{"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":"5f3ceaaf-afe2-5ff6-b165-74595984b675","task_key":"default--v0~2e1~2e0~5fhf--5f3ceaaf-afe2-5ff6-b165-74595984b675","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 5f3ceaaf-afe2-5ff6-b165-74595984b675","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import re\\nfrom collections import Counter\\nfrom nltk.corpus import stopwords\\ndef task_func(text: str) -> dict:\\n\",\"complete_prompt\":\"import re\\nfrom collections import Counter\\nfrom nltk.corpus import stopwords\\n\\n\\ndef task_func(text: str) -> dict:\\n    \\\"\\\"\\\"\\n    Count the number of non-stop words in a given text.\\n    \\n    Parameters:\\n    - text (str): The input text for word counting.\\n    \\n    Returns:\\n    dict: A dictionary with the words (as keys) and their counts (as values).\\n    \\n    Requirements:\\n    - re\\n    - collections.Counter\\n    \\n    Example:\\n    >>> count = task_func(\\\"This is a sample text. Some words are repeated.\\\")\\n    >>> print(count)\\n    {'sample': 1, 'text': 1, 'words': 1, 'repeated': 1}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Count the number of non-stop words in a given text.\\nThe function should output with:\\n    dict: A dictionary with the words (as keys) and their counts (as values).\\nYou should write self-contained code starting with:\\n```\\nimport re\\nfrom collections import Counter\\nfrom nltk.corpus import stopwords\\ndef task_func(text: str) -> dict:\\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":[]}