{"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":"72634d56-ab3a-5e40-b964-9a695436597a","task_key":"default--v0~2e1~2e0~5fhf--72634d56-ab3a-5e40-b964-9a695436597a","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 72634d56-ab3a-5e40-b964-9a695436597a","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import re\\nfrom nltk.stem import PorterStemmer\\ndef task_func(text_series):\\n\",\"complete_prompt\":\"import re\\nfrom nltk.stem import PorterStemmer\\n\\ndef task_func(text_series):\\n    \\\"\\\"\\\"\\n    Process a pandas Series of text data by lowercasing all letters, removing non-alphanumeric \\n    characters (except spaces), removing punctuation, and stemming each word to its root form.\\n    \\n    Stemming is done using the NLTK's PorterStemmer, which applies a series of rules to find the stem of each word.\\n    \\n    Parameters:\\n    - text_series (pandas.Series): A Series object containing string entries representing text data.\\n\\n    Requirements:\\n    - re\\n    - nltk\\n\\n    Returns:\\n    - pandas.Series: A Series where each string has been processed to remove non-alphanumeric characters,\\n      punctuation, converted to lowercase, and where each word has been stemmed.\\n    \\n    Examples:\\n    >>> input_series = pd.Series([\\\"This is a sample text.\\\", \\\"Another example!\\\"])\\n    >>> output_series = task_func(input_series)\\n    >>> print(output_series.iloc[0])\\n    thi is a sampl text\\n    >>> print(output_series.iloc[1])\\n    anoth exampl\\n\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Process a pandas Series of text data by lowercasing all letters, removing non-alphanumeric characters (except spaces), removing punctuation, and stemming each word to its root form. Stemming is done using the NLTK's PorterStemmer, which applies a series of rules to find the stem of each word.\\nThe function should output with:\\n    pandas.Series: A Series where each string has been processed to remove non-alphanumeric characters,\\n    punctuation, converted to lowercase, and where each word has been stemmed.\\nYou should write self-contained code starting with:\\n```\\nimport re\\nfrom nltk.stem import PorterStemmer\\ndef task_func(text_series):\\n```\",\"libs\":\"['nltk', 're']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}