{"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":"55efa6ea-144e-5e90-9400-565b1860cebf","task_key":"default--v0~2e1~2e0~5fhf--55efa6ea-144e-5e90-9400-565b1860cebf","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 55efa6ea-144e-5e90-9400-565b1860cebf","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport time\\nOUTPUT_DIR = './output'\\ndef task_func(df: pd.DataFrame, filename: str) -> str:\\n\",\"complete_prompt\":\"import pandas as pd\\nimport time\\nOUTPUT_DIR = './output'\\n\\n\\ndef task_func(df: pd.DataFrame, filename: str) -> str:\\n    \\\"\\\"\\\"\\n    Write a Pandas DataFrame into a JSON Lines file and save it in a specified directory.\\n\\n    Parameters:\\n    - df (pd.DataFrame): A Pandas DataFrame to be saved.\\n    - filename (str): The filename of the JSON Lines file to be saved.\\n\\n    Returns:\\n    - str: The full path where the JSON Lines file was saved.\\n\\n    Requirements:\\n    - pandas\\n    - time\\n\\n    Example:\\n    >>> df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})\\n    >>> 'data.jsonl' in task_func(df, 'data.jsonl')\\n    True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Write a Pandas DataFrame into a JSON Lines file and save it in a specified directory.\\nThe function should output with:\\n    str: The full path where the JSON Lines file was saved.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport time\\nOUTPUT_DIR = './output'\\ndef task_func(df: pd.DataFrame, filename: str) -> str:\\n```\",\"libs\":\"['pandas', 'time']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}