wabdalm/kvqa

KVQA: Knowledge-aware Visual Question Answering KVQA is a visual question-answering dataset created by Sanket Shah, Anand Mishra, Naganand Yadati, and Partha Pratim Talukdar at IIIT Hyderabad / IISc. It is designed for questions about named entities in images that require world knowledge and reasoning over a knowledge graph. The original release contains 24,602 images, approximately 183,000 manually verified question-answer pairs, more than 18,000 named entities, and a… See the full description on the dataset page: https://huggingface.co/datasets/wabdalm/kvqa.