{"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":"770b9150-7cfe-5f35-b993-c11735427bb3","task_key":"default--v0~2e1~2e0~5fhf--770b9150-7cfe-5f35-b993-c11735427bb3","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 770b9150-7cfe-5f35-b993-c11735427bb3","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport os\\nOUTPUT_DIR = './output'\\ndef task_func(df, filename, output_dir=OUTPUT_DIR):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport os\\nOUTPUT_DIR = './output'\\n\\n\\ndef task_func(df, filename, output_dir=OUTPUT_DIR):\\n    \\\"\\\"\\\"\\n    Save a Pandas DataFrame to a JSON file in a specified directory.\\n    \\n    Parameters:\\n    - df (DataFrame): A Pandas DataFrame to be saved.\\n    - filename (str): The filename of the JSON file where the DataFrame will be saved.\\n    - output_dir (str, optional): the ouput directory.\\n    \\n    Returns:\\n    str: The full file path where the DataFrame is saved.\\n    \\n    Requirements:\\n    - os\\n    - pandas\\n\\n    Note:\\n    - The function manipulates a Pandas DataFrame and saves it as a JSON file.\\n\\n    Example:\\n    >>> df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})\\n    >>> 'data.json' in task_func(df, 'data.json')\\n    True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Save a Pandas DataFrame to a JSON file in a specified directory.\\nNote that: The function manipulates a Pandas DataFrame and saves it as a JSON file.\\nThe function should output with:\\n    str: The full file path where the DataFrame is saved.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport os\\nOUTPUT_DIR = './output'\\ndef task_func(df, filename, output_dir=OUTPUT_DIR):\\n```\",\"libs\":\"['pandas', 'os']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}