Datasets › Few-NERD
Few-NERD
Few-NERD is a large-scale, fine-grained manually annotated named entity recognition dataset, which contains 8 coarse-grained types, 66 fine-grained types, 188,200 sentences, 491,711 entities, and 4,601,223 tokens. Three benchmark tasks are built, one is supervised (Few-NERD (SUP)) and the other two are few-shot (Few-NERD (INTRA) and Few-NERD (INTER)).
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Few-shot NER | Few-NERD (INTER) | MSDP 5 way 1~2 shot 76.86±0.22 | A Multi-Task Semantic Decomposition Framework with... | dongguanting/msdp-fewshot-ner | 13 | Compare |
| Few-shot NER | Few-NERD (INTRA) | JCELRNER 5 way 1~2 shot 62.49±0.43 | — | — | 13 | Compare |
| Named Entity Recognition (NER) | Few-NERD (SUP) | PL-Marker F1-Measure 70.9 | Packed Levitated Marker for Entity and Relation Extraction | tomaarsen/spanmarkerner +1 | 6 | Compare |
Papers archive 2025-07-28
12 shown of 12 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 77. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Few-NERD
- Few-NERD (SUP)
- Few-NERD (INTRA)
- Few-NERD (INTER)
- finegrained, supervised FewNERD
- FewNERD
6 variant names, as the archive lists them.
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