{"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":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"b29b4e29-8d5a-566b-a0b4-59ae1dc1b3bc","task_key":"default--v0~2e1~2e0~5fhf--b29b4e29-8d5a-566b-a0b4-59ae1dc1b3bc","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf b29b4e29-8d5a-566b-a0b4-59ae1dc1b3bc","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from sklearn.preprocessing import StandardScaler\\nimport numpy as np\\nimport base64\\ndef task_func(data):\\n\",\"complete_prompt\":\"from sklearn.preprocessing import StandardScaler\\nimport numpy as np\\nimport base64\\n\\ndef task_func(data):\\n    \\\"\\\"\\\"\\n    Standardize a numeric array using sklearn's StandardScaler and encode the standardized data in base64 format as an ASCII string.\\n    \\n    Parameters:\\n    - data (numpy.ndarray): The numpy array to standardize and encode.\\n    \\n    Returns:\\n    - str: The base64-encoded ASCII string representation of the standardized data.\\n    \\n    Requirements:\\n    - sklearn.preprocessing.StandardScaler\\n    - numpy\\n    - base64\\n    \\n    Example:\\n    >>> data = np.array([[0, 0], [0, 0], [1, 1], [1, 1]])\\n    >>> encoded_data = task_func(data)\\n    >>> print(encoded_data)\\n    W1stMS4gLTEuXQogWy0xLiAtMS5dCiBbIDEuICAxLl0KIFsgMS4gIDEuXV0=\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Standardize a numeric array using sklearn's StandardScaler and encode the standardized data in base64 format as an ASCII string.\\nThe function should output with:\\n    str: The base64-encoded ASCII string representation of the standardized data.\\nYou should write self-contained code starting with:\\n```\\nfrom sklearn.preprocessing import StandardScaler\\nimport numpy as np\\nimport base64\\ndef task_func(data):\\n```\",\"libs\":\"['base64', 'numpy', 'sklearn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}