tags:
- Jailbreak
- Large Language Models
- Harmful Behaviors
- LLM safety
- Trustworthy AI
license: mit
extra_gated_prompt: >-
You agree to use the dataset solely for research purposes and not to misuse it
for training malicious models or aiding any illegal activities.
extra_gated_fields:
Company: text
Country: country
Specific date: date_picker
I want to use this dataset for:
type: select
options:- Research
- label: Other
value: other
I agree to use this dataset for research use ONLY: checkbox
pretty_name: ReNeLLM-Jailbreak
size_categories:
- 100M<n<1B
Dataset Details
This dataset contains jailbreak prompts generated by the ReNeLLM method on Advbench, and is intended for research use ONLY.
Dataset Sources
- Repository: https://github.com/NJUNLP/ReNeLLM
- Paper: https://arxiv.org/abs/2311.08268
Citation
If you find our dataset useful, please consider citing it as follows:
@article{ding2023wolf,
title={A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily},
author={Ding, Peng and Kuang, Jun and Ma, Dan and Cao, Xuezhi and Xian, Yunsen and Chen, Jiajun and Huang, Shujian},
journal={arXiv preprint arXiv:2311.08268},
year={2023}
}
License
This dataset, like the code, is released under MIT License.