{"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":"999de9a3-2cbc-548b-9e6a-64c476439108","task_key":"default--test--918","task_revision_id":"1","upstream_id":"918","short_description":"Are you able to train a DecisionTreeClassifier with string data?","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nAre you able to train a DecisionTreeClassifier with string data?\\n\\nWhen I try to use String data I get a ValueError: could not converter string to float\\n\\nX = [['dsa', '2'], ['sato', '3']]\\n\\nclf = DecisionTreeClassifier()\\n\\nclf.fit(X, ['4', '5'])\\n\\nSo how can I use this String data to train my model?\\n\\nNote I need X to remain a list or numpy array.\\n\\nA:\\n\\ncorrected, runnable code\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nfrom sklearn.tree import DecisionTreeClassifier\\nX = [['dsa', '2'], ['sato', '3']]\\nclf = DecisionTreeClassifier()\\n</code>\\nsolve this question with example variable `new_X`\\nBEGIN SOLUTION\\n<code>\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}