{"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":"30b7947b-f00f-5729-b9f6-f012ab3f4b8b","task_key":"default--v0~2e1~2e0~5fhf--30b7947b-f00f-5729-b9f6-f012ab3f4b8b","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 30b7947b-f00f-5729-b9f6-f012ab3f4b8b","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import random\\nimport matplotlib.pyplot as plt\\n# Constants\\nDISTRIBUTION_SIZE = 1000\\ndef task_func(bins=30):\\n\",\"complete_prompt\":\"import random\\nimport matplotlib.pyplot as plt\\n\\n# Constants\\nDISTRIBUTION_SIZE = 1000\\n\\ndef task_func(bins=30):\\n    \\\"\\\"\\\"\\n    Generate a Gaussian distribution and plot its histogram.\\n\\n    Parameters:\\n    - bins (int, optional): Number of bins for the histogram. Default is 30.\\n\\n    Returns:\\n    - tuple: A tuple containing the distribution list and the Axes patch object of the histogram plot.\\n\\n    Requirements:\\n    - random\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> random.seed(0)\\n    >>> distribution, ax = task_func()\\n    >>> len(ax.patches) == 30\\n    True\\n    >>> len(distribution)\\n    1000\\n    >>> plt.close()\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a Gaussian distribution and plot its histogram.\\nThe function should output with:\\n    tuple: A tuple containing the distribution list and the Axes patch object of the histogram plot.\\nYou should write self-contained code starting with:\\n```\\nimport random\\nimport matplotlib.pyplot as plt\\n# Constants\\nDISTRIBUTION_SIZE = 1000\\ndef task_func(bins=30):\\n```\",\"libs\":\"['random', 'matplotlib']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}