{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"bigcodebench","formal_name":"BigCodeBench","introduction":"BigCodeBench poses 1,140 function-level tasks drawn across 139 libraries. It tests whether a model can compose several real APIs correctly rather than write one self-contained function.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://bigcode-bench.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"790d25cf-859b-5885-b2da-929d99d33ac3","task_key":"default--v0~2e1~2e0~5fhf--790d25cf-859b-5885-b2da-929d99d33ac3","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 790d25cf-859b-5885-b2da-929d99d33ac3","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import sqlite3\\nimport pandas as pd\\nimport seaborn as sns\\ndef task_func(db_name=\\\"test.db\\\", table_name=\\\"People\\\"):\\n\",\"complete_prompt\":\"import sqlite3\\nimport pandas as pd\\nimport seaborn as sns\\n\\n\\ndef task_func(db_name=\\\"test.db\\\", table_name=\\\"People\\\"):\\n    \\\"\\\"\\\"\\n    Draw the age distribution of the persons in an SQLite3 table and returns the Axes object of the plot.\\n    Raises a ValueError if the loaded data contains negative age values.\\n\\n    Parameters:\\n    db_name (str, optional): The full path to the SQLite3 database file. Defaults to 'test.db'.\\n    table_name (str, optional): The name of the table to plot from. Defaults to 'People'.\\n\\n    Returns:\\n    matplotlib.axes._axes.Axes: Axes object representing the age distribution plot,\\n                                           with x-axis showing 'age' and a default of bins of 30, and kde set to True.\\n\\n    Requirements:\\n    - sqlite3\\n    - pandas\\n    - seaborn\\n\\n    Raises:\\n    ValueError: If the data contains negative age values.\\n    \\n    Examples:\\n    >>> ax = task_func('path/to/test.db', 'People')\\n    >>> type(ax)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    >>> ax = task_func()\\n    >>> type(ax)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Draw the age distribution of the persons in an SQLite3 table and returns the Axes object of the plot. Raises a ValueError if the loaded data contains negative age values.\\nThe function should raise the exception for: ValueError: If the data contains negative age values.\\nThe function should output with:\\n    matplotlib.axes._axes.Axes: Axes object representing the age distribution plot,\\n    with x-axis showing 'age' and a default of bins of 30, and kde set to True.\\nYou should write self-contained code starting with:\\n```\\nimport sqlite3\\nimport pandas as pd\\nimport seaborn as sns\\ndef task_func(db_name=\\\"test.db\\\", table_name=\\\"People\\\"):\\n```\",\"libs\":\"['sqlite3', 'pandas', 'seaborn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}