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    <abstract>This paper introduces AuraDial, a large-scale, human-centric dialogue dataset for Chinese AI psychological counseling, comprising over 300,000 single-turn dialogues and 90,000 multi-turn dialogue sessions. A key distinction of AuraDial is its instruction set, primarily derived from real-world user queries, better reflecting genuine expression patterns compared to synthetic or template-based alternatives. Furthermore, we propose an innovative rephrasing-based data generation methodology designed to foster more human-like and empathetic responses, addressing a common shortcoming in AI-generated dialogue. Experimental results demonstrate that models fine-tuned on AuraDial significantly outperform those trained on other public datasets in generating empathetic and relevant replies. AuraDial offers a novel, valuable resource to the Chinese NLP community for advancing AI in psychological counseling. The dataset is publicly available at https://huggingface.co/datasets/Mxode/AuraDial.</abstract>
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%0 Conference Proceedings
%T AuraDial: A Large-Scale Human-Centric Dialogue Dataset for Chinese AI Psychological Counseling
%A Zhang, Xiantao
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Findings of the Association for Computational Linguistics: EMNLP 2025
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-335-7
%F zhang-2025-auradial
%X This paper introduces AuraDial, a large-scale, human-centric dialogue dataset for Chinese AI psychological counseling, comprising over 300,000 single-turn dialogues and 90,000 multi-turn dialogue sessions. A key distinction of AuraDial is its instruction set, primarily derived from real-world user queries, better reflecting genuine expression patterns compared to synthetic or template-based alternatives. Furthermore, we propose an innovative rephrasing-based data generation methodology designed to foster more human-like and empathetic responses, addressing a common shortcoming in AI-generated dialogue. Experimental results demonstrate that models fine-tuned on AuraDial significantly outperform those trained on other public datasets in generating empathetic and relevant replies. AuraDial offers a novel, valuable resource to the Chinese NLP community for advancing AI in psychological counseling. The dataset is publicly available at https://huggingface.co/datasets/Mxode/AuraDial.
%R 10.18653/v1/2025.findings-emnlp.155
%U https://aclanthology.org/2025.findings-emnlp.155/
%U https://doi.org/10.18653/v1/2025.findings-emnlp.155
%P 2847-2863

Markdown (Informal)

[AuraDial: A Large-Scale Human-Centric Dialogue Dataset for Chinese AI Psychological Counseling](https://aclanthology.org/2025.findings-emnlp.155/) (Zhang, Findings 2025)

• AuraDial: A Large-Scale Human-Centric Dialogue Dataset for Chinese AI Psychological Counseling (Zhang, Findings 2025)

ACL

• Xiantao Zhang. 2025. AuraDial: A Large-Scale Human-Centric Dialogue Dataset for Chinese AI Psychological Counseling. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 2847–2863, Suzhou, China. Association for Computational Linguistics.