abachaa/MedQuAD
Medical question-answering dataset of 47,457 QA pairs sourced from NIH websites for training and evaluating NLP/IR systems.
Not currently ranked — collecting fresh signals.
star history
MedQuAD is a medical question-answering collection covering 37 question types across diseases, drugs, and other medical entities. The dataset includes rich annotations such as UMLS concept identifiers, semantic types, question focus categories, and synonyms. A test collection with 2,479 manually judged answers is provided for benchmarking IR and QA system performance.
Frequently asked
- What is abachaa/MedQuAD?
- Medical question-answering dataset of 47,457 QA pairs sourced from NIH websites for training and evaluating NLP/IR systems.
- Is MedQuAD open source?
- Yes — abachaa/MedQuAD is an open-source project tracked on heatdrop.
- How popular is MedQuAD?
- abachaa/MedQuAD has 455 stars on GitHub.
- Where can I find MedQuAD?
- abachaa/MedQuAD is on GitHub at https://github.com/abachaa/MedQuAD.