{"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":"d55d8253-a664-5fe1-a2b1-0d7edce85c93","task_key":"default--v0~2e1~2e0~5fhf--d55d8253-a664-5fe1-a2b1-0d7edce85c93","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf d55d8253-a664-5fe1-a2b1-0d7edce85c93","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from collections import Counter\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport itertools\\ndef task_func(list_of_menuitems, title=\\\"Menu Distribution\\\", color=\\\"blue\\\", width=1.0):\\n\",\"complete_prompt\":\"from collections import Counter\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport itertools\\n\\ndef task_func(list_of_menuitems, title=\\\"Menu Distribution\\\", color=\\\"blue\\\", width=1.0):\\n    \\\"\\\"\\\"\\n    Given a nested list of menu items, flatten the list using itertool chain, count the occurrences of each item, then\\n    plot a histogram with an alphabetically sorted x-axis labeled as \\\"Menu Items\\\" and y-axis as \\\"Frequency\\\".\\n\\n    Parameters:\\n    - list_of_menuitems (list): A non-empty nested list of menu items. Each element is a list of menu item strings.\\n    - title (str, optional): The title of the histogram plot. Default is \\\"Menu Distribution\\\".\\n    - color (str, optional): The color of the bars in the histogram. Default is \\\"blue\\\".\\n    - width (float, optional): The width of the bars in the histogram. Default is 1.0.\\n\\n    Returns:\\n    - ax (object): An Axes object representing the histogram plot.\\n\\n    Requirements:\\n    - collections.Counter\\n    - numpy\\n    - matplotlib.pyplot\\n    - itertools\\n\\n    Example:\\n    >>> task_func([['Pizza', 'Burger'], ['Pizza', 'Coke'], ['Pasta', 'Coke']])\\n    <Axes: title={'center': 'Menu Distribution'}, xlabel='Menu Items', ylabel='Frequency'>\\n    >>> task_func(['Burger'], title='A Title', color='red', width=5.0)\\n    <Axes: title={'center': 'A Title'}, xlabel='Menu Items', ylabel='Frequency'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Given a nested list of menu items, flatten the list using itertool chain, count the occurrences of each item, then plot a histogram with an alphabetically sorted x-axis labeled as \\\"Menu Items\\\" and y-axis as \\\"Frequency\\\".\\nThe function should output with:\\n    ax (object): An Axes object representing the histogram plot.\\nYou should write self-contained code starting with:\\n```\\nfrom collections import Counter\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport itertools\\ndef task_func(list_of_menuitems, title=\\\"Menu Distribution\\\", color=\\\"blue\\\", width=1.0):\\n```\",\"libs\":\"['matplotlib', 'collections', 'numpy', 'itertools']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}