Omkar2118/datasets huggingface dataset:
SLAKE

SLAKE is an English-Chinese bilingual dataset consisting of 642 images and 14,028 question-answer pairs for training and testing Med-VQA systems.

Introducing paper: SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
Synthetic Graph

We include five substructure counting tasks: 3-stars, triangles, tailed triangles, chordal cycles and attributed triangles. 3-star is a subgraph-counting task while the remaining are induced-subgraph-counting.

Introducing paper: Can Graph Neural Networks Count Substructures?
OVQA

OVQA contains 19,020 medical visual question and answer pairs generated from 2,001 medical images collected from 2,212 EMRs in Orthopedics.

Introducing paper: OVQA: A Clinically Generated Visual Question Answering Dataset