{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"humaneval","formal_name":"HumanEval","introduction":"HumanEval asks for a Python function body from a docstring and signature, checked by hidden unit tests. It is the original functional-correctness benchmark for code generation.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://huggingface.co/datasets/openai/openai_humaneval","indexing_mode":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"34ef7007-89ed-54ca-ba51-caf24af3673d","task_key":"openai~5fhumaneval--test--34ef7007-89ed-54ca-ba51-caf24af3673d","task_revision_id":"1","upstream_id":"","short_description":"from typing import List","config":"openai_humaneval","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":"text","language":"","answer_status":"unknown","assets":[],"source_url":"https://huggingface.co/datasets/openai/openai_humaneval","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}