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prompts.jsonl
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prompts.jsonl
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{"event": "llm_start", "timestamp": "2024-10-31T22:35:41.150638+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-10-31T22:35:41.959465+00:00", "text": "SELECT * FROM salaries WHERE salary > 10000 LIMIT 5;\n\nThe query seems to be correct and follows the best practices for SQL queries. It does not contain any of the common mistakes listed. Here are some explanations for each point:\n\n* Using NOT IN with NULL values: The query does not use NOT IN or IN operators, so this is not applicable.\n* Using UNION when UNION ALL should have been used: The query does not use UNION or UNION ALL operators, so this is not applicable.\n* Using BETWEEN for exclusive ranges: The query does not use the BETWEEN operator, so this is not applicable.\n* Data type mismatch in predicates: The query compares the salary column, which is presumably a numeric column, with a numeric value (10000), so there is no data type mismatch.\n* Properly quoting identifiers: The query does not use any identifiers that require quoting, such as column names with spaces or reserved words.\n* Using the correct number of arguments for functions: The query does not use any functions, so this is not applicable.\n* Casting to the correct data type: The query does not involve any data type casting, so this is not applicable.\n* Using the proper columns for joins: The query does not involve any joins, so this is not applicable."}
{"event": "llm_start", "timestamp": "2024-10-31T22:40:22.323344+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_start", "timestamp": "2024-10-31T22:40:50.835325+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_start", "timestamp": "2024-10-31T22:40:54.728603+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_start", "timestamp": "2024-10-31T22:42:39.761005+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_start", "timestamp": "2024-10-31T22:51:11.951208+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-10-31T22:51:12.991515+00:00", "text": "SELECT * FROM salaries WHERE salary > 10000 LIMIT 5;\n\nThe query seems to be correct and follows the best practices for SQL queries. It does not contain any of the common mistakes listed. Here are some explanations for each point:\n\n* Using NOT IN with NULL values: The query does not use NOT IN or IN operators, so this is not applicable.\n* Using UNION when UNION ALL should have been used: The query does not use UNION or UNION ALL operators, so this is not applicable.\n* Using BETWEEN for exclusive ranges: The query does not use the BETWEEN operator, so this is not applicable.\n* Data type mismatch in predicates: The query compares the salary column, which is presumably a numeric column, with a numeric value (10000), so there is no data type mismatch.\n* Properly quoting identifiers: The query does not use any identifiers that require quoting, such as column names with spaces or reserved words.\n* Using the correct number of arguments for functions: The query does not use any functions, so this is not applicable.\n* Casting to the correct data type: The query does not involve any data type casting, so this is not applicable.\n* Using the proper columns for joins: The query does not involve any joins, so this is not applicable."}
{"event": "llm_start", "timestamp": "2024-10-31T22:55:05.761533+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-10-31T22:55:06.443777+00:00", "text": "SELECT * FROM salaries WHERE salary > 10000 LIMIT 5;\n\nThe query seems to be correct and follows the best practices for SQL queries. It does not contain any of the common mistakes listed. Here are some explanations for each point:\n\n* Using NOT IN with NULL values: The query does not use NOT IN or IN operators, so this is not applicable.\n* Using UNION when UNION ALL should have been used: The query does not use UNION or UNION ALL operators, so this is not applicable.\n* Using BETWEEN for exclusive ranges: The query does not use the BETWEEN operator, so this is not applicable.\n* Data type mismatch in predicates: The query compares the salary column, which is presumably a numeric column, with a numeric value (10000), so there is no data type mismatch.\n* Properly quoting identifiers: The query does not use any identifiers that require quoting, such as column names with spaces or reserved words.\n* Using the correct number of arguments for functions: The query does not use any functions, so this is not applicable.\n* Casting to the correct data type: The query does not involve any data type casting, so this is not applicable.\n* Using the proper columns for joins: The query does not involve any joins, so this is not applicable."}
{"event": "llm_start", "timestamp": "2024-10-31T22:57:02.905426+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-10-31T22:57:03.111037+00:00", "text": "SELECT * FROM salaries WHERE salary > 10000 LIMIT 5"}
{"event": "llm_start", "timestamp": "2024-10-31T22:59:53.713088+00:00", "text": "Human: \nSELECT company_location, company_size, experience_level, AVG(salary_in_usd) AS average_salary FROM salaries GROUP BY company_location, company_size, experience_level\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-10-31T22:59:53.994692+00:00", "text": "SELECT company_location, company_size, experience_level, AVG(salary_in_usd) AS average_salary FROM salaries GROUP BY company_location, company_size, experience_level"}
{"event": "llm_start", "timestamp": "2024-11-02T01:18:12.098355+00:00", "text": "Human: \nSELECT * WHERE salary > 10000 LIMIT 5 table = salaries\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-11-02T01:18:12.574424+00:00", "text": "SELECT * FROM salaries WHERE salary > 10000 LIMIT 5"}
{"event": "llm_start", "timestamp": "2024-11-02T01:18:52.036274+00:00", "text": "Human: \nSELECT company_location, company_size, experience_level, AVG(salary_in_usd) AS average_salary FROM salaries GROUP BY company_location, company_size, experience_level;\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-11-02T01:18:52.542208+00:00", "text": "The original query is correct and does not contain any of the common mistakes mentioned. Here is the final SQL query:\n\n```\nSELECT company_location, company_size, experience_level, AVG(salary_in_usd) AS average_salary \nFROM salaries \nGROUP BY company_location, company_size, experience_level;\n```"}
{"event": "llm_start", "timestamp": "2024-11-02T01:21:35.569785+00:00", "text": "Human: \nSELECT job_title, salary_in_usd, employment_type, remote_ratio FROM salaries WHERE job_title LIKE '%Machine Learning%' ORDER BY remote_ratio;\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-11-02T01:21:35.873095+00:00", "text": "SELECT job_title, salary_in_usd, employment_type, remote_ratio \nFROM salaries \nWHERE job_title LIKE '%Machine Learning%' \nORDER BY remote_ratio;"}
{"event": "llm_start", "timestamp": "2024-11-02T01:23:41.521872+00:00", "text": "Human: \nSELECT employment_type, experience_level, SUM(salary_in_usd) AS total_salary_usd FROM salaries GROUP BY employment_type, experience_level;\nDouble check the sqlite query above for common mistakes, including:\n- Using NOT IN with NULL values\n- Using UNION when UNION ALL should have been used\n- Using BETWEEN for exclusive ranges\n- Data type mismatch in predicates\n- Properly quoting identifiers\n- Using the correct number of arguments for functions\n- Casting to the correct data type\n- Using the proper columns for joins\n\nIf there are any of the above mistakes, rewrite the query. If there are no mistakes, just reproduce the original query.\n\nOutput the final SQL query only.\n\nSQL Query: "}
{"event": "llm_end", "timestamp": "2024-11-02T01:23:41.928392+00:00", "text": "The SQL query is correct and doesn't contain any of the common mistakes mentioned. Here is the original query:\n\n```\nSELECT employment_type, experience_level, SUM(salary_in_usd) AS total_salary_usd FROM salaries GROUP BY employment_type, experience_level;\n```"}