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MedQuAD Dataset
- paperswithcode.com
Updated Feb 16, 2024
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EmailClick to copy linkLink copiedCiteAsma Ben Abacha; Dina Demner-Fushman (2024). MedQuAD Dataset [Dataset]. https://paperswithcode.com/dataset/medquadDataset updatedFeb 16, 2024AuthorsAsma Ben Abacha; Dina Demner-FushmanDescriptionMedQuAD includes 47,457 medical question-answer pairs created from 12 NIH websites (e.g. cancer.gov, niddk.nih.gov, GARD, MedlinePlus Health Topics). The collection covers 37 question types (e.g. Treatment, Diagnosis, Side Effects) associated with diseases, drugs and other medical entities such as tests.
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MedQuAD (Medical Question Answering Dataset)
- opendatalab.com
zipUpdated Mar 22, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteNational Institutes of Health, USA (2023). MedQuAD (Medical Question Answering Dataset) [Dataset]. https://opendatalab.com/OpenDataLab/MedQuADzipAvailable download formatsDataset updatedMar 22, 2023Dataset provided byNational Institutes of Health, USADescriptionMedQuAD includes 47,457 medical question-answer pairs created from 12 NIH websites (e.g. cancer.gov, niddk.nih.gov, GARD, MedlinePlus Health Topics). The collection covers 37 question types (e.g. Treatment, Diagnosis, Side Effects) associated with diseases, drugs and other medical entities such as tests.
We included additional annotations in the XML files, that could be used for diverse IR and NLP tasks, such as the question type, the question focus, its syonyms, its UMLS Concept Unique Identifier (CUI) and Semantic Type. We added the category of the question focus (Disease, Drug or Other) in the 4 MedlinePlus collections. All other collections are about diseases.
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Medical Question Answering Dataset
MedQuAD includes 47,457 medical question-answer pairs created from 12 NIH websites (e.g. cancer.gov, niddk.nih.gov, GARD, MedlinePlus Health Topics). The collection covers 37 question types (e.g. Treatment, Diagnosis, Side Effects) associated with diseases, drugs and other medical entities such as tests.