# PMC-VQA Dataset

- [PMC-VQA Dataset](#pmc-vqa-dataset)
  - [Daraset Structure](#daraset-structure)
  - [Sample](#sample)

## Daraset Structure

**PMC-VQA** (version-1: 227k VQA pairs of 149k images).

- `train.csv`: metafile of train set
- `test.csv`: metafile of test set
- `test_clean.csv`: metafile of test clean set
- `images.zip`: images folder
- 
(**update** version-2: noncompound images).

- `train2.csv`: metafile of train set
- `test2.csv`: metafile of test set
- `images2.zip`: images folder
- 
## Sample

A row in `train.csv` is shown bellow,

| Figure_path  | PMC1064097_F1.jpg                             |
| ------------ | --------------------------------------------- |
| Question     | What is the uptake pattern in the breast?     |
| Answer       | Focal uptake pattern                          |
| Choice A     | A:Diffuse uptake pattern                      |
| Choice B     | B:Focal uptake pattern                        |
| Choice C     | C:No uptake pattern                           |
| Choice D     | D:Cannot determine from the information given |
| Answer_label | B                                             |





Explanation to each key

- Figure_path: path to the image
- Question: question corresponding to the image
- Answer: the correct answer corresponding to the image
- Choice A: the provide choice A
- Choice B: the provide choice B
- Choice C: the provide choice C
- Choice D: the provide choice D
- Anwser_label: the  correct answer label


region:us
{}
TAGS
#region-us 

PMC-VQA Dataset
===============


* PMC-VQA Dataset
	+ Daraset Structure
	+ Sample


Daraset Structure
-----------------


PMC-VQA (version-1: 227k VQA pairs of 149k images).


* 'URL': metafile of train set
* 'URL': metafile of test set
* 'test\_clean.csv': metafile of test clean set
* 'URL': images folder
* 


(update version-2: noncompound images).


* 'URL': metafile of train set
* 'URL': metafile of test set
* 'URL': images folder
* 


Sample
------


A row in 'URL' is shown bellow,



Explanation to each key


* Figure\_path: path to the image
* Question: question corresponding to the image
* Answer: the correct answer corresponding to the image
* Choice A: the provide choice A
* Choice B: the provide choice B
* Choice C: the provide choice C
* Choice D: the provide choice D
* Anwser\_label: the correct answer label



TAGS
#region-us 

passage: TAGS
#region-us 
