{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"humaneval-plus","formal_name":"HumanEval+","introduction":"HumanEval+ keeps the 164 original HumanEval problems and multiplies their tests by roughly 80×. It exists because the original suite was loose enough to pass implementations that were actually wrong.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://github.com/evalplus/evalplus","indexing_mode":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"98ed179c-28ea-5f88-a468-8a5dc59f249c","task_key":"default--test--98ed179c-28ea-5f88-a468-8a5dc59f249c","task_revision_id":"2","upstream_id":"","short_description":"from typing import List","config":"default","split":"test","body":"{\"entry_point\":\"mean_absolute_deviation\",\"prompt\":\"from typing import List\\n\\n\\ndef mean_absolute_deviation(numbers: List[float]) -> float:\\n    \\\"\\\"\\\" For a given list of input numbers, calculate Mean Absolute Deviation\\n    around the mean of this dataset.\\n    Mean Absolute Deviation is the average absolute difference between each\\n    element and a centerpoint (mean in this case):\\n    MAD = average | x - x_mean |\\n    >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])\\n    1.0\\n    \\\"\\\"\\\"\\n\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/evalplus/evalplus","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}