C-SLAKE Dataset

Here we made the C-SLAKE publicly. The motivation for this dataset is to ensure the robustness of our model . We extend the publicly available Med-VQA dataset Slake to a consistent Med-VQA dataset C-SLAKE for further consistency assessment.

The dadaset can be used for general Med-VQA task, and also for testing model consistency.

Folder structure

This is the folder structure of the dataset:

📦C-SLAKE
┣📂imgs
┃┗Contains images and corresponding question and answer pairs.
┣📂train
┃┗Contains train question answer pairs.
┣📂validate
┃┗Contains validate question answer pairs.
┣📂test
┃┗Contains test question answer pairs.

You can download the image from the above link and put it in the C-SLAKE folder.

Question types

The questions in our dataset are selected from the Slake dataset. We conducted role-tag annotation humanly to establish connections between interconnected question-answer pairs corresponding to the identified medical images. Diagnostic question-answer pairs are categorized into three distinct roles. The distribution of role-type questions is presented in the following table.

Statistics of question in different role types over training, validation, and testing sets:

Role-type	train	Val	Test	Total
Main	1222	237	246	1705
Context	814	158	170	1142
Ind	2294	514	508	3316
Overall	4330	909	924	6163

The C-SLAKE dataset encompasses a diverse array of medical materials,including Computed Tomography (CT) scans, Magnetic Resonance Imaging (MRI)scans, and X-Ray images. The distribution of it is presented in the following table:

The distribution of diverse array of medical materials

Modality-type	nums
CT	282
MRI	181
X-Ray	179
Overall	642

Acknowledgement

This dataset was extended by Slake. We thank the original authors for their work and open source dataset.