language:
- zh
pretty_name: OpenGuardrailsMixZh_97k
OpenGuardrailsMixZh 97k
- Repository: openguardrails/OpenGuardrailsMixZh_97k
- License: Apache 2.0
- Paper: OpenGuardrails: An Open-Source Context-Aware AI Guardrails Platform
- Code: openguardrails/openguardrails
📘 Dataset Summary
OpenGuardrailsMixZh 97k is a large-scale Chinese safety dataset collection introduced in the OpenGuardrails paper.
It consists of 97,000 Chinese samples curated, translated, and aligned from several well-known English safety datasets, designed for multilingual safety evaluation and guardrail model training.
This dataset provides a diverse coverage of safety-related scenarios such as:
- Toxic and unsafe language
- Jailbreak and prompt-injection attempts
- Ethical and legal compliance
- Sensitive topics and harmful instructions
📚 Source Composition
OpenGuardrailsMixZh combines translated and aligned subsets from the following datasets:
| Source Dataset | Description | License |
|---|---|---|
| ToxicChat | Multi-turn dialogues containing toxicity and moderation-relevant language | CC BY 4.0 |
| WildGuardMix | Diverse unsafe prompts for red-teaming and alignment | Apache 2.0 |
| PolyGuard | Multi-lingual safety dataset for LLM guardrails | Apache 2.0 |
| XSTest | Cross-lingual safety test dataset | Apache 2.0 |
| BeaverTails | Large-scale red teaming dataset for safety and refusal behavior | Apache 2.0 |
All datasets were machine-translated to ensure high-quality Chinese representations.
📊 Dataset Statistics
| Attribute | Value |
|---|---|
| Total Samples | 97,000 |
| Languages | Chinese (Simplified) |
| Tasks | Safety classification, refusal prediction, toxicity detection |
| Avg. Tokens per sample | ~180 |
| Data Type | Instruction–Response pairs with safety annotations |
🧠 Intended Uses
- Fine-tuning and evaluating Chinese guardrail models
- Benchmarking multilingual LLM safety performance
- Research on cross-lingual safety transfer and alignment robustness
Limitations
- Some translations may lose subtle cultural or contextual nuances.
- Safety labels were aligned from English datasets and may not fully capture Chinese socio-cultural sensitivities.
- The dataset is intended for research purposes only, not for deployment in production without additional validation.
Citation
If you use this dataset, please cite the following paper:
@misc{openguardrails,
title={OpenGuardrails: An Open-Source Context-Aware AI Guardrails Platform},
author={Thomas Wang and Haowen Li},
year={2025},
url={https://arxiv.org/abs/2510.19169},
}
License
This dataset is released under the Apache 2.0 License.
Please refer to the original source datasets for their respective licenses when using subsets.
Acknowledgements
We thank the creators of ToxicChat, WildGuardMix, PolyGuard, XSTest, and BeaverTails for making their datasets publicly available, enabling cross-lingual safety research.