flaviagiammarino commited on
Commit
9279579
1 Parent(s): 59fab7e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +12 -12
README.md CHANGED
@@ -11,25 +11,25 @@ size_categories:
11
  - 10K<n<100K
12
  ---
13
 
14
- # PathVQA
15
-
16
- PathVQA is a dataset of question-answer pairs on pathology images. The questions are similar to those in the
17
- American Board of Pathology (ABP) test. The dataset includes both open-ended questions and binary "yes/no"
18
- questions. The dataset is built from two publicly-available pathology textbooks: "Textbook of Pathology" and
19
- "Basic Pathology", and a publicly-available digital library: "Pathology Education Informational Resource"
20
- (PEIR). The copyrights of images and captions belong to the publishers and authors of these two books,
21
- and the owners of the PEIR digital library.<br>
22
  ![image](image.png)<br>
23
- **Paper:** [PathVQA: 30000+ Questions for Medical Visual Question Answering](https://arxiv.org/abs/2003.10286)<br>
24
  **Repository:** [PathVQA Official GitHub Repository](https://github.com/UCSD-AI4H/PathVQA)<br>
 
25
  **Leaderboard:** [Papers with Code Leaderboard](https://paperswithcode.com/sota/medical-visual-question-answering-on-pathvqa)
26
 
27
- ## Dataset Summary
28
  The data was obtained from the updated Google Drive link shared by the authors on Feb 15, 2023,
29
  see the [commit](https://github.com/UCSD-AI4H/PathVQA/commit/117e7f4ef88a0e65b0e7f37b98a73d6237a3ceab)
30
  in the GitHub repository. This version of the dataset contains a total of 5,004 images and 32,795 question-answer pairs.
31
  Out of the 5,004 images, 4,289 images are referenced by a question-answer pair, while 715 images are not used.
32
- There are a few duplicate image-question-answer triplets which occur more than once in the same split (training, validation, test).
33
  After dropping the duplicate image-question-answer triplets, the dataset contains 32,632 question-answer pairs on 4,289 images.
34
-
 
35
 
 
11
  - 10K<n<100K
12
  ---
13
 
14
+ ## Dataset Description
15
+ PathVQA is a dataset of question-answer pairs on pathology images. The dataset is intended to be used for training and testing
16
+ Medical Visual Question Answering (VQA) systems. The questions contained in the dataset are similar to those in the American
17
+ Board of Pathology (ABP) test. The dataset includes both open-ended questions and binary "yes/no" questions. The dataset is
18
+ built from two publicly-available pathology textbooks: "Textbook of Pathology" and "Basic Pathology", and a publicly-available
19
+ digital library: "Pathology Education Informational Resource" (PEIR). The copyrights of images and captions belong to the
20
+ publishers and authors of these two books, and the owners of the PEIR digital library.<br>
 
21
  ![image](image.png)<br>
 
22
  **Repository:** [PathVQA Official GitHub Repository](https://github.com/UCSD-AI4H/PathVQA)<br>
23
+ **Paper:** [PathVQA: 30000+ Questions for Medical Visual Question Answering](https://arxiv.org/abs/2003.10286)<br>
24
  **Leaderboard:** [Papers with Code Leaderboard](https://paperswithcode.com/sota/medical-visual-question-answering-on-pathvqa)
25
 
26
+ ### Dataset Summary
27
  The data was obtained from the updated Google Drive link shared by the authors on Feb 15, 2023,
28
  see the [commit](https://github.com/UCSD-AI4H/PathVQA/commit/117e7f4ef88a0e65b0e7f37b98a73d6237a3ceab)
29
  in the GitHub repository. This version of the dataset contains a total of 5,004 images and 32,795 question-answer pairs.
30
  Out of the 5,004 images, 4,289 images are referenced by a question-answer pair, while 715 images are not used.
31
+ There are a few image-question-answer triplets which occur more than once in the same split (training, validation, test).
32
  After dropping the duplicate image-question-answer triplets, the dataset contains 32,632 question-answer pairs on 4,289 images.
33
+
34
+ #### Supported Tasks and Leaderboards
35