{"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":"3bb10e20-d119-55cc-8f7d-09fa5f77db2f","task_key":"default--test--894","task_revision_id":"1","upstream_id":"894","short_description":"I have a dataframe whose last column is the target and the rest of the columns…","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nI have a dataframe whose last column is the target and the rest of the columns are the features.\\nNow, how can I split this dataframe dataset into a training set(80%) and a testing set(20%)?\\nAlso, how should I meanwhile split each of those sets, so I can define x (all columns except the last one), and y (the last column)?\\nAnyone would like to help me will be great appreciated.\\n\\nA:\\n\\nuse random_state=42\\n<code>\\nimport numpy as np\\nimport pandas as pd\\ndata = load_data()\\n</code>\\nx_train, x_test, y_train, y_test = ... # put solution in these variables\\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":[]}