{"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":"a53c5cf9-7891-5bf4-8ddd-2e051d2da12c","task_key":"default--v0~2e1~2e0~5fhf--a53c5cf9-7891-5bf4-8ddd-2e051d2da12c","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf a53c5cf9-7891-5bf4-8ddd-2e051d2da12c","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import nltk\\nimport re\\nfrom collections import Counter\\n# Constants\\nSTOPWORDS = nltk.corpus.stopwords.words('english')\\ndef task_func(text):\\n\",\"complete_prompt\":\"import nltk\\nimport re\\nfrom collections import Counter\\n\\n\\n# Constants\\nSTOPWORDS = nltk.corpus.stopwords.words('english')\\n\\ndef task_func(text):\\n    \\\"\\\"\\\"\\n    Calculate the frequency of continuous words in a text string. The function splits the text into words, \\n    converts them to lowercase, removes punctuation marks and common stopwords (provided as a constant), \\n    and then calculates the frequency of each word.\\n\\n    Parameters:\\n    text (str): The input text string.\\n\\n    Returns:\\n    dict: A dictionary with words as keys and their frequencies as values.\\n\\n    Requirements:\\n    - nltk for stopwords (ensure the stopwords dataset is downloaded using nltk.download('stopwords'))\\n    - re for regular expressions\\n    - collections.Counter for counting occurrences\\n\\n    Example:\\n    >>> task_func('This is a sample text. This text is for testing.')\\n    {'sample': 1, 'text': 2, 'testing': 1}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Calculate the frequency of continuous words in a text string. The function splits the text into words, converts them to lowercase, removes punctuation marks and common stopwords (provided as a constant), and then calculates the frequency of each word.\\nThe function should output with:\\n    dict: A dictionary with words as keys and their frequencies as values.\\nYou should write self-contained code starting with:\\n```\\nimport nltk\\nimport re\\nfrom collections import Counter\\n# Constants\\nSTOPWORDS = nltk.corpus.stopwords.words('english')\\ndef task_func(text):\\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":[]}