{"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":"7a1c9ea4-2550-5208-a681-d95de3c17551","task_key":"default--v0~2e1~2e0~5fhf--7a1c9ea4-2550-5208-a681-d95de3c17551","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 7a1c9ea4-2550-5208-a681-d95de3c17551","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import matplotlib.pyplot as plt\\nimport numpy as np\\nimport seaborn as sns\\ndef task_func(mu, sigma, seed=0):\\n\",\"complete_prompt\":\"import matplotlib.pyplot as plt\\nimport numpy as np\\nimport seaborn as sns\\n\\n\\ndef task_func(mu, sigma, seed=0):\\n    \\\"\\\"\\\"\\n    Draw a normal distribution using a 1000 samples, indicating the mean and standard deviation \\n    with a color bar.\\n    \\n    Parameters:\\n    mu (float): The mean of the distribution.\\n    sigma (float): The standard deviation of the distribution.\\n    seed (int, Optional): The seed for the random number generator. Defaults to 0.\\n    \\n    Returns:\\n    matplotlib.axes._axes.Axes: The Axes object of the plotted distribution.\\n    \\n    Requirements:\\n    - matplotlib.pyplot\\n    - numpy\\n    - seaborn\\n    \\n    Example:\\n    >>> plot = task_func(0, 1)\\n    >>> type(plot)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Draw a normal distribution using a 1000 samples, indicating the mean and standard deviation with a color bar.\\nThe function should output with:\\n    matplotlib.axes._axes.Axes: The Axes object of the plotted distribution.\\nYou should write self-contained code starting with:\\n```\\nimport matplotlib.pyplot as plt\\nimport numpy as np\\nimport seaborn as sns\\ndef task_func(mu, sigma, seed=0):\\n```\",\"libs\":\"['numpy', '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":[]}