---
license: mit
task_categories:
- visual-question-answering
language:
- en
tags:
- medical
pretty_name: PathVQA
size_categories:
- 10K<n<100K
---

# PathVQA

PathVQA is a dataset of question-answer pairs on pathology images. The questions are similar to those in the
American Board of Pathology (ABP) test. The dataset includes both open-ended questions and binary "yes/no"
questions. The dataset is built from two publicly-available pathology textbooks: "Textbook of Pathology" and
"Basic Pathology", and a publicly-available digital library: "Pathology Education Informational Resource"
(PEIR). The copyrights of images and captions belong to the publishers and authors of these two books,
and the owners of the PEIR digital library.<br> 
![image](image.png)<br>
**Paper:** [PathVQA: 30000+ Questions for Medical Visual Question Answering](https://arxiv.org/abs/2003.10286)<br>
**Repository:** [PathVQA Official GitHub Repository](https://github.com/UCSD-AI4H/PathVQA)<br>
**Leaderboard:** [Papers with Code Leaderboard](https://paperswithcode.com/sota/medical-visual-question-answering-on-pathvqa)

## Dataset Summary
The data was obtained from the updated Google Drive link shared by the authors on Feb 15, 2023, 
see the [commit](https://github.com/UCSD-AI4H/PathVQA/commit/117e7f4ef88a0e65b0e7f37b98a73d6237a3ceab)
in the GitHub repository. This version of the dataset contains a total of 5,004 images and 32,795 question-answer pairs. 
Out of the 5,004 images, 4,289 images are referenced by a question-answer pair, while 715 images are not used.
Furthermore, there are several duplicates, i.e. there are some image-question-answer triplets which occur
more than once in the same split (training, validation, test). After dropping the duplicate image-question-answer
triplets, the dataset contains 32,632 question-answer pairs on 4,289 images.