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Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health Questions" (A. Ben Abacha & D. Demner-Fushman)

MedQuAD

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

348

Existing-Medical-QA-Datasets

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

239

VQA-Med-2019

Visual Question Answering in the Medical Domain VQA-Med 2019

MEDIQA2019

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

Python

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

Python

LiveQA_MedicalTask_TREC2017

Medical Question-Answering datasets prepared for the TREC 2017 LiveQA challenge (Medical Task)

MEDIQA2021

Python

VQA-Med-2021

VQA-Med 2021

Python

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)

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 2020

Python

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

Python

abachaa/MeQSum

abachaa

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