TeleEmbodied/UMI-VQA-8M

VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI Data for VLA Training 🔭 Overview UMI-VQA-8M is a large-scale visual question answering dataset built for UMI-style wrist-mounted fisheye observations. It contains 8 M visual question-answering samples and provides visual-language supervision for UMI observation scenarios. The dataset consists of two complementary parts: Real-World UMI VQAThis subset contains 3 M real-world… See the full description on the dataset page: https://huggingface.co/datasets/TeleEmbodied/UMI-VQA-8M.

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