{"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":"279507cf-89a1-57f9-8bac-a519fca2b747","task_key":"default--v0~2e1~2e0~5fhf--279507cf-89a1-57f9-8bac-a519fca2b747","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 279507cf-89a1-57f9-8bac-a519fca2b747","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(l):\\n\",\"complete_prompt\":\"import numpy as np\\nfrom scipy import stats\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(l):\\n    '''\\n    Draw a histogram of the given array with a Gaussian fit.\\n\\n    Parameters:\\n    l (numpy array): The input array.\\n\\n    Returns:\\n    ax (matplotlib.axes._axes.Axes): Axes object with the plot.\\n\\n    Note:\\n    - This function use \\\"Fit results: mu = {mean},  std = {standard deviation}\\\" as the title of the plot, \\n    where the values are rounded to two decimal points.\\n\\n\\n    Requirements:\\n    - numpy\\n    - scipy.stats\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> l = np.array([5, 5, 5, 5, 5])\\n    >>> ax = task_func(l)\\n    >>> print(ax.get_title())\\n    Fit results: mu = 5.00,  std = 0.00\\n    >>> plt.close()\\n    '''\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Draw a histogram of the given array with a Gaussian fit.\\nNote that: This function use \\\"Fit results: mu = {mean},  std = {standard deviation}\\\" as the title of the plot, where the values are rounded to two decimal points.\\nThe function should output with:\\n    ax (matplotlib.axes._axes.Axes): Axes object with the plot.\\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(l):\\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":"index","subproblems":[],"grids":[]}