Datasets:

yueliu1999
/

GuardReasoner-VLTrain

language:
  - en
license: mit
size_categories:
  - 100K<n<1M
task_categories:
  - image-text-to-text
configs:
  - config_name: default
    data_files:
      - split: image
        path: GuardReasoner-VLTrainImage.json
      - split: text
        path: GuardReasoner-VLTrainText.json
      - split: text_image
        path: GuardReasoner-VLTrainTextImage.json

GuardReasoner-VLTrain

GuardReasoner-VLTrain is the training data for R-SFT of GuardReasoner-VL, as described in the paper GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.

Code: https://github.com/yueliu1999/GuardReasoner-VL/

Usage

from datasets import load_dataset

# Login using e.g. `huggingface-cli login` to access this dataset
ds = load_dataset("yueliu1999/GuardReasoner-VLTrain")

Citation

If you use this dataset, please cite our paper.

@article{GuardReasoner,
  title={GuardReasoner: Towards Reasoning-based LLM Safeguards},
  author={Liu, Yue and Gao, Hongcheng and Zhai, Shengfang and Jun, Xia and Wu, Tianyi and Xue, Zhiwei and Chen, Yulin and Kawaguchi, Kenji and Zhang, Jiaheng and Hooi, Bryan},
  journal={arXiv preprint arXiv:2501.18492},
  year={2025}
}

@article{GuardReasoner-VL,
  title={GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning},
  author={Liu, Yue and Zhai, Shengfang and Du, Mingzhe and Chen, Yulin and Cao, Tri and Gao, Hongcheng and Wang, Cheng and Li, Xinfeng and Wang, Kun and Fang, Junfeng and Zhang, Jiaheng and Hooi, Bryan},
  journal={arXiv preprint arXiv:2505.11049},
  year={2025}
}