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Dataset · Hugging Face

tomaarsen/MultiCoNER

We present MultiCoNER, a large multilingual dataset for Named Entity Recognition that covers 3 domains (Wiki sentences, questions, and search queries) across 11 languages, as well as multilingual and code-mixing subsets. This dataset is designed to represent contemporary challenges in NER, including low-context scenarios (short and uncased text), syntactically complex entities like movie titles, and long-tail entity distributions. The 26M token dataset is compiled from public resources using techniques such as heuristic-based sentence sampling, template extraction and slotting, and machine tra

Author / organizationtomaarsen
License (as declared)cc-by-4.0
Downloads360 (as reported by Hugging Face)
Likes4
Created1 October 2023
Last updated at source1 October 2023
multiconernermultilingualnamed entity recognition
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