{"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":"58c2c161-96b0-591b-9a75-5f1aa8974a16","task_key":"default--v0~2e1~2e0~5fhf--58c2c161-96b0-591b-9a75-5f1aa8974a16","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 58c2c161-96b0-591b-9a75-5f1aa8974a16","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import re\\nfrom nltk import word_tokenize\\nfrom collections import Counter\\ndef task_func(input_str):\\n\",\"complete_prompt\":\"import re\\nfrom nltk import word_tokenize\\nfrom collections import Counter\\n\\ndef task_func(input_str):\\n    \\\"\\\"\\\"\\n    Remove all special characters, punctuation marks and spaces from a string called \\\"input _ str\\\" using regex and then count the frequency of each word.\\n\\n    Parameters:\\n    input_str (str): The input string.\\n\\n    Returns:\\n    dict: A dictionary with the frequency of each word.\\n\\n    Requirements:\\n    - re\\n    - nltk.word_tokenize\\n    - collections.Counter\\n\\n    Example:\\n    >>> task_func('Special $#! characters   spaces 888323')\\n    Counter({'Special': 1, 'characters': 1, 'spaces': 1, '888323': 1})\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Remove all special characters, punctuation marks and spaces from a string called \\\"input _ str\\\" using regex and then count the frequency of each word.\\nThe function should output with:\\n    dict: A dictionary with the frequency of each word.\\nYou should write self-contained code starting with:\\n```\\nimport re\\nfrom nltk import word_tokenize\\nfrom collections import Counter\\ndef task_func(input_str):\\n```\",\"libs\":\"['nltk', 'collections', 're']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}