{"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":"b363af6f-409a-5380-a097-1b9d891cb154","task_key":"default--v0~2e1~2e0~5fhf--b363af6f-409a-5380-a097-1b9d891cb154","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf b363af6f-409a-5380-a097-1b9d891cb154","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport numpy as np\\n# Constants\\nCOLUMNS = ['Column1', 'Column2', 'Column3', 'Column4', 'Column5']\\ndef task_func(length):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport numpy as np\\n\\n# Constants\\nCOLUMNS = ['Column1', 'Column2', 'Column3', 'Column4', 'Column5']\\n\\ndef task_func(length):\\n    \\\"\\\"\\\"\\n    Generate a Pandas DataFrame with specified length and random data and then record the data.\\n\\n    Parameters:\\n    length (int): The length of the DataFrame to be generated.\\n\\n    Returns:\\n    DataFrame: A pandas DataFrame with random data.\\n\\n    Requirements:\\n    - pandas\\n    - numpy\\n\\n    Example:\\n    >>> np.random.seed(0)\\n    >>> df = task_func(5)\\n    >>> df.shape\\n    (5, 5)\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a Pandas DataFrame with specified length and random data and then record the data.\\nThe function should output with:\\n    DataFrame: A pandas DataFrame with random data.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport numpy as np\\n# Constants\\nCOLUMNS = ['Column1', 'Column2', 'Column3', 'Column4', 'Column5']\\ndef task_func(length):\\n```\",\"libs\":\"['pandas', 'numpy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}