This contains the IFEval correctness preference evaluation set for Preference Proxy Evaluations.
The prompts are sampled from IFEval.
This dataset is meant for benchmarking and evaluation, not for training.
User prompts are licensed under Apache-2.0, and model outputs are governed by the terms of use set by the respective model providers.
@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},
}
This contains the IFEval correctness preference evaluation set for Preference Proxy Evaluations.
The prompts are sampled from IFEval.
This dataset is meant for benchmarking and evaluation, not for training.
User prompts are licensed under Apache-2.0, and model outputs are governed by the terms of use set by the respective model providers.
@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},
}