{"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":"b99e2083-f336-54e1-8d75-7cb0a080cceb","task_key":"default--test--577","task_revision_id":"1","upstream_id":"577","short_description":"import numpy as np","config":"default","split":"test","body":"{\"library\":\"Matplotlib\",\"prompt\":\"import numpy as np\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\n\\ndf = sns.load_dataset(\\\"penguins\\\")[\\n    [\\\"bill_length_mm\\\", \\\"bill_depth_mm\\\", \\\"flipper_length_mm\\\", \\\"body_mass_g\\\"]\\n]\\n\\n# make a seaborn scatter plot of bill_length_mm and bill_depth_mm\\n# use markersize 30 for all data points in the scatter plot\\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":[]}