zrwang1211/SafeAtlas-VL
SafeAtlas-VL SafeAtlas-VL is a large-scale image-grounded safety dataset with five-level ordinal safety labels for image, request, and response moderation. This release provides a 1,000,000-annotation training set covering 594,487 unique images. The complete SafeAtlas-VL dataset will be released in a future update. Dataset size Split Unique images Safety annotations train 594,487 1,000,000 test 4,979 5,000 Load with Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/zrwang1211/SafeAtlas-VL.
| Author / organization | zrwang1211 |
|---|---|
| Downloads | 265 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 August 2026 |
| Last updated at source | 1 September 2026 |
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265 now (-36 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/SafeAtlas-Guard-4B-GGUFModel · used to train
- mradermacher/SafeAtlas-Guard-2B-GGUFModel · used to train
- SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard ModelsPaper · cites
- mradermacher/SafeAtlas-Guard-8B-GGUFModel · used to train
Related papers
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