Sign inGet started
Dataset · Hugging Face

thu-coai/SafetyBench

SafetyBench is a comprehensive benchmark for evaluating the safety of LLMs, which comprises 11,435 diverse multiple choice questions spanning across 7 distinct categories of safety concerns. Notably, SafetyBench also incorporates both Chinese and English data, facilitating the evaluation in both languages. Please visit our GitHub and website or check our paper for more details. We release three differents test sets including Chinese testset (test_zh.json), English testset (test_en.json) and… See the full description on the dataset page: https://huggingface.co/datasets/thu-coai/SafetyBench.

Author / organizationthu-coai
License (as declared)mit
Downloads954 (as reported by Hugging Face)
Likes36
Created12 September 2023
Last updated at source14 September 2023
Embed this entry
<iframe src="https://silytics.si/embed/item/7026faea-1e50-4266-80ae-5ccd1715e7a8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from thu-coai

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 Information may be incomplete or out of date.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.