lmarena-ai/PPE-Human-Preference-V1

Dataset

10

stars

7

commits

1

linked in READMEs

Oct 22, 2024

updated

README

Overview

This contains the human preference evaluation set for Preference Proxy Evaluations.

This dataset is meant for benchmarking and evaluation, not for training.

Paper

Code

License

User prompts are licensed under CC-BY-4.0, and model outputs are governed by the terms of use set by the respective model providers.

Citation

@misc{frick2024evaluaterewardmodelsrlhf,
      title={How to Evaluate Reward Models for RLHF}, 
      author={Evan Frick and Tianle Li and Connor Chen and Wei-Lin Chiang and Anastasios N. Angelopoulos and Jiantao Jiao and Banghua Zhu and Joseph E. Gonzalez and Ion Stoica},
      year={2024},
      eprint={2410.14872},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2410.14872}, 
}

Contributors

evanfrick

5 commits

Timmli

2 commits

lmarena-ai/PPE-Human-Preference-V1

Dataset

10

stars

7

commits

1

linked in READMEs

Oct 22, 2024

updated

README

Overview

This contains the human preference evaluation set for Preference Proxy Evaluations.

This dataset is meant for benchmarking and evaluation, not for training.

Paper

Code

License

User prompts are licensed under CC-BY-4.0, and model outputs are governed by the terms of use set by the respective model providers.

Citation

@misc{frick2024evaluaterewardmodelsrlhf,
      title={How to Evaluate Reward Models for RLHF}, 
      author={Evan Frick and Tianle Li and Connor Chen and Wei-Lin Chiang and Anastasios N. Angelopoulos and Jiantao Jiao and Banghua Zhu and Joseph E. Gonzalez and Ion Stoica},
      year={2024},
      eprint={2410.14872},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2410.14872}, 
}

Linked in READMEs

Contributors

evanfrick

5 commits

Timmli

2 commits