MeDiaPQA: A Question-Answering Dataset on Persian Medical Dialogues

Published: 16 May 2023| Version 1 | DOI: 10.17632/k7tzmrhr6n.1
Contributors:
,
, Mohammad Reza Feizi Derakhshi

Description

We present the MeDiaPQA: a question-answering dataset on Persian medical dialogues. This dataset has been gathered under the supervision of ComInSys Lab. In this project, we have extracted a novel dataset from dialogues taking place between doctors and patients to contain 15748 dialogues covering more than 70 specialities. The mentioned dialogues are in the form of questions and doctors’ multiple-choice answers. We have collected these as 7704 question-answer pairs.

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Institutions

University of Tabriz

Categories

Natural Language Processing

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