{"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":"1dcad973-8098-503a-8126-f8c8fa0786be","task_key":"default--v0~2e1~2e0~5fhf--1dcad973-8098-503a-8126-f8c8fa0786be","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 1dcad973-8098-503a-8126-f8c8fa0786be","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(data_dict):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(data_dict):\\n    \\\"\\\"\\\"\\n    Generates histograms for each column in the given DataFrame and checks if the value distributions\\n    are uniform. It prints a message for each non-uniform distribution.\\n\\n    Parameters:\\n    df (pd.DataFrame): The DataFrame to be analyzed.\\n\\n    Returns:\\n    List[plt.Axes]: A list of matplotlib Axes objects, each representing the histogram for a column.\\n    \\n    Requirements:\\n    - pandas\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> data = {'Category1': ['A', 'A', 'B', 'B', 'B', 'C', 'C', 'C', 'C', 'D', 'E', 'E'],\\n    ...                    'Category2': ['X', 'Y', 'Y', 'Z', 'Z', 'Z', 'Z', 'W', 'W', 'W', 'W', 'W']}\\n    >>> axes = task_func(data)\\n    The distribution of values in column 'Category1' is not uniform.\\n    The distribution of values in column 'Category2' is not uniform.\\n    >>> [ax.get_title() for ax in axes]\\n    ['Category1', 'Category2']\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generates histograms for each column in the given DataFrame and checks if the value distributions are uniform. It prints a message for each non-uniform distribution.\\nThe function should output with:\\n    List[plt.Axes]: A list of matplotlib Axes objects, each representing the histogram for a column.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(data_dict):\\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":[]}