{"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":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"79a4037b-db59-5cbf-89c0-a10e27b1fed9","task_key":"default--v0~2e1~2e0~5fhf--79a4037b-db59-5cbf-89c0-a10e27b1fed9","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 79a4037b-db59-5cbf-89c0-a10e27b1fed9","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(car_dict):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(car_dict):\\n    \\\"\\\"\\\"\\n    With a dictionary of cars as keys and their colors as values, create a DataFrame and visualize the distribution of vehicle colors in a bar chart.\\n    - The columns of the dataframe should be 'Car' and 'Color'.\\n    - The plot title should be 'Distribution of Vehicle Colors'.\\n\\n    Parameters:\\n    car_dict (dict): The dictionary with car brands as keys and their colors as values.\\n\\n    Returns:\\n    tuple: A tuple containing:\\n        - DataFrame: A pandas DataFrame with car brands and their colors.\\n        - Axes: The Axes object of the bar chart visualizing the distribution of vehicle colors.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib\\n\\n    Example:\\n    >>> car_dict = {'Ford': 'Red', 'Toyota': 'Blue', 'Mercedes': 'Black', 'Tesla': 'White', 'BMW': 'Silver'}\\n    >>> df, ax = task_func(car_dict)\\n    >>> print(df)\\n            Car   Color\\n    0      Ford     Red\\n    1    Toyota    Blue\\n    2  Mercedes   Black\\n    3     Tesla   White\\n    4       BMW  Silver\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"With a dictionary of cars as keys and their colors as values, create a DataFrame and visualize the distribution of vehicle colors in a bar chart. - The columns of the dataframe should be 'Car' and 'Color'. - The plot title should be 'Distribution of Vehicle Colors'.\\nThe function should output with:\\n    tuple: A tuple containing:\\n    DataFrame: A pandas DataFrame with car brands and their colors.\\n    Axes: The Axes object of the bar chart visualizing the distribution of vehicle colors.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(car_dict):\\n```\",\"libs\":\"['pandas', 'matplotlib']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}