MultiCoNER is a large multilingual dataset (11 languages) for Named Entity Recognition. It is designed to represent some of the contemporary challenges in NER, including low-context scenarios (short and uncased text), syntactically complex entities such as movie titles, and long-tail entity distributions.
See all datasets managed by Amazon.
MultiCoNER Dataset was accessed on
DATE from https://registry.opendata.aws/multiconer.
aws s3 ls --no-sign-request s3://multiconer/