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Low Resource Named Entity Recognition datasets

archive 2025-07-28

5 datasets carry the task tag "Low Resource Named Entity Recognition" (the task itself: Low Resource Named Entity Recognition), ordered by the archive's paper count. Page 1 of 1: 5 shown of 5. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Low Resource Named Entity Recognition datasets 1–5 of 5

CoNLL-2003 is a named entity recognition dataset released as a part of CoNLL-2003 shared task: language-independent named entity recognition.
755 papers · 6 benchmarks
The CoNLL dataset is a widely used resource in the field of natural language processing (NLP).
187 papers · 35 benchmarks
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.
77 papers · 3 benchmarks
This paper introduces the Broad Twitter Corpus (BTC), which is not only significantly bigger, but sampled across different regions, temporal periods, and types of Twitter users.
12 papers · 2 benchmarks
Rare Diseases Mentions in MIMIC-III (Rare disease mention annotations from a sample of MIMIC-III clinical notes)
Data annotation The 1,073 full rare disease mention annotations (from 312 MIMIC-III discharge summaries) are in fullsetRDannMIMICIIIdisch.csv.
2 papers · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.