{"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":"5f3c167f-cf69-51ee-9c94-3f2264f22670","task_key":"default--v0~2e1~2e0~5fhf--5f3c167f-cf69-51ee-9c94-3f2264f22670","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 5f3c167f-cf69-51ee-9c94-3f2264f22670","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import StandardScaler\\ndef task_func(df):\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import StandardScaler\\n\\ndef task_func(df):\\n    \\\"\\\"\\\"\\n    Given a Pandas DataFrame with random numeric values, standardize it with the standard scaler from sklearn.\\n\\n    Parameters:\\n    - df (DataFrame): The DataFrame to be standardized.\\n    \\n    Returns:\\n    - df_standardized (DataFrame): The standardized DataFrame.\\n\\n    Requirements:\\n    - pandas\\n    - sklearn\\n\\n    Example:\\n    >>> df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})\\n    >>> task_func(df)\\n              a         b\\n    0 -1.224745 -1.224745\\n    1  0.000000  0.000000\\n    2  1.224745  1.224745\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Given a Pandas DataFrame with random numeric values, standardize it with the standard scaler from sklearn.\\nThe function should output with:\\n    df_standardized (DataFrame): The standardized DataFrame.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom sklearn.preprocessing import StandardScaler\\ndef task_func(df):\\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":[]}