{"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":"7034aa2e-a796-588b-8cbf-de18e3b61cd6","task_key":"default--v0~2e1~2e0~5fhf--7034aa2e-a796-588b-8cbf-de18e3b61cd6","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 7034aa2e-a796-588b-8cbf-de18e3b61cd6","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nimport itertools\\nimport json\\ndef task_func(data_list, json_file_name=\\\"mean_values.json\\\"):\\n\",\"complete_prompt\":\"import numpy as np\\nimport itertools\\nimport json\\n\\n\\ndef task_func(data_list, json_file_name=\\\"mean_values.json\\\"):\\n    \\\"\\\"\\\"\\n    Calculate the mean of the numeric values for each position in the provided data list \\n    and return the results. Optionally, the results can be exported to a specified JSON file.\\n    \\n    Parameters:\\n    - data_list (list of tuples): List of data tuples where each tuple contains a string followed by numeric values.\\n    - json_file_name (str, optional): Name of the JSON file to export the results. Defaults to 'mean_values.json'.\\n\\n    Requirements:\\n    - numpy\\n    - itertools\\n    - json\\n\\n    Returns:\\n    - dict: A dictionary with keys in the format 'Position {i}' and values being the mean of the numeric values \\n            at position i in the provided data list.\\n\\n    Example:\\n    >>> import tempfile\\n    >>> json_file = tempfile.NamedTemporaryFile(delete=False)\\n    >>> task_func([('a', 1, 2), ('b', 2, 3), ('c', 3, 4), ('d', 4, 5), ('e', 5, 6)], json_file.name)\\n    {'Position 1': 3.0, 'Position 2': 4.0}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Calculate the mean of the numeric values for each position in the provided data list and return the results. Optionally, the results can be exported to a specified JSON file.\\nThe function should output with:\\n    dict: A dictionary with keys in the format 'Position {i}' and values being the mean of the numeric values\\n    at position i in the provided data list.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nimport itertools\\nimport json\\ndef task_func(data_list, json_file_name=\\\"mean_values.json\\\"):\\n```\",\"libs\":\"['numpy', 'itertools', 'json']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}