{"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":"85bb3637-3e15-58c7-8f5c-d57feb727bfd","task_key":"default--v0~2e1~2e0~5fhf--85bb3637-3e15-58c7-8f5c-d57feb727bfd","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 85bb3637-3e15-58c7-8f5c-d57feb727bfd","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom random import randint\\ndef task_func(num_types=5, integer_range=(0, 100)):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom random import randint\\n\\n\\ndef task_func(num_types=5, integer_range=(0, 100)):\\n    \\\"\\\"\\\"\\n    Generate a DataFrame containing random integer values across a specified number of categories,\\n    and visualize these data as a horizontal stacked bar chart.\\n\\n    Parameters:\\n    num_types (int, optional): The number of distinct categories for which data will be generated. Defaults to 5.\\n    integer_range (tuple, optional): The inclusive range from which random integers are drawn. Defaults to (0, 100).\\n\\n    Returns:\\n    tuple: A tuple containing a matplotlib Figure and Axes objects for the generated plot.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib\\n    - random\\n\\n    Note:\\n    The plot displays categories on the y-axis and their corresponding values on the x-axis, with\\n    data segmented by category.\\n\\n    Example:\\n    >>> fig, ax = task_func(3, (0, 50))\\n    >>> isinstance(fig, plt.Figure)\\n    True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a DataFrame containing random integer values across a specified number of categories, and visualize these data as a horizontal stacked bar chart.\\nNote that: The plot displays categories on the y-axis and their corresponding values on the x-axis, with data segmented by category.\\nThe function should output with:\\n    tuple: A tuple containing a matplotlib Figure and Axes objects for the generated plot.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom random import randint\\ndef task_func(num_types=5, integer_range=(0, 100)):\\n```\",\"libs\":\"['pandas', 'random', 'matplotlib']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}