{"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":"796a3242-6613-5243-a4ad-8a56f6086e9c","task_key":"default--v0~2e1~2e0~5fhf--796a3242-6613-5243-a4ad-8a56f6086e9c","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 796a3242-6613-5243-a4ad-8a56f6086e9c","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import seaborn as sns\\nimport matplotlib.pyplot as plt\\nimport random\\ndef task_func(list_of_lists, seed=0):\\n\",\"complete_prompt\":\"import seaborn as sns\\nimport matplotlib.pyplot as plt\\nimport random\\n\\n\\ndef task_func(list_of_lists, seed=0):\\n    \\\"\\\"\\\"\\n    Create a histogram from the data in a list of lists. If any sublist is empty, \\n    it will be filled with 5 random integers ranging from 0 to 100 (both inclusive)\\n    The histogram will then be constructed using the combined data from all sublists.\\n    \\n    Parameters:\\n    list_of_lists (list): A list containing multiple sublists with integers.\\n    seed (int, Optional): Seed value for random number generation. Default is 0.\\n    \\n    Returns:\\n    matplotlib.axes._axes.Axes: The histogram plot object.\\n    \\n    Requirements:\\n    - random\\n    - seaborn\\n    - matplotlib.pyplot\\n    \\n    Example:\\n    >>> plot = task_func([[1, 2, 3], [], [4, 5, 6]])\\n    >>> type(plot)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Create a histogram from the data in a list of lists. If any sublist is empty, it will be filled with 5 random integers ranging from 0 to 100 (both inclusive) The histogram will then be constructed using the combined data from all sublists.\\nThe function should output with:\\n    matplotlib.axes._axes.Axes: The histogram plot object.\\nYou should write self-contained code starting with:\\n```\\nimport seaborn as sns\\nimport matplotlib.pyplot as plt\\nimport random\\ndef task_func(list_of_lists, seed=0):\\n```\",\"libs\":\"['random', 'matplotlib', 'seaborn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}