Datasets › Naamapadam
Naamapadam
Naamapadam is a Named Entity Recognition (NER) dataset for the 11 major Indian languages from two language families. In each language, it contains more than 400k sentences annotated with a total of at least 100k entities from three standard entity categories (Person, Location and Organization) for 9 out of the 11 languages. The training dataset has been automatically created from the Samanantar parallel corpus by projecting automatically tagged entities from an English sentence to the corresponding Indian language sentence.
Source: Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 6 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons CC0 license (“no rights reserved”)
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Naamapadam
1 variant name, as the archive lists them.
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