SEACrowd/indolem_ner_ugm download history

SEACrowd/indolem_ner_ugm is a dataset on the Hugging Face Hub. In the last 30 days it was downloaded 109 times (31 in the last 7 days), and 1,389 times in total. It ranks #107,003 among datasets by monthly downloads.

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.

Open SEACrowd/indolem_ner_ugm on Hugging Face

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