{"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":"f0ee7707-618a-5f0f-b254-edc0cca06a64","task_key":"default--test--896","task_revision_id":"1","upstream_id":"896","short_description":"I have a csv file without headers which I'm importing into python using pandas.…","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nI have a csv file without headers which I'm importing into python using pandas. The last column is the target class, while the rest of the columns are pixel values for images. How can I go ahead and split this dataset into a training set and a testing set (80/20)?\\n\\nAlso, once that is done how would I also split each of those sets so that I can define x (all columns except the last one), and y (the last column)?\\n\\nI've imported my file using:\\n\\ndataset = pd.read_csv('example.csv', header=None, sep=',')\\nThanks\\n\\nA:\\n\\nuse random_state=42\\n<code>\\nimport numpy as np\\nimport pandas as pd\\ndataset = load_data()\\ndef solve(data):\\n    # return the solution in this function\\n    # x_train, y_train, x_test, y_test = solve(data)\\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":[]}