abachaa/MEDIQA2019

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abachaa/MEDIQA2019

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Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019

MedQuAD

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

Existing-Medical-QA-Datasets

Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

VQA-Med-2019

Visual Question Answering in the Medical Domain VQA-Med 2019

MTS-Dialog

A new collection of 1.7k doctor-patient conversations and corresponding clinical notes/summaries.

MEDIQA-Chat-2023

MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023

LiveQA_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

RQE_Data_AMIA2016

The medical question entailment data introduced in the AMIA 2016 Paper (Recognizing Question Entailment for Medical Question Answering)

Medication_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)

VQA-Med-2020

MEDIQA-CORR-2024

Jupyter Notebook

3D-MIR

3D Medical Image Retrieval in Radiology

Jupyter Notebook

ImageCLEF-CaptionTask-2021

ImageCLEFmed 2021 - Caption Prediction and Concept Detection Tasks

EvaluationMetrics-ACL23