{"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":"0b5be739-85bc-5892-ba43-031ebce89872","task_key":"default--v0~2e1~2e0~5fhf--0b5be739-85bc-5892-ba43-031ebce89872","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 0b5be739-85bc-5892-ba43-031ebce89872","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport numpy as np\\ndef task_func(data, column=\\\"c\\\"):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport numpy as np\\n\\n\\ndef task_func(data, column=\\\"c\\\"):\\n    \\\"\\\"\\\"\\n    Remove a column from a data dictionary if it exists, and then plot the remaining data\\n    if it contains numeric data.\\n\\n    Parameters:\\n    - data (dict): The input data dictionary.\\n    - column (str): Name of column to remove. Defaults to \\\"c\\\".\\n\\n    Returns:\\n    - df (pd.DataFrame): The modified DataFrame after removing the specified column.\\n    - ax (matplotlib.axes._axes.Axes or None): The plot of the modified DataFrame if there's\\n      numeric data to plot, otherwise None.\\n\\n    Requirements:\\n    - pandas\\n    - numpy\\n\\n    Example:\\n    >>> data = {'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]}\\n    >>> modified_df, ax = task_func(data)\\n    >>> ax\\n    <Axes: >\\n    >>> modified_df\\n       a  b\\n    0  1  4\\n    1  2  5\\n    2  3  6\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Remove a column from a data dictionary if it exists, and then plot the remaining data if it contains numeric data.\\nThe function should output with:\\n    df (pd.DataFrame): The modified DataFrame after removing the specified column.\\n    ax (matplotlib.axes._axes.Axes or None): The plot of the modified DataFrame if there's\\n    numeric data to plot, otherwise None.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport numpy as np\\ndef task_func(data, column=\\\"c\\\"):\\n```\",\"libs\":\"['pandas', 'numpy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}