{"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":"26214b59-80a9-5e4a-9604-fe00a5f33a0e","task_key":"default--v0~2e1~2e0~5fhf--26214b59-80a9-5e4a-9604-fe00a5f33a0e","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 26214b59-80a9-5e4a-9604-fe00a5f33a0e","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from collections import Counter\\nimport random\\nimport matplotlib.pyplot as plt\\ndef task_func(num_rolls, num_dice, plot_path=None, random_seed=0):\\n\",\"complete_prompt\":\"from collections import Counter\\nimport random\\nimport matplotlib.pyplot as plt\\n\\n\\ndef task_func(num_rolls, num_dice, plot_path=None, random_seed=0):\\n    \\\"\\\"\\\"Simulate rolling a certain number of a standard six-sided dice several times, then\\n    identify and display the distribution of the sums of the dice rolls in a bar plot.\\n\\n    Parameters:\\n    - num_rolls (int): The number of times to roll the dice.\\n    - num_dice (int): The number of dice to roll each time.\\n    - plot_path (str, optional): Path to save the generated plot. If not provided, plot is not saved.\\n    - random_seed (int): Random seed for reproducibility. Defaults to 0.\\n\\n    Returns:\\n    tuple: A tuple containing the following elements:\\n        - Counter: A Counter object with the count of each possible sum.\\n        - Axes: A matplotlib Axes object representing the bar plot of the Distribution of Dice Roll Sums,\\n                with Sum of Dice Roll on the x-axis and count on the y-axis.\\n\\n    Requirements:\\n    - collections.Counter\\n    - random\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> result, ax = task_func(10000, 2, 'output.png')\\n    >>> type(result)\\n    <class 'collections.Counter'>\\n    >>> type(ax)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Simulate rolling a certain number of a standard six-sided dice several times, then identify and display the distribution of the sums of the dice rolls in a bar plot.\\nThe function should output with:\\n    tuple: A tuple containing the following elements:\\n    Counter: A Counter object with the count of each possible sum.\\n    Axes: A matplotlib Axes object representing the bar plot of the Distribution of Dice Roll Sums,\\n    with Sum of Dice Roll on the x-axis and count on the y-axis.\\nYou should write self-contained code starting with:\\n```\\nfrom collections import Counter\\nimport random\\nimport matplotlib.pyplot as plt\\ndef task_func(num_rolls, num_dice, plot_path=None, random_seed=0):\\n```\",\"libs\":\"['collections', 'matplotlib', 'random']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}