---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: domain
    dtype: string
  - name: language
    dtype: string
  - name: chosen
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  - name: rejected
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  splits:
  - name: train
    num_bytes: 315769256.757846
    num_examples: 36299
  - name: validation
    num_bytes: 16148935.32969757
    num_examples: 1920
  download_size: 164143188
  dataset_size: 331918192.08754355
---
```bibtex
@misc{wang2025helpsteer3preferenceopenhumanannotatedpreference,
      title={HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages}, 
      author={Zhilin Wang and Jiaqi Zeng and Olivier Delalleau and Hoo-Chang Shin and Felipe Soares and Alexander Bukharin and Ellie Evans and Yi Dong and Oleksii Kuchaiev},
      year={2025},
      eprint={2505.11475},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.11475}, 
}

@misc{wang2025helpsteer3humanannotatedfeedbackedit,
      title={HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks}, 
      author={Zhilin Wang and Jiaqi Zeng and Olivier Delalleau and Daniel Egert and Ellie Evans and Hoo-Chang Shin and Felipe Soares and Yi Dong and Oleksii Kuchaiev},
      year={2025},
      eprint={2503.04378},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2503.04378}, 
}
```