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README.md

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 license: apache-2.0
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+
+
+**Dataset Card for LifeTox**
+
+As large language models become increasingly integrated into daily life, detecting implicit toxicity across diverse contexts is crucial. To this end, we introduce *LifeTox*, a dataset designed for identifying implicit toxicity within a broad range of advice-seeking scenarios. Unlike existing safety datasets, *LifeTox* comprises diverse contexts derived from personal experiences through open-ended questions. Our experiments demonstrate that RoBERTa fine-tuned on *LifeTox* matches or surpasses the zero-shot performance of large language models in toxicity classification tasks. These results underscore the efficacy of *LifeTox* in addressing the complex challenges inherent in implicit toxicity.
+
+**LifeTox Moderator 7B**
+
+LifeTox Moderator 7B is based on [Llama-2-7b-chat-hf](meta-llama/Llama-2-7b-chat-hf). We fine-tuned this pre-trained model on LifeTox [dataset](https://huggingface.co/datasets/mbkim/LifeTox). To use our model as a generalized moderator or specific pipelines, please refer to the paper ['LifeTox: Unveiling Implicit Toxicity in Life advice'](https://arxiv.org/abs/2311.09585). LifeTox Moderator 7B is trained as a toxicity classifier as
+```
+Input: "[INST] Evaluate the toxicity of answer for given questions. You should only label as 'Unsafe' or 'Safe' [/INST]\n" + "Question: " +  item['query'] + "\nAnswer: " + item[‘response’] + "\nLabel"
+Output: GT_Label (Safe or Unsafe)
+```
+
+### LifeTox Sources
+
+- **Paper:** [arxiv](https://arxiv.org/abs/2311.09585)
+- **dataset:** [data](https://huggingface.co/datasets/mbkim/LifeTox)
+- **LifeTox Moderator 350M:** [model](https://huggingface.co/mbkim/LifeTox_Moderator_350M)
+- **LifeTox Moderator 7B:** [model](https://huggingface.co/mbkim/LifeTox_Moderator_7B)
+- **LifeTox Moderator 13B:** [model](https://huggingface.co/mbkim/LifeTox_Moderator_13B)
+
+**BibTeX:**
+```
+@article{kim2023lifetox,
+  title={LifeTox: Unveiling Implicit Toxicity in Life Advice},
+  author={Kim, Minbeom and Koo, Jahyun and Lee, Hwanhee and Park, Joonsuk and Lee, Hwaran and Jung, Kyomin},
+  journal={arXiv preprint arXiv:2311.09585},
+  year={2023}
+}
+```