{"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":"8777bf02-d9c6-5742-a2ef-adafb2cc0e60","task_key":"default--v0~2e1~2e0~5fhf--8777bf02-d9c6-5742-a2ef-adafb2cc0e60","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 8777bf02-d9c6-5742-a2ef-adafb2cc0e60","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nfrom sklearn.decomposition import PCA\\ndef task_func(tuples_list, n_components):\\n\",\"complete_prompt\":\"import numpy as np\\nfrom sklearn.decomposition import PCA\\n\\ndef task_func(tuples_list, n_components):\\n    \\\"\\\"\\\"\\n    Perform Principal Component Analysis (PCA) on a list of tuples.\\n    \\n    Parameters:\\n    - tuples_list (list): The list of tuples.\\n    \\n    Returns:\\n    - transformed_data (ndarray): The transformed data.\\n\\n    Requirements:\\n    - numpy\\n    - sklearn\\n    \\n    Example:\\n    >>> data = task_func([(1, 2, 3, 4), (5, 6, 7, 8), (9, 10, 11, 12)], 2)\\n    >>> print(data)\\n    [[ 8.00000000e+00  3.84592537e-16]\\n     [ 0.00000000e+00  0.00000000e+00]\\n     [-8.00000000e+00  3.84592537e-16]]\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Perform Principal Component Analysis (PCA) on a list of tuples.\\nThe function should output with:\\n    transformed_data (ndarray): The transformed data.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nfrom sklearn.decomposition import PCA\\ndef task_func(tuples_list, n_components):\\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":[]}