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Medical Data for Machine Learning

A curated catalog of datasets, corpora, benchmarks, and public data resources for medical AI, clinical NLP, biomedical NLP, imaging, knowledge graphs, retrieval, and evaluation.

Important: this repository is an index, not a redistribution point. Always verify the source license, data-use agreement (DUA), patient-data restrictions, and commercial-use terms before using a dataset.

Find data by task

I want data for… Start here
Medical image classification, detection, segmentation, registration Medical imaging
Clinical records, ICU/EHR modeling, concept embeddings Clinical & EHR
Clinical or biomedical named entity recognition Clinical & Biomedical NER
Entity linking / terminology normalization Entity Linking & Normalization
Relation / triple extraction and knowledge graph construction Knowledge Extraction & KGs
Biomedical QA, retrieval, semantic indexing, clinical summarization BioASQ
Clinical NLP shared tasks using real clinical notes n2c2 / i2b2
Precision-medicine / clinical information retrieval TREC
National/public healthcare data National Healthcare Data
Biomedical literature and document corpora Biomedical Literature
Medical speech Medical Speech
Classic tabular medical ML datasets UCI Medical Datasets
Medical-AI challenges and competitions Challenges & Benchmarks
Patient acuity, ML metrics, agentic-AI evaluation Evaluation & Agentic Benchmarks

Browse by modality

Imaging · Clinical text · Biomedical literature · Structured EHR · Claims · Terminology/KG · Speech · Physiological signals · Population/public-health data

Biomedical NLP at a glance

flowchart TD
  A[Clinical / Biomedical Text] --> B[NER]
  B --> C[Entity Normalization]
  C --> D[Relation Extraction]
  D --> E[Knowledge / Triple Extraction]
  E --> F[Knowledge Graph / Retrieval]
  F --> G[QA · Reasoning · Validation]
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Clinical NLP and biomedical-literature NLP overlap, but they are not identical. Clinical datasets commonly contain EHR notes, discharge summaries, medications, tests, problems, PHI, temporal expressions, and procedures. Biomedical corpora commonly use PubMed/PMC and annotate diseases, chemicals, genes/proteins, species, variants, cell lines, and relations.

Access labels used in this catalog

Label Meaning
OPEN Public download or openly accessible resource; still verify license/terms
REGISTRATION Account or challenge registration required
DUA Data Use Agreement / credentialed access required
REQUEST Access by request to authors/organizers
RESTRICTED Usage restrictions or controlled access apply
MIXED Access varies by collection/subtask

Never copy DUA-controlled clinical data into this repository. For example, n2c2 datasets are available to approved users under a DUA and may not be redistributed through GitHub.

Search this repository

GitHub repository search works well once the catalog is split into topic files. Useful search terms include:

NER · SNOMED · RxNorm · MIMIC · MRI · relation extraction · knowledge graph · BioASQ · access:open

Dataset entries also use lightweight metadata such as:

task:ner modality:clinical-text access:dua terminology:snomed-ct

Catalog


#Dis This repository is provided for informational and research-discovery purposes only. Dataset descriptions can become stale; the authoritative source is always the dataset owner or challenge organizer.

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A curated catalog of datasets, corpora, benchmarks, and public data resources for medical AI, clinical NLP, biomedical NLP, imaging, knowledge graphs, retrieval, and evaluation.

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