{"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":"1ef6deef-e208-5a08-8526-4b32c5e71e39","task_key":"default--v0~2e1~2e0~5fhf--1ef6deef-e208-5a08-8526-4b32c5e71e39","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 1ef6deef-e208-5a08-8526-4b32c5e71e39","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(df):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(df):\\n    \\\"\\\"\\\"\\n    Draw a bar chart of the counts of each unique value in the 'value' column of a pandas DataFrame and return the Axes object.\\n    Empty DataFrame will return an empty bar chart.\\n    \\n    Parameters:\\n    df (DataFrame): The pandas DataFrame with columns ['id', 'value'].\\n\\n    Returns:\\n    Axes: The matplotlib Axes object of the bar chart.\\n\\n    Raises:\\n    - The function will raise a ValueError is input df is not a DataFrame.\\n\\n    Note:\\n    - This function use \\\"Value Distribution\\\" for the plot title.\\n    - This function use \\\"Value\\\" and \\\"Count\\\" as the xlabel and ylabel respectively.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> df = pd.DataFrame({'id': [1, 1, 2, 2, 3, 3],'value': ['A', 'B', 'A', 'B', 'A', 'B']})\\n    >>> ax = task_func(df)\\n    >>> len(ax.patches)\\n    2\\n    >>> plt.close()\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Draw a bar chart of the counts of each unique value in the 'value' column of a pandas DataFrame and return the Axes object. Empty DataFrame will return an empty bar chart.\\nNote that: This function use \\\"Value Distribution\\\" for the plot title. This function use \\\"Value\\\" and \\\"Count\\\" as the xlabel and ylabel respectively.\\nThe function should raise the exception for: The function will raise a ValueError is input df is not a DataFrame.\\nThe function should output with:\\n    Axes: The matplotlib Axes object of the bar chart.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(df):\\n```\",\"libs\":\"['pandas', 'matplotlib']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}