{"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":"01444319-d5b7-52b3-9864-f138d2406338","task_key":"default--v0~2e1~2e0~5fhf--01444319-d5b7-52b3-9864-f138d2406338","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 01444319-d5b7-52b3-9864-f138d2406338","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from collections import Counter\\nimport matplotlib.pyplot as plt\\nimport pandas as pd\\nimport seaborn as sns\\ndef task_func(list_of_menuitems):\\n\",\"complete_prompt\":\"from collections import Counter\\nimport matplotlib.pyplot as plt\\nimport pandas as pd\\nimport seaborn as sns\\n\\n\\ndef task_func(list_of_menuitems):\\n    \\\"\\\"\\\"\\n    Given a nested list of menu items, this function flattens the list and visualizes the frequency\\n    of each menu item using a seaborn barplot.\\n\\n    Parameters:\\n        list_of_menuitems (list): A nested list of menu items.\\n\\n    Returns:\\n        matplotlib.axes.Axes: An Axes object representing the visualization, or None if there are no items to plot.\\n\\n    Requirements:\\n        - collections\\n        - seaborn\\n        - pandas\\n        - matplotlib\\n\\n    Example:\\n        >>> ax = task_func([['Pizza', 'Burger'], ['Pizza', 'Coke'], ['Pasta', 'Coke']])\\n        >>> isinstance(ax, matplotlib.axes.Axes)\\n        True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Given a nested list of menu items, this function flattens the list and visualizes the frequency of each menu item using a seaborn barplot.\\nThe function should output with:\\n    matplotlib.axes.Axes: An Axes object representing the visualization, or None if there are no items to plot.\\nYou should write self-contained code starting with:\\n```\\nfrom collections import Counter\\nimport matplotlib.pyplot as plt\\nimport pandas as pd\\nimport seaborn as sns\\ndef task_func(list_of_menuitems):\\n```\",\"libs\":\"['pandas', 'collections', 'matplotlib', 'seaborn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}