{"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":"5de1992f-397a-5b64-8b87-3c42a96e7f35","task_key":"default--test--669","task_revision_id":"1","upstream_id":"669","short_description":"I'm using tensorflow 2.10.0.","config":"default","split":"test","body":"{\"library\":\"Tensorflow\",\"prompt\":\"Problem:\\nI'm using tensorflow 2.10.0.\\nI am building a custom metric to measure the accuracy of one class in my multi-class dataset during training. I am having trouble selecting the class. \\nThe targets are one hot (e.g: the class 0 label is [0 1 1 1 1]):\\nI have 10 classes in total, so I need a n*10 tensor as result.\\nNow I have a list of integer (e.g. [0, 6, 5, 4, 2]), how to get a tensor like(dtype should be int32):\\n[[0 1 1 1 1 1 1 1 1 1]\\n [1 1 1 1 1 1 0 1 1 1]\\n [1 1 1 1 1 0 1 1 1 1]\\n [1 1 1 1 0 1 1 1 1 1]\\n [1 1 0 1 1 1 1 1 1 1]]\\n\\n\\nA:\\n<code>\\nimport tensorflow as tf\\n\\n\\nlabels = [0, 6, 5, 4, 2]\\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":[]}