{"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":"f207f56a-39e9-5db9-9d9a-cbcbc176e3be","task_key":"default--v0~2e1~2e0~5fhf--f207f56a-39e9-5db9-9d9a-cbcbc176e3be","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf f207f56a-39e9-5db9-9d9a-cbcbc176e3be","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nfrom sklearn.preprocessing import MinMaxScaler\\n# Constants\\nARRAY_LENGTH = 10\\ndef task_func():\\n\",\"complete_prompt\":\"import numpy as np\\nfrom sklearn.preprocessing import MinMaxScaler\\n\\n# Constants\\nARRAY_LENGTH = 10\\n\\ndef task_func():\\n    \\\"\\\"\\\"\\n    Generate a random array and apply min-max normalization (scaling) to transform the array values into a range between 0 and 1.\\n\\n    Parameters:\\n    - None\\n\\n    Returns:\\n    - scaled_array (numpy.ndarray): The normalized array.\\n\\n    Requirements:\\n    - numpy\\n    - sklearn\\n\\n    Example:\\n    >>> task_func()\\n    array([[0.57142857],\\n           [0.14285714],\\n           [0.71428571],\\n           [0.28571429],\\n           [0.57142857],\\n           [1.        ],\\n           [0.        ],\\n           [0.57142857],\\n           [0.71428571],\\n           [0.28571429]])\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a random array and apply min-max normalization (scaling) to transform the array values into a range between 0 and 1.\\nThe function should output with:\\n    scaled_array (numpy.ndarray): The normalized array.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nfrom sklearn.preprocessing import MinMaxScaler\\n# Constants\\nARRAY_LENGTH = 10\\ndef task_func():\\n```\",\"libs\":\"['numpy', 'sklearn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}