MultiCoNER-EN

Language(s)
Spanish
Dataset description link
https://aclanthology.org/2022.coling-1.334.pdf
Year
2022
Text types
Wikipedia
Questions
Search queries
Annotations
Named entities: PERSON, LOCATION, GROUPS, CORPORATION, PRODUCT, CREATIVE-WORK
Format
CoNLL
Data access
Public
Data link
https://registry.opendata.aws/multiconer/
License
CC-BY-4.0
NLP Topic
(named) entity recognition
Number of units
233987
Type of units
Sentences
Sentences
233987
Training set size
15300 sentences
Test set size
217887 sentences
Development set size
800 sentences

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.