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