{"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":"0cf56370-4dd2-5bdc-b199-98379db3ef25","task_key":"openai~5fhumaneval--test--0cf56370-4dd2-5bdc-b199-98379db3ef25","task_revision_id":"1","upstream_id":"","short_description":"from typing import List","config":"openai_humaneval","split":"test","body":"{\"entry_point\":\"rescale_to_unit\",\"prompt\":\"from typing import List\\n\\n\\ndef rescale_to_unit(numbers: List[float]) -> List[float]:\\n    \\\"\\\"\\\" Given list of numbers (of at least two elements), apply a linear transform to that list,\\n    such that the smallest number will become 0 and the largest will become 1\\n    >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])\\n    [0.0, 0.25, 0.5, 0.75, 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":[]}