{"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":"9e7a9094-7d87-5dd8-a8b1-6a083e1c0462","task_key":"default--v0~2e1~2e0~5fhf--9e7a9094-7d87-5dd8-a8b1-6a083e1c0462","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 9e7a9094-7d87-5dd8-a8b1-6a083e1c0462","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import re\\nimport matplotlib.pyplot as plt\\nfrom nltk.probability import FreqDist\\ndef task_func(example_str, top_n=30):\\n\",\"complete_prompt\":\"import re\\nimport matplotlib.pyplot as plt\\nfrom nltk.probability import FreqDist\\n\\n\\ndef task_func(example_str, top_n=30):\\n    \\\"\\\"\\\"\\n    Extract all texts that are not enclosed in square brackets from the given string and plot \\n    a frequency distribution of the words. Also return the top_n most common words in the frequency distribution\\n    as a dictionary.\\n\\n    Parameters:\\n    - example_str (str): The input string.\\n    - top_n (int, Optional): The number of most common words to display in the frequency distribution plot. Default is 30.\\n\\n    Returns:\\n    - Axes: A matplotlib Axes object representing the frequency distribution plot.\\n    - dict: A dictionary containing the top_n most common words and their frequencies.\\n\\n    Requirements:\\n    - re\\n    - nltk.probability.FreqDist\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> ax, top_n_words = task_func(\\\"Josie Smith [3996 COLLEGE AVENUE, SOMETOWN, MD 21003] Mugsy Dog Smith [2560 OAK ST, GLENMEADE, WI 14098]\\\")\\n    >>> type(ax)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Extract all texts that are not enclosed in square brackets from the given string and plot a frequency distribution of the words. Also return the top_n most common words in the frequency distribution as a dictionary.\\nThe function should output with:\\n    Axes: A matplotlib Axes object representing the frequency distribution plot.\\n    dict: A dictionary containing the top_n most common words and their frequencies.\\nYou should write self-contained code starting with:\\n```\\nimport re\\nimport matplotlib.pyplot as plt\\nfrom nltk.probability import FreqDist\\ndef task_func(example_str, top_n=30):\\n```\",\"libs\":\"['nltk', 'matplotlib', 're']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}