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zeyun-zhong/RealTimeVideo-Instruct-112K

RealTimeVideo-Instruct-112K A real-time video QA corpus of 112,102 instruction samples. Each question is posed at the moment its answer first becomes visible in the video, so a model must answer from the current scene rather than from the whole clip. It was used, together with offline long-video QA from LLaVA-Video-178K, to train StreamTTT. Annotations only. No video is redistributed. Download each source video set from its original provider (see Video sources).… See the full description on the dataset page: https://huggingface.co/datasets/zeyun-zhong/RealTimeVideo-Instruct-112K.

Author / organizationzeyun-zhong
License (as declared)cc-by-4.0
Downloads155 (as reported by Hugging Face)
Likes0
Created28 August 2026
Last updated at source13 September 2026
videostreamingreal-timeegocentricinstruction-tuning
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