Home › Datasets › task › Relation Extraction
Relation Extraction datasets
archive 2025-07-2882 datasets carry the task tag "Relation Extraction" (the task itself: Relation Extraction), ordered by the archive's paper count. Page 1 of 2: 48 shown of 82. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52
Relation Extraction datasets 1–48 of 82
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
TACRED (The TAC Relation Extraction Dataset)
TACRED is a large-scale relation extraction dataset with 106,264 examples built over newswire and web text from the corpus used in the yearly TAC Knowledge Base Population (TAC KBP) challenges.
204 papers · 2 benchmarks
FewRel (Few-Shot Relation Classification Dataset)
The FewRel (Few-Shot Relation Classification Dataset) contains 100 relations and 70,000 instances from Wikipedia.
189 papers · 3 benchmarks
The CoNLL dataset is a widely used resource in the field of natural language processing (NLP).
187 papers · 35 benchmarks
FUNSD (Form Understanding in Noisy Scanned Documents)
Form Understanding in Noisy Scanned Documents (FUNSD) comprises 199 real, fully annotated, scanned forms.
179 papers · 3 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
BLUE (Biomedical Language Understanding Evaluation)
The BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.
133 papers · 0 benchmarks
The dataset for the SemEval-2010 Task 8 is a dataset for multi-way classification of mutually exclusive semantic relations between pairs of nominals.
121 papers · 1 benchmark
A dataset of large scale alignments between Wikipedia abstracts and Wikidata triples.
117 papers · 1 benchmark
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
Re-TACRED (Revised-TACRED)
The Re-TACRED dataset is a significantly improved version of the TACRED dataset for relation extraction.
56 papers · 1 benchmark
The DDIExtraction 2013 task relies on the DDI corpus which contains MedLine abstracts on drug-drug interactions as well as documents describing drug-drug interactions from the DrugBank database.
54 papers · 3 benchmarks
ACE 2004 (ACE 2004 Multilingual Training Corpus)
ACE 2004 Multilingual Training Corpus contains the complete set of English, Arabic and Chinese training data for the 2004 Automatic Content Extraction (ACE) technology evaluation.
51 papers · 6 benchmarks
Wikipedia abstracts automatically annotated with WikiData entities and relations that are entailed by the text.
46 papers · 2 benchmarks
QA-SRL was proposed as an open schema for semantic roles, in which the relation between an argument and a predicate is expressed as a natural-language question containing the predicate (“Where was someone educated?”) whose answer is the…
43 papers · 0 benchmarks
A more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of instances?
38 papers · 0 benchmarks
Re-DocRED (Revisiting Document Level Relation Extraction)
The Re-DocRED Dataset resolved the following problems of DocRED: 1.
34 papers · 3 benchmarks
BioRED is a first-of-its-kind biomedical relation extraction dataset with multiple entity types (e.g.
25 papers · 3 benchmarks
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language understanding capability of Korean language models.
21 papers · 1 benchmark
JNLPBA is a biomedical dataset that comes from the GENIA version 3.02 corpus (Kim et al., 2003).
20 papers · 2 benchmarks
XFUND (A Multilingual Form Understanding Benchmark)
XFUND is a multilingual form understanding benchmark dataset that includes human-labeled forms with key-value pairs in 7 languages (Chinese, Japanese, Spanish, French, Italian, German, Portuguese).
20 papers · 0 benchmarks
The CoNLL04 dataset is a benchmark dataset used for relation extraction tasks.
19 papers · 3 benchmarks
2010 i2b2/VA is a biomedical dataset for relation classification and entity typing.
18 papers · 4 benchmarks
DWIE (Deutsche Welle corpus for Information Extraction)
The 'Deutsche Welle corpus for Information Extraction' (DWIE) is a multi-task dataset that combines four main Information Extraction (IE) annotation sub-tasks: (i) Named Entity Recognition (NER), (ii) Coreference Resolution, (iii) Relation…
18 papers · 5 benchmarks
ChemProt consists of 1,820 PubMed abstracts with chemical-protein interactions annotated by domain experts and was used in the BioCreative VI text mining chemical-protein interactions shared task.
16 papers · 1 benchmark
15 papers · 1 benchmark
Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports.
14 papers · 3 benchmarks
A SemEval shared task in which participants must extract definitions from free text using a term-definition pair corpus that reflects the complex reality of definitions in natural language.
14 papers · 0 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
MAVEN-ERE is a dataset designed for event relation extraction tasks containing 103,193 event coreference chains, 1,216,217 temporal relations, 57,992 causal relations, and 15,841 subevent relations.
11 papers · 0 benchmarks
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
REFinD (REFinD: Relation Extraction Financial Dataset)
REFinD is a large-scale annotated dataset of relations, with ∼29K instances and 22 relations amongst 8 types of entity pairs, generated entirely over financial documents.
10 papers · 0 benchmarks
2012 i2b2 Temporal Relations (2012 i2b2 Temporal Relations Corpus)
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
FinRED is a relation extraction dataset curated from financial news and earning call transcripts containing relations from the finance domain.
9 papers · 0 benchmarks
2018 n2c2 (Track 2) - Adverse Drug Events and Medication Extraction (2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records)
Abstract Objective This article summarizes the preparation, organization, evaluation, and results of Track 2 of the 2018 National NLP Clinical Challenges shared task.
8 papers · 0 benchmarks
HyperRED (Hyper-Relational Extraction Dataset)
HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information such as time, quantity or location.
7 papers · 1 benchmark
The TACRED-Revisited dataset improves the crowd-sourced TACRED dataset for relation extraction by relabeling the dev and test sets using expert linguistic annotators.
7 papers · 1 benchmark
KnowledgeNet is a benchmark dataset for the task of automatically populating a knowledge base (Wikidata) with facts expressed in natural language text on the web.
6 papers · 0 benchmarks
PGR (Phenotype-Gene Relations)
Phenotype-Gene Relations (PGR) is a corpus that consists of 1712 abstracts, 5676 human phenotype annotations, 13835 gene annotations, and 4283 relations.
6 papers · 2 benchmarks
WNUT 2020 (WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols)
The training and development dataset for our task was taken from previous work on wet lab corpus (Kulkarni et al., 2018) that consists of from the 623 protocols.
6 papers · 2 benchmarks
CrossRE is a cross-domain benchmark for Relation Extraction (RE), which comprises six distinct text domains and includes multi-label annotations.
5 papers · 0 benchmarks
GAD (Gene Associations Database)
GAD, or Gene Associations Database, is a corpus of gene-disease associations curated from genetic association studies.
5 papers · 1 benchmark
LabPics (LabPics Dataset for computer vision for autonomous chemistry labs and medical labs)
LabPics Chemistry Dataset Dataset for computer vision for materials segmentation and classification in chemistry labs, medical labs, and any setting where materials are handled inside containers.
5 papers · 0 benchmarks
SoMeSci (Software Mentions in Scientific Articles)
Knowledge about software used in scientific investigations is important for several reasons, for instance, to enable an understanding of provenance and methods involved in data handling.
5 papers · 0 benchmarks
DiS-ReX is a multilingual dataset for distantly supervised (DS) relation extraction (RE).
4 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.