SEACrowd/indolem_ner_ugm
NER UGM is a Named Entity Recognition dataset that comprises 2,343 sentences from news articles, and was constructed at the University of Gajah Mada based on five named entity classes: person, organization, location, time, and quantity.
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indolem_ner_ugm
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SEACrowd