task_categories:
- text-generation
- text-classification
arxiv: 2601.23143
dataset_info:
features:- name: instruction
dtype: string - name: response
dtype: string - name: prompt_label
dtype: string - name: response_label
dtype: string
splits: - name: train
num_bytes: 228078417
num_examples: 39883
download_size: 120444347
dataset_size: 228078417
configs:
- name: instruction
- config_name: default
data_files:- split: train
path: data/train-*
- split: train
ThinkSafe-Qwen3-8B-WildGuard Dataset
This dataset is part of the THINKSAFE: Self-Generated Safety Alignment for Reasoning Models project.
Dataset Description
This dataset contains safety-aligned training data generated using the ThinkSafe method with Qwen3-8B and WildGuard models. It includes instructions, responses, and safety labels for both prompts and responses.
Dataset Structure
The dataset contains the following fields:
instruction: The input instruction/promptresponse: The generated responseprompt_label: Safety label for the promptresponse_label: Safety label for the response
Links
- Paper: THINKSAFE: Self-Generated Safety Alignment for Reasoning Models
- GitHub Repository: https://github.com/seanie12/ThinkSafe
Citation
@article{thinksafe2025,
title={THINKSAFE: Self-Generated Safety Alignment for Reasoning Models},
author={Lee, Seanie and others},
journal={arXiv preprint arXiv:2601.23143},
year={2025}
}