Datasets:

Modalities:
Text
Formats:
json
Languages:
Chinese
Libraries:
Datasets
Dask
License:
CPsyExam / README.md
ChillWay's picture
Update README.md
90ec25f verified
---
language: zh
license: cc-by-4.0
datasets:
- CPsyExam
---
# CPsyExam Dataset
CPsyExam is a comprehensive dataset designed for evaluating Chinese psychological examination capabilities in large language models.
## Dataset Description
The CPsyExam dataset is structured to assess psychological examination competencies in a Chinese context. It provides a standardized way to evaluate how well language models can handle psychological assessment tasks. The dataset contains multiple-choice questions from various psychological domains, including clinical and counseling psychology.
## News 🔥
- **December 9, 2024**: Official website launched at [https://cpsyexam.xinhai.co](https://cpsyexam.xinhai.co)
- **November 30, 2024**: Our paper "CPsyExam: Chinese Benchmark for Evaluating Psychology using Examinations" has been accepted by COLING 2025! 🎉
## Data Format
The dataset is organized in JSON format with the following splits:
- Training set
- Validation set
- Test set
Each example in the dataset follows this structure:
```json
{
"subject_name": "心理学科目名称",
"question_type": "multi/single",
"kind": "knowledge",
"question": "题目内容",
"options": {
"A": "选项A内容",
"B": "选项B内容",
"C": "选项C内容",
"D": "选项D内容",
"E": "选项E内容"
},
"explanation": "题目解析说明",
"id": "唯一标识ID"
}
```
### Field Descriptions:
- `subject_name`: The specific subject area in psychology
- `question_type`: Type of question (e.g., "multi" for multiple choice)
- `kind`: Category of the question (e.g., "knowledge")
- `question`: The actual question text
- `options`: A dictionary containing the multiple choice options (A through E)
- `explanation`: Detailed explanation of the correct answer
- `id`: Unique identifier for the question
## Usage
### Loading the Dataset
```python
from datasets import load_dataset
dataset = load_dataset("CAS-SIAT-XinHai/CPsyExam")
```
### Data Preparation for Fine-tuning
For those interested in using the dataset for fine-tuning, you can prepare the data according to the [SFT](https://github.com/CAS-SIAT-XinHai/CPsyExam/blob/main/README.md#sft) section.
## Leaderboard
Track model performance and submit your results at our [leaderboard](http://cpsyexam.xinhai.co/leaderboard).
## Citation
If you use this dataset in your research, please cite:
```bibtex
@misc{CPsyExam benchmark,
title={CPsyExam: Chinese Benchmark for Evaluating Psychology using Examinations},
author={Jiahao Zhao, Jingwei Zhu, Minghuan Tan, Min Yang, Di Yang,
Chenhao Zhang, Guancheng Ye, Chengming Li, Xiping Hu},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/CAS-SIAT-XinHai/CPsyExam}}
}
```
## License
This dataset is licensed under CC-BY-4.0.
## Contact
For more information, visit our [official website](http://cpsyexam.xinhai.co).