{"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":"64934759-54a2-5ffa-b0fe-66d7d91e6d47","task_key":"default--v0~2e1~2e0~5fhf--64934759-54a2-5ffa-b0fe-66d7d91e6d47","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 64934759-54a2-5ffa-b0fe-66d7d91e6d47","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nfrom scipy import stats\\nimport matplotlib.pyplot as plt\\ndef task_func(mu, sigma, num_samples):\\n\",\"complete_prompt\":\"import numpy as np\\nfrom scipy import stats\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(mu, sigma, num_samples):\\n    \\\"\\\"\\\"\\n    Display a plot showing a normal distribution with a given mean and standard deviation and overlay a histogram of randomly generated samples from this distribution.\\n    The plot title should be 'Normal Distribution'.\\n\\n    Parameters:\\n    mu (float): The mean of the distribution.\\n    sigma (float): The standard deviation of the distribution.\\n    num_samples (int): The number of samples to generate.\\n\\n    Returns:\\n    fig (matplotlib.figure.Figure): The generated figure. Useful for testing purposes.\\n\\n    Requirements:\\n    - numpy\\n    - scipy.stats\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> plt = task_func(0, 1, 1000)\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Display a plot showing a normal distribution with a given mean and standard deviation and overlay a histogram of randomly generated samples from this distribution. The plot title should be 'Normal Distribution'.\\nThe function should output with:\\n    fig (matplotlib.figure.Figure): The generated figure. Useful for testing purposes.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nfrom scipy import stats\\nimport matplotlib.pyplot as plt\\ndef task_func(mu, sigma, num_samples):\\n```\",\"libs\":\"['numpy', 'matplotlib', 'scipy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}