{"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":"20049650-6774-5bfc-adf3-88d1f3729ea8","task_key":"default--v0~2e1~2e0~5fhf--20049650-6774-5bfc-adf3-88d1f3729ea8","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 20049650-6774-5bfc-adf3-88d1f3729ea8","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import random\\nfrom collections import Counter\\ndef task_func(values, weights, n_samples):\\n\",\"complete_prompt\":\"import random\\nfrom collections import Counter\\n\\ndef task_func(values, weights, n_samples):\\n    \\\"\\\"\\\"\\n    Sample random numbers based on a given weighted distribution and return a histogram of the samples.\\n\\n    Parameters:\\n    - values (list): List of values to be sampled from.\\n    - weights (list): List of weights corresponding to the values.\\n    - n_samples (int): Number of samples to be drawn.\\n\\n    Returns:\\n    - histogram (dict): A histogram as a dictionary with the values as keys and counts as values.\\n\\n    Requirements:\\n    - collections.Counter\\n    - random\\n\\n    Example:\\n    >>> random.seed(42)\\n    >>> task_func([1, 2, 3], [3, 2, 1], 1000)\\n    {2: 342, 1: 480, 3: 178}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Sample random numbers based on a given weighted distribution and return a histogram of the samples.\\nThe function should output with:\\n    histogram (dict): A histogram as a dictionary with the values as keys and counts as values.\\nYou should write self-contained code starting with:\\n```\\nimport random\\nfrom collections import Counter\\ndef task_func(values, weights, n_samples):\\n```\",\"libs\":\"['collections', 'random']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}