SafeVid‑350K is a large‑scale, video‑centric safety alignment dataset designed to instill Helpful, Honest, Harmless (3H) principles in Video Large Multimodal Models (VLMMs). It contains 350 000 preference pairs (chosen vs. rejected responses) covering 30 scene categories and 29 fine‑grained safety sub‑dimensions. Each example links to a YouTube video segment via YoutubeID + start/end timestamp, includes a rich textual… See the full description on the dataset page: https://huggingface.co/datasets/yxwang/SafeVid-350K.
