{"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":"1add46d6-c6ba-55e7-9f3c-328ca7710e0f","task_key":"default--v0~2e1~2e0~5fhf--1add46d6-c6ba-55e7-9f3c-328ca7710e0f","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 1add46d6-c6ba-55e7-9f3c-328ca7710e0f","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import os\\nimport re\\nimport pandas as pd\\ndef task_func(pattern: str, directory: str, output_csv: str) -> pd.DataFrame:\\n\",\"complete_prompt\":\"import os\\nimport re\\nimport pandas as pd\\n\\n\\ndef task_func(pattern: str, directory: str, output_csv: str) -> pd.DataFrame:\\n    \\\"\\\"\\\"\\n    Searches for files in the specified directory that match a given regex pattern.\\n    This function walks through the directory, matches filenames against the pattern,\\n    and saves the matched file paths to a CSV file. It returns a DataFrame of these paths\\n    with colomn 'File Path'.\\n\\n    Parameters:\\n    - pattern (str): Regex pattern to match filenames.\\n    - directory (str): Directory to search for files.\\n    - output_csv (str): CSV file path to save matched file paths.\\n\\n    Returns:\\n    - pd.DataFrame: DataFrame with a single column 'File Path' of matched paths.\\n\\n    Requirements:\\n    - re\\n    - pandas\\n    - os\\n\\n    Example:\\n    >>> df = task_func(\\\".*\\\\.txt$\\\", \\\"/path/to/search\\\", \\\"matched_files.csv\\\")\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Searches for files in the specified directory that match a given regex pattern. This function walks through the directory, matches filenames against the pattern, and saves the matched file paths to a CSV file. It returns a DataFrame of these paths with colomn 'File Path'.\\nThe function should output with:\\n    pd.DataFrame: DataFrame with a single column 'File Path' of matched paths.\\nYou should write self-contained code starting with:\\n```\\nimport os\\nimport re\\nimport pandas as pd\\ndef task_func(pattern: str, directory: str, output_csv: str) -> pd.DataFrame:\\n```\",\"libs\":\"['pandas', 're', 'os']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}