{"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":"78e0f168-3631-5af3-9e05-bcb5638590d4","task_key":"default--test--523","task_revision_id":"1","upstream_id":"523","short_description":"import numpy","config":"default","split":"test","body":"{\"library\":\"Matplotlib\",\"prompt\":\"import numpy\\nimport pandas\\nimport matplotlib.pyplot as plt\\nimport seaborn\\n\\nseaborn.set(style=\\\"ticks\\\")\\n\\nnumpy.random.seed(0)\\nN = 37\\n_genders = [\\\"Female\\\", \\\"Male\\\", \\\"Non-binary\\\", \\\"No Response\\\"]\\ndf = pandas.DataFrame(\\n    {\\n        \\\"Height (cm)\\\": numpy.random.uniform(low=130, high=200, size=N),\\n        \\\"Weight (kg)\\\": numpy.random.uniform(low=30, high=100, size=N),\\n        \\\"Gender\\\": numpy.random.choice(_genders, size=N),\\n    }\\n)\\n\\n# make seaborn relation plot and color by the gender field of the dataframe df\\n# SOLUTION START\\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":[]}