{"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":"2edc0281-2152-5fc3-97ff-9480d9456a63","task_key":"default--v0~2e1~2e0~5fhf--2edc0281-2152-5fc3-97ff-9480d9456a63","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 2edc0281-2152-5fc3-97ff-9480d9456a63","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from itertools import chain\\nimport numpy as np\\nfrom sklearn.cluster import KMeans\\ndef task_func(L):\\n\",\"complete_prompt\":\"from itertools import chain\\nimport numpy as np\\nfrom sklearn.cluster import KMeans\\n\\n\\ndef task_func(L):\\n    \\\"\\\"\\\"\\n    Convert a list of lists into a list of integers, apply the KMeans clustering, \\n    and return a scatter plot 'matplotlib.axes.Axes' with data points color-coded by their cluster.\\n\\n    Requirements:\\n    - itertools.chain\\n    - numpy\\n    - sklearn.cluster\\n\\n    Parameters:\\n    L (list of lists): A list of lists where each sublist contains integers.\\n\\n    Returns:\\n    matplotlib.axes.Axes: An Axes object representing the scatter plot.\\n\\n    Example:\\n    >>> ax = task_func([[1, 2, 3], [50, 60, 70], [100, 110, 120]])\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Convert a list of lists into a list of integers, apply the KMeans clustering, and return a scatter plot 'matplotlib.axes.Axes' with data points color-coded by their cluster.\\nThe function should output with:\\n    matplotlib.axes.Axes: An Axes object representing the scatter plot.\\nYou should write self-contained code starting with:\\n```\\nfrom itertools import chain\\nimport numpy as np\\nfrom sklearn.cluster import KMeans\\ndef task_func(L):\\n```\",\"libs\":\"['numpy', 'itertools', 'sklearn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}