yxwang/SafeVid-350K
Dataset Card for SafeVid‑350K Dataset Summary 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… See the full description on the dataset page: https://huggingface.co/datasets/yxwang/SafeVid-350K.
| Author / organization | yxwang |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 197 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 12 May 2025 |
| Last updated at source | 27 November 2025 |
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- 17 Oct 2026 Description: Dataset Card for SafeVid‑350K Dataset Summary 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 → Dataset Card for SafeVid‑350K Dataset Summary 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
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