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Medical Named Entity Recognition datasets

archive 2025-07-28

6 datasets carry the task tag "Medical Named Entity Recognition" (the task itself: Medical Named Entity Recognition), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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

Medical Named Entity Recognition datasets 1–6 of 6

RadGraph (RadGraph: Extracting Clinical Entities and Relations from Radiology Reports)
RadGraph is a dataset of entities and relations in radiology reports based on our novel information extraction schema, consisting of 600 reports with 30K radiologist annotations and 221K reports with 10.5M automatically generated…
78 papers · 0 benchmarks
JNLPBA is a biomedical dataset that comes from the GENIA version 3.02 corpus (Kim et al., 2003).
20 papers · 2 benchmarks
2010 i2b2/VA is a biomedical dataset for relation classification and entity typing.
18 papers · 4 benchmarks
Created by Smith et al.
13 papers · 2 benchmarks
Species-800 is a corpus for species entities, which is based on manually annotated abstracts.
5 papers · 1 benchmark
A vast amount of information in the biomedical domain is available as natural language free text.
3 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.