{"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":"23435700-b6af-50ad-a47d-eddf87c451d8","task_key":"default--v0~2e1~2e0~5fhf--23435700-b6af-50ad-a47d-eddf87c451d8","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 23435700-b6af-50ad-a47d-eddf87c451d8","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport re\\n# Function to replace acronyms in DataFrame\\ndef task_func(data, mapping):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport re\\n\\n# Function to replace acronyms in DataFrame\\ndef task_func(data, mapping):\\n    \\\"\\\"\\\"\\n    Replace all acronyms in a DataFrame with their full words according to a provided dictionary.\\n    \\n    Requirements:\\n    - pandas\\n    - re\\n\\n    Parameters:\\n    - data (dict): A dictionary where keys are column names and values are lists of strings.\\n    - mapping (dict): A dictionary where keys are acronyms and values are the full words.\\n    \\n    Returns:\\n    - pd.DataFrame: A DataFrame where all acronyms in string cells have been replaced with their full words.\\n    \\n    Examples:\\n    >>> data = {'text': ['NASA is great', 'I live in the USA']}\\n    >>> mapping = {'NASA': 'National Aeronautics and Space Administration', 'USA': 'United States of America'}\\n    >>> print(task_func(data, mapping))\\n                                                    text\\n    0  National Aeronautics and Space Administration ...\\n    1             I live in the United States of America\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Replace all acronyms in a DataFrame with their full words according to a provided dictionary.\\nThe function should output with:\\n    pd.DataFrame: A DataFrame where all acronyms in string cells have been replaced with their full words.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport re\\n# Function to replace acronyms in DataFrame\\ndef task_func(data, mapping):\\n```\",\"libs\":\"['pandas', 're']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}