Intel/SK-VQA

Dataset Card for SQ-VQA Dataset Summary SK-VQA is a large-scale synthetic multimodal dataset containing over 2 million visual question-answer pairs, each paired with context documents that contain the information needed to answer the questions. The dataset is designed to address the critical need for training and evaluating multimodal LLMs (MLLMs) in context-augmented generation settings, particularly for retrieval-augmented generation (RAG) systems. It enables training… See the full description on the dataset page: https://huggingface.co/datasets/Intel/SK-VQA.

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