{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"ds-1000","formal_name":"DS-1000","introduction":"DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve them.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://ds1000-code-gen.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":"9fa494db-5005-5d2e-b011-55498cc4bb4b","task_key":"default--test--954","task_revision_id":"1","upstream_id":"954","short_description":"How to batch convert sentence lengths to masks in PyTorch?","config":"default","split":"test","body":"{\"library\":\"Pytorch\",\"prompt\":\"Problem:\\n\\nHow to batch convert sentence lengths to masks in PyTorch?\\nFor example, from\\n\\nlens = [3, 5, 4]\\nwe want to get\\n\\nmask = [[1, 1, 1, 0, 0],\\n        [1, 1, 1, 1, 1],\\n        [1, 1, 1, 1, 0]]\\nBoth of which are torch.LongTensors.\\n\\n\\nA:\\n\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nimport torch\\nlens = load_data()\\ndef get_mask(lens):\\n    # return the solution in this function\\n    # mask = get_mask(lens)\\n    ### BEGIN SOLUTION\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}