HeAAAAA/Crab-role-playing-evaluation-benchmark

📄 Paper | 📄 Github
💬 Role-playing Model | 💬 Role-palying Evaluation Model
💬 Training Dataset | 💬 Evaluation Benchmark | 💬 Annotated Role-playing Evaluation Dataset | 💬 Human-preference Dataset

1. Introduction

This is the dataset used for evalauating a role‑playing LLM.

More details can be seen at GitHub and Crab Homepage.

key	value
uid	index
system	system prompt, including role profile
conversation	multi-turn conversation between user & bot

2. Usage

 
from datasets import load_dataset 

dataset = load_dataset("HeAAAAA/Crab-role-playing-evaluation-benchmark") 

for k, v in dataset["train"][0].items(): 
  print(f"{k}: {v}\n") 

3. Four Datasets

We totally publish three datasets, including :

1. Crab role-playing train set : the dataset used for fine‑tuning a role‑playing LLM.
2. Crab role-playing evaluation benchmark :the dataset used for evalauating a role‑playing LLM.
3. Manually annotated role-playing evaluation dataset: the dataset used for training a evaluator for role‑playing tasks.
4. Crab Human preference dataset: the dataset used to train a role‑playing LLM via reinforcement learning

4. Fine-tuned Role-playing Model

We release a fine-tuned Role-playin LLM to achieve configurable Role-Playing tasks:

Download Link

5. Role-palying Evaluation Model

We release a trained LLM to automate the evaluation of role-playing tasks:

Download Link

6. Citation

@inproceedings{he2025Crab,
  title={Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark},
  author={Kai, He and Yucheng, Huang and  Wenqing,  Wang  and   Delong,  Ran  and   Dongming,  Sheng  and   Junxuan,  Huang  and   Qika,  Lin and Jiaxing,  Xu  and  Wenqiang,  Liu and  Mengling,  Feng},
  booktitle={Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year={2025}
}