{"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":"14aa29f5-245c-5e82-9015-6bcef07b4209","task_key":"default--v0~2e1~2e0~5fhf--14aa29f5-245c-5e82-9015-6bcef07b4209","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 14aa29f5-245c-5e82-9015-6bcef07b4209","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import StandardScaler\\ndef task_func(tuples_list, columns):\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import StandardScaler\\n\\n\\ndef task_func(tuples_list, columns):\\n    \\\"\\\"\\\"\\n    Convert a list of tuples into a Pandas DataFrame, perform a default scaling in each column, and return the transformed DataFrame.\\n    \\n    Parameters:\\n    - tuples_list (list): The list of tuples.\\n    - columns (list): The list of column names.\\n    \\n    Returns:\\n    - df_scaled (DataFrame): A pandas DataFrame containing the scaled versions of the original data.\\n\\n    Requirements:\\n    - pandas\\n    - sklearn\\n    \\n    Example:\\n    >>> df = task_func([(1, 2, 3, 4), (5, 6, 7, 8), (9, 10, 11, 12)], ['A', 'B', 'C', 'D'])\\n    >>> print(df)\\n              A         B         C         D\\n    0 -1.224745 -1.224745 -1.224745 -1.224745\\n    1  0.000000  0.000000  0.000000  0.000000\\n    2  1.224745  1.224745  1.224745  1.224745\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Convert a list of tuples into a Pandas DataFrame, perform a default scaling in each column, and return the transformed DataFrame.\\nThe function should output with:\\n    df_scaled (DataFrame): A pandas DataFrame containing the scaled versions of the original data.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom sklearn.preprocessing import StandardScaler\\ndef task_func(tuples_list, columns):\\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":[]}