# Context This is a very clean dataset and is for anyone who wants to try his/her hand on the NER ( Named Entity recognition ) task of NLP. # Content The dataset with 1M x 4 dimensions contains columns = ['# Sentence', 'Word', 'POS', 'Tag'] and is grouped by #Sentence. #Columns #Word: This column contains English dictionary words form the sentence it is taken from. #POS: Parts of speech tag #Tag: Standard named entity recognition tags as follows [ ORGANIZATION - Georgia-Pacific Corp., WHO PERSON - Eddy Bonte, President Obama LOCATION - Murray River, Mount Everest DATE - June, 2008-06-29 TIME - two fifty a m, 1:30 p.m. MONEY - 175 million Canadian Dollars, GBP 10.40 PERCENT - twenty pct, 18.75 % FACILITY - Washington Monument, Stonehenge GPE - South East Asia, Midlothian ] I am also adding basic kernel for reference If you like it, please give it a thumbs up ??