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README.md

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 # OpenSafetyMini
 
-> ⚠️ **Content warning:** this dataset contains prompts and model responses that may be offensive, harmful, or disturbing.
+OpenSafetyMini is a hard, open-ended safety benchmark for LLMs. 
 
-OpenSafetyMini is a hard, open-ended safety benchmark for LLMs. It has **1,067 human-curated English prompts** and **21,328 human safety labels** for model responses. It was released with the paper [*Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models*](https://ieeexplore.ieee.org/iel8/6287639/6514899/11563799.pdf).
+It has **1,067 human-curated English prompts** and **21,328 human safety labels** for model responses. 
+
+The dataset was released with the paper [*Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models*](https://ieeexplore.ieee.org/iel8/6287639/6514899/11563799.pdf).
 
 - **Paper:** https://ieeexplore.ieee.org/iel8/6287639/6514899/11563799.pdf
 - **Code & prompts:** https://github.com/On-Point-RND/OpenSafetyMini-Investigating-the-Impact-of-Quantization-Methods-on-the-Safety-and-Reliability-of-LLM