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iknow-lab/wildguardmix-train-ko-11k

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Hugging Face2024-10-19 更新2025-04-12 收录
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--- dataset_info: features: - name: prompt dtype: string - name: adversarial dtype: bool - name: response dtype: string - name: prompt_harm_label dtype: string - name: response_refusal_label dtype: string - name: response_harm_label dtype: string - name: subcategory dtype: string - name: prompt_ko dtype: string - name: response_ko dtype: string splits: - name: train num_bytes: 48289970 num_examples: 11105 download_size: 24569189 dataset_size: 48289970 configs: - config_name: default data_files: - split: train path: data/train-* license: odc-by task_categories: - text-classification language: - ko size_categories: - 10K<n<100K --- - Original dataset: [allenai/wildguardmix](https://huggingface.co/datasets/allenai/wildguardmix) - Translated by [nayohan/llama3-instrucTrans-enko-8b](https://huggingface.co/nayohan/llama3-instrucTrans-enko-8b) ``` @misc{wildguard2024, title={WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs}, author={Seungju Han and Kavel Rao and Allyson Ettinger and Liwei Jiang and Bill Yuchen Lin and Nathan Lambert and Yejin Choi and Nouha Dziri}, year={2024}, eprint={2406.18495}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2406.18495}, } ```
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