{"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":"1e4572d4-9d11-5886-94e7-37f76b6a35d9","task_key":"default--v0~2e1~2e0~5fhf--1e4572d4-9d11-5886-94e7-37f76b6a35d9","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 1e4572d4-9d11-5886-94e7-37f76b6a35d9","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import nltk\\n# Download necessary NLTK data (if not already present)\\nnltk.download('punkt')\\nnltk.download('averaged_perceptron_tagger')\\nfrom collections import Counter\\ndef task_func(content):\\n\",\"complete_prompt\":\"import nltk\\n\\n# Download necessary NLTK data (if not already present)\\nnltk.download('punkt')\\nnltk.download('averaged_perceptron_tagger')\\n\\nfrom collections import Counter\\n\\ndef task_func(content):\\n    \\\"\\\"\\\"\\n    Count the Part-of-Speech (POS) tags in a sentence without the last word.\\n\\n    Parameters:\\n    - content (str): The sentence to count POS tags from.\\n\\n    Returns:\\n    - dict: A dictionary with POS tags as keys and their count as values.\\n\\n    Requirements:\\n    - nltk\\n    - collections.Counter\\n\\n    Example:\\n    >>> task_func('this is an example content')\\n    {'DT': 2, 'VBZ': 1, 'NN': 1}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Count the Part-of-Speech (POS) tags in a sentence without the last word.\\nThe function should output with:\\n    dict: A dictionary with POS tags as keys and their count as values.\\nYou should write self-contained code starting with:\\n```\\nimport nltk\\n# Download necessary NLTK data (if not already present)\\nnltk.download('punkt')\\nnltk.download('averaged_perceptron_tagger')\\nfrom collections import Counter\\ndef task_func(content):\\n```\",\"libs\":\"['nltk', 'collections']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}