walledai/XSTest

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models Paper: XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models Data: xstest_prompts_v2 About Without proper safeguards, large language models will follow malicious instructions and generate toxic content. This motivates safety efforts such as red-teaming and large-scale feedback learning, which aim to make models both helpful and harmless.… See the full description on the dataset page: https://huggingface.co/datasets/walledai/XSTest.

<iframe src="https://silytics.si/embed/item/02921710-1d94-40a7-9efe-4fbd3394937b" 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 Information may be incomplete or out of date.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.