Update README.md

README.md

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 # 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 **28 fine‑grained safety sub‑dimensions**.  Each example links to a YouTube video segment via `YoutubeID + start/end timestamp`, includes a rich textual description, and provides adversarial questions explicitly crafted to probe safety vulnerabilities.
+`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 description, and provides adversarial questions explicitly crafted to probe safety vulnerabilities.
 
 ## Supported Tasks
 | Task | Description | Metrics |