4 datasets found

The OK-VQA dataset is a visual question answering benchmark requiring external knowledge.

FVQA is a fact-based visual question answering dataset, containing 2190 images and 5826 (question, answer) pairs, with supporting facts selected from knowledge bases.

Traditional end-to-end task-oriented dialogue systems have been built with a modularized design. However, such design often causes misalignment between the agent response and...

Grounding dialogue response generation on external knowledge to produce informative and engaging responses.