metadata
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
@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},
}