `customerid` and `total_daystosettle` (the sum of `daystosettle` for each customer).","cost":0.0005544,"response_parsed":"SELECT \n customerid,\n SUM(daystosettle) AS total_daystosettle\nFROM \n latePayment\nGROUP BY \n customerid;","time":4.1059937477}} {"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":"\n\nTo find the minimum `dayslate` for each `customerid` in the `latePayment` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n customerid,\n MIN(dayslate) AS mindayslate\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis SQL query will:\n1. Select the `customerid` and the minimum value of `dayslate` for each `customerid`.\n2. Group the results by `customerid`.\n3. Return a table with two columns: `customerid` and `mindayslate` (the minimum days late for each customer).","cost":0.000486,"response_parsed":"SELECT \n customerid,\n MIN(dayslate) AS mindayslate\nFROM \n latePayment\nGROUP BY \n customerid;","time":3.4378108978}} {"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":"\n\nTo find the maximum `dayslate` for each `customerid` in the `latePayment` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n customerid,\n MAX(dayslate) AS max_dayslate\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis SQL query will:\n1. Select the `customerid` and the maximum value of `dayslate` for each `customerid`.\n2. Group the results by `customerid`.\n3. Return a table with two columns: `customerid` and `max_dayslate` (the maximum days late for each customer).","cost":0.0004716,"response_parsed":"SELECT \n customerid,\n MAX(dayslate) AS max_dayslate\nFROM \n latePayment\nGROUP BY \n customerid;","time":3.6886310577}} {"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":"\n\nTo find the average of `dayslate` for each `customerid` in the `latePayment` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n customerid,\n AVG(dayslate) AS avg_dayslate\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis query will return the average `dayslate` for each `customerid` in your database.","cost":0.0004968,"response_parsed":"SELECT \n customerid,\n AVG(dayslate) AS avg_dayslate\nFROM \n latePayment\nGROUP BY \n customerid;","time":3.6508319378}} {"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":"\n\nTo fetch the sum of `dayslate` for each `customerid` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT \n customerid,\n SUM(dayslate) AS total_dayslate\nFROM \n latePayment\nGROUP BY \n customerid;\n```\n\nThis query will:\n1. Select the `customerid` and calculate the sum of `dayslate` for each `customerid`.\n2. Group the results by `customerid` to ensure the sum is calculated for each customer individually.\n3. Return a table with two columns: `customerid` and `total_dayslate` (the sum of days late for each customer).","cost":0.0005238,"response_parsed":"SELECT \n customerid,\n SUM(dayslate) AS total_dayslate\nFROM \n latePayment\nGROUP BY \n customerid;","time":4.1693894863}} {"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":"\n\nTo find all `paymenttype` values in the `accountFraud` table that have at least 5 records, you can use the SQL `COUNT()` function along with the `GROUP BY` clause to group the records by `paymenttype` and filter the results using the `HAVING` clause.\n\n```sql\nSELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) >= 5;\n```","cost":0.0005184,"response_parsed":"SELECT paymenttype\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) >= 5;","time":3.9888226986}} {"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":"\n\nTo find all the `paymenttype` values that have at most 5 records in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT paymenttype, COUNT(*) AS record_count\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) <= 5;\n```\n\nThis query:\n1. Groups the records in the `accountFraud` table by the `paymenttype` column.\n2. Counts the number of records for each `paymenttype`.\n3. Filters the results to include only those `paymenttype` values that have 5 or fewer records.","cost":0.0006066,"response_parsed":"SELECT paymenttype, COUNT(*) AS record_count\nFROM accountFraud\nGROUP BY paymenttype\nHAVING COUNT(*) <= 5;","time":4.8388528824}} {"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":"\n\nTo find all the `deviceos` that have at least 5 records in the `accountFraud` table, you can use the SQL `COUNT()` function along with the `GROUP BY` clause to group the records by `deviceos` and filter the results to include only those groups with at least 5 records.\n\nHere is the SQL code:\n\n```sql\nSELECT deviceos, COUNT(*) as record_count\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) >= 5;\n```\n\n### Explanation:\n1. `SELECT deviceos, COUNT(*) as record_count`: This selects the `deviceos` column and counts the number of records for each `deviceos`, aliasing the count as `record_count`.\n2. `FROM accountFraud`: Specifies the table to query.\n3. `GROUP BY deviceos`: Groups the records by the `deviceos` column.\n4. `HAVING COUNT(*) >= 5`: Filters the groups to include only those with at least 5 records.\n\nThis query will return a list of `deviceos` values that appear at least 5 times in the `accountFraud` table, along with the number of records for each `deviceos`.","cost":0.0007389,"response_parsed":"SELECT deviceos, COUNT(*) as record_count\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) >= 5;","time":7.1989104748}} {"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":"\n\nTo find all the `deviceos` that have at most 5 records in the `accountFraud` table, you can use the SQL `COUNT()` function along with `GROUP BY` and `HAVING` clauses. Here's how you can do it:\n\n```sql\nSELECT deviceos, COUNT(*) as count\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) <= 5;\n```\n\nThis query will:\n1. Group the rows in your `accountFraud` table by the `deviceos` column.\n2. Count the number of records for each `deviceos`.\n3. Filter the results to include only those `deviceos` that have 5 or fewer records.\n\nThe result will show each `deviceos` and the number of records it has, but only for those with 5 or fewer records.","cost":0.0005292,"response_parsed":"SELECT deviceos, COUNT(*) as count\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(*) <= 5;","time":4.3894908428}} {"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":"\n\nTo find all the `emailisfree` values that have at least 10 records in the `accountFraud` table, you can use the SQL `COUNT()` function along with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT emailisfree\nFROM accountFraud\nGROUP BY emailisfree\nHAVING COUNT(emailisfree) >= 10;\n```\n\nThis query will:\n1. Group the rows in the `accountFraud` table by the `emailisfree` column.\n2. Count the number of records for each `emailisfree` value.\n3. Return only those `emailisfree` values that have at least 10 records.","cost":0.0007371,"response_parsed":"SELECT emailisfree\nFROM accountFraud\nGROUP BY emailisfree\nHAVING COUNT(emailisfree) >= 10;","time":6.0353620052}} {"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":"\n\nTo find all `emailisfree` values that have at most 10 records in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT \"emailisfree\"\nFROM accountFraud\nGROUP BY \"emailisfree\"\nHAVING COUNT(*) <= 10;\n```\n\nThis query:\n1. Groups the rows in the `accountFraud` table by the `emailisfree` column.\n2. Counts the number of records for each `emailisfree` value.\n3. Filters the results to include only those `emailisfree` values that have 10 or fewer records.","cost":0.0006597,"response_parsed":"SELECT \"emailisfree\"\nFROM accountFraud\nGROUP BY \"emailisfree\"\nHAVING COUNT(*) <= 10;","time":5.369849205}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `hasothercards` value in the `accountFraud` table and then filters the results to include only those `hasothercards` values where the average `creditriskscore` is at least 141.44.\n\nHere is the SQL code:\n\n```sql\nSELECT hasothercards, AVG(creditriskscore) AS average_credit_risk\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(creditriskscore) >= 141.44;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `hasothercards` column and calculate the average of the `creditriskscore` for each group using `AVG(creditriskscore)`. The `AS` keyword is used to alias the average column as `average_credit_risk` for better readability.\n\n2. **FROM Clause**: We specify the table `accountFraud` as the source of data.\n\n3. **GROUP BY Clause**: We group the rows by the `hasothercards` column to calculate the average `creditriskscore` for each distinct value of `hasothercards`.\n\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `creditriskscore` is at least 141.44.\n\nThis query will return the `hasothercards` values and their corresponding average `creditriskscore` for groups where the average meets or exceeds 141.44.","cost":0.0009135,"response_parsed":"SELECT hasothercards, AVG(creditriskscore) AS average_credit_risk\nFROM accountFraud\nGROUP BY hasothercards\nHAVING AVG(creditriskscore) >= 141.44;","time":7.92740798}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `hasothercards` value in the `accountFraud` table and then filters the results to include only those `hasothercards` values where the average `creditriskscore` is at most 141.44.\n\nHere is the SQL code:\n\n```sql\nSELECT \n hasothercards,\n AVG(creditriskscore) AS average_credit_risk_score\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n AVG(creditriskscore) <= 141.44;\n```\n\nThis query:\n1. Groups the data by the `hasothercards` column.\n2. Calculates the average `creditriskscore` for each group.\n3. Filters the results to include only those groups where the average `creditriskscore` is at most 141.44.","cost":0.0006993,"response_parsed":"SELECT \n hasothercards,\n AVG(creditriskscore) AS average_credit_risk_score\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n AVG(creditriskscore) <= 141.44;","time":5.4751906395}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `hasothercards` value and filter the results to include only those where the sum is at least 1144.5.\n\nHere is the SQL code:\n\n```sql\nSELECT hasothercards, SUM(creditriskscore) AS total_credit_risk\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(creditriskscore) >= 1144.5;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `hasothercards` column and calculate the sum of `creditriskscore` for each group, aliasing it as `total_credit_risk` for clarity.\n2. **FROM Clause**: We specify the table `accountFraud` as the source of data.\n3. **GROUP BY Clause**: We group the results by the `hasothercards` column to aggregate the `creditriskscore` values by each unique `hasothercards` value.\n4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `creditriskscore` is at least 1144.5.\n\nThis query will return the `hasothercards` values and their corresponding total credit risk scores, but only for those groups where the total credit risk score meets or exceeds 1144.5.","cost":0.0009531,"response_parsed":"SELECT hasothercards, SUM(creditriskscore) AS total_credit_risk\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(creditriskscore) >= 1144.5;","time":7.8824841976}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `hasothercards` value and filter the results to include only those where the sum is at most 1144.5.\n\nHere is the SQL code:\n\n```sql\nSELECT hasothercards, SUM(creditriskscore) AS total_credit_risk\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(creditriskscore) <= 1144.5;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `hasothercards` column and calculate the sum of `creditriskscore` for each group, aliasing it as `total_credit_risk` for clarity.\n2. **FROM Clause**: We specify the table `accountFraud` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `hasothercards` column to aggregate the `creditriskscore` values for each distinct `hasothercards` value.\n4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `creditriskscore` is less than or equal to 1144.5.\n\nThis query will return the `hasothercards` values and their corresponding total credit risk scores, but only for those groups where the total credit risk score is at most 1144.5.","cost":0.0008973,"response_parsed":"SELECT hasothercards, SUM(creditriskscore) AS total_credit_risk\nFROM accountFraud\nGROUP BY hasothercards\nHAVING SUM(creditriskscore) <= 1144.5;","time":7.4481594563}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `hasothercards` value in the `accountFraud` table and filters the results to include only those `hasothercards` values where the average `sessionlengthminutes` is at least 7.85.\n\nHere is the SQL code:\n\n```sql\nSELECT \n hasothercards,\n AVG(sessionlengthminutes) AS average_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n AVG(sessionlengthminutes) >= 7.85;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `hasothercards` column and calculate the average of `sessionlengthminutes` for each group of `hasothercards` values. The average is aliased as `average_session_length` for clarity.\n2. **FROM Clause**: We specify the table `accountFraud` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `hasothercards` column to calculate the average `sessionlengthminutes` for each distinct `hasothercards` value.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `sessionlengthminutes` is at least 7.85.\n\nThis query will return the `hasothercards` values and their corresponding average `sessionlengthminutes` for groups where the average is 7.85 or higher.","cost":0.0008361,"response_parsed":"SELECT \n hasothercards,\n AVG(sessionlengthminutes) AS average_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n AVG(sessionlengthminutes) >= 7.85;","time":7.1818907261}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `hasothercards` value in the `accountFraud` table and then filters the results to include only those `hasothercards` values where the average `sessionlengthminutes` is at most 7.85.\n\nHere is the SQL code:\n\n```sql\nSELECT \n hasothercards,\n AVG(sessionlengthminutes) AS average_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n AVG(sessionlengthminutes) <= 7.85;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `hasothercards` column and calculate the average of `sessionlengthminutes` for each group of `hasothercards` using the `AVG()` function. We alias the average as `average_session_length` for clarity.\n2. **FROM Clause**: We specify the table `accountFraud` as the source of data.\n3. **GROUP BY Clause**: We group the data by the `hasothercards` column to calculate the average `sessionlengthminutes` for each distinct `hasothercards` value.\n4. **HAVING Clause**: We filter the results to include only those groups where the average `sessionlengthminutes` is less than or equal to 7.85.\n\nThis query will return the `hasothercards` values and their corresponding average `sessionlengthminutes` for those groups where the average is at most 7.85.","cost":0.0008739,"response_parsed":"SELECT \n hasothercards,\n AVG(sessionlengthminutes) AS average_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n AVG(sessionlengthminutes) <= 7.85;","time":7.3767259121}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `sessionlengthminutes` for each `hasothercards` value and filter the results to include only those where the sum is at least 58.5.\n\nHere is the SQL code:\n\n```sql\nSELECT \n hasothercards,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n SUM(sessionlengthminutes) >= 58.5;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `hasothercards` column and the sum of `sessionlengthminutes`, which we alias as `total_session_length` for clarity.\n2. **FROM Clause**: We specify the table `accountFraud` as the source of data.\n3. **GROUP BY Clause**: We group the results by the `hasothercards` column to aggregate the `sessionlengthminutes` for each unique value of `hasothercards`.\n4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `sessionlengthminutes` is at least 58.5.\n\nThis query will return the `hasothercards` values and their corresponding total session lengths that meet the condition.","cost":0.0008172,"response_parsed":"SELECT \n hasothercards,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n SUM(sessionlengthminutes) >= 58.5;","time":6.746835947}} {"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":"\n\nTo answer the question, we need to sum the `sessionlengthminutes` for each `hasothercards` value in the `accountFraud` table and then filter the results to include only those `hasothercards` where the sum is at most 58.5.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT \n hasothercards,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n SUM(sessionlengthminutes) <= 58.5;\n```\n\nThis SQL query:\n1. Selects the `hasothercards` column and calculates the sum of `sessionlengthminutes` for each `hasothercards` value.\n2. Groups the results by the `hasothercards` column.\n3. Filters the results to include only those groups where the sum of `sessionlengthminutes` is at most 58.5.","cost":0.00072,"response_parsed":"SELECT \n hasothercards,\n SUM(sessionlengthminutes) AS total_session_length\nFROM \n accountFraud\nGROUP BY \n hasothercards\nHAVING \n SUM(sessionlengthminutes) <= 58.5;","time":5.8999481201}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `creditriskscore` is at least 109.56.\n\nHere is the SQL code:\n\n```sql\nSELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) >= 109.56;\n```\n\n### Explanation:\n1. **`SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk`**:\n - This selects the `paymenttype` and calculates the average `creditriskscore` for each `paymenttype`. The `AVG` function is used to compute the average, and `AS avg_credit_risk` renames the calculated column for clarity.\n\n2. **`FROM accountFraud`**:\n - This specifies the table from which to retrieve the data, which is `accountFraud`.\n\n3. **`GROUP BY paymenttype`**:\n - This groups the rows by the `paymenttype` column, allowing us to calculate the average `creditriskscore` for each distinct `paymenttype`.\n\n4. **`HAVING AVG(creditriskscore) >= 109.56`**:\n - This filters the results to include only those groups where the average `creditriskscore` is at least 109.56.\n\nWhen you execute this query, it will return a list of `paymenttype`s along with their corresponding average `creditriskscore`, but only for those `paymenttype`s where the average `creditriskscore` is 109.56 or higher.","cost":0.0009207,"response_parsed":"SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) >= 109.56;","time":7.9104990959}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `creditriskscore` is at most 109.56.\n\nHere is the SQL code:\n\n```sql\nSELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) <= 109.56;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `paymenttype` and calculate the average `creditriskscore` for each `paymenttype` using the `AVG()` function. The result is aliased as `avg_credit_risk` for clarity.\n2. **FROM Clause**: We specify the table `accountFraud` as the source of data.\n3. **GROUP BY Clause**: We group the data by `paymenttype` to calculate the average `creditriskscore` for each distinct `paymenttype`.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `creditriskscore` is less than or equal to 109.56.\n\nThis query will return the `paymenttype`s along with their corresponding average `creditriskscore` values, but only for those `paymenttype`s where the average `creditriskscore` is at most 109.56.","cost":0.0007758,"response_parsed":"SELECT paymenttype, AVG(creditriskscore) AS avg_credit_risk\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(creditriskscore) <= 109.56;","time":7.190059185}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filter the results to include only those `paymenttype`s where the sum of `creditriskscore` is at least 572.25.\n\nHere is the SQL code:\n\n```sql\nSELECT paymenttype, SUM(creditriskscore) AS total\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) >= 572.25;\n```\n\n### Explanation:\n1. **`SELECT paymenttype, SUM(creditriskscore) AS total`**: This selects the `paymenttype` and calculates the sum of `creditriskscore` for each `paymenttype`. The `AS total` renames the summed column to \"total\" for clarity.\n2. **`FROM accountFraud`**: This specifies the table from which to retrieve the data.\n3. **`GROUP BY paymenttype`**: This groups the rows by the `paymenttype` column, allowing us to aggregate the `creditriskscore` for each `paymenttype`.\n4. **`HAVING SUM(creditriskscore) >= 572.25`**: This filters the grouped results to include only those groups where the sum of `creditriskscore` is at least 572.25.\n\nThis query will return the `paymenttype` and the corresponding sum of `creditriskscore` for each `paymenttype` that meets the condition.","cost":0.0008217,"response_parsed":"SELECT paymenttype, SUM(creditriskscore) AS total\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) >= 572.25;","time":6.3803172112}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `creditriskscore` for each `paymenttype` in the `accountFraud` table and then filter the results to include only those `paymenttype`s where the sum of `creditriskscore` is at most 572.25.\n\nHere is the SQL code:\n\n```sql\nSELECT paymenttype, SUM(creditriskscore) AS total_credit_risk\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) <= 572.25;\n```\n\n### Explanation:\n1. **SELECT paymenttype, SUM(creditriskscore) AS total_credit_risk**:\n - This selects the `paymenttype` and calculates the sum of `creditriskscore` for each `paymenttype`. The `AS` keyword is used to alias the summed column as `total_credit_risk` for better readability.\n\n2. **FROM accountFraud**:\n - This specifies the table from which to retrieve the data, which is `accountFraud`.\n\n3. **GROUP BY paymenttype**:\n - This groups the rows by the `paymenttype` column, allowing us to aggregate the `creditriskscore` values for each unique `paymenttype`.\n\n4. **HAVING SUM(creditriskscore) <= 572.25**:\n - This filters the grouped results to include only those groups where the sum of `creditriskscore` is less than or equal to 572.25.\n\nThis query will return a list of `paymenttype`s along with their corresponding total `creditriskscore`, but only for those `paymenttype`s where the total `creditriskscore` is at most 572.25.","cost":0.0007956,"response_parsed":"SELECT paymenttype, SUM(creditriskscore) AS total_credit_risk\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(creditriskscore) <= 572.25;","time":6.6747264862}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `sessionlengthminutes` is at least 5.45.\n\nHere is the SQL code:\n\n```sql\nSELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) >= 5.45;\n```\n\n### Explanation:\n1. **`SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length`**:\n - This selects the `paymenttype` and calculates the average of `sessionlengthminutes` for each `paymenttype`. The `AS avg_session_length` renames the average column for clarity.\n\n2. **`FROM accountFraud`**:\n - This specifies the table from which to retrieve the data.\n\n3. **`GROUP BY paymenttype`**:\n - This groups the data by `paymenttype`, allowing us to calculate the average `sessionlengthminutes` for each `paymenttype`.\n\n4. **`HAVING AVG(sessionlengthminutes) >= 5.45`**:\n - This filters the results to include only those `paymenttype`s where the average `sessionlengthminutes` is at least 5.45.\n\nThis query will return a list of `paymenttype`s along with their corresponding average `sessionlengthminutes`, but only for those `paymenttype`s where the average is 5.45 or higher.","cost":0.0008181,"response_parsed":"SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) >= 5.45;","time":6.4747607708}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `sessionlengthminutes` for each `paymenttype` in the `accountFraud` table and then filters the results to include only those `paymenttype`s where the average `sessionlengthminutes` is at most 5.45.\n\nHere is the SQL code:\n\n```sql\nSELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) <= 5.45;\n```\n\n### Explanation:\n1. **`SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length`**:\n - This selects the `paymenttype` and calculates the average of `sessionlengthminutes` for each `paymenttype`. The `AS avg_session_length` renames the average column for clarity.\n\n2. **`FROM accountFraud`**:\n - This specifies the table from which to retrieve the data.\n\n3. **`GROUP BY paymenttype`**:\n - This groups the data by `paymenttype`, allowing us to calculate the average `sessionlengthminutes` for each distinct `paymenttype`.\n\n4. **`HAVING AVG(sessionlengthminutes) <= 5.45`**:\n - This filters the results to include only those groups where the average `sessionlengthminutes` is at most 5.45.\n\nThis query will return a list of `paymenttype`s along with their corresponding average `sessionlengthminutes`, but only for those `paymenttype`s where the average is 5.45 or less.","cost":0.0008073,"response_parsed":"SELECT paymenttype, AVG(sessionlengthminutes) AS avg_session_length\nFROM accountFraud\nGROUP BY paymenttype\nHAVING AVG(sessionlengthminutes) <= 5.45;","time":6.7418751717}} {"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":"\n\nTo fetch the payment types where the sum of `sessionlengthminutes` is at least 29.25, you can use the following SQL 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:\n1. Selects the `paymenttype` and calculates the sum of `sessionlengthminutes` for each payment type.\n2. Groups the results by `paymenttype`.\n3. Filters the results to include only those payment types where the total session length is at least 29.25 minutes.","cost":0.000567,"response_parsed":"SELECT paymenttype, SUM(sessionlengthminutes) AS total_session_length\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(sessionlengthminutes) >= 29.25;","time":4.555814743}} {"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":"\n\nTo fetch the payment types where the sum of `sessionlengthminutes` is at most 29.25, you can use the following SQL 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:\n1. Selects the `paymenttype` and calculates the sum of `sessionlengthminutes` for each payment type.\n2. Groups the results by `paymenttype`.\n3. Filters the results to include only those groups where the sum of `sessionlengthminutes` is less than or equal to 29.25.","cost":0.0006183,"response_parsed":"SELECT paymenttype, SUM(sessionlengthminutes) AS total_session_length\nFROM accountFraud\nGROUP BY paymenttype\nHAVING SUM(sessionlengthminutes) <= 29.25;","time":4.4204778671}} {"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":"\n\nTo find all unique `customerid`s that have at least one record in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT customerid \nFROM latePayment;\n```\n\nThis query will return all unique `customerid`s that exist in the `latePayment` table.","cost":0.0004662,"response_parsed":"SELECT DISTINCT customerid \nFROM latePayment;","time":3.7781674862}} {"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":"\n\nTo find all customer IDs that have at most 1 record in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid\nFROM latePayment\nGROUP BY customerid\nHAVING COUNT(customerid) <= 1;\n```\n\nThis query:\n1. Selects the `customerid` from the `latePayment` table.\n2. Groups the results by `customerid`.\n3. Filters the groups to include only those with 1 or fewer records using the `HAVING COUNT(customerid) <= 1` condition.","cost":0.0005679,"response_parsed":"SELECT customerid\nFROM latePayment\nGROUP BY customerid\nHAVING COUNT(customerid) <= 1;","time":4.589015007}} {"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":"\n\nTo find all the disputed values in the `latePayment` table that have at least 10 records, you can use the following SQL query:\n\n```sql\nSELECT disputed, COUNT(disputed) AS record_count\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(disputed) >= 10;\n```\n\nThis query will:\n1. Group the records in the `latePayment` table by the `disputed` column.\n2. Count the number of records for each `disputed` value.\n3. Return only those `disputed` values that have 10 or more records.","cost":0.0007263,"response_parsed":"SELECT disputed, COUNT(disputed) AS record_count\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(disputed) >= 10;","time":5.9789421558}} {"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":"\n\nTo find all the disputed statuses that have at most 10 records in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT disputed, COUNT(*) as count\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(*) <= 10;\n```\n\nThis query will:\n1. Group the records in the `latePayment` table by the `disputed` column.\n2. Count the number of records for each disputed status.\n3. Filter the results to include only those disputed statuses that have 10 or fewer records.","cost":0.0006111,"response_parsed":"SELECT disputed, COUNT(*) as count\nFROM latePayment\nGROUP BY disputed\nHAVING COUNT(*) <= 10;","time":4.6655318737}} {"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":"\n\nTo find all the `paperlessbill` values that have at least 10 records in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) >= 10;\n```\n\nThis query will:\n1. Group the records in the `latePayment` table by the `paperlessbill` column.\n2. Count the number of records for each `paperlessbill`.\n3. Return only those `paperlessbill` values that have 10 or more records.","cost":0.0006039,"response_parsed":"SELECT DISTINCT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) >= 10;","time":5.6310014725}} {"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":"\n\nTo find all `paperlessbill` entries in the `latePayment` table that have at most 10 records, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT paperlessbill\nFROM latePayment\nWHERE paperlessbill IN (\n SELECT paperlessbill\n FROM latePayment\n GROUP BY paperlessbill\n HAVING COUNT(*) <= 10\n);\n```\n\nThis query works as follows:\n1. The subquery groups the `latePayment` table by `paperlessbill` and filters those groups that have 10 or fewer records.\n2. The outer query selects the distinct `paperlessbill` values from the filtered groups.\n\nYou can also use a more concise version with `GROUP BY` and `HAVING` directly:\n\n```sql\nSELECT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) <= 10;\n```\n\nThis will return all `paperlessbill` values that appear in 10 or fewer records in the `latePayment` table.","cost":0.0006354,"response_parsed":"SELECT paperlessbill\nFROM latePayment\nGROUP BY paperlessbill\nHAVING COUNT(*) <= 10;","time":5.6341934204}} {"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":"\n\nTo answer the question, we need to fetch the `invoicedate` from the `latePayment` table where the average of `dayslate` is at least 2.95. Here's the SQL code to achieve this:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) >= 2.95;\n```\n\nThis query:\n1. Groups the data by `invoicedate`.\n2. Calculates the average `dayslate` for each group using the `AVG()` function.\n3. Filters the results to include only those groups where the average `dayslate` is at least 2.95 using the `HAVING` clause.","cost":0.0007074,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) >= 2.95;","time":6.4007518291}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `dayslate` for each `invoicedate` in the `latePayment` table and then filters the results to include only those `invoicedate` where the average `dayslate` is at most 2.95.\n\nHere is the SQL code:\n\n```sql\nSELECT invoicedate, AVG(dayslate) AS average_dayslate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) <= 2.95;\n```\n\n### Explanation:\n1. **`SELECT invoicedate, AVG(dayslate) AS average_dayslate`**:\n - This selects the `invoicedate` and calculates the average of `dayslate` for each `invoicedate`. The `AS` keyword renames the average column to `average_dayslate` for clarity.\n\n2. **`FROM latePayment`**:\n - This specifies the table from which to retrieve the data, which is `latePayment`.\n\n3. **`GROUP BY invoicedate`**:\n - This groups the rows by the `invoicedate` column, allowing us to calculate the average `dayslate` for each specific date.\n\n4. **`HAVING AVG(dayslate) <= 2.95`**:\n - This filters the results to include only those groups (i.e., `invoicedate` values) where the average `dayslate` is less than or equal to 2.95.\n\nThis query will return a list of `invoicedate` values along with their corresponding average `dayslate` values, but only for those dates where the average `dayslate` is at most 2.95.","cost":0.0008388,"response_parsed":"SELECT invoicedate, AVG(dayslate) AS average_dayslate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(dayslate) <= 2.95;","time":7.7709350586}} {"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":"\n\nTo fetch the `invoicedate` where the summation of `dayslate` is at least 2.95, you can use the following SQL query:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) >= 2.95;\n```\n\nThis query:\n1. Groups the rows in the `latePayment` table by the `invoicedate`.\n2. Calculates the sum of `dayslate` for each group.\n3. Filters the results to include only those groups where the sum of `dayslate` is at least 2.95.","cost":0.0007713,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) >= 2.95;","time":6.7684743404}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the `invoicedate` from the `latePayment` table where the sum of `dayslate` is at most 2.95.\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) <= 2.95;\n```","cost":0.0006237,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(dayslate) <= 2.95;","time":5.6064691544}} {"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":"\n\nTo answer the question of listing the `invoicedate` where the average of `invoicenumber` is at least 4902805164.55 in the `latePayment` table, we need to use SQL's `AVG()` function along with the `HAVING` clause to filter the results based on the average value.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(invoicenumber) >= 4902805164.55;\n```\n\n### Explanation:\n1. **`SELECT invoicedate`**: This selects the `invoicedate` column that we want to retrieve.\n2. **`FROM latePayment`**: This specifies the table from which to retrieve the data.\n3. **`GROUP BY invoicedate`**: This groups the rows by the `invoicedate` column, allowing us to calculate the average `invoicenumber` for each unique `invoicedate`.\n4. **`HAVING AVG(invoicenumber) >= 4902805164.55`**: This filters the grouped results to only include those `invoicedate` values where the average `invoicenumber` is at least 4902805164.55.\n\nThis query will return all `invoicedate` values where the average `invoicenumber` for that date meets or exceeds the specified threshold.","cost":0.0016389,"response_parsed":"SELECT invoicedate \nFROM latePayment \nGROUP BY invoicedate \nHAVING AVG(invoicenumber) >= 4902805164.55;","time":16.5420854092}} {"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":"\n\nTo answer the question, we need to fetch the `invoicedate` from the `latePayment` table where the average of `invoicenumber` is at most 4902805164.55.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(invoicenumber) <= 4902805164.55;\n```\n\nThis SQL query:\n1. Groups the data by `invoicedate`.\n2. Calculates the average of `invoicenumber` for each group.\n3. Filters the results to include only those groups where the average `invoicenumber` is at most 4902805164.55.","cost":0.0006516,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING AVG(invoicenumber) <= 4902805164.55;","time":5.2663168907}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `invoicenumber` values and filter the results to include only those rows where the sum is at least `4902805164.55`. Here's the SQL code:\n\n```sql\nSELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) >= 4902805164.55;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `invoicedate` and the sum of `invoicenumber` (aliased as `total_invoicenumber` for clarity).\n2. **FROM Clause**: We specify the table `latePayment` as the source of data.\n3. **GROUP BY Clause**: We group the results by `invoicedate` to aggregate the `invoicenumber` values for each date.\n4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `invoicenumber` is at least `4902805164.55`.\n\nThis query will return the `invoicedate` and the corresponding sum of `invoicenumber` for dates where the total meets or exceeds the specified threshold.","cost":0.0007668,"response_parsed":"SELECT invoicedate, SUM(invoicenumber) AS total_invoicenumber\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) >= 4902805164.55;","time":7.488019228}} {"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":"\n\nTo answer the question, we need to fetch the `invoicedate` from the `latePayment` table where the sum of `invoicenumber` is at most 4902805164.55. Here's the SQL code to achieve this:\n\n```sql\nSELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) <= 4902805164.55;\n```\n\nThis SQL query will:\n1. Group the rows in the `latePayment` table by the `invoicedate`.\n2. Calculate the sum of `invoicenumber` for each group.\n3. Filter the results to include only those groups where the sum of `invoicenumber` is less than or equal to 4902805164.55.\n4. Return the `invoicedate` for the filtered groups.","cost":0.000864,"response_parsed":"SELECT invoicedate\nFROM latePayment\nGROUP BY invoicedate\nHAVING SUM(invoicenumber) <= 4902805164.55;","time":7.3907516003}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `dayslate` for each `paperlessdate` in the `latePayment` table and then filters the results to include only those `paperlessdate` values where the average `dayslate` is at least 1.43.\n\nHere is the SQL code:\n\n```sql\nSELECT paperlessdate, AVG(dayslate) as avg_dayslate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(dayslate) >= 1.43;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `paperlessdate` column and calculate the average of the `dayslate` column using the `AVG()` function. We alias the average column as `avg_dayslate` for clarity.\n2. **FROM Clause**: We specify the table to query, which is `latePayment`.\n3. **GROUP BY Clause**: We group the results by the `paperlessdate` column to calculate the average `dayslate` for each date.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the average `dayslate` is at least 1.43.\n\nThis query will return the `paperlessdate` values along with their corresponding average `dayslate` values, but only for those dates where the average `dayslate` meets or exceeds 1.43.","cost":0.0007875,"response_parsed":"SELECT paperlessdate, AVG(dayslate) as avg_dayslate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(dayslate) >= 1.43;","time":6.7689380646}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `dayslate` for each `paperlessdate` in the `latePayment` table and then filters the results to include only those `paperlessdate` where the average `dayslate` is at most 1.43.\n\nHere is the SQL code:\n\n```sql\nSELECT \n paperlessdate,\n AVG(dayslate) AS avg_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessdate\nHAVING \n AVG(dayslate) <= 1.43;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `paperlessdate` column and calculate the average of `dayslate` for each `paperlessdate` using `AVG(dayslate)`. We alias the average as `avg_dayslate` for clarity.\n2. **FROM Clause**: We specify the table `latePayment` as the source of data.\n3. **GROUP BY Clause**: We group the results by the `paperlessdate` column to calculate the average `dayslate` for each date.\n4. **HAVING Clause**: We filter the grouped results to include only those `paperlessdate` where the average `dayslate` is less than or equal to 1.43.\n\nThis query will return the `paperlessdate` and the corresponding average `dayslate` for dates where the average `dayslate` is at most 1.43.","cost":0.0007308,"response_parsed":"SELECT \n paperlessdate,\n AVG(dayslate) AS avg_dayslate\nFROM \n latePayment\nGROUP BY \n paperlessdate\nHAVING \n AVG(dayslate) <= 1.43;","time":6.05012393}} {"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":"\n\nTo answer the question, we need to fetch the `paperlessdate` from the `latePayment` table where the sum of `dayslate` is at least 3.47. Here is the SQL code to achieve this:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) >= 3.47;\n```\n\nThis query will:\n1. Group the rows in the `latePayment` table by the `paperlessdate`.\n2. Calculate the sum of `dayslate` for each group.\n3. Return only those `paperlessdate` values where the sum of `dayslate` is at least 3.47.","cost":0.0009351,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) >= 3.47;","time":8.3443038464}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `dayslate` values for each `paperlessdate` and filter the results to include only those `paperlessdate` values where the sum of `dayslate` is at most 3.47.\n\nHere is the SQL code:\n\n```sql\nSELECT paperlessdate, SUM(dayslate) AS total_dayslate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) <= 3.47;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `paperlessdate` column and calculate the sum of `dayslate` values for each `paperlessdate` using the `SUM()` function. The result is aliased as `total_dayslate` for clarity.\n2. **FROM Clause**: We specify the table `latePayment` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `paperlessdate` column to aggregate the `dayslate` values for each date.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the sum of `dayslate` is less than or equal to 3.47.\n\nThis query will return the `paperlessdate` values along with their corresponding total `dayslate` values, but only for those dates where the total `dayslate` is at most 3.47.","cost":0.0007821,"response_parsed":"SELECT paperlessdate, SUM(dayslate) AS total_dayslate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(dayslate) <= 3.47;","time":6.4564805031}} {"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":"\n\nTo answer the question, we need to fetch the `paperlessdate` from the `latePayment` table where the average of `invoicenumber` is at least 4611214877.81. Here's the SQL code to achieve this:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(invoicenumber) >= 4611214877.81;\n```\n\nThis SQL query:\n1. Selects the `paperlessdate` column\n2. Groups the results by `paperlessdate`\n3. Filters the results to include only those groups where the average `invoicenumber` is at least 4611214877.81","cost":0.0007515,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING AVG(invoicenumber) >= 4611214877.81;","time":6.3751161098}} {"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":"\n\nTo answer the question, we need to fetch the `paperlessdate` from the `latePayment` table where the average of `invoicenumber` is at most 4611214877.81. Here's the SQL code to achieve this:\n\n```sql\nSELECT \n paperlessdate,\n AVG(invoicenumber) AS avg_invoice\nFROM \n latePayment\nGROUP BY \n paperlessdate\nHAVING \n AVG(invoicenumber) <= 4611214877.81;\n```\n\nThis SQL query:\n1. Groups the data by `paperlessdate`.\n2. Calculates the average of `invoicenumber` for each group.\n3. Filters the results to include only those groups where the average `invoicenumber` is at most 4611214877.81.\n4. Returns the `paperlessdate` and the corresponding average `invoicenumber` for the filtered groups.","cost":0.0010305,"response_parsed":"SELECT \n paperlessdate,\n AVG(invoicenumber) AS avg_invoice\nFROM \n latePayment\nGROUP BY \n paperlessdate\nHAVING \n AVG(invoicenumber) <= 4611214877.81;","time":10.5479636192}} {"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":"\n\nTo answer the question, we need to sum the `invoicenumber` values in the `latePayment` table and filter the results to include only those rows where the sum of `invoicenumber` is at least 5,768,006,075.94. Here's the SQL code to achieve this:\n\n```sql\nSELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) >= 5768006075.94;\n```\n\nThis SQL query:\n1. Selects the `paperlessdate` column.\n2. Groups the rows by the `paperlessdate` column.\n3. Filters the grouped results to include only those where the sum of `invoicenumber` is at least 5,768,006,075.94.","cost":0.0006705,"response_parsed":"SELECT paperlessdate\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) >= 5768006075.94;","time":5.8712189198}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `invoicenumber` values and filter the results to include only those rows where the summation of `invoicenumber` is at most 5,768,006,075.94. Here's the SQL code:\n\n```sql\nSELECT paperlessdate, SUM(invoicenumber) AS total_invoicenumber\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) <= 5768006075.94;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `paperlessdate` column and calculate the sum of `invoicenumber` values, aliasing the sum as `total_invoicenumber` for clarity.\n2. **FROM Clause**: We specify the table `latePayment` as the source of data.\n3. **GROUP BY Clause**: We group the results by the `paperlessdate` column to aggregate the `invoicenumber` values for each date.\n4. **HAVING Clause**: We filter the grouped results to include only those where the sum of `invoicenumber` is less than or equal to 5,768,006,075.94.\n\nThis query will return the `paperlessdate` and the corresponding sum of `invoicenumber` for each date where the sum meets the specified condition.","cost":0.0007362,"response_parsed":"SELECT paperlessdate, SUM(invoicenumber) AS total_invoicenumber\nFROM latePayment\nGROUP BY paperlessdate\nHAVING SUM(invoicenumber) <= 5768006075.94;","time":6.2376983166}} {"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":"\n\nTo answer the question \"What are the hasothercards with all the housingstatus in table accountFraud?\", we need to fetch all `hasothercards` values that are associated with every possible `housingstatus` in the table.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud);\n```\n\n### Explanation:\n1. **GROUP BY**: Groups the rows by the `hasothercards` column.\n2. **COUNT(DISTINCT housingstatus)**: Counts the number of distinct `housingstatus` values for each `hasothercards`.\n3. **HAVING**: Filters the groups to only include those where the count of distinct `housingstatus` matches the total number of distinct `housingstatus` in the entire table.\n4. **Subquery (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud)**: Calculates the total number of distinct `housingstatus` values in the table.\n\nThis query will return all `hasothercards` values that are associated with every possible `housingstatus` in the `accountFraud` table.","cost":0.0008415,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING COUNT(DISTINCT housingstatus) = (SELECT COUNT(DISTINCT housingstatus) FROM accountFraud);","time":7.0927882195}} {"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":"\n\nTo answer the question \"What are the hasothercards with all the paymenttype in table accountFraud?\", we need to fetch all `hasothercards` values that are associated with every distinct `paymenttype` present in the `accountFraud` table.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING COUNT(DISTINCT paymenttype) = (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud);\n```\n\n### Explanation:\n1. **GROUP BY**: Groups the rows by the `hasothercards` column.\n2. **COUNT(DISTINCT paymenttype)**: Counts the number of distinct `paymenttype` values for each `hasothercards`.\n3. **HAVING**: Filters the groups to include only those `hasothercards` values that have all the distinct `paymenttype` values present in the table.\n4. **Subquery (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud)**: Determines the total number of distinct `paymenttype` values in the `accountFraud` table.\n\nThis query will return the `hasothercards` values that are associated with all the distinct `paymenttype` values in the table.","cost":0.0008802,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING COUNT(DISTINCT paymenttype) = (SELECT COUNT(DISTINCT paymenttype) FROM accountFraud);","time":8.2356495857}} {"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":"\n\nTo answer the question \"What are the hasothercards with all the employmentstatus in table accountFraud?\", we need to fetch all `hasothercards` values that are associated with every possible `employmentstatus` in the `accountFraud` table.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING COUNT(DISTINCT employmentstatus) = (SELECT COUNT(DISTINCT employmentstatus) FROM accountFraud);\n```\n\n### Explanation:\n1. **GROUP BY**: Groups the rows by the `hasothercards` column.\n2. **COUNT(DISTINCT employmentstatus)**: Counts the number of distinct `employmentstatus` values for each `hasothercards`.\n3. **HAVING**: Filters the groups to include only those `hasothercards` values that have all possible `employmentstatus` values (i.e., the count of distinct `employmentstatus` for the group matches the total count of distinct `employmentstatus` in the entire table).\n\nThis query will return the `hasothercards` values that are associated with every distinct `employmentstatus` in the `accountFraud` table.","cost":0.0008478,"response_parsed":"SELECT hasothercards\nFROM accountFraud\nGROUP BY hasothercards\nHAVING COUNT(DISTINCT employmentstatus) = (SELECT COUNT(DISTINCT employmentstatus) FROM accountFraud);","time":7.3922181129}} {"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":"\n\nTo fetch the unique combinations of `hasothercards` and `deviceos` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT hasothercards, deviceos FROM accountFraud;\n```\n\nThis query will return all unique pairs of `hasothercards` and `deviceos` values present in the `accountFraud` table.","cost":0.0005382,"response_parsed":"SELECT DISTINCT hasothercards, deviceos FROM accountFraud;","time":3.8484165668}} {"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":"\n\nTo fetch the `hasothercards` values where `emailisfree` is true in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT hasothercards \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nThis query will return all unique `hasothercards` values from the `accountFraud` table where the `emailisfree` column is set to 'true'.","cost":0.0006849,"response_parsed":"SELECT DISTINCT hasothercards \nFROM accountFraud \nWHERE emailisfree = 'true';","time":5.324368}} {"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":"\n\nTo fetch the `housingstatus` along with all the `paymenttype` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT housingstatus, paymenttype \nFROM accountFraud;\n```\n\nThis query will return all unique combinations of `housingstatus` and `paymenttype` present in the `accountFraud` table.","cost":0.0004707,"response_parsed":"SELECT DISTINCT housingstatus, paymenttype \nFROM accountFraud;","time":3.2169289589}} {"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":"\n\nTo answer the question \"What are the housingstatus with all the emailisfree in table accountFraud?\", we need to fetch the `housingstatus` values from the `accountFraud` table where the `emailisfree` condition is met.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT housingstatus FROM accountFraud WHERE emailisfree = 'Yes';\n```\n\nThis SQL query will return all the `housingstatus` values from the `accountFraud` table where the `emailisfree` column is set to 'Yes'.","cost":0.0008316,"response_parsed":"SELECT housingstatus FROM accountFraud WHERE emailisfree = 'Yes';","time":7.3503553867}} {"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":"\n\nTo fetch the `paymenttype` where `emailisfree` is true in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT paymenttype \nFROM accountFraud \nWHERE emailisfree = 'true';\n```\n\nThis query will return all the `paymenttype` values from the `accountFraud` table where the `emailisfree` column is set to 'true'.","cost":0.00063,"response_parsed":"SELECT paymenttype \nFROM accountFraud \nWHERE emailisfree = 'true';","time":4.8416585922}} {"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":"\n\nTo fetch the `employmentstatus` where all `emailisfree` values are associated with it in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT employmentstatus\nFROM accountFraud\nWHERE emailisfree = 'true';\n```\n\nThis query will return all `employmentstatus` values from the `accountFraud` table where the `emailisfree` column is set to `'true'`.","cost":0.0008937,"response_parsed":"SELECT employmentstatus\nFROM accountFraud\nWHERE emailisfree = 'true';","time":8.5424087048}} {"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":"\n\nTo fetch the deviceos where all emailisfree entries are 'true', we can use a SQL query that groups the results by deviceos and ensures that every entry meets the condition. Here's the step-by-step solution:\n\n1. **Group the Results**: Group the rows of the accountFraud table by the deviceos column.\n2. **Apply the Condition**: Use the HAVING clause to filter groups where every emailisfree value is 'true'. This is done by counting the number of rows where emailisfree is not 'true' and ensuring this count is zero.\n\nHere is the SQL code:\n\n```sql\nSELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(CASE WHEN emailisfree != 'true' THEN 1 ELSE NULL END) = 0;\n```\n\nThis query will return all deviceos where every corresponding emailisfree entry is 'true'.","cost":0.0012285,"response_parsed":"SELECT deviceos\nFROM accountFraud\nGROUP BY deviceos\nHAVING COUNT(CASE WHEN emailisfree != 'true' THEN 1 ELSE NULL END) = 0;","time":13.4128203392}} {"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":"\n\nTo fetch the `customerid` with all the disputed payments in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid \nFROM latePayment \nWHERE disputed = 'True' \nAND customerid NOT IN (\n SELECT customerid \n FROM latePayment \n WHERE disputed != 'True'\n);\n```\n\nThis query will return the `customerid` values where all associated payments in the `latePayment` table are marked as disputed.","cost":0.0013716,"response_parsed":"SELECT customerid \nFROM latePayment \nWHERE disputed = 'True' \nAND customerid NOT IN (\n SELECT customerid \n FROM latePayment \n WHERE disputed != 'True'\n);","time":14.8528096676}} {"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":"\n\nTo find all customer IDs where every record in the latePayment table has paperlessbill set to 'Yes', we can use the following SQL query:\n\n```sql\nSELECT customerid\nFROM latePayment\nGROUP BY customerid\nHAVING SUM(CASE WHEN paperlessbill = 'Yes' THEN 1 ELSE 0 END) = COUNT(*);\n```\n\nThis query groups the records by customerid and checks if the number of 'Yes' entries equals the total number of records for each customer, ensuring all their paperlessbill values are 'Yes'.","cost":0.000756,"response_parsed":"SELECT customerid\nFROM latePayment\nGROUP BY customerid\nHAVING SUM(CASE WHEN paperlessbill = 'Yes' THEN 1 ELSE 0 END) = COUNT(*);","time":6.7944116592}} {"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":"\n\nTo fetch the `paperlessdate` with all the disputed entries in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT paperlessdate \nFROM latePayment \nWHERE disputed = 'true';\n```\n\nThis query will return all unique `paperlessdate` values where the `disputed` column is set to 'true'.","cost":0.0011169,"response_parsed":"SELECT DISTINCT paperlessdate \nFROM latePayment \nWHERE disputed = 'true';","time":12.9276070595}} {"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":"\n\nTo fetch the `paperlessdate` and `paperlessbill` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate, paperlessbill FROM latePayment;\n```\n\nThis query will return all rows from the `latePayment` table with the `paperlessdate` and `paperlessbill` columns.","cost":0.0006255,"response_parsed":"SELECT paperlessdate, paperlessbill FROM latePayment;","time":5.4360086918}} {"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":"\n\nTo fetch the disputed records where `paperlessbill` is set to `true` in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT disputed \nFROM latePayment \nWHERE paperlessbill = 'true';\n```\n\nThis query selects the `disputed` column from the `latePayment` table where the `paperlessbill` column is set to `'true'`.","cost":0.000504,"response_parsed":"SELECT disputed \nFROM latePayment \nWHERE paperlessbill = 'true';","time":3.9880285263}} {"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":"\n\nTo fetch all data from the `accountFraud` table ordered by the `deviceos` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nORDER BY deviceos ASC;\n```","cost":0.0005454,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY deviceos ASC;","time":4.07396698}} {"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":"\n\nTo fetch all data from the `accountFraud` table ordered by the `deviceos` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM \"accountFraud\" ORDER BY \"deviceos\" DESC;\n```","cost":0.0004356,"response_parsed":"SELECT * FROM \"accountFraud\" ORDER BY \"deviceos\" DESC;","time":2.6754243374}} {"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":"\n\nTo fetch all data from the `accountFraud` table ordered by the `dateofbirthdistinctemails4w` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w ASC;\n```\n\nThis query will:\n1. Select all columns (`*`) from the `accountFraud` table.\n2. Order the results by the `dateofbirthdistinctemails4w` column in ascending order (`ASC`).","cost":0.0005796,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w ASC;","time":4.2291965485}} {"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":"\n\nTo fetch all data from the `accountFraud` table ordered by the `dateofbirthdistinctemails4w` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w DESC;\n```","cost":0.0005436,"response_parsed":"SELECT *\nFROM accountFraud\nORDER BY dateofbirthdistinctemails4w DESC;","time":4.0253911018}} {"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":"\n\nTo project the `creditriskscore` column from the `accountFraud` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT creditriskscore\nFROM accountFraud\nORDER BY creditriskscore ASC;\n```","cost":0.0004563,"response_parsed":"SELECT creditriskscore\nFROM accountFraud\nORDER BY creditriskscore ASC;","time":3.3530282974}} {"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":"\n\nTo project the `creditriskscore` from the `accountFraud` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT creditriskscore \nFROM accountFraud \nORDER BY creditriskscore DESC;\n```","cost":0.0004392,"response_parsed":"SELECT creditriskscore \nFROM accountFraud \nORDER BY creditriskscore DESC;","time":3.1510994434}} {"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":"\n\nTo project the `sessionlengthminutes` column from the `accountFraud` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes ASC;\n```","cost":0.0005004,"response_parsed":"SELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes ASC;","time":4.0584642887}} {"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":"\n\nTo project the `sessionlengthminutes` column from the `accountFraud` table and order it in descending order, you can use the following SQL query:\n\n```sql\nSELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes DESC;\n```","cost":0.0004797,"response_parsed":"SELECT sessionlengthminutes\nFROM accountFraud\nORDER BY sessionlengthminutes DESC;","time":3.5378167629}} {"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":"\n\nTo fetch all data from the `latePayment` table ordered by `invoicenumber` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nORDER BY invoicenumber ASC;\n```","cost":0.0004797,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoicenumber ASC;","time":3.4576416016}} {"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":"\n\nTo fetch all data from the `latePayment` table ordered by `invoicenumber` in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nORDER BY invoicenumber DESC;\n```","cost":0.0005337,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoicenumber DESC;","time":4.2196249962}} {"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":"\n\nTo fetch all data from the `latePayment` table ordered by `invoiceamount` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nORDER BY invoiceamount ASC;\n```","cost":0.0005265,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoiceamount ASC;","time":4.3412611485}} {"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":"\n\nTo fetch all data from the `latePayment` table ordered by `invoiceamount` in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nORDER BY invoiceamount DESC;\n```","cost":0.0004842,"response_parsed":"SELECT *\nFROM latePayment\nORDER BY invoiceamount DESC;","time":3.6208417416}} {"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":"\n\nTo project the `daystosettle` column from the `latePayment` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT daystosettle FROM latePayment ORDER BY daystosettle ASC;\n```","cost":0.0004977,"response_parsed":"SELECT daystosettle FROM latePayment ORDER BY daystosettle ASC;","time":3.6259276867}} {"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":"\n\nTo project the `daystosettle` column from the `latePayment` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT daystosettle \nFROM latePayment \nORDER BY daystosettle DESC;\n```","cost":0.0005013,"response_parsed":"SELECT daystosettle \nFROM latePayment \nORDER BY daystosettle DESC;","time":3.8076815605}} {"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":"\n\nTo project the `disputed` column from the `latePayment` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT disputed \nFROM latePayment \nORDER BY disputed ASC;\n```","cost":0.0004014,"response_parsed":"SELECT disputed \nFROM latePayment \nORDER BY disputed ASC;","time":2.7900538445}} {"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":"\n\nTo project the `disputed` column from the `latePayment` table and order it in descending order, you can use the following SQL query:\n\n```sql\nSELECT disputed \nFROM latePayment \nORDER BY disputed DESC;\n```\n\nThis query will:\n1. Select the `disputed` column from the `latePayment` table.\n2. Order the results in descending order based on the values in the `disputed` column.","cost":0.0006453,"response_parsed":"SELECT disputed \nFROM latePayment \nORDER BY disputed DESC;","time":5.4863243103}} {"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":"\n\nTo fetch all `emailisfree` entries from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree FROM \"accountFraud\";\n```","cost":0.0005166,"response_parsed":"SELECT emailisfree FROM \"accountFraud\";","time":4.7123272419}} {"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":"\n\nTo fetch all unique employment statuses from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT employmentstatus FROM accountFraud;\n```\n\nThis query will return all unique values in the `employmentstatus` column of the `accountFraud` table.","cost":0.0005076,"response_parsed":"SELECT DISTINCT employmentstatus FROM accountFraud;","time":4.9260385036}} {"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":"\n\nTo fetch all `deviceos` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT deviceos FROM \"accountFraud\";\n```","cost":0.0005157,"response_parsed":"SELECT deviceos FROM \"accountFraud\";","time":4.892496109}} {"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":"\n\nTo fetch all `sessionlengthminutes` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT sessionlengthminutes FROM accountFraud;\n```","cost":0.0004464,"response_parsed":"SELECT sessionlengthminutes FROM accountFraud;","time":3.7779588699}} {"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":"\n\nTo fetch all `housingstatus` entries from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT housingstatus FROM accountFraud;\n```","cost":0.0004356,"response_parsed":"SELECT housingstatus FROM accountFraud;","time":3.545552969}} {"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":"\n\nTo show all the rows in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM accountFraud;\n```\n\nThis query will return all rows and columns from the `accountFraud` table.","cost":0.0005418,"response_parsed":"SELECT * FROM accountFraud;","time":4.4685411453}} {"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":"\n\nTo fetch all `emailisfree` values from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT emailisfree FROM accountFraud;\n```","cost":0.0005346,"response_parsed":"SELECT emailisfree FROM accountFraud;","time":4.1791014671}} {"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":"\n\nTo fetch all `income` and `housingstatus` from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT income, housingstatus FROM accountFraud;\n```","cost":0.0004482,"response_parsed":"SELECT income, housingstatus FROM accountFraud;","time":3.3581938744}} {"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":"\n\nTo fetch the `hasothercards`, `deviceos`, and `creditriskscore` columns from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT hasothercards, deviceos, creditriskscore FROM accountFraud;\n```\n\nThis query will return all rows in your table with the specified columns.","cost":0.0005418,"response_parsed":"SELECT hasothercards, deviceos, creditriskscore FROM accountFraud;","time":4.3660936356}} {"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":"\n\nTo fetch the specified columns from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype \nFROM accountFraud;\n```","cost":0.0004842,"response_parsed":"SELECT housingstatus, creditriskscore, sessionlengthminutes, paymenttype \nFROM accountFraud;","time":3.6489334106}} {"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":"\n\nTo fetch the specified columns from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes\nFROM accountFraud;\n```\n\nThis query will return all rows from the `accountFraud` table with only the columns `dateofbirthdistinctemails4w`, `income`, `deviceos`, `hasothercards`, and `sessionlengthminutes`.","cost":0.0005832,"response_parsed":"SELECT dateofbirthdistinctemails4w, income, deviceos, hasothercards, sessionlengthminutes\nFROM accountFraud;","time":5.0241968632}} {"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":"\n\nTo fetch the specified columns from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income\nFROM accountFraud;\n```","cost":0.0006183,"response_parsed":"SELECT hasothercards, emailisfree, employmentstatus, dateofbirthdistinctemails4w, sessionlengthminutes, income\nFROM accountFraud;","time":6.1590676308}} {"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":"\n\nTo fetch the specified columns from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income\nFROM accountFraud;\n```\n\nThis query will return all rows from the `accountFraud` table with only the columns: `creditriskscore`, `deviceos`, `hasothercards`, `paymenttype`, `emailisfree`, `housingstatus`, and `income`.","cost":0.0005751,"response_parsed":"SELECT creditriskscore, deviceos, hasothercards, paymenttype, emailisfree, housingstatus, income\nFROM accountFraud;","time":4.7349593639}} {"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":"\n\nTo fetch the specified columns from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards\nFROM accountFraud;\n```","cost":0.0006903,"response_parsed":"SELECT creditriskscore, sessionlengthminutes, emailisfree, deviceos, paymenttype, dateofbirthdistinctemails4w, employmentstatus, hasothercards\nFROM accountFraud;","time":5.7062382698}} {"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":"\n\nTo fetch the specified columns from the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes\nFROM accountFraud;\n```","cost":0.0006039,"response_parsed":"SELECT housingstatus, paymenttype, dateofbirthdistinctemails4w, employmentstatus, creditriskscore, deviceos, emailisfree, income, sessionlengthminutes\nFROM accountFraud;","time":4.5754113197}} {"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":"\n\nTo fetch all `paperlessbill` entries from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessbill FROM latePayment;\n```\n\nThis query will return all the values in the `paperlessbill` column of your `latePayment` table.","cost":0.0004293,"response_parsed":"SELECT paperlessbill FROM latePayment;","time":3.2660710812}} {"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":"\n\nTo fetch all `invoiceamount` values from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT invoiceamount FROM latePayment;\n```","cost":0.0004401,"response_parsed":"SELECT invoiceamount FROM latePayment;","time":3.3269164562}} {"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":"\n\nTo fetch all `paperlessdate` values from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate FROM latePayment;\n```\n\nThis query will return all the values in the `paperlessdate` column from your `latePayment` table.","cost":0.0005904,"response_parsed":"SELECT paperlessdate FROM latePayment;","time":4.7336044312}} {"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":"\n\nTo fetch all `duedate` entries from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT duedate FROM latePayment;\n```","cost":0.0004923,"response_parsed":"SELECT duedate FROM latePayment;","time":3.5428609848}} {"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":"\n\nTo fetch all `daystosettle` values from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT daystosettle FROM latePayment;\n```","cost":0.0005202,"response_parsed":"SELECT daystosettle FROM latePayment;","time":3.8836200237}} {"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":"\n\nTo fetch all rows from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM latePayment;\n```\n\nThis query will return all rows and all columns from the `latePayment` table.","cost":0.0005022,"response_parsed":"SELECT * FROM latePayment;","time":4.2008926868}} {"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":"\n\nTo fetch all records where the \"disputed\" column is present in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed IS NOT NULL;\n```\n\nThis query will return all rows from the `latePayment` table where the \"disputed\" column has a value (i.e., it is not null).","cost":0.0005679,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed IS NOT NULL;","time":4.9593303204}} {"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":"\n\nTo fetch the `duedate` and `customerid` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT duedate, customerid FROM latePayment;\n```","cost":0.0004995,"response_parsed":"SELECT duedate, customerid FROM latePayment;","time":3.7910509109}} {"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":"\n\nTo fetch the `paperlessdate`, `duedate`, and `customerid` from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate, duedate, customerid FROM latePayment;\n```\n\nThis query will return all rows from the `latePayment` table with the specified columns.","cost":0.0005283,"response_parsed":"SELECT paperlessdate, duedate, customerid FROM latePayment;","time":3.7682209015}} {"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":"\n\nTo retrieve the specified columns from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT daystosettle, paperlessdate, invoicedate, duedate FROM latePayment;\n```","cost":0.000495,"response_parsed":"SELECT daystosettle, paperlessdate, invoicedate, duedate FROM latePayment;","time":3.3665430546}} {"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":"\n\nTo fetch the specified columns from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate\nFROM latePayment;\n```","cost":0.0005517,"response_parsed":"SELECT paperlessdate, invoicedate, dayslate, invoicenumber, duedate\nFROM latePayment;","time":3.9600408077}} {"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":"\n\nTo fetch the specified columns from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber\nFROM latePayment;\n```","cost":0.0004977,"response_parsed":"SELECT invoiceamount, daystosettle, disputed, paperlessdate, duedate, invoicenumber\nFROM latePayment;","time":3.4900722504}} {"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":"\n\nTo fetch the specified columns from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed\nFROM latePayment;\n```","cost":0.0005463,"response_parsed":"SELECT customerid, invoiceamount, duedate, dayslate, daystosettle, invoicedate, disputed\nFROM latePayment;","time":4.1398890018}} {"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":"\n\nTo fetch the specified columns from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed\nFROM latePayment;\n```","cost":0.0005616,"response_parsed":"SELECT daystosettle, customerid, paperlessbill, paperlessdate, invoicedate, duedate, invoicenumber, disputed\nFROM latePayment;","time":4.2577757835}} {"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":"\n\nTo fetch the specified columns from the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate\nFROM latePayment;\n```","cost":0.0005976,"response_parsed":"SELECT paperlessdate, dayslate, daystosettle, invoicedate, customerid, invoiceamount, paperlessbill, invoicenumber, duedate\nFROM latePayment;","time":4.1635529995}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `paymenttype` is equal to 'AC', you can use the following SQL query:\n\n```sql\nSELECT * FROM accountFraud WHERE paymenttype = 'AC';\n```","cost":0.0006039,"response_parsed":"SELECT * FROM accountFraud WHERE paymenttype = 'AC';","time":4.8255288601}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `paymenttype` is different from 'AC', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE paymenttype != 'AC';\n```","cost":0.0005823,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE paymenttype != 'AC';","time":4.559731245}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `paymenttype` is not equal to 'AA', you can use the following SQL query:\n\n```sql\nSELECT * FROM accountFraud WHERE paymenttype != 'AA';\n```","cost":0.0005679,"response_parsed":"SELECT * FROM accountFraud WHERE paymenttype != 'AA';","time":4.2910189629}} {"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":"\n\nTo fetch the data from the `accountFraud` table where `employmentstatus` is equal to 'CB', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE employmentstatus = 'CB';\n```","cost":0.0005202,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE employmentstatus = 'CB';","time":3.6611785889}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `employmentstatus` is different from 'CA', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM \"accountFraud\"\nWHERE employmentstatus != 'CA';\n```","cost":0.000486,"response_parsed":"SELECT *\nFROM \"accountFraud\"\nWHERE employmentstatus != 'CA';","time":3.3265550137}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `employmentstatus` is not equal to 'CA', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE employmentstatus != 'CA';\n```","cost":0.0004932,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE employmentstatus != 'CA';","time":3.690820694}} {"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":"\n\nTo fetch the data from the `accountFraud` table where `deviceos` is equal to \"windows\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM \"accountFraud\"\nWHERE deviceos = 'windows';\n```","cost":0.000531,"response_parsed":"SELECT *\nFROM \"accountFraud\"\nWHERE deviceos = 'windows';","time":4.0919883251}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `deviceos` is different from \"other\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE deviceos != 'Other';\n```\n\nThis query will return all rows from the `accountFraud` table where the value in the `deviceos` column is not equal to \"Other\".","cost":0.000477,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE deviceos != 'Other';","time":3.3466970921}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `deviceos` column is not equal to 'other', you can use the following SQL query:\n\n```sql\nSELECT * FROM accountFraud WHERE deviceos != 'other';\n```\n\nThis query will return all rows from the `accountFraud` table where the value in the `deviceos` column is not 'other'.","cost":0.0005706,"response_parsed":"SELECT * FROM accountFraud WHERE deviceos != 'other';","time":4.2420582771}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `income` is less than 0.4, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE income < 0.4;\n```","cost":0.0004752,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE income < 0.4;","time":3.1453425884}} {"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":"\n\nTo fetch the data from the `accountFraud` table where `sessionlengthminutes` is greater than 3.749706225590873, you can use the following SQL query:\n\n```sql\nSELECT * FROM accountFraud WHERE sessionlengthminutes > 3.749706225590873;\n```","cost":0.000558,"response_parsed":"SELECT * FROM accountFraud WHERE sessionlengthminutes > 3.749706225590873;","time":4.1840057373}} {"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":"\n\nTo fetch the data from the `accountFraud` table where `sessionlengthminutes` is less than 4.886676763177824, you can use the following SQL query:\n\n```sql\nSELECT * FROM accountFraud WHERE sessionlengthminutes < 4.886676763177824;\n```","cost":0.0006156,"response_parsed":"SELECT * FROM accountFraud WHERE sessionlengthminutes < 4.886676763177824;","time":4.992836237}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `creditriskscore` is greater than 108, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE creditriskscore > 108;\n```","cost":0.0006237,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE creditriskscore > 108;","time":5.1480264664}} {"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":"\n\nTo fetch the data from the `accountFraud` table where the `creditriskscore` is less than 108, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM accountFraud\nWHERE creditriskscore < 108;\n```","cost":0.0006039,"response_parsed":"SELECT *\nFROM accountFraud\nWHERE creditriskscore < 108;","time":4.966782093}} {"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":"\n\nTo fetch the data from the `latePayment` table where the `disputed` column is equal to \"No\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed = 'No';\n```","cost":0.000549,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed = 'No';","time":4.2676944733}} {"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":"\n\nTo fetch the data from the `latePayment` table where the `disputed` column is different from \"Yes\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed != 'Yes';\n```","cost":0.0006102,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed != 'Yes';","time":5.1959958076}} {"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":"\n\nTo fetch the data from the `latePayment` table where the `disputed` column is not equal to \"Yes\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE disputed <> 'Yes';\n```","cost":0.0005103,"response_parsed":"SELECT *\nFROM latePayment\nWHERE disputed <> 'Yes';","time":4.0081481934}} {"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":"\n\nTo fetch the data from the `latePayment` table where `paperlessdate` is equal to '2\/6\/2012', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate = '2\/6\/2012';\n```","cost":0.0005733,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate = '2\/6\/2012';","time":4.758711338}} {"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":"\n\nTo fetch the data from the `latePayment` table where `paperlessdate` is different from '2\/6\/2012', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate != '2\/6\/2012';\n```","cost":0.0007326,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate != '2\/6\/2012';","time":6.5764539242}} {"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":"\n\nTo fetch the data from the `latePayment` table where `paperlessdate` is not equal to '1\/26\/2012', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE paperlessdate != '1\/26\/2012';\n```","cost":0.0005625,"response_parsed":"SELECT *\nFROM latePayment\nWHERE paperlessdate != '1\/26\/2012';","time":4.154304266}} {"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":"\n\nTo fetch the data from the `latePayment` table where `invoicedate` is equal to '4\/11\/2012', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoicedate = '4\/11\/2012';\n```","cost":0.0005544,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicedate = '4\/11\/2012';","time":4.2675135136}} {"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":"\n\nTo fetch the data from the `latePayment` table where the `invoicedate` is different from '4\/11\/2012', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoicedate != '4\/11\/2012';\n```","cost":0.0005373,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicedate != '4\/11\/2012';","time":4.0941929817}} {"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":"\n\nTo fetch the data from the `latePayment` table where `invoicedate` is not equal to '6\/18\/2013', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoicedate != '6\/18\/2013';\n```\n\nThis query will return all rows from the `latePayment` table where the `invoicedate` is not '6\/18\/2013'.","cost":0.0006885,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicedate != '6\/18\/2013';","time":5.381834507}} {"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":"\n\nTo fetch the data from the `latePayment` table where `dayslate` is greater than 0, you can use the following SQL query:\n\n```sql\nSELECT * FROM latePayment WHERE dayslate > 0;\n```","cost":0.000549,"response_parsed":"SELECT * FROM latePayment WHERE dayslate > 0;","time":3.8763861656}} {"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":"\n\nTo fetch the data from the `latePayment` table where `dayslate` is less than 6, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE dayslate < 6;\n```","cost":0.0005094,"response_parsed":"SELECT *\nFROM latePayment\nWHERE dayslate < 6;","time":3.4747960567}} {"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":"\n\nTo fetch the data from the `latePayment` table where `invoiceamount` is greater than 84.86, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoiceamount > 84.86;\n```","cost":0.0005976,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoiceamount > 84.86;","time":5.1669297218}} {"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":"\n\nTo fetch the data from the `latePayment` table where `invoiceamount` is less than 37.49, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoiceamount < 37.49;\n```","cost":0.0005499,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoiceamount < 37.49;","time":4.2793827057}} {"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":"\n\nTo fetch the data from the `latePayment` table where `invoicenumber` is greater than 9465847338, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoicenumber > 9465847338;\n```","cost":0.0005013,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicenumber > 9465847338;","time":3.3571193218}} {"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":"\n\nTo fetch the data from the `latePayment` table where `invoicenumber` is less than `6528247418`, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM latePayment\nWHERE invoicenumber < 6528247418;\n```","cost":0.0005382,"response_parsed":"SELECT *\nFROM latePayment\nWHERE invoicenumber < 6528247418;","time":4.0109126568}} {"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":"\n\nTo determine how many different `employmentstatus` values exist in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT employmentstatus) \nFROM accountFraud;\n```\n\nThis query will return the number of unique `employmentstatus` values in the `accountFraud` table.","cost":0.0004779,"response_parsed":"SELECT COUNT(DISTINCT employmentstatus) \nFROM accountFraud;","time":3.4689435959}} {"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":"\n\nTo determine how many different `housingstatus` values exist in the `accountFraud` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT housingstatus) FROM `accountFraud`;\n```","cost":0.0004464,"response_parsed":"SELECT COUNT(DISTINCT housingstatus) FROM `accountFraud`;","time":2.9546267986}} {"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":"\n\nTo determine how many different `deviceos` are present in the `accountFraud` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT deviceos) AS \"Number of Different DeviceOS\" \nFROM accountFraud;\n```\n\nThis query will count the number of unique values in the `deviceos` column of the `accountFraud` table.","cost":0.0005355,"response_parsed":"SELECT COUNT(DISTINCT deviceos) AS \"Number of Different DeviceOS\" \nFROM accountFraud;","time":4.6477272511}} {"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":"\n\nTo determine how many different `hasothercards` values exist in the `accountFraud` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT hasothercards) \nFROM accountFraud;\n```","cost":0.0006327,"response_parsed":"SELECT COUNT(DISTINCT hasothercards) \nFROM accountFraud;","time":5.0038223267}} {"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":"\n\nTo determine how many different `emailisfree` values are present in the `accountFraud` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT emailisfree) FROM accountFraud;\n```","cost":0.000477,"response_parsed":"SELECT COUNT(DISTINCT emailisfree) FROM accountFraud;","time":3.3240845203}} {"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":"\n\nTo find the maximum `creditriskscore` for the table `accountFraud`, you can use the SQL `MAX()` function. Here is the SQL code:\n\n```sql\nSELECT MAX(creditriskscore) FROM accountFraud;\n```","cost":0.0004869,"response_parsed":"SELECT MAX(creditriskscore) FROM accountFraud;","time":3.3764343262}} {"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":"\n\nTo find the minimum `creditriskscore` for the table `accountFraud`, you can use the SQL `MIN()` function. Here is the SQL code:\n\n```sql\nSELECT MIN(creditriskscore) FROM accountFraud;\n```","cost":0.0004671,"response_parsed":"SELECT MIN(creditriskscore) FROM accountFraud;","time":3.2308743}} {"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":"\n\nTo find the average `creditriskscore` for the table `accountFraud`, you can use the SQL `AVG()` function. Here is the SQL code:\n\n```sql\nSELECT AVG(creditriskscore) AS average_credit_risk_score FROM accountFraud;\n```\n\nThis query will calculate the average value of the `creditriskscore` column in the `accountFraud` table and return it as `average_credit_risk_score`.","cost":0.0005769,"response_parsed":"SELECT AVG(creditriskscore) AS average_credit_risk_score FROM accountFraud;","time":4.2607183456}} {"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":"\n\nTo find the maximum income from the `accountFraud` table, you can use the SQL `MAX()` function. Here's the SQL code:\n\n```sql\nSELECT MAX(income) AS max_income FROM accountFraud;\n```\n\nThis query will return the highest value in the `income` column of the `accountFraud` table.","cost":0.0005544,"response_parsed":"SELECT MAX(income) AS max_income FROM accountFraud;","time":4.1440038681}} {"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":"\n\nTo find the minimum income from the `accountFraud` table, you can use the SQL `MIN()` function. Here's the SQL code:\n\n```sql\nSELECT MIN(income) AS minimum_income FROM accountFraud;\n```\n\nThis query will return the smallest value in the `income` column of the `accountFraud` table.","cost":0.0005256,"response_parsed":"SELECT MIN(income) AS minimum_income FROM accountFraud;","time":4.2426838875}} {"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":"\n\nTo find the average income for the table `accountFraud`, you can use the SQL `AVG()` function, which calculates the average value of a numeric column. Here's the SQL code:\n\n```sql\nSELECT AVG(income) AS average_income FROM accountFraud;\n```\n\nThis query will return the average value of the `income` column in the `accountFraud` table. The `AS average_income` part is optional and is used to give an alias to the resulting column for better readability.","cost":0.0006372,"response_parsed":"SELECT AVG(income) AS average_income FROM accountFraud;","time":5.691699028}} {"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":"\n\nTo determine how many different `invoicedate` values are in the `latePayment` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT invoicedate) FROM latePayment;\n```","cost":0.0006462,"response_parsed":"SELECT COUNT(DISTINCT invoicedate) FROM latePayment;","time":5.7670071125}} {"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":"\n\nTo determine how many different disputes are in the `latePayment` table, you can use the `COUNT(DISTINCT)` function in SQL to count the number of unique values in the `disputed` column. Here is the SQL code:\n\n```sql\nSELECT COUNT(DISTINCT disputed) \nFROM latePayment;\n```","cost":0.0005841,"response_parsed":"SELECT COUNT(DISTINCT disputed) \nFROM latePayment;","time":4.8731024265}} {"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":"\n\nTo determine how many different `customerid`s are in the `latePayment` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT customerid) AS numberOfUniqueCustomers\nFROM latePayment;\n```\n\nThis query will return the number of unique `customerid`s in your `latePayment` table.","cost":0.0005688,"response_parsed":"SELECT COUNT(DISTINCT customerid) AS numberOfUniqueCustomers\nFROM latePayment;","time":4.2882497311}} {"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":"\n\nTo determine how many different `paperlessdate` values are in the `latePayment` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT paperlessdate) FROM latePayment;\n```","cost":0.0005265,"response_parsed":"SELECT COUNT(DISTINCT paperlessdate) FROM latePayment;","time":3.9492390156}} {"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":"\n\nTo determine how many different `duedate` values are present in the `latePayment` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT duedate) FROM latePayment;\n```\n\nThis query will return the number of unique `duedate` values in your `latePayment` table.","cost":0.0005571,"response_parsed":"SELECT COUNT(DISTINCT duedate) FROM latePayment;","time":4.0568327904}} {"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":"\n\nTo find the maximum `daystosettle` for the table `latePayment`, you can use the SQL `MAX()` function. Here's the SQL code:\n\n```sql\nSELECT MAX(daystosettle) FROM latePayment;\n```","cost":0.0004887,"response_parsed":"SELECT MAX(daystosettle) FROM latePayment;","time":3.6057379246}} {"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":"\n\nTo find the minimum `daystosettle` for the table `latePayment`, you can use the SQL `MIN()` function. Here's the SQL code:\n\n```sql\nSELECT MIN(daystosettle) FROM latePayment;\n```","cost":0.0004302,"response_parsed":"SELECT MIN(daystosettle) FROM latePayment;","time":2.9514117241}} {"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":"\n\nTo find the average `daystosettle` for the table `latePayment`, you can use the SQL `AVG()` function. Here's the SQL code:\n\n```sql\nSELECT AVG(daystosettle) AS average_daystosettle\nFROM latePayment;\n```\n\nThis query will calculate and return the average value of the `daystosettle` column in your `latePayment` table.","cost":0.0004518,"response_parsed":"SELECT AVG(daystosettle) AS average_daystosettle\nFROM latePayment;","time":3.1984949112}} {"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":"\n\nTo find the maximum `dayslate` for the table `latePayment`, you can use the SQL `MAX()` function. Here is the SQL code:\n\n```sql\nSELECT MAX(dayslate) AS maximum_dayslate\nFROM latePayment;\n```\n\nThis query will return the maximum value in the `dayslate` column of the `latePayment` table.","cost":0.0004923,"response_parsed":"SELECT MAX(dayslate) AS maximum_dayslate\nFROM latePayment;","time":3.4240789413}} {"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":"\n\nTo find the minimum `dayslate` for the table `latePayment`, you can use the SQL `MIN()` function. Here is the SQL code:\n\n```sql\nSELECT MIN(dayslate) FROM latePayment;\n```","cost":0.0004752,"response_parsed":"SELECT MIN(dayslate) FROM latePayment;","time":3.2187240124}} {"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":"\n\nTo find the average `dayslate` for the table `latePayment`, you can use the SQL `AVG()` function. Here is the SQL code:\n\n```sql\nSELECT AVG(dayslate) AS average_dayslate\nFROM latePayment;\n```\n\nThis query will calculate the average value of the `dayslate` column in your `latePayment` table and return it as `average_dayslate`.","cost":0.0005517,"response_parsed":"SELECT AVG(dayslate) AS average_dayslate\nFROM latePayment;","time":4.2221977711}} {"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":"\n\nTo retrieve the different `menopausalstatus` values from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT menopausalstatus FROM breastCancer;\n```\n\nThis query will return all unique values in the `menopausalstatus` column of the `breastCancer` table.","cost":0.0004914,"response_parsed":"SELECT DISTINCT menopausalstatus FROM breastCancer;","time":3.6169939041}} {"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":"\n\nTo retrieve the different types of hormonal therapy from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT hormonaltherapy FROM breastCancer;\n```\n\nThis query will return all unique values in the `hormonaltherapy` column of the `breastCancer` table.","cost":0.0005265,"response_parsed":"SELECT DISTINCT hormonaltherapy FROM breastCancer;","time":3.8698406219}} {"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":"\n\nTo show the different statuses in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT status FROM breastCancer;\n```\n\nThis query will return all unique values in the `status` column of the `breastCancer` table.","cost":0.0005283,"response_parsed":"SELECT DISTINCT status FROM breastCancer;","time":4.2151997089}} {"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":"\n\nTo show the different sexes in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT sex FROM heartAttack;\n```\n\nThis query will return all unique values in the `sex` column of the `heartAttack` table.","cost":0.0005031,"response_parsed":"SELECT DISTINCT sex FROM heartAttack;","time":3.8083415031}} {"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":"\n\nTo fetch the different chest pain types from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT chestpaintype FROM \"heartAttack\";\n```\n\nThis query will return all unique values in the `chestpaintype` column of the `heartAttack` table.","cost":0.0005454,"response_parsed":"SELECT DISTINCT chestpaintype FROM \"heartAttack\";","time":4.0403773785}} {"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":"\n\nTo fetch the different values of `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT fastingbloodsugar FROM heartAttack;\n```\n\nThis query will return all unique values in the `fastingbloodsugar` column of the `heartAttack` table.","cost":0.0005499,"response_parsed":"SELECT DISTINCT fastingbloodsugar FROM heartAttack;","time":4.2104384899}} {"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":"\n\nTo fetch the different `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT restingelectrocardiographicrresults FROM heartAttack;\n```\n\nThis query will return all unique values in the `restingelectrocardiographicrresults` column of the `heartAttack` table.","cost":0.0005985,"response_parsed":"SELECT DISTINCT restingelectrocardiographicrresults FROM heartAttack;","time":4.7682290077}} {"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":"\n\nTo show the different output in the table `heartAttack`, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT output FROM heartAttack;\n```\n\nThis query will return all unique values in the `output` column of the `heartAttack` table.","cost":0.000495,"response_parsed":"SELECT DISTINCT output FROM heartAttack;","time":3.5461928844}} {"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":"\n\nTo count the number of rows for each `menopausalstatus` in the `breastCancer` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT menopausalstatus, COUNT(*) as row_count\nFROM breastCancer\nGROUP BY menopausalstatus;\n```\n\nThis query will return the number of rows for each distinct value in the `menopausalstatus` column.","cost":0.0004986,"response_parsed":"SELECT menopausalstatus, COUNT(*) as row_count\nFROM breastCancer\nGROUP BY menopausalstatus;","time":3.503923893}} {"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":"\n\nTo count the number of rows in the `breastCancer` table for each `hormonaltherapy`, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, COUNT(*) AS row_count\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```\n\nThis query will:\n1. Group the rows in the `breastCancer` table by the `hormonaltherapy` column.\n2. Count the number of rows for each unique value of `hormonaltherapy`.\n3. Return the results with the `hormonaltherapy` value and the corresponding count of rows.","cost":0.000567,"response_parsed":"SELECT hormonaltherapy, COUNT(*) AS row_count\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":4.8118698597}} {"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":"\n\nTo count the number of rows for each status in the `breastCancer` table, you can use the `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `status` column.\n\n```sql\nSELECT \n status,\n COUNT(*) as count\nFROM \n breastCancer\nGROUP BY \n status;\n```","cost":0.0005175,"response_parsed":"SELECT \n status,\n COUNT(*) as count\nFROM \n breastCancer\nGROUP BY \n status;","time":4.2779037952}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the minimum value of `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table. Here is the SQL code:\n\n```sql\nSELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy\nORDER BY hormonaltherapy;\n```\n\n### Explanation:\n1. **`SELECT hormonaltherapy`**: This selects the `hormonaltherapy` column to group the results by each hormonal therapy type.\n2. **`MIN(progesteronereceptor) AS min_progesteronereceptor`**: This calculates the minimum value of `progesteronereceptor` for each group of `hormonaltherapy` and aliases the result as `min_progesteronereceptor` for clarity.\n3. **`FROM breastCancer`**: This specifies the table to query.\n4. **`GROUP BY hormonaltherapy`**: This groups the rows by the `hormonaltherapy` column, allowing us to calculate the minimum `progesteronereceptor` for each hormonal therapy type.\n5. **`ORDER BY hormonaltherapy`**: This sorts the final results by the `hormonaltherapy` column for better readability.\n\nThis query will return the minimum `progesteronereceptor` value for each `hormonaltherapy` in the `breastCancer` table.","cost":0.0008343,"response_parsed":"SELECT hormonaltherapy, MIN(progesteronereceptor) AS min_progesteronereceptor\nFROM breastCancer\nGROUP BY hormonaltherapy\nORDER BY hormonaltherapy;","time":6.7573008537}} {"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":"\n\nTo find the maximum value of `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesterone\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```\n\nThis query will:\n1. Group the rows in the `breastCancer` table by the `hormonaltherapy` column.\n2. For each group, calculate the maximum value of the `progesteronereceptor` column.\n3. Return the results with the `hormonaltherapy` and the corresponding maximum `progesteronereceptor` value.","cost":0.0005994,"response_parsed":"SELECT hormonaltherapy, MAX(progesteronereceptor) AS max_progesterone\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":4.6582055092}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the average value of the `progesteronereceptor` for each `hormonaltherapy` in the `breastCancer` table. Here's the SQL code:\n\n```sql\nSELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesterone\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```\n\nThis SQL query will:\n1. Select the `hormonaltherapy` column and the average of the `progesteronereceptor` column.\n2. Group the results by the `hormonaltherapy` column.\n3. Return the average `progesteronereceptor` value for each `hormonaltherapy`.","cost":0.0007596,"response_parsed":"SELECT hormonaltherapy, AVG(progesteronereceptor) AS avg_progesterone\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":6.3213160038}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of the `progesteronereceptor` values for each unique `hormonaltherapy` in the `breastCancer` table. Here's the SQL code:\n\n```sql\nSELECT \n hormonaltherapy,\n SUM(progesteronereceptor) AS sum_progesteronereceptor\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy;\n```\n\nThis SQL query:\n1. Selects the `hormonaltherapy` column and calculates the sum of the `progesteronereceptor` values for each group of rows with the same `hormonaltherapy`.\n2. Uses the `SUM()` function to calculate the total of `progesteronereceptor` values.\n3. Groups the results by the `hormonaltherapy` column using the `GROUP BY` clause.\n4. Includes an alias `sum_progesteronereceptor` for the calculated sum column to make the results more readable.","cost":0.0006804,"response_parsed":"SELECT \n hormonaltherapy,\n SUM(progesteronereceptor) AS sum_progesteronereceptor\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy;","time":5.4673614502}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the minimum value of `numberpositivelymphnodes` for each `hormonaltherapy` in the `breastCancer` table. Here's the SQL code:\n\n```sql\nSELECT \n hormonaltherapy,\n MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy;\n```\n\nThis SQL query will:\n1. Select the `hormonaltherapy` column.\n2. Calculate the minimum value of `numberpositivelymphnodes` for each `hormonaltherapy` group using the `MIN()` function.\n3. Group the results by the `hormonaltherapy` column.","cost":0.0005787,"response_parsed":"SELECT \n hormonaltherapy,\n MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy;","time":4.4462041855}} {"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":"\n\nTo find the maximum number of positive lymph nodes for each hormonal therapy in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_nodes\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```\n\nThis query will:\n1. Group the rows in the `breastCancer` table by the `hormonaltherapy` column.\n2. For each group, calculate the maximum value of `numberpositivelymphnodes`.\n3. Return the results with the hormonal therapy type and the corresponding maximum number of positive lymph nodes.","cost":0.000675,"response_parsed":"SELECT hormonaltherapy, MAX(numberpositivelymphnodes) AS max_nodes\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":5.6798455715}} {"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":"\n\nTo find the average number of positive lymph nodes for each hormonal therapy in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;\n```\n\nThis query:\n1. Selects the `hormonaltherapy` column and calculates the average of `numberpositivelymphnodes` for each group of `hormonaltherapy`.\n2. Groups the results by the `hormonaltherapy` column.\n3. Returns the average number of positive lymph nodes for each hormonal therapy.","cost":0.0005094,"response_parsed":"SELECT hormonaltherapy, AVG(numberpositivelymphnodes) AS avg_numberpositivelymphnodes\nFROM breastCancer\nGROUP BY hormonaltherapy;","time":3.776838541}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of `numberpositivelymphnodes` for each unique value in the `hormonaltherapy` column in the `breastCancer` table. Here's the SQL code:\n\n```sql\nSELECT \n hormonaltherapy,\n SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy;\n```\n\nThis SQL query will:\n1. Select the `hormonaltherapy` column.\n2. Calculate the sum of `numberpositivelymphnodes` for each `hormonaltherapy` group using the `SUM()` function.\n3. Group the results by the `hormonaltherapy` column to ensure the sum is calculated for each unique hormonal therapy type.","cost":0.0006615,"response_parsed":"SELECT \n hormonaltherapy,\n SUM(numberpositivelymphnodes) AS total_positive_lymph_nodes\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy;","time":4.8936069012}} {"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":"\n\nTo find the minimum value of `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n status,\n MIN(progesteronereceptor) AS min_progesterone\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis query will return the minimum `progesteronereceptor` value for each unique `status` in the `breastCancer` table.","cost":0.0005571,"response_parsed":"SELECT \n status,\n MIN(progesteronereceptor) AS min_progesterone\nFROM \n breastCancer\nGROUP BY \n status;","time":4.2504837513}} {"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":"\n\nTo find the maximum value of `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n status,\n MAX(progesteronereceptor) AS max_progesterone_receptor\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis query will return the maximum `progesteronereceptor` value for each unique `status` in the `breastCancer` table.","cost":0.0005634,"response_parsed":"SELECT \n status,\n MAX(progesteronereceptor) AS max_progesterone_receptor\nFROM \n breastCancer\nGROUP BY \n status;","time":4.2210359573}} {"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":"\n\nTo find the average of `progesteronereceptor` for each `status` in the `breastCancer` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n status,\n AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis query will:\n1. Group the rows in the `breastCancer` table by the `status` column.\n2. Calculate the average value of `progesteronereceptor` for each group (i.e., for each `status`).\n3. Return a result set with two columns: `status` and `avg_progesteronereceptor` (the average value of `progesteronereceptor` for that status).","cost":0.0005922,"response_parsed":"SELECT \n status,\n AVG(progesteronereceptor) AS avg_progesteronereceptor\nFROM \n breastCancer\nGROUP BY \n status;","time":4.2153475285}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of the `progesteronereceptor` for each unique `status` in the `breastCancer` table. Here's the SQL code:\n\n```sql\nSELECT \n status,\n SUM(progesteronereceptor) AS sum_progesteronereceptor\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis SQL query will:\n1. Select the `status` column and the sum of the `progesteronereceptor` column.\n2. Group the results by the `status` column.\n3. Return the sum of `progesteronereceptor` for each unique `status`.","cost":0.0005607,"response_parsed":"SELECT \n status,\n SUM(progesteronereceptor) AS sum_progesteronereceptor\nFROM \n breastCancer\nGROUP BY \n status;","time":3.7864849567}} {"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":"\n\nTo find the minimum number of positive lymph nodes for each status in the `breastCancer` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n status,\n MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis query will return the minimum value of `numberpositivelymphnodes` for each unique `status` in the `breastCancer` table.","cost":0.0005121,"response_parsed":"SELECT \n status,\n MIN(numberpositivelymphnodes) AS min_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n status;","time":3.7079322338}} {"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":"\n\nTo translate the question into SQL code, we need to find the maximum value of `numberpositivelymphnodes` for each unique `status` in the `breastCancer` table. Here's the SQL code:\n\n```sql\nSELECT \n status,\n MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis SQL query will:\n1. Select the `status` column.\n2. Calculate the maximum value of `numberpositivelymphnodes` for each `status` using the `MAX()` function.\n3. Group the results by the `status` column to ensure we get one maximum value per status.","cost":0.0006543,"response_parsed":"SELECT \n status,\n MAX(numberpositivelymphnodes) AS max_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n status;","time":5.2803378105}} {"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":"\n\nTo find the average number of positive lymph nodes for each status in the `breastCancer` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n status,\n AVG(numberpositivelymphnodes) AS average_number\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis query will:\n1. Group the rows in the `breastCancer` table by the `status` column.\n2. Calculate the average value of `numberpositivelymphnodes` for each group (i.e., for each status).\n3. Return a result set with two columns: `status` and `average_number` (the average number of positive lymph nodes for that status).","cost":0.0005805,"response_parsed":"SELECT \n status,\n AVG(numberpositivelymphnodes) AS average_number\nFROM \n breastCancer\nGROUP BY \n status;","time":4.3011181355}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of `numberpositivelymphnodes` for each `status` in the `breastCancer` table. Here's the SQL query:\n\n```sql\nSELECT \n status,\n SUM(numberpositivelymphnodes) AS total_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n status;\n```\n\nThis query will:\n1. Select the `status` column.\n2. Calculate the sum of `numberpositivelymphnodes` for each `status`.\n3. Group the results by the `status` column.\n\nThe result will show the total number of positive lymph nodes for each status in the `breastCancer` table.","cost":0.0005625,"response_parsed":"SELECT \n status,\n SUM(numberpositivelymphnodes) AS total_numberpositivelymphnodes\nFROM \n breastCancer\nGROUP BY \n status;","time":3.9104025364}} {"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":"\n\nTo count the number of rows in the `heartAttack` table for each sex, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n sex,\n COUNT(*) AS count_per_sex\nFROM \n heartAttack\nGROUP BY \n sex\nORDER BY \n sex;\n```\n\nThis query will:\n1. Select the `sex` column and count the number of rows for each unique `sex` value.\n2. Group the results by the `sex` column.\n3. Optionally order the results by `sex` for better readability.\n\nThe result will show the number of rows in the `heartAttack` table for each unique `sex` value.","cost":0.000648,"response_parsed":"SELECT \n sex,\n COUNT(*) AS count_per_sex\nFROM \n heartAttack\nGROUP BY \n sex\nORDER BY \n sex;","time":5.5142486095}} {"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":"\n\nTo count the number of rows for each `chestpaintype` in the `heartAttack` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n chestpaintype,\n COUNT(*) as count\nFROM \n heartAttack\nGROUP BY \n chestpaintype\nORDER BY \n chestpaintype;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `chestpaintype` column.\n2. Count the number of rows in each group.\n3. Return the results sorted by `chestpaintype`.","cost":0.0005463,"response_parsed":"SELECT \n chestpaintype,\n COUNT(*) as count\nFROM \n heartAttack\nGROUP BY \n chestpaintype\nORDER BY \n chestpaintype;","time":3.916166544}} {"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":"\n\nTo count the number of rows for each `fastingbloodsugar` value in the `heartAttack` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT fastingbloodsugar, COUNT(*) as count_of_rows\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` column.\n2. Count the number of rows for each unique `fastingbloodsugar` value.\n3. Return a result set with two columns: `fastingbloodsugar` (the unique values) and `count_of_rows` (the count of rows for each value).","cost":0.0006849,"response_parsed":"SELECT fastingbloodsugar, COUNT(*) as count_of_rows\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":5.8742821217}} {"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":"\n\nTo translate the question into SQL code, we need to count the number of rows in the `heartAttack` table for each unique value in the `restingelectrocardiographicrresults` column. Here is the SQL code:\n\n```sql\nSELECT restingelectrocardiographicrresults, COUNT(*) as count\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n```\n\nThis SQL code will:\n1. Select the `restingelectrocardiographicrresults` column\n2. Count the number of rows for each unique value in the `restingelectrocardiographicrresults` column\n3. Group the results by the `restingelectrocardiographicrresults` column\n4. Return the results with the count for each group","cost":0.0007344,"response_parsed":"SELECT restingelectrocardiographicrresults, COUNT(*) as count\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":5.7637073994}} {"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":"\n\nTo count the number of rows in the `heartAttack` table for each output, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `output` column.\n\n```sql\nSELECT output, COUNT(*) \nFROM heartAttack \nGROUP BY output;\n```","cost":0.0005337,"response_parsed":"SELECT output, COUNT(*) \nFROM heartAttack \nGROUP BY output;","time":4.4647738934}} {"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":"\n\nTo find the minimum age for each unique value in the `restingelectrocardiographicrresults` column from the `heartAttack` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n restingelectrocardiographicrresults,\n MIN(age) AS min_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;\n```\n\nThis query will return the minimum age for each unique `restingelectrocardiographicrresults` value in the `heartAttack` table.","cost":0.0005355,"response_parsed":"SELECT \n restingelectrocardiographicrresults,\n MIN(age) AS min_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;","time":3.7893857956}} {"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":"\n\nTo find the maximum age for each unique value in the `restingelectrocardiographicrresults` column from the `heartAttack` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT \n restingelectrocardiographicrresults,\n MAX(age) AS max_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;\n```\n\nThis SQL query will:\n1. Group the rows in the `heartAttack` table by the `restingelectrocardiographicrresults` column.\n2. For each group, calculate the maximum value of the `age` column.\n3. Return a result set with two columns: `restingelectrocardiographicrresults` and `max_age` (the maximum age for each group).","cost":0.000585,"response_parsed":"SELECT \n restingelectrocardiographicrresults,\n MAX(age) AS max_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;","time":4.4097533226}} {"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":"\n\nTo find the average age for each `restingelectrocardiographicrresults` in the `heartAttack` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n restingelectrocardiographicrresults,\n AVG(age) AS average_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;\n```\n\nThis query will:\n1. Select the `restingelectrocardiographicrresults` column and the average of the `age` column.\n2. Group the results by the `restingelectrocardiographicrresults` values.\n3. Return the average age for each group of `restingelectrocardiographicrresults`.","cost":0.000603,"response_parsed":"SELECT \n restingelectrocardiographicrresults,\n AVG(age) AS average_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;","time":4.3336520195}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of ages for each unique value in the `restingelectrocardiographicrresults` column from the `heartAttack` table. Here's the SQL code:\n\n```sql\nSELECT \n restingelectrocardiographicrresults,\n SUM(age) AS total_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;\n```\n\nThis SQL query will:\n1. Select the `restingelectrocardiographicrresults` column to group the results by its unique values.\n2. Calculate the sum of the `age` column for each group using the `SUM()` function.\n3. Group the results by the `restingelectrocardiographicrresults` column using the `GROUP BY` clause.","cost":0.0007362,"response_parsed":"SELECT \n restingelectrocardiographicrresults,\n SUM(age) AS total_age\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;","time":5.8638968468}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the minimum value of `numberofmajorvvessels` for each unique value of `restingelectrocardiographicrresults` in the `heartAttack` table. Here is the SQL code:\n\n```sql\nSELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_numberofmajorvvessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;\n```","cost":0.0006948,"response_parsed":"SELECT restingelectrocardiographicrresults, MIN(numberofmajorvvessels) AS min_numberofmajorvvessels\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults;","time":5.4251737595}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the maximum value of `numberofmajorvvessels` for each unique value of `restingelectrocardiographicrresults` in the `heartAttack` table. Here's the SQL code:\n\n```sql\nSELECT \n restingelectrocardiographicrresults AS result,\n MAX(numberofmajorvvessels) AS max_vessels\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;\n```\n\nThis SQL query will:\n1. Group the rows in the `heartAttack` table by the `restingelectrocardiographicrresults` column.\n2. For each group, calculate the maximum value of `numberofmajorvvessels`.\n3. Return the result with the `restingelectrocardiographicrresults` value and its corresponding maximum `numberofmajorvvessels`.","cost":0.0007605,"response_parsed":"SELECT \n restingelectrocardiographicrresults AS result,\n MAX(numberofmajorvvessels) AS max_vessels\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;","time":6.0379912853}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the average of `numberofmajorvvessels` for each unique value in the `restingelectrocardiographicrresults` column in the `heartAttack` table. Here is the SQL code:\n\n```sql\nSELECT \n restingelectrocardiographicrresults,\n AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;\n```\n\nThis SQL query will:\n1. Select the `restingelectrocardiographicrresults` column to group the results by each unique value.\n2. Calculate the average of `numberofmajorvvessels` for each group using the `AVG()` function.\n3. Group the results by the `restingelectrocardiographicrresults` column using the `GROUP BY` clause.","cost":0.0007533,"response_parsed":"SELECT \n restingelectrocardiographicrresults,\n AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;","time":6.2050237656}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of `numberofmajorvvessels` for each unique value of `restingelectrocardiographicrresults` in the `heartAttack` table. Here is the SQL code:\n\n```sql\nSELECT \n restingelectrocardiographicrresults AS result,\n SUM(numberofmajorvvessels) AS total_vessels\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;\n```\n\nThis SQL query will:\n1. Group the rows in the `heartAttack` table by the `restingelectrocardiographicrresults` column.\n2. For each group, calculate the sum of the `numberofmajorvvessels` column.\n3. Return the results with the `restingelectrocardiographicrresults` value and the corresponding sum of `numberofmajorvvessels`.","cost":0.0007137,"response_parsed":"SELECT \n restingelectrocardiographicrresults AS result,\n SUM(numberofmajorvvessels) AS total_vessels\nFROM \n heartAttack\nGROUP BY \n restingelectrocardiographicrresults;","time":5.7681632042}} {"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":"\n\nTo find the minimum age for each unique value of `fastingbloodsugar` in the `heartAttack` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT fastingbloodsugar, MIN(age) AS min_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n```\n\nThis query will return the minimum age for each distinct `fastingbloodsugar` value in the `heartAttack` table.","cost":0.0005328,"response_parsed":"SELECT fastingbloodsugar, MIN(age) AS min_age\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":4.2654521465}} {"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":"\n\nTo find the maximum age for each unique value of `fastingbloodsugar` in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT \n fastingbloodsugar,\n MAX(age) AS max_age\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` column.\n2. For each group (i.e., for each unique value of `fastingbloodsugar`), it will calculate the maximum value of the `age` column.\n3. Return a result set with two columns: `fastingbloodsugar` and `max_age` (the maximum age for that fasting blood sugar category).","cost":0.0006336,"response_parsed":"SELECT \n fastingbloodsugar,\n MAX(age) AS max_age\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;","time":5.3090624809}} {"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":"\n\nTo find the average age for each `fastingbloodsugar` value in the `heartAttack` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n fastingbloodsugar,\n AVG(age) AS avg_age\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar\nORDER BY \n fastingbloodsugar;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` values.\n2. Calculate the average age for each group.\n3. Return the results sorted by `fastingbloodsugar` values.","cost":0.0006318,"response_parsed":"SELECT \n fastingbloodsugar,\n AVG(age) AS avg_age\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar\nORDER BY \n fastingbloodsugar;","time":5.3909673691}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of the \"age\" column for each unique value in the \"fastingbloodsugar\" column in the \"heartAttack\" table.\n\n```sql\nSELECT \n fastingbloodsugar,\n SUM(age) AS total_age\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;\n```","cost":0.0004788,"response_parsed":"SELECT \n fastingbloodsugar,\n SUM(age) AS total_age\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;","time":3.0777006149}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the minimum value of `numberofmajorvvessels` for each distinct value of `fastingbloodsugar` in the `heartAttack` table. Here's the SQL code:\n\n```sql\nSELECT \n fastingbloodsugar,\n MIN(numberofmajorvvessels) AS min_vessels\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;\n```\n\nThis SQL query will:\n1. Select the `fastingbloodsugar` column.\n2. Calculate the minimum value of `numberofmajorvvessels` for each `fastingbloodsugar` group using the `MIN()` function.\n3. Group the results by the `fastingbloodsugar` values.","cost":0.0005598,"response_parsed":"SELECT \n fastingbloodsugar,\n MIN(numberofmajorvvessels) AS min_vessels\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;","time":4.9221360683}} {"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":"\n\nTo translate the question into SQL code, we need to find the maximum value of `numberofmajorvvessels` for each distinct `fastingbloodsugar` value in the `heartAttack` table. Here's the SQL code:\n\n```sql\nSELECT \n fastingbloodsugar,\n MAX(numberofmajorvvessels) AS max_numberofmajorvvessels\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;\n```\n\nThis SQL query will:\n1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` column.\n2. For each group (i.e., for each distinct `fastingbloodsugar` value), it will calculate the maximum value of `numberofmajorvvessels`.\n3. Return a result set with two columns: `fastingbloodsugar` and `max_numberofmajorvvessels` (the maximum value of `numberofmajorvvessels` for each `fastingbloodsugar`).","cost":0.0006192,"response_parsed":"SELECT \n fastingbloodsugar,\n MAX(numberofmajorvvessels) AS max_numberofmajorvvessels\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;","time":4.8064537048}} {"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":"\n\nTo find the average of `numberofmajorvvessels` for each `fastingbloodsugar` in the `heartAttack` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n fastingbloodsugar,\n AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `fastingbloodsugar` values.\n2. Calculate the average of `numberofmajorvvessels` for each group.\n3. Return the results with the `fastingbloodsugar` value and its corresponding average.","cost":0.0006309,"response_parsed":"SELECT \n fastingbloodsugar,\n AVG(numberofmajorvvessels) AS avg_numberofmajorvvessels\nFROM \n heartAttack\nGROUP BY \n fastingbloodsugar;","time":4.8377299309}} {"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":"\n\nTo translate the question into SQL code, we need to calculate the sum of `numberofmajorvvessels` for each unique value of `fastingbloodsugar` in the `heartAttack` table. This can be achieved using the `SUM()` aggregation function combined with the `GROUP BY` clause.\n\n```sql\nSELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_vessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;\n```","cost":0.0006939,"response_parsed":"SELECT fastingbloodsugar, SUM(numberofmajorvvessels) AS total_vessels\nFROM heartAttack\nGROUP BY fastingbloodsugar;","time":5.5616161823}} {"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":"\n\nTo find all the `menopausalstatus` values that have at least 12 records in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) >= 12;\n```\n\nThis query:\n1. Groups the records in the `breastCancer` table by the `menopausalstatus` column.\n2. Counts the number of records in each group using `COUNT(*)`.\n3. Filters the results to include only those groups with at least 12 records using `HAVING COUNT(*) >= 12`.\n\nThe result will be a list of `menopausalstatus` values that meet the condition.","cost":0.0006291,"response_parsed":"SELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(*) >= 12;","time":4.8544354439}} {"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":"\n\nTo find all the `menopausalstatus` that have at most 12 records in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(patientidentifier) <= 12;\n```\n\nThis query:\n1. Groups the records in the `breastCancer` table by the `menopausalstatus` column.\n2. Counts the number of records (`patientidentifier`) for each group.\n3. Filters the results to include only those groups with 12 or fewer records.","cost":0.0006183,"response_parsed":"SELECT menopausalstatus\nFROM breastCancer\nGROUP BY menopausalstatus\nHAVING COUNT(patientidentifier) <= 12;","time":5.1917300224}} {"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":"\n\nTo find all the `hormonaltherapy` entries in the `breastCancer` table that have at least 12 records, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(hormonaltherapy) >= 12;\n```\n\nThis query:\n1. Selects the `hormonaltherapy` column.\n2. Groups the results by the `hormonaltherapy` values.\n3. Filters the results to include only those groups with at least 12 records.","cost":0.0005454,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(hormonaltherapy) >= 12;","time":4.6495320797}} {"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":"\n\nTo find all the `hormonaltherapy` values in the `breastCancer` table that have at most 12 records, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(*) <= 12;\n```\n\nThis query:\n1. Groups the rows in the `breastCancer` table by the `hormonaltherapy` column.\n2. Counts the number of records for each `hormonaltherapy` value.\n3. Filters the results to include only those `hormonaltherapy` values that have 12 or fewer records.","cost":0.000612,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING COUNT(*) <= 12;","time":4.8066625595}} {"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":"\n\nTo find all the status values in the `breastCancer` table that have at least 12 records, you can use the following SQL query:\n\n```sql\nSELECT status FROM breastCancer GROUP BY status HAVING COUNT(*) >= 12;\n```\n\nThis query:\n1. Groups the rows in the `breastCancer` table by the `status` column.\n2. Counts the number of records for each `status` using `COUNT(*)`.\n3. Filters the results to include only those `status` values that have at least 12 records using `HAVING COUNT(*) >= 12`.","cost":0.0007245,"response_parsed":"SELECT status FROM breastCancer GROUP BY status HAVING COUNT(*) >= 12;","time":6.6237535477}} {"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":"\n\nTo find all the statuses in the `breastCancer` table that have at most 12 records, you can use the following SQL query:\n\n```sql\nSELECT status, COUNT(*) as record_count\nFROM \"breastCancer\"\nGROUP BY status\nHAVING COUNT(*) <= 12;\n```\n\nThis query will:\n1. Select the `status` column and count the number of records for each status.\n2. Group the results by the `status` column.\n3. Filter the results to include only those statuses that have 12 or fewer records.","cost":0.0006426,"response_parsed":"SELECT status, COUNT(*) as record_count\nFROM \"breastCancer\"\nGROUP BY status\nHAVING COUNT(*) <= 12;","time":5.171929121}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average tumor size for each type of hormonal therapy and then filters the results to include only those hormonal therapies where the average tumor size is at least 30.14.\n\nHere is the SQL code:\n\n```sql\nSELECT hormonaltherapy, AVG(tumorsize) AS average_tumorsize\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(tumorsize) >= 30.14;\n```\n\n### Explanation:\n1. **SELECT hormonaltherapy, AVG(tumorsize) AS average_tumorsize**: This selects the `hormonaltherapy` column and calculates the average of the `tumorsize` for each group of `hormonaltherapy`. The average is aliased as `average_tumorsize` for clarity.\n2. **FROM breastCancer**: This specifies the table from which to retrieve the data.\n3. **GROUP BY hormonaltherapy**: This groups the data by the `hormonaltherapy` column, allowing us to calculate the average tumor size for each type of hormonal therapy.\n4. **HAVING AVG(tumorsize) >= 30.14**: This filters the results to include only those groups where the average tumor size is at least 30.14.\n\nThis query will return the hormonal therapies and their corresponding average tumor sizes, but only for those where the average tumor size meets or exceeds 30.14.","cost":0.0009792,"response_parsed":"SELECT hormonaltherapy, AVG(tumorsize) AS average_tumorsize\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(tumorsize) >= 30.14;","time":8.1096246243}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average tumor size for each type of hormonal therapy and then filters the results to include only those hormonal therapies where the average tumor size is at most 30.14.\n\nHere is the SQL code:\n\n```sql\nSELECT \n hormonaltherapy,\n AVG(tumorsize) AS avg_tumorsize\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy\nHAVING \n AVG(tumorsize) <= 30.14;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `hormonaltherapy` column and calculate the average of `tumorsize` for each group of `hormonaltherapy`. The average is aliased as `avg_tumorsize` for clarity.\n2. **FROM Clause**: We specify the table `breastCancer` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `hormonaltherapy` column to calculate the average tumor size for each type of hormonal therapy.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the average tumor size is at most 30.14.\n\nThis query will return the hormonal therapies and their corresponding average tumor sizes, but only for those where the average tumor size is 30.14 or less.","cost":0.0008361,"response_parsed":"SELECT \n hormonaltherapy,\n AVG(tumorsize) AS avg_tumorsize\nFROM \n breastCancer\nGROUP BY \n hormonaltherapy\nHAVING \n AVG(tumorsize) <= 30.14;","time":6.5175719261}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `tumorsize` values and filter the results to include only those rows where the summation of `tumorsize` is at least 389.5. Here's the SQL code:\n\n```sql\nSELECT hormonaltherapy\nFROM \"breastCancer\"\nGROUP BY hormonaltherapy\nHAVING SUM(tumorsize) >= 389.5;\n```\n\n### Explanation:\n1. **SELECT hormonaltherapy**: This selects the `hormonaltherapy` column, which contains the information we want to retrieve.\n2. **FROM \"breastCancer\"**: This specifies the table from which to retrieve the data.\n3. **GROUP BY hormonaltherapy**: This groups the rows by the `hormonaltherapy` column, allowing us to aggregate the `tumorsize` values for each unique `hormonaltherapy`.\n4. **HAVING SUM(tumorsize) >= 389.5**: This filters the grouped results to include only those groups where the sum of `tumorsize` is at least 389.5.\n\nThis query will return the `hormonaltherapy` values where the total `tumorsize` for that therapy meets or exceeds 389.5.","cost":0.0006822,"response_parsed":"SELECT hormonaltherapy\nFROM \"breastCancer\"\nGROUP BY hormonaltherapy\nHAVING SUM(tumorsize) >= 389.5;","time":5.1066854}} {"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":"\n\nTo answer the question, we need to fetch the `hormonaltherapy` entries from the `breastCancer` table where the sum of `tumorsize` is at most 389.5. Here's the SQL code to achieve this:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nWHERE tumorsize <= 389.5;\n```\n\nThis SQL query will return all `hormonaltherapy` values from the `breastCancer` table where the corresponding `tumorsize` is less than or equal to 389.5.","cost":0.0006876,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nWHERE tumorsize <= 389.5;","time":5.4316260815}} {"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":"\n\nTo fetch the hormonal therapies where the average age is at least 53.95 from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) >= 53.95;\n```\n\nThis query:\n1. Groups the rows by the `hormonaltherapy` column.\n2. Calculates the average age for each group using the `AVG()` function.\n3. Filters the groups to include only those where the average age is at least 53.95 using the `HAVING` clause.","cost":0.000567,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) >= 53.95;","time":4.2242941856}} {"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":"\n\nTo fetch the hormonal therapies where the average age is at most 53.95 from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) <= 53.95;\n```\n\nThis query:\n1. Groups the data by `hormonaltherapy`.\n2. Calculates the average age for each group using `AVG(age)`.\n3. Filters the results to include only those groups where the average age is less than or equal to 53.95.","cost":0.0005553,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING AVG(age) <= 53.95;","time":4.717851162}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `age` values for each `hormonaltherapy` type in the `breastCancer` table and then filter the results to include only those `hormonaltherapy` types where the sum of `age` is at least 640.5.\n\nHere is the SQL code:\n\n```sql\nSELECT hormonaltherapy, SUM(age) AS total_age\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(age) >= 640.5;\n```\n\n### Explanation:\n1. **SELECT hormonaltherapy, SUM(age) AS total_age**: This selects the `hormonaltherapy` column and calculates the sum of the `age` column for each group of `hormonaltherapy` entries. The sum is aliased as `total_age` for clarity.\n2. **FROM breastCancer**: This specifies the table from which to retrieve the data.\n3. **GROUP BY hormonaltherapy**: This groups the rows by the `hormonaltherapy` column, allowing us to aggregate the `age` values for each `hormonaltherapy` type.\n4. **HAVING SUM(age) >= 640.5**: This filters the grouped results to include only those groups where the sum of `age` is at least 640.5.\n\nThis query will return the `hormonaltherapy` types and their corresponding total ages for groups where the sum of ages meets or exceeds 640.5.","cost":0.0008316,"response_parsed":"SELECT hormonaltherapy, SUM(age) AS total_age\nFROM breastCancer\nGROUP BY hormonaltherapy\nHAVING SUM(age) >= 640.5;","time":7.2968559265}} {"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":"\n\nTo translate the question into SQL code, we need to sum the `age` column in the `breastCancer` table and filter the results to include only those rows where the sum of `age` is at most 640.5. Here's the SQL code:\n\n```sql\nSELECT hormonaltherapy\nFROM breastCancer\nWHERE age <= 640.5;\n```\n\nThis SQL query will:\n1. Select the `hormonaltherapy` column from the `breastCancer` table.\n2. Filter the rows to include only those where the `age` is less than or equal to 640.5.","cost":0.0006138,"response_parsed":"SELECT hormonaltherapy\nFROM breastCancer\nWHERE age <= 640.5;","time":4.5520267487}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `tumorsize` for each `status` in the `breastCancer` table and then filters the results to include only those statuses where the average `tumorsize` is at least 34.41.\n\n```sql\nSELECT \n status,\n AVG(tumorsize) AS avg_tumor_size\nFROM \n breastCancer\nGROUP BY \n status\nHAVING \n AVG(tumorsize) >= 34.41;\n```","cost":0.0005994,"response_parsed":"SELECT \n status,\n AVG(tumorsize) AS avg_tumor_size\nFROM \n breastCancer\nGROUP BY \n status\nHAVING \n AVG(tumorsize) >= 34.41;","time":4.9410288334}} {"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":"\n\nTo fetch the status where the average tumor size is at most 34.41 from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(tumorsize) <= 34.41;\n```\n\nThis query:\n1. Groups the rows in the `breastCancer` table by the `status` column.\n2. Calculates the average `tumorsize` for each group using the `AVG()` function.\n3. Filters the results to include only those groups where the average `tumorsize` is less than or equal to 34.41.","cost":0.0005769,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(tumorsize) <= 34.41;","time":4.0573706627}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `tumorsize` for each `status` in the `breastCancer` table and then filter the results to include only those statuses where the sum of `tumorsize` is at least 389.5.\n\nHere is the SQL code:\n\n```sql\nSELECT status, SUM(tumorsize) AS total_tumor_size\nFROM breastCancer\nGROUP BY status\nHAVING SUM(tumorsize) >= 389.5;\n```\n\n### Explanation:\n1. **SELECT status, SUM(tumorsize) AS total_tumor_size**: This selects the `status` column and calculates the sum of the `tumorsize` for each group of `status`. The sum is aliased as `total_tumor_size` for clarity.\n2. **FROM breastCancer**: This specifies the table from which to retrieve the data.\n3. **GROUP BY status**: This groups the rows by the `status` column, allowing us to aggregate the `tumorsize` values for each unique `status`.\n4. **HAVING SUM(tumorsize) >= 389.5**: This filters the grouped results to include only those groups where the sum of `tumorsize` is at least 389.5.\n\nThis query will return the `status` and the corresponding sum of `tumorsize` for each `status` where the sum meets or exceeds 389.5.","cost":0.000909,"response_parsed":"SELECT status, SUM(tumorsize) AS total_tumor_size\nFROM breastCancer\nGROUP BY status\nHAVING SUM(tumorsize) >= 389.5;","time":7.7706992626}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the `status` from the `breastCancer` table where the sum of `tumorsize` is at most 389.5. Here's the SQL code:\n\n```sql\nSELECT status \nFROM breastCancer \nGROUP BY status \nHAVING SUM(tumorsize) <= 389.5;\n```\n\nThis SQL query will:\n1. Group the rows in the `breastCancer` table by the `status` column.\n2. Calculate the sum of `tumorsize` for each group.\n3. Filter the results to include only those groups where the sum of `tumorsize` is less than or equal to 389.5.\n4. Return the `status` values that meet this condition.","cost":0.0006561,"response_parsed":"SELECT status \nFROM breastCancer \nGROUP BY status \nHAVING SUM(tumorsize) <= 389.5;","time":4.8680608273}} {"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":"\n\nTo answer the question, we need to fetch the `status` from the `breastCancer` table where the average age for each `status` is at least 53.44. Here's the SQL code to achieve this:\n\n```sql\nSELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) >= 53.44;\n```\n\nThis SQL query:\n1. Selects the `status` column from the `breastCancer` table.\n2. Groups the rows by the `status` column.\n3. Filters the groups to include only those where the average age is at least 53.44.","cost":0.0006579,"response_parsed":"SELECT status\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) >= 53.44;","time":4.7175071239}} {"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":"\n\nTo answer the question \"List the status which average of age is at most 53.44 in table breastCancer,\" we need to calculate the average age for each status and filter those statuses where the average age is less than or equal to 53.44.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT status, AVG(age) AS average_age\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) <= 53.44;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `status` column and calculate the average age for each status using `AVG(age)`. The `AS average_age` renames the calculated column for clarity.\n2. **FROM Clause**: We specify the table `breastCancer` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `status` column to calculate the average age for each unique status.\n4. **HAVING Clause**: We filter the grouped results to include only those statuses where the average age is at most 53.44.\n\nThis query will return the statuses along with their corresponding average ages, but only for those statuses where the average age is 53.44 or less.","cost":0.0007605,"response_parsed":"SELECT status, AVG(age) AS average_age\nFROM breastCancer\nGROUP BY status\nHAVING AVG(age) <= 53.44;","time":6.1433923244}} {"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":"\n\nTo answer the question, we need to sum the `age` values for each `status` in the `breastCancer` table and then filter the results to include only those statuses where the sum of ages is at least 640.5.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT status, SUM(age) AS total_age\nFROM breastCancer\nGROUP BY status\nHAVING SUM(age) >= 640.5;\n```\n\nThis query:\n1. Groups the rows in the `breastCancer` table by the `status` column.\n2. Calculates the sum of the `age` column for each group.\n3. Filters the results to include only those groups where the sum of ages is at least 640.5.","cost":0.0006768,"response_parsed":"SELECT status, SUM(age) AS total_age\nFROM breastCancer\nGROUP BY status\nHAVING SUM(age) >= 640.5;","time":6.4907729626}} {"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":"\n\nTo answer the question \"List the status which summation of age is at most 640.5 in table breastCancer,\" we need to calculate the sum of ages for each status and filter those statuses where the sum is less than or equal to 640.5.\n\n```sql\nSELECT status, SUM(age) AS total_age\nFROM \"breastCancer\"\nGROUP BY status\nHAVING SUM(age) <= 640.5;\n```","cost":0.0005688,"response_parsed":"SELECT status, SUM(age) AS total_age\nFROM \"breastCancer\"\nGROUP BY status\nHAVING SUM(age) <= 640.5;","time":5.2783753872}} {"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":"\n\nTo find all the outputs that have at least 10 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(*) >= 10;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `output` column.\n2. Count the number of records for each unique `output`.\n3. Return only those `output` values that have at least 10 records.","cost":0.0005562,"response_parsed":"SELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(*) >= 10;","time":5.1660861969}} {"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":"\n\nTo find all the output values that have at most 10 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(output) <= 10;\n```\n\nThis query:\n1. Groups the rows in the `heartAttack` table by the `output` column.\n2. Counts the number of records for each unique `output` value.\n3. Filters the results to include only those `output` values that have 10 or fewer records.","cost":0.0005337,"response_parsed":"SELECT output\nFROM heartAttack\nGROUP BY output\nHAVING COUNT(output) <= 10;","time":4.1015074253}} {"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":"\n\nTo find all the `chestpaintype` that have at least 5 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) >= 5;\n```\n\nThis query:\n1. Selects the `chestpaintype` column.\n2. Groups the rows by the `chestpaintype` values.\n3. Filters the groups to include only those with at least 5 records using the `HAVING COUNT(*) >= 5` condition.","cost":0.000639,"response_parsed":"SELECT chestpaintype\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) >= 5;","time":6.3066291809}} {"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":"\n\nTo find all the `chestpaintype` values that have at most 5 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT chestpaintype, COUNT(*) as count\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) <= 5;\n```\n\nThis query:\n1. Groups the records in the `heartAttack` table by the `chestpaintype` column.\n2. Counts the number of records for each `chestpaintype`.\n3. Filters the results to include only those `chestpaintype` values that have 5 or fewer records.","cost":0.0005616,"response_parsed":"SELECT chestpaintype, COUNT(*) as count\nFROM heartAttack\nGROUP BY chestpaintype\nHAVING COUNT(*) <= 5;","time":4.6580753326}} {"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":"\n\nTo find all the `restingelectrocardiographicrresults` that have at least 6 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults\nHAVING COUNT(*) >= 6;\n```\n\nThis query:\n1. Groups the records in the `heartAttack` table by the `restingelectrocardiographicrresults` column.\n2. Filters the groups to include only those with at least 6 records using the `HAVING COUNT(*) >= 6` condition.","cost":0.0007146,"response_parsed":"SELECT restingelectrocardiographicrresults\nFROM heartAttack\nGROUP BY restingelectrocardiographicrresults\nHAVING COUNT(*) >= 6;","time":6.1182887554}} {"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":"\n\nTo find all the `restingelectrocardiographicrresults` that have at most 6 records in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT restingelectrocardiographicrresults\nFROM heartAttack\nWHERE restingelectrocardiographicrresults IN (\n SELECT restingelectrocardiographicrresults\n FROM heartAttack\n GROUP BY restingelectrocardiographicrresults\n HAVING COUNT(restingelectrocardiographicrresults) <= 6\n);\n```\n\nThis query works as follows:\n1. The subquery groups the `restingelectrocardiographicrresults` by their values and counts how many times each value appears.\n2. The `HAVING COUNT(restingelectrocardiographicrresults) <= 6` clause filters the results to include only those values that appear at most 6 times.\n3. The outer query selects the distinct `restingelectrocardiographicrresults` values from the `heartAttack` table that match the filtered results from the subquery.","cost":0.0007704,"response_parsed":"SELECT DISTINCT restingelectrocardiographicrresults\nFROM heartAttack\nWHERE restingelectrocardiographicrresults IN (\n SELECT restingelectrocardiographicrresults\n FROM heartAttack\n GROUP BY restingelectrocardiographicrresults\n HAVING COUNT(restingelectrocardiographicrresults) <= 6\n);","time":6.569070816}} {"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":"\n\nTo answer the question, we need to write an SQL query that will fetch the `fastingbloodsugar` values from the `heartAttack` table where the average of `restingbloodpressure` is at least 145.75.\n\nHere is the SQL code:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure >= (SELECT AVG(restingbloodpressure) FROM heartAttack);\n```\n\n### Explanation:\n1. **SELECT fastingbloodsugar**: This selects the `fastingbloodsugar` column from the `heartAttack` table.\n2. **FROM heartAttack**: This specifies the table from which to retrieve the data.\n3. **WHERE restingbloodpressure >= (SELECT AVG(restingbloodpressure) FROM heartAttack)**: This filters the rows to include only those where the `restingbloodpressure` is greater than or equal to the average `restingbloodpressure` in the `heartAttack` table.\n\nThis query will return all `fastingbloodsugar` values for which the corresponding `restingbloodpressure` is at least the average `restingbloodpressure` in the table.","cost":0.0007938,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE restingbloodpressure >= (SELECT AVG(restingbloodpressure) FROM heartAttack);","time":7.1344857216}} {"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":"\n\nTo answer the question, we need to write an SQL query that retrieves the `fastingbloodsugar` values from the `heartAttack` table where the average `restingbloodpressure` is at most 145.75.\n\nHere is the SQL code:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nHAVING AVG(restingbloodpressure) <= 145.75;\n```\n\n### Explanation:\n1. **SELECT fastingbloodsugar**: This part of the query specifies that we want to retrieve the `fastingbloodsugar` values.\n2. **FROM heartAttack**: This specifies the table from which we want to retrieve the data.\n3. **HAVING AVG(restingbloodpressure) <= 145.75**: This filters the results to include only the rows where the average `restingbloodpressure` is at most 145.75.\n\nThis query will return all `fastingbloodsugar` values from the `heartAttack` table where the average `restingbloodpressure` is less than or equal to 145.75.","cost":0.0011142,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nHAVING AVG(restingbloodpressure) <= 145.75;","time":10.4227371216}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `restingbloodpressure` values and filter the results to include only those rows where the sum is at least 1343.5. Here's the SQL code:\n\n```sql\nSELECT fastingbloodsugar, SUM(restingbloodpressure) AS total_rbp\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING SUM(restingbloodpressure) >= 1343.5;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `fastingbloodsugar` column and calculate the sum of `restingbloodpressure` values, aliasing it as `total_rbp` for clarity.\n2. **FROM Clause**: We specify the table `heartAttack` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `fastingbloodsugar` column to aggregate the `restingbloodpressure` values for each unique `fastingbloodsugar` value.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the sum of `restingbloodpressure` is at least 1343.5.\n\nThis query will return the `fastingbloodsugar` values along with their corresponding total `restingbloodpressure` sums, but only for those groups where the sum meets or exceeds 1343.5.","cost":0.001026,"response_parsed":"SELECT fastingbloodsugar, SUM(restingbloodpressure) AS total_rbp\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING SUM(restingbloodpressure) >= 1343.5;","time":9.0583543777}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the `fastingbloodsugar` values from the `heartAttack` table where the sum of `restingbloodpressure` is at most 1343.5.\n\nHere is the SQL code:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE SUM(restingbloodpressure) <= 1343.5;\n```\n\nThis query will return the `fastingbloodsugar` values from the `heartAttack` table where the sum of `restingbloodpressure` is less than or equal to 1343.5.","cost":0.0010125,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE SUM(restingbloodpressure) <= 1343.5;","time":9.5725865364}} {"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":"\n\nTo answer the question \"List the fastingbloodsugar which average of age is at least 59.17 in table heartAttack,\" we need to write an SQL query that selects the `fastingbloodsugar` values from the `heartAttack` table where the average age is at least 59.17.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT fastingbloodsugar \nFROM heartAttack \nWHERE age >= 59.17;\n```\n\nThis query will return all `fastingbloodsugar` values from the `heartAttack` table where the corresponding `age` is at least 59.17.","cost":0.0008253,"response_parsed":"SELECT fastingbloodsugar \nFROM heartAttack \nWHERE age >= 59.17;","time":7.2579333782}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average age for each `fastingbloodsugar` value in the `heartAttack` table and then filters the results to include only those `fastingbloodsugar` values where the average age is at most 59.17.\n\nHere is the SQL code:\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING AVG(age) <= 59.17;\n```\n\nThis query:\n1. Groups the rows in the `heartAttack` table by the `fastingbloodsugar` column.\n2. Calculates the average age for each group using the `AVG()` function.\n3. Filters the results to include only those groups where the average age is less than or equal to 59.17 using the `HAVING` clause.\n4. Returns the `fastingbloodsugar` values that meet the condition.","cost":0.0006786,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nGROUP BY fastingbloodsugar\nHAVING AVG(age) <= 59.17;","time":5.5272974968}} {"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":"\n\nTo answer the question, we need to fetch the `fastingbloodsugar` values from the `heartAttack` table where the sum of the `age` column is at least 561.0.\n\n```sql\nSELECT fastingbloodsugar\nFROM heartAttack\nWHERE age >= 561.0;\n```\n\nThis SQL query will return all `fastingbloodsugar` values from the `heartAttack` table where the corresponding `age` value is at least 561.0.","cost":0.0009234,"response_parsed":"SELECT fastingbloodsugar\nFROM heartAttack\nWHERE age >= 561.0;","time":8.5948164463}} {"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":"\n\nTo fetch the desired information from the database, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar FROM heartAttack WHERE SUM(age) <= 561.0;\n```\n\nThis query will return the `fastingbloodsugar` values from the `heartAttack` table where the sum of the `age` column is at most 561.0.","cost":0.0009171,"response_parsed":"SELECT fastingbloodsugar FROM heartAttack WHERE SUM(age) <= 561.0;","time":8.8166210651}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average resting blood pressure for each sex in the `heartAttack` table and then filters the results to include only those sexes where the average resting blood pressure is at least 131.31.\n\nHere is the SQL code:\n\n```sql\nSELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) >= 131.31;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `sex` column and calculate the average of `restingbloodpressure` using the `AVG()` function. We alias the average as `average_resting_blood_pressure` for clarity.\n2. **FROM Clause**: We specify the table `heartAttack` as the source of data.\n3. **GROUP BY Clause**: We group the results by the `sex` column to calculate the average resting blood pressure for each sex.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the average resting blood pressure is at least 131.31.\n\nThis query will return the sex (or sexes) where the average resting blood pressure meets or exceeds 131.31.","cost":0.0007749,"response_parsed":"SELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) >= 131.31;","time":6.7187571526}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average resting blood pressure for each sex in the `heartAttack` table and then filters the results to include only those sexes where the average resting blood pressure is at most 131.31.\n\nHere is the SQL code:\n\n```sql\nSELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) <= 131.31;\n```\n\n### Explanation:\n1. **SELECT Clause**: We select the `sex` column and calculate the average of `restingbloodpressure` for each sex using the `AVG()` function. The `AS` keyword is used to alias the calculated column as `average_resting_blood_pressure` for better readability.\n2. **FROM Clause**: We specify the table `heartAttack` as the source of data.\n3. **GROUP BY Clause**: We group the rows by the `sex` column to calculate the average resting blood pressure for each sex separately.\n4. **HAVING Clause**: We filter the grouped results to include only those groups where the average resting blood pressure is at most 131.31.\n\nThis query will return the sex (or sexes) where the average resting blood pressure is 131.31 or less.","cost":0.0007515,"response_parsed":"SELECT sex, AVG(restingbloodpressure) AS average_resting_blood_pressure\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(restingbloodpressure) <= 131.31;","time":6.735979557}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `restingbloodpressure` values for each `sex` in the `heartAttack` table and then filter the results to include only those sexes where the sum is at least 1343.5.\n\nHere is the SQL code:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) >= 1343.5;\n```\n\nThis query:\n1. Selects the `sex` column.\n2. Groups the rows by the `sex` column.\n3. Uses the `HAVING` clause to filter the groups where the sum of `restingbloodpressure` is at least 1343.5.","cost":0.0006435,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) >= 1343.5;","time":5.2247867584}} {"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":"\n\nTo answer the question \"List the sex which summation of restingbloodpressure is at most 1343.5 in table heartAttack,\" we can use the following SQL query:\n\n```sql\nSELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) <= 1343.5;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `sex` column.\n2. Calculate the sum of `restingbloodpressure` for each group.\n3. Filter the results to include only those groups where the sum of `restingbloodpressure` is less than or equal to 1343.5.\n4. Return the `sex` values that meet this condition.","cost":0.0006462,"response_parsed":"SELECT sex\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(restingbloodpressure) <= 1343.5;","time":5.1550960541}} {"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":"\n\nTo answer the question \"List the sex which average of age is at least 58.78 in table heartAttack,\" we can use the following SQL query:\n\n```sql\nSELECT sex, AVG(age) AS average_age\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) >= 58.78;\n```\n\nThis query:\n1. Selects the `sex` column and calculates the average age for each sex.\n2. Groups the results by the `sex` column.\n3. Filters the results to include only those groups where the average age is at least 58.78.","cost":0.0006192,"response_parsed":"SELECT sex, AVG(age) AS average_age\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) >= 58.78;","time":4.951921463}} {"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":"\n\nTo answer the question \"List the sex which average of age is at most 58.78 in table heartAttack,\" we can use the following SQL query:\n\n```sql\nSELECT sex, AVG(age) AS average_age\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) <= 58.78;\n```\n\nThis query:\n1. Selects the `sex` column and calculates the average age for each sex.\n2. Groups the results by the `sex` column.\n3. Filters the results to include only those groups where the average age is less than or equal to 58.78.","cost":0.0006174,"response_parsed":"SELECT sex, AVG(age) AS average_age\nFROM heartAttack\nGROUP BY sex\nHAVING AVG(age) <= 58.78;","time":5.2918679714}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the sum of ages for each sex in the `heartAttack` table and then filters the results to include only those sexes where the sum of ages is at least 561.0.\n\nHere is the SQL code:\n\n```sql\nSELECT sex, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) >= 561.0;\n```\n\nThis query:\n1. Groups the rows in the `heartAttack` table by the `sex` column.\n2. Calculates the sum of the `age` column for each group using the `SUM()` function.\n3. Filters the results to include only those groups where the sum of ages is at least 561.0 using the `HAVING` clause.\n4. Returns the `sex` and the corresponding `total_age` for the filtered groups.","cost":0.0006894,"response_parsed":"SELECT sex, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) >= 561.0;","time":7.1024441719}} {"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":"\n\nTo answer the question \"List the sex which summation of age is at most 561.0 in table heartAttack,\" we can use the following SQL query:\n\n```sql\nSELECT sex, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) <= 561.0;\n```\n\nThis query will:\n1. Group the rows in the `heartAttack` table by the `sex` column.\n2. Calculate the sum of the `age` column for each group.\n3. Filter the results to include only those groups where the sum of `age` is at most 561.0.\n4. Return the `sex` and the corresponding `total_age` for those groups.","cost":0.0005481,"response_parsed":"SELECT sex, SUM(age) AS total_age\nFROM heartAttack\nGROUP BY sex\nHAVING SUM(age) <= 561.0;","time":4.6901276112}} {"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":"\n\nTo fetch the `menopausalstatus` along with the corresponding `hormonaltherapy` from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT menopausalstatus, hormonaltherapy FROM breastCancer;\n```\n\nThis query will return all rows from the `breastCancer` table, showing the `menopausalstatus` and `hormonaltherapy` for each patient.","cost":0.0006696,"response_parsed":"SELECT menopausalstatus, hormonaltherapy FROM breastCancer;","time":6.300948143}} {"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":"\n\nTo fetch the `menopausalstatus` along with all the `status` entries from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT menopausalstatus, status FROM breastCancer;\n```","cost":0.0004509,"response_parsed":"SELECT menopausalstatus, status FROM breastCancer;","time":3.5191130638}} {"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":"\n\nTo fetch the `hormonaltherapy` along with their corresponding `status` from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT hormonaltherapy, status FROM breastCancer;\n```\n\nThis query will return all unique combinations of `hormonaltherapy` and `status` present in the `breastCancer` table.","cost":0.000594,"response_parsed":"SELECT DISTINCT hormonaltherapy, status FROM breastCancer;","time":5.6129257679}} {"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":"\n\nTo fetch the sex with all the chestpaintype in the \"heartAttack\" table, you can use the following SQL query:\n\n```sql\nSELECT sex, chestpaintype \nFROM `heartAttack`\nWHERE sex IS NOT NULL AND chestpaintype IS NOT NULL;\n```\n\nThis query will return all the rows where both the `sex` and `chestpaintype` columns have non-null values.","cost":0.0006381,"response_parsed":"SELECT sex, chestpaintype \nFROM `heartAttack`\nWHERE sex IS NOT NULL AND chestpaintype IS NOT NULL;","time":5.3274562359}} {"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":"\n\nTo retrieve the sex and corresponding fasting blood sugar values from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT sex, fastingbloodsugar FROM \"heartAttack\";\n```\n\nThis query selects the `sex` and `fastingbloodsugar` columns from the `heartAttack` table, providing the desired information.","cost":0.0006273,"response_parsed":"SELECT sex, fastingbloodsugar FROM \"heartAttack\";","time":5.1060271263}} {"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":"\n\nTo fetch the sex and resting electrocardiographic results from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT sex, restingelectrocardiographicrresults FROM \"heartAttack\";\n```\n\nThis query selects the `sex` and `restingelectrocardiographicrresults` columns from the `heartAttack` table.","cost":0.0005967,"response_parsed":"SELECT sex, restingelectrocardiographicrresults FROM \"heartAttack\";","time":4.553861618}} {"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":"\n\nTo retrieve the sex and corresponding output from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT sex, output FROM heartAttack;\n```\n\nThis query selects the `sex` and `output` columns from the `heartAttack` table, providing all the sex entries along with their associated outputs.","cost":0.000603,"response_parsed":"SELECT sex, output FROM heartAttack;","time":5.1820042133}} {"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":"\n\nTo fetch the `chestpaintype` along with `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT chestpaintype, fastingbloodsugar FROM heartAttack;\n```\n\nThis query will return all rows from the `heartAttack` table, showing the values for `chestpaintype` and `fastingbloodsugar`.","cost":0.0006561,"response_parsed":"SELECT chestpaintype, fastingbloodsugar FROM heartAttack;","time":5.5670278072}} {"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":"\n\nTo fetch the `chestpaintype` along with the `output` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT chestpaintype, output FROM heartAttack;\n```\n\nThis query will return all rows from the `heartAttack` table, specifically selecting the `chestpaintype` and `output` columns.","cost":0.0006129,"response_parsed":"SELECT chestpaintype, output FROM heartAttack;","time":5.1481819153}} {"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":"\n\nTo fetch the `fastingbloodsugar` along with the `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, restingelectrocardiographicrresults FROM heartAttack;\n```\n\nThis query will return all rows from the `heartAttack` table with the `fastingbloodsugar` and `restingelectrocardiographicrresults` columns.","cost":0.000765,"response_parsed":"SELECT fastingbloodsugar, restingelectrocardiographicrresults FROM heartAttack;","time":6.8022828102}} {"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":"\n\nTo fetch the `fastingbloodsugar` values along with the `output` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar, output FROM heartAttack;\n```\n\nThis query will return all rows from the `heartAttack` table, displaying the `fastingbloodsugar` and `output` columns.","cost":0.000585,"response_parsed":"SELECT fastingbloodsugar, output FROM heartAttack;","time":4.870565176}} {"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":"\n\nTo fetch the `restingelectrocardiographicrresults` along with all the output from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, output \nFROM heartAttack;\n```\n\nThis query selects the `restingelectrocardiographicrresults` and `output` columns from the `heartAttack` table and returns all the rows.","cost":0.0005544,"response_parsed":"SELECT restingelectrocardiographicrresults, output \nFROM heartAttack;","time":4.5693559647}} {"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":"\n\nTo fetch all data from the `breastCancer` table ordered by the `hormonaltherapy` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nORDER BY hormonaltherapy ASC;\n```\n\nThis query will:\n1. Select all columns (`*`) from the `breastCancer` table.\n2. Order the results by the `hormonaltherapy` column in ascending order (`ASC`).","cost":0.0005472,"response_parsed":"SELECT *\nFROM breastCancer\nORDER BY hormonaltherapy ASC;","time":4.3599209785}} {"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":"\n\nTo fetch all data from the `breastCancer` table ordered by the `hormonaltherapy` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM breastCancer ORDER BY hormonaltherapy DESC;\n```","cost":0.0005085,"response_parsed":"SELECT * FROM breastCancer ORDER BY hormonaltherapy DESC;","time":3.6705646515}} {"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":"\n\nTo fetch all data from the `breastCancer` table ordered by the `status` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nORDER BY status ASC;\n```","cost":0.0005652,"response_parsed":"SELECT *\nFROM breastCancer\nORDER BY status ASC;","time":4.7429516315}} {"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":"\n\nTo fetch all data from the `breastCancer` table ordered by the `status` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM \"breastCancer\" ORDER BY \"status\" DESC;\n```","cost":0.0004311,"response_parsed":"SELECT * FROM \"breastCancer\" ORDER BY \"status\" DESC;","time":2.7151489258}} {"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":"\n\nTo project the `tumorgrade` column from the `breastCancer` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT tumorgrade\nFROM breastCancer\nORDER BY tumorgrade ASC;\n```\n\nThis query will:\n1. Select the `tumorgrade` column from the `breastCancer` table.\n2. Order the results in ascending order based on the `tumorgrade` values.","cost":0.0005355,"response_parsed":"SELECT tumorgrade\nFROM breastCancer\nORDER BY tumorgrade ASC;","time":4.2981638908}} {"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":"\n\nTo project the `tumorgrade` column from the `breastCancer` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT tumorgrade \nFROM breastCancer \nORDER BY tumorgrade DESC;\n```\n\nThis query will:\n1. Select the `tumorgrade` column from the `breastCancer` table.\n2. Order the results in descending order based on the `tumorgrade` values.","cost":0.000504,"response_parsed":"SELECT tumorgrade \nFROM breastCancer \nORDER BY tumorgrade DESC;","time":3.9005708694}} {"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":"\n\nTo project the `patientidentifier` from the `breastCancer` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier ASC;\n```","cost":0.0004716,"response_parsed":"SELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier ASC;","time":3.3214623928}} {"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":"\n\nTo project the `patientidentifier` from the `breastCancer` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier DESC;\n```","cost":0.0004077,"response_parsed":"SELECT patientidentifier\nFROM breastCancer\nORDER BY patientidentifier DESC;","time":2.5089876652}} {"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":"\n\nTo fetch all data from the `heartAttack` table ordered by the `numberofmajorvvessels` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM \"heartAttack\" ORDER BY \"numberofmajorvvessels\" ASC;\n```","cost":0.0005067,"response_parsed":"SELECT * FROM \"heartAttack\" ORDER BY \"numberofmajorvvessels\" ASC;","time":3.4943189621}} {"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":"\n\nTo fetch all data from the `heartAttack` table ordered by the `numberofmajorvvessels` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM heartAttack ORDER BY numberofmajorvvessels DESC;\n```","cost":0.0005382,"response_parsed":"SELECT * FROM heartAttack ORDER BY numberofmajorvvessels DESC;","time":4.2537424564}} {"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":"\n\nTo fetch all data from the `heartAttack` table ordered by `restingbloodpressure` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nORDER BY restingbloodpressure ASC;\n```","cost":0.0004635,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY restingbloodpressure ASC;","time":3.3130731583}} {"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":"\n\nTo fetch all data from the `heartAttack` table ordered by `restingbloodpressure` in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nORDER BY restingbloodpressure DESC;\n```","cost":0.0004923,"response_parsed":"SELECT *\nFROM heartAttack\nORDER BY restingbloodpressure DESC;","time":3.6855983734}} {"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":"\n\nTo project the `restingelectrocardiographicrresults` column from the `heartAttack` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults \nFROM heartAttack \nORDER BY restingelectrocardiographicrresults ASC;\n```\n\nThis query will:\n1. Select the `restingelectrocardiographicrresults` column from the `heartAttack` table.\n2. Order the results in ascending order based on the values in the `restingelectrocardiographicrresults` column.","cost":0.0006129,"response_parsed":"SELECT restingelectrocardiographicrresults \nFROM heartAttack \nORDER BY restingelectrocardiographicrresults ASC;","time":4.4288811684}} {"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":"\n\nTo project the `restingelectrocardiographicrresults` column from the `heartAttack` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults \nFROM heartAttack \nORDER BY restingelectrocardiographicrresults DESC;\n```","cost":0.0005688,"response_parsed":"SELECT restingelectrocardiographicrresults \nFROM heartAttack \nORDER BY restingelectrocardiographicrresults DESC;","time":5.1292471886}} {"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":"\n\nTo project the \"sex\" column from the \"heartAttack\" table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT sex FROM \"heartAttack\" ORDER BY sex ASC;\n```","cost":0.0005058,"response_parsed":"SELECT sex FROM \"heartAttack\" ORDER BY sex ASC;","time":4.5154111385}} {"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":"\n\nTo project the \"sex\" column from the `heartAttack` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT sex FROM \"heartAttack\" ORDER BY sex DESC;\n```","cost":0.0005598,"response_parsed":"SELECT sex FROM \"heartAttack\" ORDER BY sex DESC;","time":5.1453397274}} {"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":"\n\nTo fetch all ages from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT age FROM breastCancer;\n```\n\nThis query will return all the age values stored in the `breastCancer` table.","cost":0.0004815,"response_parsed":"SELECT age FROM breastCancer;","time":3.8108444214}} {"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":"\n\nTo fetch all `progesteronereceptor` values from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT progesteronereceptor FROM breastCancer;\n```","cost":0.0004941,"response_parsed":"SELECT progesteronereceptor FROM breastCancer;","time":3.5743057728}} {"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":"\n\nTo fetch all the `estrogenreceptor` values from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT estrogenreceptor FROM breastCancer;\n```\n\nThis query will return all the values in the `estrogenreceptor` column of the `breastCancer` table.","cost":0.0005103,"response_parsed":"SELECT estrogenreceptor FROM breastCancer;","time":4.0876352787}} {"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":"\n\nTo fetch all the status entries from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT \"status\" FROM breastCancer;\n```\n\nThis query will return all the values in the `status` column of the `breastCancer` table.","cost":0.0004797,"response_parsed":"SELECT \"status\" FROM breastCancer;","time":3.6719243526}} {"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":"\n\nTo fetch all `patientidentifier` from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT patientidentifier FROM breastCancer;\n```","cost":0.0005175,"response_parsed":"SELECT patientidentifier FROM breastCancer;","time":3.972928524}} {"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":"\n\nTo show all the rows in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM breastCancer;\n```\n\nThis query will return all columns (`*`) for every row in the `breastCancer` table.","cost":0.0005706,"response_parsed":"SELECT * FROM breastCancer;","time":4.3331830502}} {"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":"\n\nTo fetch all the status entries from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT \"status\" FROM breastCancer;\n```\n\nThis query will return all the values in the `status` column of the `breastCancer` table.","cost":0.0004797,"response_parsed":"SELECT \"status\" FROM breastCancer;","time":3.7469568253}} {"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":"\n\nTo fetch the `estrogenreceptor` and `tumorgrade` from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT estrogenreceptor, tumorgrade FROM breastCancer;\n```\n\nThis query will return all rows in the `breastCancer` table, showing only the `estrogenreceptor` and `tumorgrade` columns.","cost":0.000576,"response_parsed":"SELECT estrogenreceptor, tumorgrade FROM breastCancer;","time":4.633923769}} {"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":"\n\nTo fetch the required information from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes \nFROM breastCancer;\n```\n\nThis query will return all rows from the `breastCancer` table, displaying the values for the columns `hormonaltherapy`, `patientidentifier`, and `numberpositivelymphnodes`.","cost":0.0005805,"response_parsed":"SELECT hormonaltherapy, patientidentifier, numberpositivelymphnodes \nFROM breastCancer;","time":4.2357358932}} {"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":"\n\nTo fetch the desired information from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age\nFROM breastCancer;\n```\n\nThis query will return all rows from the `breastCancer` table, displaying the columns `numberpositivelymphnodes`, `patientidentifier`, `tumorgrade`, and `age`.","cost":0.0005607,"response_parsed":"SELECT numberpositivelymphnodes, patientidentifier, tumorgrade, age\nFROM breastCancer;","time":4.0139255524}} {"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":"\n\nTo fetch the required information from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age FROM breastCancer;\n```\n\nThis query will return all rows with the specified columns (`estrogenreceptor`, `status`, `menopausalstatus`, `tumorgrade`, and `age`) from the `breastCancer` table.","cost":0.000603,"response_parsed":"SELECT estrogenreceptor, status, menopausalstatus, tumorgrade, age FROM breastCancer;","time":4.3846518993}} {"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":"\n\nTo fetch the specified columns from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize\nFROM breastCancer;\n```","cost":0.0004887,"response_parsed":"SELECT patientidentifier, hormonaltherapy, status, age, menopausalstatus, tumorsize\nFROM breastCancer;","time":3.5696446896}} {"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":"\n\nTo fetch the specified columns from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age\nFROM breastCancer;\n```\n\nThis query will return all the records from the `breastCancer` table with the columns: `tumorgrade`, `progesteronereceptor`, `menopausalstatus`, `estrogenreceptor`, `numberpositivelymphnodes`, `status`, and `age`.","cost":0.000594,"response_parsed":"SELECT tumorgrade, progesteronereceptor, menopausalstatus, estrogenreceptor, numberpositivelymphnodes, status, age\nFROM breastCancer;","time":4.2349467278}} {"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":"\n\nTo fetch the specified columns from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy\nFROM breastCancer;\n```\n\nThis query will return all rows from the `breastCancer` table with the columns: `tumorgrade`, `status`, `progesteronereceptor`, `estrogenreceptor`, `age`, `tumorsize`, `patientidentifier`, and `hormonaltherapy`.","cost":0.0005562,"response_parsed":"SELECT tumorgrade, status, progesteronereceptor, estrogenreceptor, age, tumorsize, patientidentifier, hormonaltherapy\nFROM breastCancer;","time":3.8664014339}} {"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":"\n\nTo fetch the specified columns from the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes\nFROM breastCancer;\n```","cost":0.0005877,"response_parsed":"SELECT tumorsize, hormonaltherapy, age, status, tumorgrade, menopausalstatus, progesteronereceptor, estrogenreceptor, numberpositivelymphnodes\nFROM breastCancer;","time":4.199754715}} {"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":"\n\nTo fetch all `restingelectrocardiographicrresults` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults FROM heartAttack;\n```\n\nThis query will return all the values in the `restingelectrocardiographicrresults` column of the `heartAttack` table.","cost":0.0004824,"response_parsed":"SELECT restingelectrocardiographicrresults FROM heartAttack;","time":3.243370533}} {"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":"\n\nTo fetch all `fastingbloodsugar` values from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT fastingbloodsugar FROM heartAttack;\n```","cost":0.0005931,"response_parsed":"SELECT fastingbloodsugar FROM heartAttack;","time":4.9715328217}} {"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":"\n\nTo fetch all values in the `thall` column from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT thall FROM heartAttack;\n```","cost":0.000549,"response_parsed":"SELECT thall FROM heartAttack;","time":4.5337381363}} {"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":"\n\nTo fetch all `restingbloodpressure` values from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingbloodpressure FROM heartAttack;\n```","cost":0.0005049,"response_parsed":"SELECT restingbloodpressure FROM heartAttack;","time":3.582410574}} {"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":"\n\nTo fetch all the values in the `numberofmajorvvessels` column from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT numberofmajorvvessels FROM heartAttack;\n```","cost":0.0005697,"response_parsed":"SELECT numberofmajorvvessels FROM heartAttack;","time":4.8332629204}} {"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":"\n\nTo show all the rows in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM heartAttack;\n```\n\nThis query will return all columns (`*`) for every row in the `heartAttack` table.","cost":0.0005301,"response_parsed":"SELECT * FROM heartAttack;","time":4.1958014965}} {"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":"\n\nTo fetch all `restingbloodpressure` values from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingbloodpressure FROM heartAttack;\n```","cost":0.0005193,"response_parsed":"SELECT restingbloodpressure FROM heartAttack;","time":4.0194354057}} {"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":"\n\nTo fetch the `restingbloodpressure` and `thall` columns from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingbloodpressure, thall FROM heartAttack;\n```","cost":0.0004806,"response_parsed":"SELECT restingbloodpressure, thall FROM heartAttack;","time":3.5125918388}} {"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":"\n\nTo fetch the `restingbloodpressure`, `sex`, and `fastingbloodsugar` from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingbloodpressure, sex, fastingbloodsugar FROM heartAttack;\n```","cost":0.0005778,"response_parsed":"SELECT restingbloodpressure, sex, fastingbloodsugar FROM heartAttack;","time":4.8994603157}} {"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":"\n\nTo fetch the specified columns (`thall`, `sex`, `numberofmajorvvessels`, and `age`) from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT thall, sex, numberofmajorvvessels, age FROM heartAttack;\n```","cost":0.0005544,"response_parsed":"SELECT thall, sex, numberofmajorvvessels, age FROM heartAttack;","time":4.3028328419}} {"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":"\n\nTo fetch the specified columns from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels\nFROM heartAttack;\n```\n\nThis query selects the columns `restingelectrocardiographicrresults`, `restingbloodpressure`, `thall`, `fastingbloodsugar`, and `numberofmajorvvessels` from the `heartAttack` table.","cost":0.0006678,"response_parsed":"SELECT restingelectrocardiographicrresults, restingbloodpressure, thall, fastingbloodsugar, numberofmajorvvessels\nFROM heartAttack;","time":5.4984560013}} {"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":"\n\nTo fetch the specified columns from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg\nFROM heartAttack;\n```","cost":0.0005571,"response_parsed":"SELECT sex, chestpaintype, fastingbloodsugar, age, numberofmajorvvessels, cholestoralinmg\nFROM heartAttack;","time":4.3153352737}} {"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":"\n\nTo fetch the desired data from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults\nFROM heartAttack;\n```\n\nThis SQL code selects the specified columns from the `heartAttack` table and returns all the rows.","cost":0.0005985,"response_parsed":"SELECT numberofmajorvvessels, restingbloodpressure, age, fastingbloodsugar, sex, cholestoralinmg, restingelectrocardiographicrresults\nFROM heartAttack;","time":4.7741544247}} {"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":"\n\nTo fetch the specified columns from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex\nFROM heartAttack;\n```\n\nThis query will return all rows from the `heartAttack` table with the columns: `numberofmajorvvessels`, `chestpaintype`, `restingelectrocardiographicrresults`, `output`, `fastingbloodsugar`, `restingbloodpressure`, `cholestoralinmg`, and `sex`.","cost":0.0006318,"response_parsed":"SELECT numberofmajorvvessels, chestpaintype, restingelectrocardiographicrresults, output, fastingbloodsugar, restingbloodpressure, cholestoralinmg, sex\nFROM heartAttack;","time":4.6477057934}} {"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":"\n\nTo fetch the specified columns from the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure\nFROM heartAttack;\n```\n\nThis query will return all the rows in your table with the selected columns.","cost":0.000711,"response_parsed":"SELECT chestpaintype, sex, fastingbloodsugar, restingelectrocardiographicrresults, thall, numberofmajorvvessels, age, output, restingbloodpressure\nFROM heartAttack;","time":5.9725310802}} {"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":"\n\nTo fetch the data from the `breastCancer` table where `menopausalstatus` is equal to 'postmenopausal', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE menopausalstatus = 'postmenopausal';\n```","cost":0.0005742,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE menopausalstatus = 'postmenopausal';","time":5.0746805668}} {"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":"\n\nTo fetch the data from the `breastCancer` table where the `menopausalstatus` is different from \"premenopausal,\" you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE menopausalstatus != 'premenopausal';\n```\n\nThis query will return all rows from the `breastCancer` table where the `menopausalstatus` column does not contain the value \"premenopausal.\"","cost":0.0005742,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE menopausalstatus != 'premenopausal';","time":4.3711168766}} {"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":"\n\nTo fetch the data from the `breastCancer` table where `menopausalstatus` is not equal to 'postmenopausal', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE menopausalstatus != 'postmenopausal';\n```","cost":0.0005472,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE menopausalstatus != 'postmenopausal';","time":4.4367039204}} {"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":"\n\nTo fetch the data from the `breastCancer` table where `hormonaltherapy` is equal to 'yes', you can use the following SQL query:\n\n```sql\nSELECT * FROM breastCancer WHERE hormonaltherapy = 'yes';\n```","cost":0.0005184,"response_parsed":"SELECT * FROM breastCancer WHERE hormonaltherapy = 'yes';","time":4.1092224121}} {"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":"\n\nTo fetch the data from the `breastCancer` table where the `hormonaltherapy` is different from 'no', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE hormonaltherapy != 'no';\n```","cost":0.0004842,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE hormonaltherapy != 'no';","time":3.6007471085}} {"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":"\n\nTo fetch the data from the `breastCancer` table where the `hormonaltherapy` column is not equal to 'no', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE hormonaltherapy != 'no';\n```","cost":0.0004968,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE hormonaltherapy != 'no';","time":3.713814497}} {"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":"\n\nTo fetch the data from the `breastCancer` table where the `status` is equal to `'recurrenceOrDeath'`, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE status = 'recurrenceOrDeath';\n```","cost":0.0005256,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE status = 'recurrenceOrDeath';","time":4.0161046982}} {"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":"\n\nTo fetch the data from the `breastCancer` table where the `status` is different from \"aliveWithoutRecurrence\", you can use the following SQL query:\n\n```sql\nSELECT * FROM breastCancer WHERE status <> 'aliveWithoutRecurrence';\n```\n\nThis query will return all rows from the `breastCancer` table where the `status` column does not contain the value \"aliveWithoutRecurrence\".","cost":0.0006318,"response_parsed":"SELECT * FROM breastCancer WHERE status <> 'aliveWithoutRecurrence';","time":5.4032669067}} {"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":"\n\nTo fetch the data from the `breastCancer` table where the `status` is not equal to 'aliveWithoutRecurrence', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM breastCancer\nWHERE status <> 'aliveWithoutRecurrence';\n```","cost":0.0005409,"response_parsed":"SELECT *\nFROM breastCancer\nWHERE status <> 'aliveWithoutRecurrence';","time":4.4228851795}} {"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":"\n\nTo fetch the data from the `breastCancer` table where the age is greater than 32, you can use the following SQL query:\n\n```sql\nSELECT * FROM breastCancer WHERE age > 32;\n```","cost":0.0006525,"response_parsed":"SELECT * FROM breastCancer WHERE age > 32;","time":5.4637081623}} {"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":"\n\n```sql\nSELECT * FROM breastCancer WHERE progesteronereceptor < 239;\n```","cost":0.0005931,"response_parsed":"SELECT * FROM breastCancer WHERE progesteronereceptor < 239;","time":5.0244820118}} {"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":"\n\nTo fetch the data from the `heartAttack` table where `chestpaintype` is equal to \"nonAnginalPain\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE chestpaintype = 'nonAnginalPain';\n```\n\nThis query will return all rows from the `heartAttack` table where the `chestpaintype` column is \"nonAnginalPain\".","cost":0.0005427,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE chestpaintype = 'nonAnginalPain';","time":4.9432396889}} {"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":"\n\nTo fetch the data from the `heartAttack` table where the `chestpaintype` is different from \"asymptomatic\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE chestpaintype != 'asymptomatic';\n```","cost":0.0005643,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE chestpaintype != 'asymptomatic';","time":4.5967679024}} {"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":"\n\nTo fetch the data from the `heartAttack` table where `chestpaintype` is not equal to 'typicalAngina', you can use the following SQL query:\n\n```sql\nSELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina';\n```","cost":0.0006237,"response_parsed":"SELECT * FROM heartAttack WHERE chestpaintype != 'typicalAngina';","time":5.4238433838}} {"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":"\n\nTo fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is equal to `'leftVentricularHypertrophy'`, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';\n```","cost":0.0006003,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults = 'leftVentricularHypertrophy';","time":4.9057633877}} {"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":"\n\nTo fetch the data from the `heartAttack` table where the `restingelectrocardiographicrresults` is different from \"normal\", you can use the following SQL query:\n\n```sql\nSELECT * FROM heartAttack WHERE restingelectrocardiographicrresults != 'normal';\n```","cost":0.0006066,"response_parsed":"SELECT * FROM heartAttack WHERE restingelectrocardiographicrresults != 'normal';","time":5.0721793175}} {"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":"\n\nTo fetch the data from the `heartAttack` table where `restingelectrocardiographicrresults` is not equal to \"STTWaveAbnormality\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults != 'STTWaveAbnormality';\n```","cost":0.0006228,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE restingelectrocardiographicrresults != 'STTWaveAbnormality';","time":4.8910152912}} {"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":"\n\nTo fetch the data from the `heartAttack` table where the `output` is equal to `'noHeartAttack'`, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE output = 'noHeartAttack';\n```","cost":0.0005616,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE output = 'noHeartAttack';","time":4.557464838}} {"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":"\n\nTo fetch the data from the `heartAttack` table where the `output` is different from \"heartAttack\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE output != 'heartAttack';\n```\n\nThis query will return all rows from the `heartAttack` table where the value in the `output` column is not equal to \"heartAttack\".","cost":0.000549,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE output != 'heartAttack';","time":5.2945661545}} {"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":"\n\nTo fetch the data from the `heartAttack` table where the `output` column is not equal to \"heartAttack\", you can use the following SQL query:\n\n```sql\nSELECT * FROM \"heartAttack\" WHERE \"output\" != 'heartAttack';\n```","cost":0.0006525,"response_parsed":"SELECT * FROM \"heartAttack\" WHERE \"output\" != 'heartAttack';","time":5.6964507103}} {"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":"\n\nTo fetch the data from the `heartAttack` table where `numberofmajorvvessels` is greater than 2, you can use the following SQL query:\n\n```sql\nSELECT * FROM heartAttack WHERE numberofmajorvvessels > 2;\n```","cost":0.0006741,"response_parsed":"SELECT * FROM heartAttack WHERE numberofmajorvvessels > 2;","time":5.7117476463}} {"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":"\n\nTo fetch the data from the `heartAttack` table where `cholestoralinmg` is greater than 197, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM heartAttack\nWHERE cholestoralinmg > 197;\n```\n\nThis query will return all rows from the `heartAttack` table where the value in the `cholestoralinmg` column is greater than 197.","cost":0.0005985,"response_parsed":"SELECT *\nFROM heartAttack\nWHERE cholestoralinmg > 197;","time":4.7634570599}} {"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":"\n\n```sql\nSELECT * FROM heartAttack WHERE cholestoralinmg < 211;\n```","cost":0.0006192,"response_parsed":"SELECT * FROM heartAttack WHERE cholestoralinmg < 211;","time":5.1088294983}} {"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":"\n\nTo fetch the data from the `heartAttack` table where the `thall` column is greater than 2, you can use the following SQL query:\n\n```sql\nSELECT * FROM heartAttack WHERE thall > 2;\n```","cost":0.0005805,"response_parsed":"SELECT * FROM heartAttack WHERE thall > 2;","time":4.6662881374}} {"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":"\n\nTo determine how many different `menopausalstatus` values are present in the `breastCancer` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT menopausalstatus) FROM breastCancer;\n```\n\nThis query will return the number of unique `menopausalstatus` values in your table.","cost":0.0004986,"response_parsed":"SELECT COUNT(DISTINCT menopausalstatus) FROM breastCancer;","time":4.2655022144}} {"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":"\n\nTo determine how many different types of hormonal therapies are present in the `breastCancer` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT hormonaltherapy) \nFROM breastCancer;\n```","cost":0.0004914,"response_parsed":"SELECT COUNT(DISTINCT hormonaltherapy) \nFROM breastCancer;","time":3.7294645309}} {"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":"\n\nTo determine how many different statuses are in the `breastCancer` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT \"status\") FROM \"breastCancer\";\n```","cost":0.0005103,"response_parsed":"SELECT COUNT(DISTINCT \"status\") FROM \"breastCancer\";","time":3.7163496017}} {"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":"\n\nTo find the maximum value of the `progesteronereceptor` column in the `breastCancer` table, you can use the SQL `MAX()` function. Here is the SQL code:\n\n```sql\nSELECT MAX(progesteronereceptor) FROM breastCancer;\n```","cost":0.0004311,"response_parsed":"SELECT MAX(progesteronereceptor) FROM breastCancer;","time":2.9542138577}} {"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":"\n\nTo find the minimum value of the `progesteronereceptor` column in the `breastCancer` table, you can use the SQL `MIN()` function. Here is the SQL code:\n\n```sql\nSELECT MIN(progesteronereceptor) FROM breastCancer;\n```","cost":0.0004788,"response_parsed":"SELECT MIN(progesteronereceptor) FROM breastCancer;","time":3.3689153194}} {"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":"\n\nTo find the average value of the `progesteronereceptor` column in the `breastCancer` table, you can use the SQL `AVG()` function. Here is the SQL code:\n\n```sql\nSELECT AVG(progesteronereceptor) AS average_progesterone_receptor\nFROM breastCancer;\n```\n\nThis query will calculate and return the average value of the `progesteronereceptor` column in your `breastCancer` table.","cost":0.0005715,"response_parsed":"SELECT AVG(progesteronereceptor) AS average_progesterone_receptor\nFROM breastCancer;","time":4.4107129574}} {"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":"\n\nTo find the maximum value of the `estrogenreceptor` column in the `breastCancer` table, you can use the SQL `MAX()` function. Here's the SQL code:\n\n```sql\nSELECT MAX(estrogenreceptor) AS maximum_estrogenreceptor\nFROM breastCancer;\n```\n\nThis query will return the highest value in the `estrogenreceptor` column of your `breastCancer` table.","cost":0.0005211,"response_parsed":"SELECT MAX(estrogenreceptor) AS maximum_estrogenreceptor\nFROM breastCancer;","time":4.5185072422}} {"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":"\n\nTo find the minimum value of the `estrogenreceptor` column in the `breastCancer` table, you can use the SQL `MIN()` function. Here is the SQL code:\n\n```sql\nSELECT MIN(estrogenreceptor) FROM breastCancer;\n```","cost":0.0005616,"response_parsed":"SELECT MIN(estrogenreceptor) FROM breastCancer;","time":4.7029094696}} {"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":"\n\nTo find the average value of the `estrogenreceptor` column in the `breastCancer` table, you can use the SQL `AVG()` function. Here's the SQL code:\n\n```sql\nSELECT AVG(estrogenreceptor) FROM breastCancer;\n```","cost":0.0004833,"response_parsed":"SELECT AVG(estrogenreceptor) FROM breastCancer;","time":3.4803304672}} {"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":"\n\nTo determine how many different sexes are present in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT \"sex\") FROM \"heartAttack\";\n```\n\nThis query will count the number of unique values in the `sex` column of the `heartAttack` table.","cost":0.0004914,"response_parsed":"SELECT COUNT(DISTINCT \"sex\") FROM \"heartAttack\";","time":4.1231648922}} {"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":"\n\nTo determine how many different `chestpaintype` values exist in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT chestpaintype) FROM heartAttack;\n```\n\nThis query will return the number of unique `chestpaintype` values in your `heartAttack` table.","cost":0.0005292,"response_parsed":"SELECT COUNT(DISTINCT chestpaintype) FROM heartAttack;","time":4.1130576134}} {"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":"\n\nTo determine how many different `fastingbloodsugar` values exist in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT fastingbloodsugar) FROM heartAttack;\n```\n\nThis query will return the number of unique values in the `fastingbloodsugar` column of the `heartAttack` table.","cost":0.0005571,"response_parsed":"SELECT COUNT(DISTINCT fastingbloodsugar) FROM heartAttack;","time":5.221988678}} {"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":"\n\nTo determine how many different `restingelectrocardiographicrresults` are in the `heartAttack` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT restingelectrocardiographicrresults) \nFROM heartAttack;\n```\n\nThis query will return the number of unique values in the `restingelectrocardiographicrresults` column of the `heartAttack` table.","cost":0.0006525,"response_parsed":"SELECT COUNT(DISTINCT restingelectrocardiographicrresults) \nFROM heartAttack;","time":5.3748517036}} {"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":"\n\nTo determine how many different outputs are in the `heartAttack` table, you can use the `COUNT(DISTINCT column_name)` function in SQL, which counts the number of unique values in a specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT \"output\") FROM \"heartAttack\";\n```","cost":0.000477,"response_parsed":"SELECT COUNT(DISTINCT \"output\") FROM \"heartAttack\";","time":4.2658138275}} {"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":"\n\nTo find the maximum number of major vessels in the `heartAttack` table, you can use the SQL `MAX()` function. Here's the SQL code:\n\n```sql\nSELECT MAX(\"numberofmajorvvessels\") FROM \"heartAttack\";\n```\n\nThis query will return the maximum value in the `numberofmajorvvessels` column of the `heartAttack` table.","cost":0.0005436,"response_parsed":"SELECT MAX(\"numberofmajorvvessels\") FROM \"heartAttack\";","time":4.5074093342}} {"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":"\n\nTo find the minimum number of major vessels in the `heartAttack` table, you can use the SQL `MIN()` function. Here's how you can do it:\n\n```sql\nSELECT MIN(\"numberofmajorvvessels\") FROM heartAttack;\n```\n\nThis query will return the smallest value in the `numberofmajorvvessels` column of your `heartAttack` table.","cost":0.0005472,"response_parsed":"SELECT MIN(\"numberofmajorvvessels\") FROM heartAttack;","time":4.7221159935}} {"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":"\n\nTo find the average number of major vessels for the table `heartAttack`, you can use the SQL `AVG()` function. Here's the SQL code:\n\n```sql\nSELECT AVG(numberofmajorvvessels) FROM heartAttack;\n```","cost":0.0004986,"response_parsed":"SELECT AVG(numberofmajorvvessels) FROM heartAttack;","time":3.9185655117}} {"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":"\n\nTo find the maximum value of the `thall` column in the `heartAttack` table, you can use the SQL `MAX()` function. Here is the SQL code:\n\n```sql\nSELECT MAX(thall) FROM heartAttack;\n```","cost":0.0005391,"response_parsed":"SELECT MAX(thall) FROM heartAttack;","time":4.4078090191}} {"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":"\n\nTo find the minimum value of the `thall` column in the `heartAttack` table, you can use the SQL `MIN()` function. Here is the SQL code:\n\n```sql\nSELECT MIN(thall) FROM heartAttack;\n```","cost":0.0004635,"response_parsed":"SELECT MIN(thall) FROM heartAttack;","time":3.7397060394}} {"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":"\n\nTo find the average value of the `thall` column in the `heartAttack` table, you can use the SQL `AVG()` function. Here is the SQL code:\n\n```sql\nSELECT AVG(thall) AS average_thall FROM heartAttack;\n```\n\nThis query will calculate and return the average value of the `thall` column in your `heartAttack` table.","cost":0.0004752,"response_parsed":"SELECT AVG(thall) AS average_thall FROM heartAttack;","time":4.0101630688}} {"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":"\n\nTo fetch the different `nativecountry` values from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT nativecountry FROM adultCensus;\n```\n\nThis query will return all unique values in the `nativecountry` column of the `adultCensus` table.","cost":0.0004869,"response_parsed":"SELECT DISTINCT nativecountry FROM adultCensus;","time":4.1437966824}} {"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":"\n\nTo show the different sexes in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT sex FROM adultCensus;\n```\n\nThis query will return all unique values in the `sex` column of the `adultCensus` table.","cost":0.0005472,"response_parsed":"SELECT DISTINCT sex FROM adultCensus;","time":5.1239171028}} {"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":"\n\nTo show the different races in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT race FROM adultCensus;\n```\n\nThis query will return all unique values in the `race` column of the `adultCensus` table.","cost":0.000414,"response_parsed":"SELECT DISTINCT race FROM adultCensus;","time":3.3806090355}} {"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":"\n\nTo show the different `workclass` values in the `adultCensus` table, you can use the `DISTINCT` keyword in SQL to fetch unique values from the `workclass` column. Here is the SQL code:\n\n```sql\nSELECT DISTINCT workclass FROM adultCensus;\n```","cost":0.0004878,"response_parsed":"SELECT DISTINCT workclass FROM adultCensus;","time":4.2580120564}} {"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":"\n\nTo show the different income values in the `adultCensus` table, you can use the `SELECT DISTINCT` statement to retrieve unique values from the `income` column.\n\n```sql\nSELECT DISTINCT income FROM adultCensus;\n```","cost":0.0004716,"response_parsed":"SELECT DISTINCT income FROM adultCensus;","time":3.7522046566}} {"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":"\n\nTo fetch the different types of odors from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT odor FROM mushrooms;\n```\n\nThis query will return all unique values in the `odor` column of the `mushrooms` table.","cost":0.0004473,"response_parsed":"SELECT DISTINCT odor FROM mushrooms;","time":3.7636561394}} {"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":"\n\nTo show the different gillspacing in the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT gillspacing FROM mushrooms;\n```\n\nThis query will return all unique values in the `gillspacing` column of the `mushrooms` table.","cost":0.0004896,"response_parsed":"SELECT DISTINCT gillspacing FROM mushrooms;","time":4.1536297798}} {"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":"\n\nTo show the different `capshape` values in the `mushrooms` table, you can use the `SELECT DISTINCT` statement to retrieve unique values from the `capshape` column.\n\n```sql\nSELECT DISTINCT capshape FROM mushrooms;\n```","cost":0.000468,"response_parsed":"SELECT DISTINCT capshape FROM mushrooms;","time":3.8741278648}} {"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":"\n\nTo fetch the different gill sizes from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT gillsize FROM mushrooms;\n```\n\nThis query will return all unique values in the `gillsize` column of the `mushrooms` table.","cost":0.0005184,"response_parsed":"SELECT DISTINCT gillsize FROM mushrooms;","time":4.641522646}} {"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":"\n\nTo show the different `capsurface` values in the `mushrooms` table, you can use the `DISTINCT` keyword in SQL to retrieve unique values. Here is the SQL code:\n\n```sql\nSELECT DISTINCT capsurface FROM mushrooms;\n```","cost":0.0004473,"response_parsed":"SELECT DISTINCT capsurface FROM mushrooms;","time":3.8818171024}} {"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":"\n\nTo count the number of rows for each education level in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n education,\n COUNT(*) AS row_count\nFROM \n adultCensus\nGROUP BY \n education\nORDER BY \n row_count DESC;\n```\n\nThis query:\n1. Selects the `education` column and counts the number of rows for each education level.\n2. Groups the results by the `education` column.\n3. Orders the results by the count in descending order (optional, but useful for readability).\n\nYou can remove the `ORDER BY` clause if you don't need the results sorted by count.","cost":0.0005247,"response_parsed":"SELECT \n education,\n COUNT(*) AS row_count\nFROM \n adultCensus\nGROUP BY \n education\nORDER BY \n row_count DESC;","time":5.6921160221}} {"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":"\n\nTo count the number of rows for each `maritalstatus` in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT maritalstatus, COUNT(*) AS count\nFROM adultCensus\nGROUP BY maritalstatus;\n```\n\nThis query will:\n1. Select the `maritalstatus` column\n2. Count the number of rows for each `maritalstatus` using `COUNT(*)`\n3. Group the results by the `maritalstatus` column\n4. Return the results with the count for each marital status","cost":0.0004779,"response_parsed":"SELECT maritalstatus, COUNT(*) AS count\nFROM adultCensus\nGROUP BY maritalstatus;","time":3.8422560692}} {"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":"\n\nTo count the number of rows in the `adultCensus` table for each race, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `race` column.\n\n```sql\nSELECT race, COUNT(*) AS count_of_rows\nFROM adultCensus\nGROUP BY race;\n```","cost":0.0004599,"response_parsed":"SELECT race, COUNT(*) AS count_of_rows\nFROM adultCensus\nGROUP BY race;","time":4.197309494}} {"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":"\n\nTo count the number of rows for each `nativecountry` in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT nativecountry, COUNT(*) AS count\nFROM adultCensus\nGROUP BY nativecountry\nORDER BY count DESC;\n```\n\nThis query will:\n1. Group the rows in the `adultCensus` table by the `nativecountry` column.\n2. Count the number of rows for each `nativecountry`.\n3. Return the results sorted by the count in descending order (from highest to lowest).","cost":0.000612,"response_parsed":"SELECT nativecountry, COUNT(*) AS count\nFROM adultCensus\nGROUP BY nativecountry\nORDER BY count DESC;","time":6.1953382492}} {"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":"\n\nTo count the number of rows for each `workclass` in the `adultCensus` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT workclass, COUNT(*) AS count_of_rows\nFROM adultCensus\nGROUP BY workclass;\n```\n\nThis query will:\n1. Group all rows in the `adultCensus` table by the `workclass` column.\n2. Count the number of rows in each group using `COUNT(*)`.\n3. Return the `workclass` and the corresponding count of rows for each group.","cost":0.0006165,"response_parsed":"SELECT workclass, COUNT(*) AS count_of_rows\nFROM adultCensus\nGROUP BY workclass;","time":5.2635672092}} {"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":"\n\nTo find the minimum `hoursperweek` for each `race` in the `adultCensus` table, you can use the SQL `MIN` function combined with a `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT race, MIN(hoursperweek) \nFROM adultCensus \nGROUP BY race;\n```","cost":0.0005508,"response_parsed":"SELECT race, MIN(hoursperweek) \nFROM adultCensus \nGROUP BY race;","time":5.1329374313}} {"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":"\n\nTo find the maximum `hoursperweek` for each `race` in the `adultCensus` table, you can use the SQL `MAX` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT race, MAX(hoursperweek) AS max_hoursperweek\nFROM adultCensus\nGROUP BY race;\n```\n\nThis query will return the maximum `hoursperweek` value for each distinct `race` in the `adultCensus` table.","cost":0.0004851,"response_parsed":"SELECT race, MAX(hoursperweek) AS max_hoursperweek\nFROM adultCensus\nGROUP BY race;","time":4.2961952686}} {"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":"\n\nTo find the average `hoursperweek` for each `race` in the `adultCensus` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT race, AVG(hoursperweek) AS average_hours_per_week\nFROM adultCensus\nGROUP BY race;\n```\n\nThis query will return the average `hoursperweek` for each distinct `race` in the `adultCensus` table.","cost":0.0005589,"response_parsed":"SELECT race, AVG(hoursperweek) AS average_hours_per_week\nFROM adultCensus\nGROUP BY race;","time":4.4843456745}} {"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":"\n\nTo answer the question, we need to calculate the sum of `hoursperweek` for each `race` in the `adultCensus` table. Here's the SQL code to achieve this:\n\n```sql\nSELECT race, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY race;\n```\n\nThis query:\n1. Groups the rows in the `adultCensus` table by the `race` column.\n2. Calculates the sum of `hoursperweek` for each group using the `SUM()` function.\n3. Returns the `race` and the corresponding sum of `hoursperweek` for each race.","cost":0.0006453,"response_parsed":"SELECT race, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY race;","time":5.7076873779}} {"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":"\n\nTo find the minimum `hoursperweek` for each `education` in the `adultCensus` table, you can use the SQL `MIN()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT education, MIN(hoursperweek) AS min_hoursperweek\nFROM adultCensus\nGROUP BY education;\n```\n\nThis query will return the minimum `hoursperweek` value for each distinct `education` in the `adultCensus` table.","cost":0.0006039,"response_parsed":"SELECT education, MIN(hoursperweek) AS min_hoursperweek\nFROM adultCensus\nGROUP BY education;","time":4.8441126347}} {"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":"\n\nTo find the maximum `hoursperweek` for each `education` in the `adultCensus` table, you can use the SQL `MAX()` function combined with the `GROUP BY` clause. Here's how you can do it:\n\n```sql\nSELECT education, MAX(hoursperweek) AS max_hours\nFROM adultCensus\nGROUP BY education;\n```\n\nThis query will return the maximum `hoursperweek` for each distinct value in the `education` column.","cost":0.0004914,"response_parsed":"SELECT education, MAX(hoursperweek) AS max_hours\nFROM adultCensus\nGROUP BY education;","time":4.3487927914}} {"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":"\n\nTo find the average `hoursperweek` for each `education` in the `adultCensus` table, you can use the SQL `AVG()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n education,\n AVG(hoursperweek) AS avg_hoursperweek\nFROM \n adultCensus\nGROUP BY \n education;\n```\n\nThis query will return the average `hoursperweek` for each distinct value in the `education` column.","cost":0.000522,"response_parsed":"SELECT \n education,\n AVG(hoursperweek) AS avg_hoursperweek\nFROM \n adultCensus\nGROUP BY \n education;","time":4.4148771763}} {"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":"\n\nTo find the sum of `hoursperweek` for each education level in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT \n education,\n SUM(hoursperweek) AS total_hours\nFROM \n adultCensus\nGROUP BY \n education;\n```\n\nThis query:\n1. Selects the `education` column and calculates the sum of `hoursperweek` for each education level.\n2. Groups the results by the `education` column to ensure the sum is calculated for each unique education value.\n3. Uses the `AS` keyword to alias the sum column as `total_hours` for better readability.","cost":0.0005463,"response_parsed":"SELECT \n education,\n SUM(hoursperweek) AS total_hours\nFROM \n adultCensus\nGROUP BY \n education;","time":4.495954752}} {"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":"\n\nTo count the number of rows for each `gillcolor` in the `mushrooms` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT gillcolor, COUNT(*) AS count_of_rows\nFROM mushrooms\nGROUP BY gillcolor;\n```\n\nThis query will:\n1. Group all rows in the `mushrooms` table by the `gillcolor` column.\n2. Count the number of rows in each group.\n3. Return the `gillcolor` and the corresponding count of rows for each group.","cost":0.000522,"response_parsed":"SELECT gillcolor, COUNT(*) AS count_of_rows\nFROM mushrooms\nGROUP BY gillcolor;","time":4.3225800991}} {"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":"\n\nTo count the number of rows for each value of \"bruises\" in the `mushrooms` table, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT bruises, COUNT(*) as row_count\nFROM mushrooms\nGROUP BY bruises;\n```\n\nThis query will:\n1. Group all rows in the `mushrooms` table by the `bruises` column.\n2. Count the number of rows in each group.\n3. Return the `bruises` value along with the corresponding count for each group.","cost":0.0005787,"response_parsed":"SELECT bruises, COUNT(*) as row_count\nFROM mushrooms\nGROUP BY bruises;","time":5.2000238895}} {"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":"\n\nTo count the number of rows for each `gillsize` in the `mushrooms` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT gillsize, COUNT(*) as row_count\nFROM mushrooms\nGROUP BY gillsize;\n```\n\nThis query will:\n1. Group all rows in the `mushrooms` table by the `gillsize` column.\n2. Count the number of rows in each group.\n3. Return the `gillsize` and the corresponding count of rows for each group.","cost":0.000567,"response_parsed":"SELECT gillsize, COUNT(*) as row_count\nFROM mushrooms\nGROUP BY gillsize;","time":4.8087558746}} {"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":"\n\nTo count the number of rows in the `mushrooms` table for each class, you can use the SQL `COUNT(*)` function combined with the `GROUP BY` clause to group the results by the `class` column.\n\n```sql\nSELECT \"class\", COUNT(*) \nFROM mushrooms \nGROUP BY \"class\";\n```","cost":0.0006309,"response_parsed":"SELECT \"class\", COUNT(*) \nFROM mushrooms \nGROUP BY \"class\";","time":6.5558104515}} {"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":"\n\nTo count the number of rows for each `capsurface` in the `mushrooms` table, you can use the SQL `COUNT()` function combined with the `GROUP BY` clause. Here's the SQL code:\n\n```sql\nSELECT \n capsurface,\n COUNT(*) AS row_count\nFROM \n mushrooms\nGROUP BY \n capsurface\nORDER BY \n capsurface;\n```\n\nThis query will:\n1. Group all rows in the `mushrooms` table by the `capsurface` column.\n2. Count the number of rows for each `capsurface` group.\n3. Return the results sorted alphabetically by `capsurface`.","cost":0.0006282,"response_parsed":"SELECT \n capsurface,\n COUNT(*) AS row_count\nFROM \n mushrooms\nGROUP BY \n capsurface\nORDER BY \n capsurface;","time":5.7114953995}} {"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":"\n\nTo find all races in the `adultCensus` table that have at least 10 records, you can use the following SQL query:\n\n```sql\nSELECT race, COUNT(*) as record_count\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) >= 10;\n```\n\nThis query:\n1. Selects the `race` column and counts the number of records for each race.\n2. Groups the results by the `race` column.\n3. Filters the results to include only those races with 10 or more records.","cost":0.0005724,"response_parsed":"SELECT race, COUNT(*) as record_count\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) >= 10;","time":5.2083802223}} {"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":"\n\nTo find all races in the `adultCensus` table that have at most 10 records, you can use the following SQL query:\n\n```sql\nSELECT race, COUNT(*) AS record_count\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) <= 10;\n```\n\nThis query:\n1. Selects the `race` column and counts the number of records for each race.\n2. Groups the results by the `race` column.\n3. Filters the results to include only those races with 10 or fewer records using the `HAVING` clause.","cost":0.0006048,"response_parsed":"SELECT race, COUNT(*) AS record_count\nFROM adultCensus\nGROUP BY race\nHAVING COUNT(*) <= 10;","time":5.1143102646}} {"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":"\n\nTo find all relationships in the `adultCensus` table that have at least 4 records, you can use the following SQL query:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) >= 4;\n```\n\nThis query:\n1. Groups the rows in the `adultCensus` table by the `relationship` column.\n2. Counts the number of records for each group using `COUNT(*)`.\n3. Filters the results to include only those groups with at least 4 records using `HAVING COUNT(*) >= 4`.\n\nThe result will be a list of all relationships that appear at least 4 times in the table.","cost":0.000558,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) >= 4;","time":5.558576107}} {"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":"\n\nTo find all relationships that have at most 4 records in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) <= 4;\n```\n\nThis query:\n1. Groups the rows in the `adultCensus` table by the `relationship` column.\n2. Counts the number of records for each unique relationship using `COUNT(*)`.\n3. Filters the results to include only those relationships that have 4 or fewer records using `HAVING COUNT(*) <= 4`.\n\nThe result will be a list of relationships that appear 4 or fewer times in the table.","cost":0.0006012,"response_parsed":"SELECT relationship\nFROM adultCensus\nGROUP BY relationship\nHAVING COUNT(*) <= 4;","time":5.5479147434}} {"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":"\n\nTo find all the `maritalstatus` values in the `adultCensus` table that have at least 5 records, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) >= 5;\n```\n\nThis query:\n1. Groups the records in the `adultCensus` table by the `maritalstatus` column.\n2. Counts the number of records in each group using `COUNT(*)`.\n3. Filters the results to include only those groups with at least 5 records using `HAVING COUNT(*) >= 5`.\n\nThe result will be a list of `maritalstatus` values that appear in at least 5 records.","cost":0.0006174,"response_parsed":"SELECT maritalstatus\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) >= 5;","time":5.1081118584}} {"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":"\n\nTo find all the `maritalstatus` values in the `adultCensus` table that have at most 5 records, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus, COUNT(*) as record_count\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) <= 5;\n```\n\nThis query:\n1. Groups the records in the `adultCensus` table by the `maritalstatus` column.\n2. Counts the number of records for each `maritalstatus`.\n3. Filters the results to include only those `maritalstatus` values that have 5 or fewer records.","cost":0.0005427,"response_parsed":"SELECT maritalstatus, COUNT(*) as record_count\nFROM adultCensus\nGROUP BY maritalstatus\nHAVING COUNT(*) <= 5;","time":4.8546526432}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filters the results to include only those countries where the average `hoursperweek` is at least 42.72.\n\nHere is the SQL code:\n\n```sql\nSELECT nativecountry, AVG(hoursperweek) AS avg_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) >= 42.72;\n```\n\n### Explanation:\n1. **`SELECT nativecountry, AVG(hoursperweek) AS avg_hours`**: This selects the `nativecountry` column and calculates the average of `hoursperweek` for each country, aliasing the result as `avg_hours`.\n2. **`FROM adultCensus`**: Specifies the table to query.\n3. **`GROUP BY nativecountry`**: Groups the results by `nativecountry` to calculate the average `hoursperweek` for each country.\n4. **`HAVING AVG(hoursperweek) >= 42.72`**: Filters the results to include only those countries where the average `hoursperweek` is at least 42.72.","cost":0.0007137,"response_parsed":"SELECT nativecountry, AVG(hoursperweek) AS avg_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) >= 42.72;","time":6.1043317318}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filters the results to include only those countries where the average `hoursperweek` is at most 42.72.\n\nHere is the SQL code:\n\n```sql\nSELECT nativecountry, AVG(hoursperweek) AS average_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) <= 42.72;\n```\n\n### Explanation:\n1. **`SELECT nativecountry, AVG(hoursperweek) AS average_hours`**: This selects the `nativecountry` column and calculates the average of `hoursperweek` for each group of `nativecountry`. The `AS average_hours` renames the calculated column to `average_hours` for clarity.\n2. **`FROM adultCensus`**: Specifies the table to query.\n3. **`GROUP BY nativecountry`**: Groups the rows by the `nativecountry` column so that the average can be calculated for each country.\n4. **`HAVING AVG(hoursperweek) <= 42.72`**: Filters the results to include only those groups where the average `hoursperweek` is less than or equal to 42.72.\n\nThis query will return a list of `nativecountry` values along with their corresponding average `hoursperweek`, but only for those countries where the average is at most 42.72.","cost":0.000783,"response_parsed":"SELECT nativecountry, AVG(hoursperweek) AS average_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING AVG(hoursperweek) <= 42.72;","time":7.7681899071}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filter the results to include only those countries where the sum of `hoursperweek` is at least 270.33.\n\nHere is the SQL code:\n\n```sql\nSELECT nativecountry, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING SUM(hoursperweek) >= 270.33;\n```\n\n### Explanation:\n1. **`SELECT nativecountry, SUM(hoursperweek) AS total_hours`**: This selects the `nativecountry` column and calculates the sum of `hoursperweek` for each country, aliasing the sum as `total_hours` for clarity.\n2. **`FROM adultCensus`**: Specifies the table to query.\n3. **`GROUP BY nativecountry`**: Groups the results by the `nativecountry` column, allowing us to aggregate the `hoursperweek` values for each country.\n4. **`HAVING SUM(hoursperweek) >= 270.33`**: Filters the grouped results to include only those countries where the sum of `hoursperweek` is at least 270.33.\n\nThis query will return a list of `nativecountry` values along with their corresponding total `hoursperweek`, but only for those countries where the total meets or exceeds 270.33.","cost":0.0007272,"response_parsed":"SELECT nativecountry, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING SUM(hoursperweek) >= 270.33;","time":6.8961441517}} {"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":"\n\nTo answer the question, we need to write an SQL query that will sum the `hoursperweek` for each `nativecountry` in the `adultCensus` table and then filter the results to include only those `nativecountry` values where the total `hoursperweek` is at most 270.33.\n\nHere is the SQL code:\n\n```sql\nSELECT nativecountry, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING SUM(hoursperweek) <= 270.33;\n```\n\n### Explanation:\n1. **SELECT nativecountry, SUM(hoursperweek) AS total_hours**: This selects the `nativecountry` column and calculates the sum of `hoursperweek` for each group of `nativecountry`. The `AS total_hours` renames the sum column to `total_hours` for clarity.\n2. **FROM adultCensus**: Specifies the table to query.\n3. **GROUP BY nativecountry**: Groups the rows by the `nativecountry` column so that the sum can be calculated for each country.\n4. **HAVING SUM(hoursperweek) <= 270.33**: Filters the results to include only those groups where the sum of `hoursperweek` is at most 270.33.\n\nThis query will return a list of `nativecountry` values along with their corresponding total `hoursperweek`, but only for those countries where the total is less than or equal to 270.33.","cost":0.0008622,"response_parsed":"SELECT nativecountry, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY nativecountry\nHAVING SUM(hoursperweek) <= 270.33;","time":7.538870573}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `relationship` in the `adultCensus` table and filters the results to include only those relationships where the average `hoursperweek` is at least 36.84.\n\nHere is the SQL code:\n\n```sql\nSELECT relationship, AVG(hoursperweek) AS avg_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) >= 36.84;\n```\n\n### Explanation:\n1. **`SELECT relationship, AVG(hoursperweek) AS avg_hours`**: This selects the `relationship` column and calculates the average of `hoursperweek` for each relationship, aliasing the result as `avg_hours`.\n2. **`FROM adultCensus`**: Specifies the table to query.\n3. **`GROUP BY relationship`**: Groups the results by the `relationship` column.\n4. **`HAVING AVG(hoursperweek) >= 36.84`**: Filters the results to include only those groups where the average `hoursperweek` is at least 36.84.","cost":0.0007047,"response_parsed":"SELECT relationship, AVG(hoursperweek) AS avg_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) >= 36.84;","time":6.1492524147}} {"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":"\n\nTo answer the question, we need to write an SQL query that calculates the average `hoursperweek` for each `relationship` in the `adultCensus` table and then filters the results to include only those relationships where the average `hoursperweek` is at most 36.84.\n\nHere is the SQL code:\n\n```sql\nSELECT relationship, AVG(hoursperweek) AS average_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) <= 36.84;\n```\n\n### Explanation:\n1. **`SELECT relationship, AVG(hoursperweek) AS average_hours`**:\n - This selects the `relationship` column and calculates the average of `hoursperweek` for each group of `relationship`. The `AS average_hours` renames the calculated column to `average_hours` for clarity.\n\n2. **`FROM adultCensus`**:\n - This specifies the table from which to retrieve the data, which is `adultCensus`.\n\n3. **`GROUP BY relationship`**:\n - This groups the rows by the `relationship` column, allowing us to calculate the average `hoursperweek` for each unique `relationship`.\n\n4. **`HAVING AVG(hoursperweek) <= 36.84`**:\n - This filters the results to include only those groups where the average `hoursperweek` is less than or equal to 36.84.\n\nThis query will return a list of relationships along with their average `hoursperweek`, but only for those relationships where the average `hoursperweek` is at most 36.84.","cost":0.0008262,"response_parsed":"SELECT relationship, AVG(hoursperweek) AS average_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING AVG(hoursperweek) <= 36.84;","time":8.1209032536}} {"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":"\n\nTo fetch the relationships where the summation of `hoursperweek` is at least 162.2 from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT relationship, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) >= 162.2;\n```\n\nThis query:\n1. Selects the `relationship` column and calculates the sum of `hoursperweek` for each relationship.\n2. Groups the results by the `relationship` column.\n3. Filters the results to include only those relationships where the total `hoursperweek` is at least 162.2.","cost":0.0006147,"response_parsed":"SELECT relationship, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) >= 162.2;","time":5.0322740078}} {"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":"\n\nTo translate the question into SQL code, we need to fetch the relationship from the `adultCensus` table where the summation of `hoursperweek` is at most 162.2.\n\n```sql\nSELECT relationship, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) <= 162.2;\n```\n\nThis SQL query will:\n1. Select the `relationship` column and calculate the sum of `hoursperweek` for each relationship.\n2. Group the results by the `relationship` column.\n3. Filter the results to include only those groups where the sum of `hoursperweek` is at most 162.2.","cost":0.0006471,"response_parsed":"SELECT relationship, SUM(hoursperweek) AS total_hours\nFROM adultCensus\nGROUP BY relationship\nHAVING SUM(hoursperweek) <= 162.2;","time":5.8589029312}} {"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":"\n\nTo find all the `capshape` values that have at least 5 records in the `mushrooms` table, you can use the SQL `COUNT()` function along with the `GROUP BY` clause to group the records by `capshape` and filter the results using the `HAVING` clause.\n\nHere is the SQL code:\n\n```sql\nSELECT capshape, COUNT(*) AS count\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) >= 5;\n```\n\nThis query will:\n1. Group the records in the `mushrooms` table by the `capshape` column.\n2. Count the number of records for each `capshape`.\n3. Return only those `capshape` values that have at least 5 records.\n\nThe result will include the `capshape` values and their corresponding counts.","cost":0.0006543,"response_parsed":"SELECT capshape, COUNT(*) AS count\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) >= 5;","time":5.8149192333}} {"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":"\n\nTo find all the `capshape` values that have at most 5 records in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capshape, COUNT(*) as count\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) <= 5;\n```\n\nThis query will:\n1. Group the rows in the `mushrooms` table by the `capshape` column.\n2. Count the number of records for each `capshape`.\n3. Filter the results to include only those `capshape` values that have 5 or fewer records.\n\nThe result will show the `capshape` values and their corresponding counts.","cost":0.0005409,"response_parsed":"SELECT capshape, COUNT(*) as count\nFROM mushrooms\nGROUP BY capshape\nHAVING COUNT(*) <= 5;","time":4.530362606}} {"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":"\n\nTo find all the `capsurface` values in the `mushrooms` table that have at least 6 records, you can use the following SQL query:\n\n```sql\nSELECT capsurface, COUNT(*) as count\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) >= 6;\n```\n\nThis query:\n1. Groups the `mushrooms` table by the `capsurface` column.\n2. Counts the number of records for each `capsurface` value.\n3. Filters the results to include only those `capsurface` values that have at least 6 records.\n\nThe result will show the `capsurface` values and their corresponding counts.","cost":0.0005004,"response_parsed":"SELECT capsurface, COUNT(*) as count\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) >= 6;","time":4.0694315434}} {"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":"\n\nTo find all the `capsurface` values that have at most 6 records in the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface, COUNT(*) as count\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) <= 6;\n```\n\nThis query:\n1. Groups the rows in the `mushrooms` table by the `capsurface` column.\n2. Counts the number of records for each `capsurface` value.\n3. Filters the results to include only those `capsurface` values that have 6 or fewer records.\n\nThe result will show the `capsurface` values and their corresponding counts.","cost":0.0005436,"response_parsed":"SELECT capsurface, COUNT(*) as count\nFROM mushrooms\nGROUP BY capsurface\nHAVING COUNT(*) <= 6;","time":4.7383816242}} {"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":"\n\nTo find all the classes in the `mushrooms` table that have at least 10 records, you can use the SQL `COUNT()` function along with the `GROUP BY` and `HAVING` clauses. Here's the SQL code:\n\n```sql\nSELECT class, COUNT(*) as record_count\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) >= 10;\n```\n\nThis query will:\n1. Group the records in the `mushrooms` table by the `class` column.\n2. Count the number of records in each group using `COUNT(*)`.\n3. Filter the results to include only those classes that have at least 10 records, using the `HAVING` clause.","cost":0.0005625,"response_parsed":"SELECT class, COUNT(*) as record_count\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) >= 10;","time":5.4447619915}} {"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":"\n\nTo find all the classes in the `mushrooms` table that have at most 10 records, you can use the following SQL query:\n\n```sql\nSELECT class, COUNT(*) as record_count\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) <= 10;\n```\n\nThis query:\n1. Groups the rows in the `mushrooms` table by the `class` column.\n2. Counts the number of records for each class using `COUNT(*)`.\n3. Filters the results to include only those classes with 10 or fewer records using the `HAVING` clause.","cost":0.0005625,"response_parsed":"SELECT class, COUNT(*) as record_count\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(*) <= 10;","time":5.5308532715}} {"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":"\n\nTo fetch all the unique combinations of `workclass` and `maritalstatus` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT workclass, maritalstatus FROM adultCensus;\n```\n\nThis query will return all unique pairs of `workclass` and `maritalstatus` present in the `adultCensus` table.","cost":0.0004662,"response_parsed":"SELECT DISTINCT workclass, maritalstatus FROM adultCensus;","time":3.7092268467}} {"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":"\n\nTo fetch the `workclass` along with all corresponding `race` values from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT workclass, race FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, showing the `workclass` and `race` for each entry.","cost":0.0005697,"response_parsed":"SELECT workclass, race FROM adultCensus;","time":5.2432289124}} {"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":"\n\nTo fetch the `workclass` along with all the `sex` entries from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT workclass, sex FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, showing the `workclass` and `sex` columns for each entry.","cost":0.0005697,"response_parsed":"SELECT workclass, sex FROM adultCensus;","time":5.0638270378}} {"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":"\n\nTo fetch the `workclass` along with all corresponding `nativecountry` entries from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT workclass, nativecountry FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, showing the `workclass` and `nativecountry` for each entry.","cost":0.0005913,"response_parsed":"SELECT workclass, nativecountry FROM adultCensus;","time":5.2705726624}} {"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":"\n\nTo fetch the `workclass` along with all the `income` entries from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT workclass, income FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, displaying the `workclass` and `income` columns for each entry.","cost":0.0005607,"response_parsed":"SELECT workclass, income FROM adultCensus;","time":5.0054049492}} {"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":"\n\nTo fetch the education and marital status from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT education, maritalstatus FROM adultCensus;\n```\n\nThis query will return all unique combinations of education and marital status present in the `adultCensus` table.","cost":0.0005157,"response_parsed":"SELECT DISTINCT education, maritalstatus FROM adultCensus;","time":4.526314497}} {"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":"\n\nTo fetch the education along with all the relationships from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education, relationship FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table with the `education` and `relationship` columns.","cost":0.0004761,"response_parsed":"SELECT education, relationship FROM adultCensus;","time":3.8776028156}} {"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":"\n\nTo fetch the education and race from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education, race FROM adultCensus;\n```\n\nThis query will return all the rows in your table with the `education` and `race` columns.","cost":0.000558,"response_parsed":"SELECT education, race FROM adultCensus;","time":5.1734235287}} {"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":"\n\nTo retrieve the education and sex from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education, sex FROM adultCensus;\n```","cost":0.0004689,"response_parsed":"SELECT education, sex FROM adultCensus;","time":3.9046738148}} {"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":"\n\nTo fetch the education details along with their corresponding income information from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education, income \nFROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, showing the `education` and `income` columns for each record.","cost":0.00072,"response_parsed":"SELECT education, income \nFROM adultCensus;","time":7.8266694546}} {"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":"\n\nTo fetch the marital statuses along with all the races from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT maritalstatus, race FROM adultCensus;\n```\n\nThis query will return all unique combinations of `maritalstatus` and `race` from the `adultCensus` table.","cost":0.0005751,"response_parsed":"SELECT DISTINCT maritalstatus, race FROM adultCensus;","time":5.101583004}} {"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":"\n\nTo fetch the `maritalstatus` along with the corresponding `sex` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT maritalstatus, sex FROM adultCensus;\n```\n\nThis query will return all unique combinations of `maritalstatus` and `sex` present in the `adultCensus` table.","cost":0.0004914,"response_parsed":"SELECT DISTINCT maritalstatus, sex FROM adultCensus;","time":4.0784945488}} {"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":"\n\nTo fetch the `maritalstatus` along with the corresponding `income` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus, income FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, showing the `maritalstatus` and `income` for each entry. If you want to filter out any `NULL` values or apply additional conditions, you can modify the query accordingly.","cost":0.0006399,"response_parsed":"SELECT maritalstatus, income FROM adultCensus;","time":5.7698714733}} {"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":"\n\nTo fetch the occupation along with all the race from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT occupation, race FROM `adultCensus`;\n```\n\nThis query will return all unique combinations of `occupation` and `race` present in the `adultCensus` table.","cost":0.0005175,"response_parsed":"SELECT DISTINCT occupation, race FROM `adultCensus`;","time":4.4254488945}} {"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":"\n\nTo fetch the occupation along with the corresponding sex from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT occupation, sex \nFROM adultCensus\nWHERE occupation IS NOT NULL;\n```\n\nThis query will return all unique combinations of `occupation` and `sex` from the `adultCensus` table.","cost":0.0005733,"response_parsed":"SELECT DISTINCT occupation, sex \nFROM adultCensus\nWHERE occupation IS NOT NULL;","time":4.9615523815}} {"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":"\n\nTo fetch the occupation along with their corresponding income from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT occupation, income FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, showing the `occupation` and `income` for each entry.","cost":0.0005895,"response_parsed":"SELECT occupation, income FROM adultCensus;","time":5.4359045029}} {"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":"\n\nTo fetch the relationship with all the races in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT race, relationship\nFROM adultCensus\nGROUP BY race, relationship;\n```\n\nThis query will return all unique combinations of `race` and `relationship` in the `adultCensus` table. If you want to count the number of occurrences for each combination, you can include a `COUNT(*)` in the `SELECT` statement:\n\n```sql\nSELECT race, relationship, COUNT(*) as count\nFROM adultCensus\nGROUP BY race, relationship;\n```","cost":0.0005832,"response_parsed":"SELECT race, relationship, COUNT(*) as count\nFROM adultCensus\nGROUP BY race, relationship;","time":5.3188352585}} {"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":"\n\nTo fetch the relationship with all the sexes in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT relationship, sex, COUNT(*) \nFROM adultCensus \nGROUP BY relationship, sex \nORDER BY relationship, sex;\n```\n\nThis query will:\n1. Select the `relationship` and `sex` columns.\n2. Group the results by both `relationship` and `sex`.\n3. Count the number of occurrences for each combination of `relationship` and `sex`.\n4. Order the results by `relationship` and `sex` for better readability.","cost":0.0005337,"response_parsed":"SELECT relationship, sex, COUNT(*) \nFROM adultCensus \nGROUP BY relationship, sex \nORDER BY relationship, sex;","time":4.7585542202}} {"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":"\n\nTo fetch the relationship with all the income in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT relationship, income\nFROM adultCensus\nGROUP BY relationship, income\nORDER BY relationship, income;\n```\n\nThis query will return all unique combinations of `relationship` and `income` in the `adultCensus` table, grouped by these two columns and ordered for clarity.","cost":0.0005571,"response_parsed":"SELECT relationship, income\nFROM adultCensus\nGROUP BY relationship, income\nORDER BY relationship, income;","time":5.0048985481}} {"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":"\n\nTo retrieve the distinct races along with their corresponding sexes from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT race, sex FROM adultCensus;\n```\n\nThis query will return all unique combinations of `race` and `sex` present in the `adultCensus` table.","cost":0.0005706,"response_parsed":"SELECT DISTINCT race, sex FROM adultCensus;","time":5.117061615}} {"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":"\n\nTo fetch the race along with all the native countries in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT race, nativecountry\nFROM adultCensus;\n```\n\nThis query will return all the rows from the `adultCensus` table containing the `race` and `nativecountry` columns.","cost":0.0006804,"response_parsed":"SELECT race, nativecountry\nFROM adultCensus;","time":6.4567708969}} {"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":"\n\nTo fetch the unique combinations of `race` and `income` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT race, income FROM adultCensus;\n```\n\nThis query will return all unique pairs of `race` and `income` values present in the `adultCensus` table.","cost":0.0005283,"response_parsed":"SELECT DISTINCT race, income FROM adultCensus;","time":4.7702431679}} {"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":"\n\nTo answer the question \"What are the sex with all the income in table adultCensus?\", we need to fetch all unique combinations of `sex` and `income` from the `adultCensus` table.\n\n```sql\nSELECT DISTINCT sex, income \nFROM adultCensus\nWHERE income IS NOT NULL;\n```","cost":0.0005571,"response_parsed":"SELECT DISTINCT sex, income \nFROM adultCensus\nWHERE income IS NOT NULL;","time":4.5018312931}} {"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":"\n\nTo fetch the `nativecountry` along with the corresponding `income` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT nativecountry, income FROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table, displaying the `nativecountry` and `income` columns for each record.","cost":0.0005859,"response_parsed":"SELECT nativecountry, income FROM adultCensus;","time":5.2137579918}} {"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":"\n\nTo retrieve the classes along with their corresponding capsurface values from the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT class, capsurface FROM mushrooms;\n```\n\nThis query selects the \"class\" and \"capsurface\" columns from the mushrooms table, providing each class with its associated capsurface value.","cost":0.0006489,"response_parsed":"SELECT class, capsurface FROM mushrooms;","time":6.5369932652}} {"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":"\n\nTo fetch all the classes along with their corresponding cap colors from the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT class, capcolor FROM mushrooms;\n```\n\nThis query will return a list of all the classes and their associated cap colors in the mushrooms table.","cost":0.0006849,"response_parsed":"SELECT class, capcolor FROM mushrooms;","time":6.487944603}} {"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":"\n\nTo fetch the classes with all the bruises from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT class FROM mushrooms WHERE bruises IS NOT NULL;\n```\n\nThis query will return all unique classes in the `mushrooms` table where the `bruises` column is not null.","cost":0.0005265,"response_parsed":"SELECT DISTINCT class FROM mushrooms WHERE bruises IS NOT NULL;","time":4.4596455097}} {"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":"\n\nTo fetch all classes along with their corresponding gillattachment values from the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT class, gillattachment FROM mushrooms;\n```\n\nThis query will return all rows from the mushrooms table, showing the class and its associated gillattachment.","cost":0.0005301,"response_parsed":"SELECT class, gillattachment FROM mushrooms;","time":6.2636079788}} {"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":"\n\nTo answer the question of which classes in the mushrooms table have all possible gillspacing values, we can use the following SQL query. This query first determines the total number of distinct gillspacing values and then selects the classes that have all of these values.\n\n```sql\nSELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms);\n```","cost":0.0005625,"response_parsed":"SELECT class\nFROM mushrooms\nGROUP BY class\nHAVING COUNT(DISTINCT gillspacing) = (SELECT COUNT(DISTINCT gillspacing) FROM mushrooms);","time":4.9050068855}} {"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":"\n\nTo fetch the classes along with their corresponding gill sizes from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT class, gillsize FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table, showing the `class` and `gillsize` for each entry.","cost":0.0005652,"response_parsed":"SELECT class, gillsize FROM mushrooms;","time":4.808934927}} {"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":"\n\nTo fetch all the `capshape` along with their corresponding `capsurface` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capshape, capsurface FROM mushrooms;\n```\n\nThis query will return all the rows from the `mushrooms` table containing the `capshape` and `capsurface` columns.","cost":0.000477,"response_parsed":"SELECT capshape, capsurface FROM mushrooms;","time":3.8109066486}} {"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":"\n\nTo fetch the `capshape` along with all corresponding `capcolor` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capshape, capcolor FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table, showing the `capshape` and `capcolor` for each entry.","cost":0.0005841,"response_parsed":"SELECT capshape, capcolor FROM mushrooms;","time":5.8406405449}} {"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":"\n\nTo fetch the capshape with all the bruises in the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capshape \nFROM mushrooms \nWHERE bruises = 'true';\n```\n\nThis query will return all unique capshapes from the mushrooms table where the bruises attribute is 'true'.","cost":0.0005346,"response_parsed":"SELECT DISTINCT capshape \nFROM mushrooms \nWHERE bruises = 'true';","time":5.4894485474}} {"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":"\n\nTo fetch the `capshape` along with the corresponding `gillattachment` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capshape, gillattachment FROM mushrooms;\n```\n\nIf you want to fetch only unique combinations of `capshape` and `gillattachment`, you can use the `DISTINCT` keyword:\n\n```sql\nSELECT DISTINCT capshape, gillattachment FROM mushrooms;\n```","cost":0.0005616,"response_parsed":"SELECT DISTINCT capshape, gillattachment FROM mushrooms;","time":4.5275540352}} {"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":"\n\nTo fetch all unique combinations of `capshape` and `gillspacing` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capshape, gillspacing \nFROM mushrooms\nWHERE capshape IS NOT NULL AND gillspacing IS NOT NULL;\n```\n\nThis query will return all unique pairs of `capshape` and `gillspacing` values from the `mushrooms` table.","cost":0.0004797,"response_parsed":"SELECT DISTINCT capshape, gillspacing \nFROM mushrooms\nWHERE capshape IS NOT NULL AND gillspacing IS NOT NULL;","time":3.6774542332}} {"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":"\n\nTo fetch the `capshape` along with all the `gillsize` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capshape, gillsize FROM `mushrooms`;\n```\n\nThis query will return all the rows from the `mushrooms` table, showing the `capshape` and `gillsize` for each entry.","cost":0.0005301,"response_parsed":"SELECT capshape, gillsize FROM `mushrooms`;","time":4.2211968899}} {"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":"\n\nTo answer the question \"What are the capsurface with all the bruises in table mushrooms?\", we need to fetch the `capsurface` values from the `mushrooms` table where the `bruises` column is not null.\n\n```sql\nSELECT capsurface \nFROM mushrooms \nWHERE bruises IS NOT NULL;\n```","cost":0.0005085,"response_parsed":"SELECT capsurface \nFROM mushrooms \nWHERE bruises IS NOT NULL;","time":4.6032133102}} {"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":"\n\nTo fetch the `capsurface` along with `gillattachment` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface, gillattachment FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table with the `capsurface` and `gillattachment` columns.","cost":0.0005283,"response_parsed":"SELECT capsurface, gillattachment FROM mushrooms;","time":4.2461879253}} {"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":"\n\nTo fetch the `capsurface` along with the corresponding `gillspacing` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface, gillspacing FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table, showing the `capsurface` and `gillspacing` for each entry.","cost":0.000594,"response_parsed":"SELECT capsurface, gillspacing FROM mushrooms;","time":5.2514293194}} {"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":"\n\nTo fetch the `capsurface` and `gillsize` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface, gillsize FROM \"mushrooms\";\n```\n\nThis query will return all rows containing the `capsurface` and `gillsize` columns from the `mushrooms` table.","cost":0.0005985,"response_parsed":"SELECT capsurface, gillsize FROM \"mushrooms\";","time":5.4118051529}} {"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":"\n\nTo fetch the `capcolor` of all mushrooms that have bruises, we can use a SQL query that selects the `capcolor` from the `mushrooms` table where the `bruises` column is not null.\n\n```sql\nSELECT capcolor FROM mushrooms WHERE bruises IS NOT NULL;\n```","cost":0.0005328,"response_parsed":"SELECT capcolor FROM mushrooms WHERE bruises IS NOT NULL;","time":4.79271698}} {"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":"\n\nTo fetch the `capcolor` along with the corresponding `gillattachment` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capcolor, gillattachment FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table with the `capcolor` and `gillattachment` columns.","cost":0.0005841,"response_parsed":"SELECT capcolor, gillattachment FROM mushrooms;","time":4.8510525227}} {"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":"\n\nTo fetch the `capcolor` along with all the `gillspacing` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capcolor, gillspacing FROM mushrooms;\n```\n\nThis query will return all the rows from your `mushrooms` table with the `capcolor` and `gillspacing` columns. If you want to get unique combinations of `capcolor` and `gillspacing`, you can use the `DISTINCT` keyword:\n\n```sql\nSELECT DISTINCT capcolor, gillspacing FROM mushrooms;\n```","cost":0.0005049,"response_parsed":"SELECT DISTINCT capcolor, gillspacing FROM mushrooms;","time":4.1435539722}} {"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":"\n\nTo fetch the `capcolor` along with the corresponding `gillsize` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capcolor, gillsize FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table, showing the `capcolor` and `gillsize` for each entry.","cost":0.0006345,"response_parsed":"SELECT capcolor, gillsize FROM mushrooms;","time":5.4475107193}} {"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":"\n\nTo answer the question \"What are the bruises with all the gillattachment in table mushrooms?\", we need to fetch all records from the `mushrooms` table where the `bruises` and `gillattachment` columns are present.\n\nHere is the SQL code to achieve this:\n\n```sql\nSELECT DISTINCT bruises, gillattachment \nFROM mushrooms\nWHERE bruises IS NOT NULL AND gillattachment IS NOT NULL;\n```\n\nThis query will return all unique combinations of `bruises` and `gillattachment` from the `mushrooms` table where both values are not null.","cost":0.0006129,"response_parsed":"SELECT DISTINCT bruises, gillattachment \nFROM mushrooms\nWHERE bruises IS NOT NULL AND gillattachment IS NOT NULL;","time":8.1265046597}} {"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":"\n\nTo fetch the bruises along with their corresponding gillspacing from the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT bruises, gillspacing FROM mushrooms;\n```","cost":0.0004572,"response_parsed":"SELECT bruises, gillspacing FROM mushrooms;","time":4.9204857349}} {"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":"\n\nTo fetch the bruises along with all corresponding gill sizes from the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT bruises, gillsize FROM mushrooms;\n```\n\nThis query will return all rows from the mushrooms table where both the `bruises` and `gillsize` columns are populated with values.","cost":0.0005526,"response_parsed":"SELECT bruises, gillsize FROM mushrooms;","time":5.4265909195}} {"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":"\n\nTo fetch the `odor` and `gillattachment` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT odor, gillattachment FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table with the `odor` and `gillattachment` columns.","cost":0.0006264,"response_parsed":"SELECT odor, gillattachment FROM mushrooms;","time":6.6022377014}} {"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":"\n\nTo fetch all the unique combinations of \"odor\" and \"gillspacing\" from the \"mushrooms\" table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT odor, gillspacing FROM mushrooms;\n```\n\nThis query will return all unique pairs of `odor` and `gillspacing` present in the `mushrooms` table.","cost":0.000585,"response_parsed":"SELECT DISTINCT odor, gillspacing FROM mushrooms;","time":6.013014555}} {"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":"\n\nTo fetch all unique combinations of `odor` and `gillsize` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT odor, gillsize FROM mushrooms;\n```\n\nThis query will return all unique pairs of `odor` and `gillsize` values present in the `mushrooms` table.","cost":0.0005364,"response_parsed":"SELECT DISTINCT odor, gillsize FROM mushrooms;","time":5.8436572552}} {"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":"\n\nTo fetch all the `gillattachment` values along with their corresponding `gillspacing` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillattachment, gillspacing FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table, showing the `gillattachment` and `gillspacing` columns for each entry.","cost":0.0006867,"response_parsed":"SELECT gillattachment, gillspacing FROM mushrooms;","time":6.9106543064}} {"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":"\n\nTo fetch the `gillattachment` along with `gillsize` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillattachment, gillsize FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table with the `gillattachment` and `gillsize` columns.","cost":0.0004716,"response_parsed":"SELECT gillattachment, gillsize FROM mushrooms;","time":4.4014828205}} {"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":"\n\nTo fetch the `gillspacing` along with all the `gillsize` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillspacing, gillsize FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table with the `gillspacing` and `gillsize` columns.","cost":0.0004851,"response_parsed":"SELECT gillspacing, gillsize FROM mushrooms;","time":4.0157799721}} {"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":"\n\nTo fetch the `gillspacing` along with all the `gillcolor` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillspacing, gillcolor FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table with the `gillspacing` and `gillcolor` columns.","cost":0.0005022,"response_parsed":"SELECT gillspacing, gillcolor FROM mushrooms;","time":4.4122033119}} {"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":"\n\nTo fetch all data from the `adultCensus` table ordered by `hoursperweek` in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nORDER BY hoursperweek ASC;\n```","cost":0.000432,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY hoursperweek ASC;","time":3.6664619446}} {"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":"\n\nTo fetch all data from the `adultCensus` table ordered by `hoursperweek` in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nORDER BY hoursperweek DESC;\n```","cost":0.000432,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY hoursperweek DESC;","time":3.4334046841}} {"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":"\n\nTo fetch all data from the `adultCensus` table ordered by the `income` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nORDER BY income ASC;\n```","cost":0.0004869,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY income ASC;","time":3.8938319683}} {"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":"\n\nTo fetch all data from the `adultCensus` table ordered by `income` in descending order, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nORDER BY income DESC;\n```\n\nThis query will return all rows from the `adultCensus` table, sorted by the `income` column in descending order.","cost":0.0005931,"response_parsed":"SELECT *\nFROM adultCensus\nORDER BY income DESC;","time":5.8860192299}} {"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":"\n\nTo project the `maritalstatus` column from the `adultCensus` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus\nFROM adultCensus\nORDER BY maritalstatus ASC;\n```","cost":0.000495,"response_parsed":"SELECT maritalstatus\nFROM adultCensus\nORDER BY maritalstatus ASC;","time":5.2547447681}} {"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":"\n\nTo project the `maritalstatus` column from the `adultCensus` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus \nFROM adultCensus \nORDER BY maritalstatus DESC;\n```","cost":0.0005103,"response_parsed":"SELECT maritalstatus \nFROM adultCensus \nORDER BY maritalstatus DESC;","time":4.6059446335}} {"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":"\n\nTo project the \"relationship\" column from the `adultCensus` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT relationship \nFROM adultCensus \nORDER BY relationship ASC;\n```\n\nThis query will:\n1. Select the unique values from the \"relationship\" column (`SELECT DISTINCT relationship`).\n2. Retrieve the data from the `adultCensus` table (`FROM adultCensus`).\n3. Sort the results in ascending order based on the \"relationship\" column (`ORDER BY relationship ASC`).","cost":0.0005148,"response_parsed":"SELECT DISTINCT relationship \nFROM adultCensus \nORDER BY relationship ASC;","time":5.251761198}} {"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":"\n\nTo project the \"relationship\" column from the `adultCensus` table and order it in descending order, you can use the following SQL query:\n\n```sql\nSELECT relationship\nFROM adultCensus\nORDER BY relationship DESC;\n```\n\nThis query will:\n1. Select the `relationship` column from the `adultCensus` table.\n2. Order the results in descending alphabetical order based on the `relationship` values.","cost":0.0005301,"response_parsed":"SELECT relationship\nFROM adultCensus\nORDER BY relationship DESC;","time":4.6849043369}} {"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":"\n\nTo fetch all data from the `mushrooms` table ordered by the `class` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms ORDER BY class ASC;\n```","cost":0.0004482,"response_parsed":"SELECT * FROM mushrooms ORDER BY class ASC;","time":4.2661380768}} {"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":"\n\nTo fetch all data from the `mushrooms` table ordered by the `class` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms ORDER BY class DESC;\n```","cost":0.0004698,"response_parsed":"SELECT * FROM mushrooms ORDER BY class DESC;","time":4.6006903648}} {"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":"\n\nTo fetch all data from the `mushrooms` table ordered by the `gillattachment` column in ascending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms ORDER BY gillattachment ASC;\n```","cost":0.0004041,"response_parsed":"SELECT * FROM mushrooms ORDER BY gillattachment ASC;","time":3.324090004}} {"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":"\n\nTo fetch all data from the `mushrooms` table ordered by the `gillattachment` column in descending order, you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms ORDER BY gillattachment DESC;\n```","cost":0.0003744,"response_parsed":"SELECT * FROM mushrooms ORDER BY gillattachment DESC;","time":3.1842567921}} {"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":"\n\nTo project the `gillspacing` column from the `mushrooms` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT gillspacing\nFROM mushrooms\nORDER BY gillspacing ASC;\n```\n\nThis query will:\n1. Select the `gillspacing` column from the `mushrooms` table.\n2. Order the results in ascending order based on the `gillspacing` values.","cost":0.0004617,"response_parsed":"SELECT gillspacing\nFROM mushrooms\nORDER BY gillspacing ASC;","time":4.061643362}} {"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":"\n\nTo project the `gillspacing` column from the `mushrooms` table in descending order, you can use the following SQL query:\n\n```sql\nSELECT gillspacing \nFROM mushrooms \nORDER BY gillspacing DESC;\n```","cost":0.0004689,"response_parsed":"SELECT gillspacing \nFROM mushrooms \nORDER BY gillspacing DESC;","time":3.8121371269}} {"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":"\n\nTo project the `capcolor` from the `mushrooms` table in ascending order, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capcolor\nFROM mushrooms\nORDER BY capcolor ASC;\n```\n\nThis query will:\n1. Select the unique values of `capcolor` from the `mushrooms` table.\n2. Order the results in ascending alphabetical order based on `capcolor`.","cost":0.0003654,"response_parsed":"SELECT DISTINCT capcolor\nFROM mushrooms\nORDER BY capcolor ASC;","time":2.7323076725}} {"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":"\n\nTo project the `capcolor` from the `mushrooms` table and order it in descending order, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capcolor\nFROM mushrooms\nORDER BY capcolor DESC;\n```","cost":0.0003933,"response_parsed":"SELECT DISTINCT capcolor\nFROM mushrooms\nORDER BY capcolor DESC;","time":2.9462082386}} {"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":"\n\nTo fetch all unique values of the \"sex\" column from the \"adultCensus\" table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT sex FROM adultCensus;\n```","cost":0.0004419,"response_parsed":"SELECT DISTINCT sex FROM adultCensus;","time":3.5077171326}} {"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":"\n\nTo fetch all the `hoursperweek` values from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT hoursperweek FROM adultCensus;\n```","cost":0.0006615,"response_parsed":"SELECT hoursperweek FROM adultCensus;","time":5.8272252083}} {"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":"\n\nTo fetch all the unique values of the \"workclass\" column from the \"adultCensus\" table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT workclass FROM adultCensus;\n```\n\nThis query will return all the distinct values in the \"workclass\" column of your \"adultCensus\" table.","cost":0.0007677,"response_parsed":"SELECT DISTINCT workclass FROM adultCensus;","time":7.5566673279}} {"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":"\n\nTo fetch all unique marital statuses from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT \"maritalstatus\" FROM \"adultCensus\";\n```","cost":0.0005877,"response_parsed":"SELECT DISTINCT \"maritalstatus\" FROM \"adultCensus\";","time":5.8242795467}} {"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":"\n\nTo fetch all education entries from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT education FROM adultCensus;\n```\n\nThis query will return all rows in the `education` column of the `adultCensus` table. If you want to see only unique education entries, you can use the `DISTINCT` keyword:\n\n```sql\nSELECT DISTINCT education FROM adultCensus;\n```","cost":0.0005508,"response_parsed":"SELECT DISTINCT education FROM adultCensus;","time":4.8101210594}} {"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":"\n\nTo show all the rows in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM adultCensus;\n```","cost":0.0005553,"response_parsed":"SELECT * FROM adultCensus;","time":4.9129579067}} {"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":"\n\nTo fetch all marital statuses from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus FROM adultCensus;\n```\n\nIf you want to fetch unique marital statuses (without duplicates), you can use the `DISTINCT` keyword:\n\n```sql\nSELECT DISTINCT maritalstatus FROM adultCensus;\n```","cost":0.0004383,"response_parsed":"SELECT DISTINCT maritalstatus FROM adultCensus;","time":3.4857594967}} {"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":"\n\nTo fetch all the `race` and `nativecountry` entries from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT race, nativecountry FROM adultCensus;\n```\n\nThis query will return all rows containing the `race` and `nativecountry` columns from your `adultCensus` table.","cost":0.0004932,"response_parsed":"SELECT race, nativecountry FROM adultCensus;","time":3.9649541378}} {"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":"\n\nTo fetch the `nativecountry`, `occupation`, and `race` from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT nativecountry, occupation, race FROM adultCensus;\n```","cost":0.0004275,"response_parsed":"SELECT nativecountry, occupation, race FROM adultCensus;","time":3.1336877346}} {"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":"\n\nTo fetch the occupation, income, education, and race from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT occupation, income, education, race FROM adultCensus;\n```","cost":0.000477,"response_parsed":"SELECT occupation, income, education, race FROM adultCensus;","time":4.0635604858}} {"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":"\n\nTo fetch the specified columns from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT occupation, race, relationship, workclass, maritalstatus \nFROM adultCensus;\n```\n\nThis query will return all rows with the columns `occupation`, `race`, `relationship`, `workclass`, and `maritalstatus` from the `adultCensus` table.","cost":0.0005211,"response_parsed":"SELECT occupation, race, relationship, workclass, maritalstatus \nFROM adultCensus;","time":5.1718480587}} {"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":"\n\nTo fetch the specified columns from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT sex, nativecountry, race, workclass, relationship, education\nFROM adultCensus;\n```\n\nThis query will return all rows from the `adultCensus` table with the columns `sex`, `nativecountry`, `race`, `workclass`, `relationship`, and `education`.","cost":0.0004959,"response_parsed":"SELECT sex, nativecountry, race, workclass, relationship, education\nFROM adultCensus;","time":4.4883270264}} {"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":"\n\nTo fetch the specified columns from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT income, education, sex, race, maritalstatus, occupation, relationship\nFROM adultCensus;\n```\n\nThis query selects the columns `income`, `education`, `sex`, `race`, `maritalstatus`, `occupation`, and `relationship` from the `adultCensus` table and returns all rows.","cost":0.0005427,"response_parsed":"SELECT income, education, sex, race, maritalstatus, occupation, relationship\nFROM adultCensus;","time":4.8661117554}} {"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":"\n\nTo fetch the specified columns from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education\nFROM adultCensus;\n```","cost":0.0005202,"response_parsed":"SELECT maritalstatus, relationship, workclass, sex, nativecountry, hoursperweek, income, education\nFROM adultCensus;","time":4.3188843727}} {"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":"\n\nTo fetch the specified columns from the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass\nFROM adultCensus;\n```","cost":0.0005472,"response_parsed":"SELECT hoursperweek, race, maritalstatus, sex, relationship, nativecountry, income, occupation, workclass\nFROM adultCensus;","time":4.6022205353}} {"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":"\n\nTo fetch all the unique values of \"odor\" from the \"mushrooms\" table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT odor FROM mushrooms;\n```\n\nThis query will return all unique values in the \"odor\" column of the \"mushrooms\" table.","cost":0.0004788,"response_parsed":"SELECT DISTINCT odor FROM mushrooms;","time":3.7519218922}} {"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":"\n\nTo fetch all the `gillspacing` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillspacing FROM mushrooms;\n```\n\nThis query will return all the records in the `gillspacing` column of your `mushrooms` table.","cost":0.0005031,"response_parsed":"SELECT gillspacing FROM mushrooms;","time":4.2159018517}} {"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":"\n\nTo fetch all unique values of `capshape` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT DISTINCT capshape FROM mushrooms;\n```\n\nThis query will return all unique values in the `capshape` column of the `mushrooms` table.","cost":0.0004788,"response_parsed":"SELECT DISTINCT capshape FROM mushrooms;","time":4.5581300259}} {"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":"\n\nTo fetch all the `capsurface` values from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface FROM mushrooms;\n```","cost":0.0004806,"response_parsed":"SELECT capsurface FROM mushrooms;","time":4.1523137093}} {"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":"\n\nTo fetch all the bruises from the \"mushrooms\" table, you can use the following SQL query:\n\n```sql\nSELECT bruises FROM mushrooms;\n```\n\nThis query will return all the entries in the \"bruises\" column of the \"mushrooms\" table.","cost":0.0005175,"response_parsed":"SELECT bruises FROM mushrooms;","time":5.3114528656}} {"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":"\n\nTo fetch all rows from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms;\n```\n\nThis query will return all columns (`*`) for every row in the `mushrooms` table.","cost":0.000486,"response_parsed":"SELECT * FROM mushrooms;","time":3.9385690689}} {"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":"\n\nTo fetch all the \"gillspacing\" values from the \"mushrooms\" table, you can use the following SQL query:\n\n```sql\nSELECT gillspacing FROM mushrooms;\n```","cost":0.0006039,"response_parsed":"SELECT gillspacing FROM mushrooms;","time":5.6678597927}} {"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":"\n\nTo fetch all the `odor` and `class` entries from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT \"odor\", \"class\" FROM mushrooms;\n```\n\nThis query will return all rows from the `mushrooms` table, displaying only the `odor` and `class` columns.","cost":0.0005031,"response_parsed":"SELECT \"odor\", \"class\" FROM mushrooms;","time":4.3012707233}} {"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":"\n\nTo fetch the `capcolor`, `gillattachment`, and `gillspacing` from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capcolor, gillattachment, gillspacing FROM mushrooms;\n```","cost":0.0004887,"response_parsed":"SELECT capcolor, gillattachment, gillspacing FROM mushrooms;","time":3.9262661934}} {"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":"\n\nTo fetch the specified columns from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms;\n```","cost":0.0004563,"response_parsed":"SELECT capsurface, gillcolor, odor, gillattachment FROM mushrooms;","time":3.6152360439}} {"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":"\n\nTo fetch the specified columns from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT odor, gillcolor, bruises, gillsize, gillattachment FROM mushrooms;\n```","cost":0.0004428,"response_parsed":"SELECT odor, gillcolor, bruises, gillsize, gillattachment FROM mushrooms;","time":3.6025354862}} {"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":"\n\nTo fetch the specified columns from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capsurface, class, odor, gillcolor, bruises, capcolor FROM `mushrooms`;\n```","cost":0.0005481,"response_parsed":"SELECT capsurface, class, odor, gillcolor, bruises, capcolor FROM `mushrooms`;","time":4.9507231712}} {"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":"\n\nTo fetch the specified columns from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises FROM mushrooms;\n```","cost":0.0005094,"response_parsed":"SELECT gillattachment, gillspacing, capshape, class, capsurface, odor, bruises FROM mushrooms;","time":4.7096009254}} {"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":"\n\nTo fetch the specified columns from the mushrooms table, you can use the following SQL query:\n\n```sql\nSELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class \nFROM mushrooms;\n```","cost":0.0005499,"response_parsed":"SELECT capcolor, capshape, gillcolor, gillspacing, odor, gillattachment, capsurface, class \nFROM mushrooms;","time":4.2209672928}} {"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":"\n\nTo fetch the specified columns from the `mushrooms` table, you can use the following SQL query:\n\n```sql\nSELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor\nFROM mushrooms;\n```","cost":0.0004968,"response_parsed":"SELECT capcolor, capshape, class, gillcolor, gillspacing, bruises, gillattachment, capsurface, odor\nFROM mushrooms;","time":4.268797636}} {"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":"\n\nTo fetch the data from the `adultCensus` table where the `relationship` is equal to \"Husband\", you can use the following SQL query:\n\n```sql\nSELECT * FROM adultCensus WHERE relationship = 'Husband';\n```","cost":0.0005553,"response_parsed":"SELECT * FROM adultCensus WHERE relationship = 'Husband';","time":4.8718526363}} {"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":"\n\nTo fetch the data from the `adultCensus` table where the `relationship` is different from \"Own-child\", you can use the following SQL query:\n\n```sql\nSELECT * FROM adultCensus WHERE relationship != 'Own-child';\n```","cost":0.0005157,"response_parsed":"SELECT * FROM adultCensus WHERE relationship != 'Own-child';","time":4.4045481682}} {"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":"\n\nTo fetch the data from the `adultCensus` table where the `relationship` is not equal to 'Wife', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nWHERE relationship <> 'Wife';\n```","cost":0.0005022,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE relationship <> 'Wife';","time":4.0833978653}} {"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":"\n\n```sql\nSELECT * FROM adultCensus WHERE education = 'Some-college';\n```","cost":0.0004644,"response_parsed":"SELECT * FROM adultCensus WHERE education = 'Some-college';","time":3.8265073299}} {"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":"\n\nTo fetch the data from the `adultCensus` table where the `education` is different from '10th', you can use the following SQL query:\n\n```sql\nSELECT * FROM adultCensus WHERE education <> '10th';\n```","cost":0.0004878,"response_parsed":"SELECT * FROM adultCensus WHERE education <> '10th';","time":4.14194417}} {"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":"\n\nTo fetch the data from the `adultCensus` table where the `education` column is not equal to \"Masters\", you can use the following SQL query:\n\n```sql\nSELECT * FROM adultCensus WHERE education <> 'Masters';\n```","cost":0.0005661,"response_parsed":"SELECT * FROM adultCensus WHERE education <> 'Masters';","time":4.9292998314}} {"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":"\n\nTo fetch the data from the `adultCensus` table where `nativecountry` is equal to 'Germany', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nWHERE nativecountry = 'Germany';\n```","cost":0.000486,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE nativecountry = 'Germany';","time":4.2177200317}} {"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":"\n\nTo fetch the data from the `adultCensus` table where the `nativecountry` is different from \"United-States\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nWHERE nativecountry != 'United-States';\n```\n\nThis query will return all rows from the `adultCensus` table where the `nativecountry` column does not contain the value \"United-States\".","cost":0.0005427,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE nativecountry != 'United-States';","time":4.3484213352}} {"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":"\n\nTo fetch the data from the `adultCensus` table where the `nativecountry` is not equal to \"Mexico,\" you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nWHERE nativecountry != 'Mexico';\n```","cost":0.0005247,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE nativecountry != 'Mexico';","time":4.3175153732}} {"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":"\n\nTo fetch the data from the `adultCensus` table where `hoursperweek` is greater than 40, you can use the following SQL query:\n\n```sql\nSELECT * FROM adultCensus WHERE hoursperweek > 40;\n```","cost":0.0005166,"response_parsed":"SELECT * FROM adultCensus WHERE hoursperweek > 40;","time":4.3638091087}} {"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":"\n\nTo fetch the data from the `adultCensus` table where `hoursperweek` is less than 60, you can use the following SQL query:\n\n```sql\nSELECT *\nFROM adultCensus\nWHERE hoursperweek < 60;\n```","cost":0.0005067,"response_parsed":"SELECT *\nFROM adultCensus\nWHERE hoursperweek < 60;","time":4.0621581078}} {"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":"\n\nTo fetch the data from the `mushrooms` table where the `gillattachment` is equal to 'attached', you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms WHERE gillattachment = 'attached';\n```","cost":0.000549,"response_parsed":"SELECT * FROM mushrooms WHERE gillattachment = 'attached';","time":4.6318852901}} {"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":"\n\nTo fetch the data from the `mushrooms` table where the `gillattachment` is different from 'attached', you can use the following SQL query:\n\n```sql\nSELECT *\nFROM mushrooms\nWHERE gillattachment != 'attached';\n```","cost":0.0005022,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillattachment != 'attached';","time":3.876247406}} {"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":"\n\nTo fetch the data from the `mushrooms` table where the `gillattachment` is not equal to 'free', you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms WHERE gillattachment != 'free';\n```","cost":0.0005688,"response_parsed":"SELECT * FROM mushrooms WHERE gillattachment != 'free';","time":5.1668567657}} {"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":"\n\n```sql\nSELECT * FROM mushrooms WHERE gillsize = 'narrow';\n```","cost":0.0005319,"response_parsed":"SELECT * FROM mushrooms WHERE gillsize = 'narrow';","time":4.5201227665}} {"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":"\n\nTo fetch the data from the `mushrooms` table where the `gillsize` is different from \"narrow\", you can use the following SQL query:\n\n```sql\nSELECT *\nFROM mushrooms\nWHERE gillsize != 'narrow';\n```","cost":0.0004932,"response_parsed":"SELECT *\nFROM mushrooms\nWHERE gillsize != 'narrow';","time":4.750939846}} {"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":"\n\nTo fetch the data from the `mushrooms` table where `gillsize` is not equal to 'narrow', you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms WHERE gillsize <> 'narrow';\n```","cost":0.0004689,"response_parsed":"SELECT * FROM mushrooms WHERE gillsize <> 'narrow';","time":4.0113670826}} {"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":"\n\nTo fetch the data from the `mushrooms` table where the `bruises` column is equal to 'no', you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms WHERE bruises = 'no';\n```","cost":0.0004761,"response_parsed":"SELECT * FROM mushrooms WHERE bruises = 'no';","time":4.3693816662}} {"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":"\n\nTo fetch the data from the `mushrooms` table where the `bruises` column is different from 'no', you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms WHERE bruises != 'no';\n```","cost":0.0005184,"response_parsed":"SELECT * FROM mushrooms WHERE bruises != 'no';","time":4.5889413357}} {"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":"\n\nTo fetch the data from the `mushrooms` table where the `bruises` column is not equal to 'no', you can use the following SQL query:\n\n```sql\nSELECT * FROM mushrooms WHERE bruises != 'no';\n```","cost":0.0006381,"response_parsed":"SELECT * FROM mushrooms WHERE bruises != 'no';","time":5.5894081593}} {"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":"\n\nTo determine how many different races are in the `adultCensus` table, you can use the following SQL query:\n\n```sql\nSELECT COUNT(DISTINCT race) FROM adultCensus;\n```\n\nThis query will count the number of unique values in the `race` column of the `adultCensus` table.","cost":0.0005031,"response_parsed":"SELECT COUNT(DISTINCT race) FROM adultCensus;","time":3.8413271904}} {"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":"\n\nTo determine how many different `nativecountry` values are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT nativecountry) FROM adultCensus;\n```","cost":0.0006138,"response_parsed":"SELECT COUNT(DISTINCT nativecountry) FROM adultCensus;","time":5.7190439701}} {"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":"\n\nTo determine how many different `workclass` values are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT workclass) AS number_of_workclasses FROM adultCensus;\n```\n\nThis query will return the number of distinct `workclass` values in the `adultCensus` table.","cost":0.0005346,"response_parsed":"SELECT COUNT(DISTINCT workclass) AS number_of_workclasses FROM adultCensus;","time":4.4105188847}} {"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":"\n\nTo determine how many different educations are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT education) AS NumberOfEducations \nFROM adultCensus;\n```\n\nThis query will return the number of distinct education entries in the `adultCensus` table.","cost":0.00054,"response_parsed":"SELECT COUNT(DISTINCT education) AS NumberOfEducations \nFROM adultCensus;","time":4.6111626625}} {"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":"\n\nTo determine how many different incomes are present in the `adultCensus` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT income) FROM adultCensus;\n```","cost":0.0005481,"response_parsed":"SELECT COUNT(DISTINCT income) FROM adultCensus;","time":5.0470001698}} {"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":"\n\nTo find the maximum `hoursperweek` for the table `adultCensus`, you can use the SQL `MAX()` function. Here is the SQL code:\n\n```sql\nSELECT MAX(hoursperweek) FROM adultCensus;\n```","cost":0.0004248,"response_parsed":"SELECT MAX(hoursperweek) FROM adultCensus;","time":3.5431950092}} {"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":"\n\nTo find the minimum `hoursperweek` for the table `adultCensus`, you can use the SQL `MIN()` function. Here is the SQL code:\n\n```sql\nSELECT MIN(hoursperweek) AS minimum_hours\nFROM adultCensus;\n```\n\nThis query will return the smallest value in the `hoursperweek` column of the `adultCensus` table.","cost":0.0004599,"response_parsed":"SELECT MIN(hoursperweek) AS minimum_hours\nFROM adultCensus;","time":3.8129837513}} {"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":"\n\nTo find the average `hoursperweek` for the table `adultCensus`, you can use the SQL `AVG()` function. Here is the SQL code:\n\n```sql\nSELECT AVG(hoursperweek) FROM adultCensus;\n```","cost":0.0004797,"response_parsed":"SELECT AVG(hoursperweek) FROM adultCensus;","time":3.8367807865}} {"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":"\n\nTo determine how many different `capsurface` values are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT capsurface) FROM mushrooms;\n```","cost":0.0004725,"response_parsed":"SELECT COUNT(DISTINCT capsurface) FROM mushrooms;","time":4.3293659687}} {"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":"\n\nTo determine how many different `gillattachment` values are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT gillattachment) FROM mushrooms;\n```","cost":0.0005283,"response_parsed":"SELECT COUNT(DISTINCT gillattachment) FROM mushrooms;","time":8.6530900002}} {"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":"\n\nTo determine how many different odors are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT odor) FROM mushrooms;\n```","cost":0.0005175,"response_parsed":"SELECT COUNT(DISTINCT odor) FROM mushrooms;","time":4.6822214127}} {"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":"\n\nTo determine how many different `gillsize` values are in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT gillsize) AS distinct_gillsize_count FROM mushrooms;\n```\n\nThis query will return the number of unique `gillsize` values in your `mushrooms` table.","cost":0.000513,"response_parsed":"SELECT COUNT(DISTINCT gillsize) AS distinct_gillsize_count FROM mushrooms;","time":4.5084087849}} {"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":"\n\nTo determine how many different `gillcolor` values are present in the `mushrooms` table, you can use the `COUNT(DISTINCT column_name)` function in SQL. This function counts the number of unique values in the specified column.\n\nHere is the SQL code to fetch the answer:\n\n```sql\nSELECT COUNT(DISTINCT \"gillcolor\") FROM mushrooms;\n```","cost":0.0005544,"response_parsed":"SELECT COUNT(DISTINCT \"gillcolor\") FROM mushrooms;","time":5.2799110413}}