{"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":"ae11e5a1-9250-5046-a3b5-ad409d2e8a7f","task_key":"default--v0~2e1~2e0~5fhf--ae11e5a1-9250-5046-a3b5-ad409d2e8a7f","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf ae11e5a1-9250-5046-a3b5-ad409d2e8a7f","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport random\\n# Constants\\nCATEGORIES = ['A', 'B', 'C', 'D', 'E']\\ndef task_func(value_range=(0, 100)):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport random\\n\\n# Constants\\nCATEGORIES = ['A', 'B', 'C', 'D', 'E']\\n\\ndef task_func(value_range=(0, 100)):\\n    \\\"\\\"\\\"\\n    Generate a category distribution within a specified range and return as a DataFrame.\\n\\n    Parameters:\\n    value_range (tuple): A tuple specifying the range (min, max) for generating random values for categories.\\n    \\n    Returns:\\n    DataFrame: A pandas DataFrame that has two columns: 'Category' (category names) and 'Count' (count of each category). \\n\\n    Requirements:\\n    - pandas\\n    - random\\n\\n    Example:\\n    >>> random.seed(0)\\n    >>> df = task_func()\\n    >>> df['Count'][0] >= 0\\n    True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a category distribution within a specified range and return as a DataFrame.\\nThe function should output with:\\n    DataFrame: A pandas DataFrame that has two columns: 'Category' (category names) and 'Count' (count of each category).\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport random\\n# Constants\\nCATEGORIES = ['A', 'B', 'C', 'D', 'E']\\ndef task_func(value_range=(0, 100)):\\n```\",\"libs\":\"['pandas', 'random']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}