{"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":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"412b6d66-de08-5460-b0c5-54b8105ddc19","task_key":"default--test--100","task_revision_id":"2","upstream_id":"100","short_description":"In pandas, how do I replace &AMP; with '&' from all columns where &AMP could be…","config":"default","split":"test","body":"{\"prompt\":\"Problem:\\nIn pandas, how do I replace &AMP; with '&' from all columns where &AMP could be in any position in a string?\\nFor example, in column Title if there is a value 'Good &AMP; bad', how do I replace it with 'Good & bad'?\\n\\n\\nA:\\n<code>\\nimport pandas as pd\\n\\n\\ndf = pd.DataFrame({'A': ['Good &AMP; bad', 'BB', 'CC', 'DD', 'Good &AMP; bad'], 'B': range(5), 'C': ['Good &AMP; bad'] * 5})\\n</code>\\ndf = ... # put solution in this variable\\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":"noindex","subproblems":[],"grids":[]}