{"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":"e51b1e96-dc77-5f65-abab-6b8f436be635","task_key":"default--v0~2e1~2e0~5fhf--e51b1e96-dc77-5f65-abab-6b8f436be635","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf e51b1e96-dc77-5f65-abab-6b8f436be635","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import matplotlib.pyplot as plt\\nimport numpy as np\\nfrom scipy.stats import norm\\nfrom itertools import chain\\ndef task_func(L):\\n\",\"complete_prompt\":\"import matplotlib.pyplot as plt\\nimport numpy as np\\nfrom scipy.stats import norm\\nfrom itertools import chain\\n\\n\\ndef task_func(L):\\n    '''\\n    Convert a list of lists 'L' into a flattened list of integers, then fit a normal distribution to the data \\n    and plot a histogram with the fitted normal distribution overlay.\\n\\n    Requirements:\\n    - numpy\\n    - itertools.chain\\n    - scipy.stats.norm\\n    - matplotlib.pyplot\\n\\n    Parameters:\\n    L (list of lists): A nested list where each inner list contains integers.\\n\\n    Returns:\\n    matplotlib.axes._axes.Axes: Axes object with the plotted histogram and normal distribution overlay.\\n\\n    Example:\\n    >>> ax = task_func([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\\n    '''\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Convert a list of lists 'L' into a flattened list of integers, then fit a normal distribution to the data and plot a histogram with the fitted normal distribution overlay.\\nThe function should output with:\\n    matplotlib.axes._axes.Axes: Axes object with the plotted histogram and normal distribution overlay.\\nYou should write self-contained code starting with:\\n```\\nimport matplotlib.pyplot as plt\\nimport numpy as np\\nfrom scipy.stats import norm\\nfrom itertools import chain\\ndef task_func(L):\\n```\",\"libs\":\"['matplotlib', 'numpy', 'itertools', 'scipy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}