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Medical Relation Extraction datasets

archive 2025-07-28

5 datasets carry the task tag "Medical Relation Extraction" (the task itself: Medical Relation Extraction), 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

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 52Medical Relation Extraction 5

Medical Relation Extraction datasets 1–5 of 5

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…
TextsGraphsMedicalNamed Entity Recognition (NER)Relation ExtractionJoint Entity and Relation ExtractionMedical Relation ExtractionMedical Named Entity Recognition
78 papers · 0 benchmarks
DDI
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.
TextsRelation ExtractionDrug–drug Interaction ExtractionMedical Relation Extraction
54 papers · 3 benchmarks
GAD (Gene Associations Database)
GAD, or Gene Associations Database, is a corpus of gene-disease associations curated from genetic association studies.
TextsRelation ExtractionMedical Relation Extraction
5 papers · 1 benchmark
CMeIE (Chinese Medical Information Extraction Dataset)
Chinese Medical Information Extraction, a dataset that is also released in CHIP2020, is used for CMeIE task.
TextsMedicalMedical Relation Extraction
1 paper · 1 benchmark
EU-ADR
The EU-ADR corpus is a biomedical relation extraction dataset that contains 100 abstracts, with relations between drug, disorder, and targets.
TextsMedical Relation Extraction
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.