{"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":"aff9d1ef-b239-5008-8864-6fe15e2dbdb0","task_key":"default--v0~2e1~2e0~5fhf--aff9d1ef-b239-5008-8864-6fe15e2dbdb0","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf aff9d1ef-b239-5008-8864-6fe15e2dbdb0","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import itertools\\nimport math\\nfrom pandas import Series\\ndef task_func(elements, subset_size, top_n=2):\\n\",\"complete_prompt\":\"import itertools\\nimport math\\nfrom pandas import Series\\n\\n\\ndef task_func(elements, subset_size, top_n=2):\\n    \\\"\\\"\\\"\\n    Generate all subsets of a given size from a tuple and calculate the product of the sums of the subsets. Additionally, \\n    return the top_n sums of the subsets. If the subset size is larger than the tuple length, return 1. If the subset size is 0,\\n    return 1.\\n\\n    Parameters:\\n    - elements (tuple): A tuple of elements to create subsets from.\\n    - subset_size (int): The size of the subsets to be generated.\\n    - top_n (int, Optional): The number of top subsets to return. Defaults to None.\\n\\n    Returns:\\n    int: The product of the sums of the subsets.\\n    list: The top_n sums of the subsets as a pandas Series.\\n\\n\\n    Requirements:\\n    - itertools\\n    - math\\n    \\n    Example:\\n    >>> prod, sums = task_func((1, 2, 3), 2)\\n    >>> prod\\n    60\\n    >>> list(sums)\\n    [5, 4]\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate all subsets of a given size from a tuple and calculate the product of the sums of the subsets. Additionally, return the top_n sums of the subsets. If the subset size is larger than the tuple length, return 1. If the subset size is 0, return 1.\\nThe function should output with:\\n    int: The product of the sums of the subsets.\\n    list: The top_n sums of the subsets as a pandas Series.\\nYou should write self-contained code starting with:\\n```\\nimport itertools\\nimport math\\nfrom pandas import Series\\ndef task_func(elements, subset_size, top_n=2):\\n```\",\"libs\":\"['math', 'pandas', 'itertools']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}