{"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":"84911c63-2a8b-55a7-8362-3cee6b73f0c8","task_key":"default--test--973","task_revision_id":"1","upstream_id":"973","short_description":"I have the tensors:","config":"default","split":"test","body":"{\"library\":\"Pytorch\",\"prompt\":\"Problem:\\n\\nI have the tensors:\\n\\nids: shape (70,3) containing indices like [[0,1,0],[1,0,0],[0,0,1],...]\\n\\nx: shape(70,3,2)\\n\\nids tensor encodes the index of bold marked dimension of x which should be selected (1 means selected, 0 not). I want to gather the selected slices in a resulting vector:\\n\\nresult: shape (70,2)\\n\\nBackground:\\n\\nI have some scores (shape = (70,3)) for each of the 3 elements and want only to select the one with the highest score.\\nTherefore, I made the index with the highest score to be 1, and rest indexes to be 0\\n\\n\\nA:\\n\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nimport torch\\nids, x = load_data()\\n</code>\\nresult = ... # put solution in this variable\\nBEGIN SOLUTION\\n<code>\\n\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}