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[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you calculate the average credit amount for each month?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, AVG(\"Credit in INR\") AS average_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the mean credit amount for each month?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, AVG(\"Credit in INR\") AS average_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How much is the average credit value each month?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, AVG(\"Credit in INR\") AS average_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the average credit amount across all months?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, AVG(\"Credit in INR\") AS average_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you provide the monthly average credit amounts?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, AVG(\"Credit in INR\") AS average_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How do the debit and credit amounts compare over time?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you compare the trends of debit and credit amounts over time?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How do the debit and credit values change over time?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the relationship between debit and credit amounts over time?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you show how debit and credit amounts vary over time?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How do the debit and credit totals evolve over time?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What month had the highest debit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY month ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which month recorded the highest debit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY month ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} In which month was the highest debit value observed?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY month ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What month had the largest debit total?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY month ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which month saw the highest debit total?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY month ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you identify the month with the highest debit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY month ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What month had the highest credit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which month recorded the highest credit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} In which month was the highest credit value observed?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What month had the largest credit total?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which month saw the highest credit total?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you identify the month with the highest credit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which year had the highest total debit?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY year ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What year had the largest total debit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY year ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which year recorded the highest debit total?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY year ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} In which year was the highest debit value observed?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY year ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What year had the greatest total debit?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY year ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which year had the highest debit sum?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY year ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which year had the highest total credit?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY year ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What year had the largest total credit amount?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY year ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which year recorded the highest credit total?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY year ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} In which year was the highest credit value observed?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY year ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What year had the greatest total credit?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY year ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which year had the highest credit sum?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y\", \"Entry date\") AS year, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY year ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the average time between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "SELECT AVG(JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\")) AS average_days FROM financial_data;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you calculate the average duration between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "SELECT AVG(JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\")) AS average_days FROM financial_data;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the mean time difference between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "SELECT AVG(JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\")) AS average_days FROM financial_data;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How much time passes on average between the 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "SELECT AVG(JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\")) AS average_days FROM financial_data;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the average time lag between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "SELECT AVG(JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\")) AS average_days FROM financial_data;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you provide the average time interval between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "SELECT AVG(JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\")) AS average_days FROM financial_data;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What are the top 5 days of the week for transactions?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%w\", \"Entry date\") AS day_of_week, COUNT(*) AS transaction_count FROM financial_data GROUP BY day_of_week ORDER BY transaction_count DESC LIMIT 5;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which 5 days of the week have the most transactions?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%w\", \"Entry date\") AS day_of_week, COUNT(*) AS transaction_count FROM financial_data GROUP BY day_of_week ORDER BY transaction_count DESC LIMIT 5;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What are the 5 most frequent days of the week for transactions?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%w\", \"Entry date\") AS day_of_week, COUNT(*) AS transaction_count FROM financial_data GROUP BY day_of_week ORDER BY transaction_count DESC LIMIT 5;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you list the 5 days of the week with the highest transaction volume?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%w\", \"Entry date\") AS day_of_week, COUNT(*) AS transaction_count FROM financial_data GROUP BY day_of_week ORDER BY transaction_count DESC LIMIT 5;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What are the top 5 days in the week for transaction activity?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%w\", \"Entry date\") AS day_of_week, COUNT(*) AS transaction_count FROM financial_data GROUP BY day_of_week ORDER BY transaction_count DESC LIMIT 5;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which 5 days of the week see the most transactions?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%w\", \"Entry date\") AS day_of_week, COUNT(*) AS transaction_count FROM financial_data GROUP BY day_of_week ORDER BY transaction_count DESC LIMIT 5;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many transactions happen on weekends (Saturdays and Sundays)?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekend_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") IN (\"0\", \"6\");"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the count of transactions occurring on weekends (Saturdays and Sundays)?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekend_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") IN (\"0\", \"6\");"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many records are posted on Saturdays and Sundays?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekend_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") IN (\"0\", \"6\");"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you tell me the number of transactions on weekends?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekend_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") IN (\"0\", \"6\");"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many transactions were made on Saturdays and Sundays?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekend_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") IN (\"0\", \"6\");"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the total number of weekend transactions?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekend_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") IN (\"0\", \"6\");"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many transactions occur on weekdays (Monday to Friday)?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekday_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") BETWEEN \"1\" AND \"5\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the count of transactions that occur on weekdays (Monday to Friday)?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekday_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") BETWEEN \"1\" AND \"5\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many records are posted from Monday to Friday?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekday_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") BETWEEN \"1\" AND \"5\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you tell me the number of transactions on weekdays?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekday_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") BETWEEN \"1\" AND \"5\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many transactions were made between Monday and Friday?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekday_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") BETWEEN \"1\" AND \"5\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the total number of weekday transactions?"
},
{
"from": "gpt",
"value": "SELECT COUNT(*) AS weekday_transactions_count FROM financial_data WHERE strftime(\"%w\", \"Entry date\") BETWEEN \"1\" AND \"5\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the median time between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "WITH DateDifferences AS (SELECT JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\") AS date_diff FROM financial_data)SELECT date_diff FROM DateDifferences ORDER BY date_diff LIMIT 1 OFFSET (SELECT COUNT(*) / 2 FROM DateDifferences);"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you calculate the median duration between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "WITH DateDifferences AS (SELECT JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\") AS date_diff FROM financial_data)SELECT date_diff FROM DateDifferences ORDER BY date_diff LIMIT 1 OFFSET (SELECT COUNT(*) / 2 FROM DateDifferences);"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the median time difference between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "WITH DateDifferences AS (SELECT JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\") AS date_diff FROM financial_data)SELECT date_diff FROM DateDifferences ORDER BY date_diff LIMIT 1 OFFSET (SELECT COUNT(*) / 2 FROM DateDifferences);"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How much time passes in the middle of the distribution between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "WITH DateDifferences AS (SELECT JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\") AS date_diff FROM financial_data)SELECT date_diff FROM DateDifferences ORDER BY date_diff LIMIT 1 OFFSET (SELECT COUNT(*) / 2 FROM DateDifferences);"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the median time lag between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "WITH DateDifferences AS (SELECT JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\") AS date_diff FROM financial_data)SELECT date_diff FROM DateDifferences ORDER BY date_diff LIMIT 1 OFFSET (SELECT COUNT(*) / 2 FROM DateDifferences);"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you provide the median time interval between 'Entry date' and 'Document date'?"
},
{
"from": "gpt",
"value": "WITH DateDifferences AS (SELECT JULIANDAY(\"Document date\") - JULIANDAY(\"Entry date\") AS date_diff FROM financial_data)SELECT date_diff FROM DateDifferences ORDER BY date_diff LIMIT 1 OFFSET (SELECT COUNT(*) / 2 FROM DateDifferences);"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many entries were made on the same date as the 'Entry date'?"
},
{
"from": "gpt",
"value": "SELECT \"Entry date\", COUNT(*) AS entries_count FROM financial_data GROUP BY \"Entry date\" HAVING COUNT(*) > 1 ORDER BY \"Entry date\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the number of entries with the same date as the 'Entry date'?"
},
{
"from": "gpt",
"value": "SELECT \"Entry date\", COUNT(*) AS entries_count FROM financial_data GROUP BY \"Entry date\" HAVING COUNT(*) > 1 ORDER BY \"Entry date\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many transactions were posted on the same date as the 'Entry date'?"
},
{
"from": "gpt",
"value": "SELECT \"Entry date\", COUNT(*) AS entries_count FROM financial_data GROUP BY \"Entry date\" HAVING COUNT(*) > 1 ORDER BY \"Entry date\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you count the entries made on the same date as the 'Entry date'?"
},
{
"from": "gpt",
"value": "SELECT \"Entry date\", COUNT(*) AS entries_count FROM financial_data GROUP BY \"Entry date\" HAVING COUNT(*) > 1 ORDER BY \"Entry date\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How many records match the 'Entry date' in terms of date?"
},
{
"from": "gpt",
"value": "SELECT \"Entry date\", COUNT(*) AS entries_count FROM financial_data GROUP BY \"Entry date\" HAVING COUNT(*) > 1 ORDER BY \"Entry date\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the total number of entries with the same 'Entry date'?"
},
{
"from": "gpt",
"value": "SELECT \"Entry date\", COUNT(*) AS entries_count FROM financial_data GROUP BY \"Entry date\" HAVING COUNT(*) > 1 ORDER BY \"Entry date\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the trend of debit and credit amounts over the months?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How do debit and credit amounts change over the months?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you show the pattern of debit and credit amounts over time?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the trend of debit and credit values month by month?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How do the totals for debit and credit vary across months?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What are the trends in debit and credit amounts over the months?"
},
{
"from": "gpt",
"value": "SELECT strftime(\"%Y-%m\", \"Entry date\") AS month, SUM(\"Debit in INR\") AS total_debit_in_inr, SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY month ORDER BY month;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the total debit amount for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you calculate the total debit amount for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the total debit value for every contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How much is the total debit amount for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the sum of debit amounts for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you provide the total debit amounts for all contra accounts?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the total credit amount for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you calculate the total credit amount for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the total credit value for every contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} How much is the total credit amount for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the sum of credit amounts for each contra account?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you provide the total credit amounts for all contra accounts?"
},
{
"from": "gpt",
"value": "SELECT \"Contra account name\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"Contra account name\";"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which GL Code has the highest debit amount?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What GL Code recorded the highest debit value?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which GL Code has the largest debit total?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the GL Code with the highest debit amount?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which GL Code has the greatest debit amount?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Can you identify the GL Code with the highest debit total?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Debit in INR\") AS total_debit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_debit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which GL Code has the highest credit amount?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What GL Code recorded the highest credit value?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which GL Code has the largest credit total?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} What is the GL Code with the highest credit amount?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
[
{
"from": "human",
"value": "Schema (Table: financial_data): {'GL Code': 'int64', 'GL Description': 'object', 'Contra account code': 'object', 'Contra account name': 'object', 'Entry date': 'datetime64[ns]', 'Document date': 'datetime64[ns]', 'Document No': 'int64', 'User prepared': 'object', 'Entry number': 'float64', 'Debit in INR': 'float64', 'Credit in INR': 'float64', 'Entry Currency': 'object', 'Journal Description': 'object', 'PLANT': 'object'} Which GL Code has the greatest credit amount?"
},
{
"from": "gpt",
"value": "SELECT \"GL Code\", SUM(\"Credit in INR\") AS total_credit_in_inr FROM financial_data GROUP BY \"GL Code\" ORDER BY total_credit_in_inr DESC LIMIT 1;"
}
] | output_dataset | 5 |
Subsets and Splits