{"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":"5b61b2eb-534e-5b4a-9894-4e9d22ccc539","task_key":"default--v0~2e1~2e0~5fhf--5b61b2eb-534e-5b4a-9894-4e9d22ccc539","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 5b61b2eb-534e-5b4a-9894-4e9d22ccc539","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from sklearn.preprocessing import MinMaxScaler\\nimport pandas as pd\\ndef task_func(l):\\n\",\"complete_prompt\":\"from sklearn.preprocessing import MinMaxScaler\\nimport pandas as pd\\n\\ndef task_func(l):\\n    \\\"\\\"\\\"\\n    Scale the input field to the range [0, 1] and display it as a DataFrame.\\n\\n    Parameters:\\n    l (numpy array): The input array.\\n\\n    Returns:\\n    DataFrame: A pandas DataFrame of the scaled array.\\n\\n    Requirements:\\n    - numpy\\n    - sklearn.preprocessing\\n    - pandas\\n\\n    Note:\\n    - The return DataFrame use 'Scaled Values' as the column name.\\n\\n    Example:\\n    >>> import numpy as np\\n    >>> l = np.array([10, 20, 30, 40, 50])\\n    >>> df = task_func(l)\\n    >>> print(int(df.iloc[0]['Scaled Values']))\\n    0\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Scale the input field to the range [0, 1] and display it as a DataFrame.\\nNote that: The return DataFrame use 'Scaled Values' as the column name.\\nThe function should output with:\\n    DataFrame: A pandas DataFrame of the scaled array.\\nYou should write self-contained code starting with:\\n```\\nfrom sklearn.preprocessing import MinMaxScaler\\nimport pandas as pd\\ndef task_func(l):\\n```\",\"libs\":\"['pandas', 'sklearn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}