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Masakhaner

Domaine:

natural language processing

Type de record:

dataset
MasakhaNER is the first large publicly available high-quality dataset for named entity recognition (NER) in ten African languages. Named entities are phrases that contain the names of persons, organizations, locations, times and quantities. Example: [PER Wolff] , currently a journalist in [LOC Argentina] , played with [PER Del Bosque] in the final years of the seventies in [ORG Real Madrid] . MasakhaNER is a named entity dataset consisting of PER, ORG, LOC, and DATE entities annotated by Masakhane for ten African languages: - Amharic - Hausa - Igbo - Kinyarwanda - Luganda - Luo - Nigerian-Pidgin - Swahili - Wolof - Yoruba The train/validation/test sets are available for all the ten languages. For more details see MasakhaNER: Named Entity Re…