Babelscape/ALERT

Dataset Card for the ALERT Benchmark Description Paper Summary: When building Large Language Models (LLMs), it is paramount to bear safety in mind and protect them with guardrails. Indeed, LLMs should never generate content promoting or normalizing harmful, illegal, or unethical behavior that may contribute to harm to individuals or society. In response to this critical challenge, we introduce ALERT, a large-scale benchmark to assess the safety of LLMs through red… See the full description on the dataset page: https://huggingface.co/datasets/Babelscape/ALERT.

<iframe src="https://silytics.si/embed/item/2d6f90dc-a80d-466f-bd33-a7802239d509" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.