stanford-crfm/air-bench-2024
AIRBench 2024 AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy. Dataset Details Dataset Description AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts… See the full description on the dataset page: https://huggingface.co/datasets/stanford-crfm/air-bench-2024.
| Author / organization | stanford-crfm |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 4.5K (as reported by Hugging Face) |
| Likes | 26 |
| Created | 5 June 2024 |
| Last updated at source | 14 August 2024 |
Popularity, last 5 days
4,488 now (-269 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: AIRBench 2024 AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2 → AIRBench 2024 AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2
Changes detected by Silytics between refreshes of the source.
More from stanford-crfm
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.