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Joint Entity and Relation Extraction datasets
archive 2025-07-28
16 datasets carry the task tag "Joint Entity and Relation Extraction" (the task itself: Joint Entity and Relation Extraction), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. 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
Joint Entity and Relation Extraction datasets 1–16 of 16
The New York Times Annotated Corpus contains over 1.8 million articles written and published by the New York Times between January 1, 1987 and June 19, 2007 with article metadata provided by the New York Times Newsroom, the New York Times…
262 papers · 9 benchmarks
The CoNLL dataset is a widely used resource in the field of natural language processing (NLP).
187 papers · 35 benchmarks
DocRED (Document-Level Relation Extraction Dataset) is a relation extraction dataset constructed from Wikipedia and Wikidata.
155 papers · 4 benchmarks
The WebNLG corpus comprises of sets of triplets describing facts (entities and relations between them) and the corresponding facts in form of natural language text.
149 papers · 17 benchmarks
SciERC dataset is a collection of 500 scientific abstract annotated with scientific entities, their relations, and coreference clusters.
134 papers · 7 benchmarks
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
ACE 2005 (ACE 2005 Multilingual Training Corpus)
ACE 2005 Multilingual Training Corpus contains the complete set of English, Arabic and Chinese training data for the 2005 Automatic Content Extraction (ACE) technology evaluation.
65 papers · 8 benchmarks
The CoNLL04 dataset is a benchmark dataset used for relation extraction tasks.
19 papers · 3 benchmarks
CDR (BioCreative V CDR Task Corpus)
The BioCreative V CDR task corpus is manually annotated for chemicals, diseases and chemical-induced disease (CID) relations.
12 papers · 2 benchmarks
The Dataset is part of the KELM corpus This is the Wikipedia text--Wikidata KG aligned corpus used to train the data-to-text generation model.
12 papers · 1 benchmark
GDA (Gene-Disease Associations Corpus)
The gene-disease associations corpus contains 30,192 titles and abstracts from PubMed articles that have been automatically labelled for genes, diseases and gene-disease associations via distant supervision.
10 papers · 2 benchmarks
The Sixth Informatics for Integrating Biology and the Bedside (i2b2) Natural Language Processing Challenge for Clinical Records focused on the temporal relations in clinical narratives.
9 papers · 2 benchmarks
Symlink is a SemEval shared task of extracting mathematical symbols and their descriptions from LaTeX source of scientific documents.
4 papers · 1 benchmark
We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recognition and Relation Extraction building on financial reports uploaded to the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, where the main objective is…
2 papers · 1 benchmark
A curated evaluation dataset for end-to-end Relation Extraction of relationships between organisms and natural-products.
1 paper · 0 benchmarks
The DocRED Information Extraction (DocRED-IE) dataset extends the DocRED dataset for the Document-level Closed Information Extraction (DocIE) task.
1 paper · 6 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.