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Named Entity Recognition datasets
archive 2025-07-28
20 datasets carry the task tag "Named Entity Recognition" (the task itself: Named Entity Recognition), ordered by the archive's paper count. Page 1 of 1: 20 shown of 20. 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
Named Entity Recognition datasets 1–20 of 20
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
OntoNotes 5.0 is a large corpus comprising various genres of text (news, conversational telephone speech, weblogs, usenet newsgroups, broadcast, talk shows) in three languages (English, Chinese, and Arabic) with structural information…
254 papers · 12 benchmarks
The CoNLL dataset is a widely used resource in the field of natural language processing (NLP).
187 papers · 35 benchmarks
The NCBI Disease corpus consists of 793 PubMed abstracts, which are separated into training (593), development (100) and test (100) subsets.
154 papers · 3 benchmarks
SciERC dataset is a collection of 500 scientific abstract annotated with scientific entities, their relations, and coreference clusters.
134 papers · 7 benchmarks
The CoNLL-2012 shared task involved predicting coreference in English, Chinese, and Arabic, using the final version, v5.0, of the OntoNotes corpus.
89 papers · 0 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
WikiANN, also known as PAN-X, is a multilingual named entity recognition dataset.
72 papers · 4 benchmarks
MasakhaNER is a collection of Named Entity Recognition (NER) datasets for 10 different African languages.
56 papers · 1 benchmark
GUM (Georgetown University Multilayer corpus)
GUM is an open source multilayer English corpus of richly annotated texts from twelve text types.
13 papers · 1 benchmark
The dataset used to pre-train NuNER from the NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data Contains AI-extracted entities, their concepts, and descriptions from the given text
4 papers · 0 benchmarks
LatamXIX (19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction)
A novel dataset of 19th-century Latin American press texts, which addresses the lack of specialized corpora for historical and linguistic analysis in this region.
2 papers · 0 benchmarks
CoNECo (Complex Named Entity Corpus)
Complex Named Entity Corpus (CoNECo) is an annotated corpus for NER and NEN of protein-containing complexes.
1 paper · 0 benchmarks
FinDKG: The Global Financial Dynamic Knowledge Graph Dataset FinDKG is an open-source dataset focused on creating a temporally-resolved Financial Dynamic Knowledge Graph.
1 paper · 0 benchmarks
HAREM, an initiative by Linguateca, boasts a Golden Collection—a meticulously curated repository of annotated Portuguese texts.
1 paper · 0 benchmarks
The MiniHAREM, a reiteration of the 2005 evaluation, used the same methodology and platform.
1 paper · 0 benchmarks
ARF (Artificial Relationships in Fiction)
Artificial Relationships in Fiction Dataset Description Artificial Relationships in Fiction (ARF) is a synthetically annotated dataset for Relation Extraction (RE) in fiction, created from a curated selection of literary texts sourced from…
0 papers · 0 benchmarks
POPCORN (POPCORN: Fictional and Synthetic Intelligence Reports for Named Entity Recognition and Relation Extraction Tasks)
POPCORN is a French dataset consisting of 400 validation texts and 400 training texts, all written and annotated manually.
0 papers · 0 benchmarks
This dataset was taken from the SIGARRA information system at the University of Porto (UP).
0 papers · 0 benchmarks
The Second HAREM was an evaluation exercise in Portuguese Named Entity Recognition.
0 papers · 0 benchmarks
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.