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MedQuAD
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websitesExisting-Medical-QA-Datasets
Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and SystemsVQA-Med-2019
Visual Question Answering in the Medical Domain VQA-Med 2019MEDIQA2019
Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019MTS-Dialog
A new collection of 1.7k doctor-patient conversations and corresponding clinical notes/summaries.MEDIQA-Chat-2023
MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023LiveQA_MedicalTask_TREC2017
Medical Question-Answering datasets prepared for the TREC 2017 LiveQA challenge (Medical Task)MeQSum
Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health Questions" (A. Ben Abacha & D. Demner-Fushman)MEDIQA2021
VQA-Med-2021
VQA-Med 2021Medication_QA_MedInfo2019
The gold standard corpus for medication question answering introduced in the MedInfo 2019 paper (Bridging the Gap between Consumers’ Medication Questions and Trusted Answers)RQE_Data_AMIA2016
The medical question entailment data introduced in the AMIA 2016 Paper (Recognizing Question Entailment for Medical Question Answering)VQA-Med-2020
VQA-Med 2020MEDIQA-CORR-2024
3D-MIR
3D Medical Image Retrieval in RadiologyEvaluationMetrics-ACL23
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