Realtime-QA-100K is a 100K-sample realtime video question answering dataset constructed from YouTube videos. Each sample contains a multimodal conversation and frame timestamp metadata that aligns every <|video|> token in the assistant text with one video frame timestamp.

Open-source training subset. Realtime-QA-100K is the open-source subset of the real-time training data for MOSS-Video-Preview… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/Realtime-QA-100K.