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<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for null values in NOT NULL columns.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123", "", "Sales"], ["456", "John", "Marketing"]], "excel_metadata": [{"column_name": "Emp_ID", "data_type": "NUMBER(5)", "allow_null": "No"}, {"column_n... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate data length against column definitions.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["AliceSmith", "HR"]], "excel_metadata": [{"column_name": "Emp_Name", "data_type": "VARCHAR2(5)", "allow_null": "No"}, {"column_name": "Department", ... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for values violating NUMBER precision and scale.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["1234567890.12"], ["123456.7"]], "excel_metadata": [{"column_name": "Salary", "data_type": "NUMBER(10,2)", "allow_null": "No"}]}<|eot_id|><|st... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Validate invalid characters in column names.<|eot_id|><|start_header_id|>user<|end_header_id|>{"excel_metadata": [{"column_name": "1stName", "data_type": "VARCHAR2(20)", "allow_null": "No"}, {"column_name": "Dept$", "data_type": "VARCHAR2(30)", "allow_null": "Y... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Ensure date format consistency.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["01-02-24"], ["03/02/24"], ["04-02-2024"]], "excel_metadata": [{"column_name": "Join_Date", "data_type": "DATE", "allow_null": "No"}]}<|eot_id|><|start_header_id|>as... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check for invalid numeric entries.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123"], ["(567)"], ["abc"], ["-89.6"]], "excel_metadata": [{"column_name": "Bonus", "data_type": "NUMBER(5,1)", "allow_null": "No"}]}<|eot_id|><|start_header_id|>... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Aggregate revenue by region.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["North", "1200"], ["South", "800"], ["North", "720"]], "column_mapping": ["Region", "Total_Revenue"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The region w... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check if values fit VARCHAR2(5) column.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["123.4"], ["123.45"], ["1234.5"]], "excel_metadata": [{"column_name": "Amount", "data_type": "VARCHAR2(5)", "allow_null": "No"}]}<|eot_id|><|start_header_id|... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Identify padded values violating NUMBER(10,8) precision.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["12.34567891"], ["1234.67"], ["12345"]], "excel_metadata": [{"column_name": "Conversion_Rate", "data_type": "NUMBER(10,8)", "allow_null": "N... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>Check total units sold.<|eot_id|><|start_header_id|>user<|end_header_id|>{"csv_data": [["120"], ["85"], ["90"], ["75"], ["60"]], "column_mapping": ["Total_Units"]}<|eot_id|><|start_header_id|>assistant<|end_header_id|>The total units sold is 430.<|eot_id|> |
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