{"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":"020b62d2-34e8-5993-98da-eb5be6da51e6","task_key":"default--v0~2e1~2e0~5fhf--020b62d2-34e8-5993-98da-eb5be6da51e6","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 020b62d2-34e8-5993-98da-eb5be6da51e6","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import re\\nimport os\\nfrom pathlib import Path\\nimport csv\\ndef task_func(directory: str, pattern: str = r'^(.*?)-\\\\d+\\\\.csv$') -> list:\\n\",\"complete_prompt\":\"import re\\nimport os\\nfrom pathlib import Path\\nimport csv\\n\\ndef task_func(directory: str, pattern: str = r'^(.*?)-\\\\d+\\\\.csv$') -> list:\\n\\n    \\\"\\\"\\\"\\n    Processes CSV files in a directory based on a specified pattern and creates new files with altered names while preserving the content, you've laid out a solid foundation with your initial tests.\\n\\n    Parameters:\\n    - directory (str): The path to the directory containing the CSV files to be processed. \\n    - pattern (str, optional): A regular expression pattern that the filenames of interest should match.\\n\\n    Returns:\\n    - new_files (list): A list of strings, where each string is the filename of a new CSV file created by the function.\\n\\n    Requirements:\\n    - re\\n    - os\\n    - pathlib\\n    - csv\\n\\n    Example:\\n    >>> task_func(\\\"/mnt/data/test_data\\\")\\n    ['Shan.csv', 'Shannon.csv']\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Processes CSV files in a directory based on a specified pattern and creates new files with altered names while preserving the content, you've laid out a solid foundation with your initial tests.\\nThe function should output with:\\n    new_files (list): A list of strings, where each string is the filename of a new CSV file created by the function.\\nYou should write self-contained code starting with:\\n```\\nimport re\\nimport os\\nfrom pathlib import Path\\nimport csv\\ndef task_func(directory: str, pattern: str = r'^(.*?)-\\\\d+\\\\.csv$') -> list:\\n```\",\"libs\":\"['csv', 'pathlib', '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":[]}