{"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":"6c2db582-eee7-5904-8f27-891514d1e65b","task_key":"default--v0~2e1~2e0~5fhf--6c2db582-eee7-5904-8f27-891514d1e65b","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 6c2db582-eee7-5904-8f27-891514d1e65b","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nimport random\\nfrom scipy import stats\\ndef task_func(list_of_lists, size=5, seed=0):\\n\",\"complete_prompt\":\"import numpy as np\\nimport random\\nfrom scipy import stats\\n\\n\\ndef task_func(list_of_lists, size=5, seed=0):\\n    \\\"\\\"\\\"\\n    Calculate the mean, median, and mode of values in a list of lists.\\n    If a list is empty, fill it with SIZE (default: 5) random integers between 0 and 100, \\n    and then calculate the statistics.\\n    \\n    Parameters:\\n    list_of_lists (list): The list of lists.\\n    size (int, Optional): The number of random integers to generate. Default is 5.\\n    seed (int, Optional): Seed value for random number generation. Default is 0.\\n    \\n    Returns:\\n    dict: A dictionary with the mean, median, and mode of the values.\\n    \\n    Requirements:\\n    - numpy\\n    - random\\n    - scipy.stats\\n    \\n    Example:\\n    >>> task_func([[1, 2, 3], [], [4, 5, 6]])\\n    {'mean': 23.454545454545453, 'median': 5.0, 'mode': array([5])}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Calculate the mean, median, and mode of values in a list of lists. If a list is empty, fill it with SIZE (default: 5) random integers between 0 and 100, and then calculate the statistics.\\nThe function should output with:\\n    dict: A dictionary with the mean, median, and mode of the values.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nimport random\\nfrom scipy import stats\\ndef task_func(list_of_lists, size=5, seed=0):\\n```\",\"libs\":\"['random', 'numpy', 'scipy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}