Datasets › Few-NERD

Few-NERD

Introduced by Ning Ding et al. in Few-NERD: A Few-Shot Named Entity Recognition Dataset16 May 2021 archive 2025-07-28

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)PaperCode
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

CC BY-SA 4.0

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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