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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.05982 |
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| _version_ | 1866909769133981696 |
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| author | Abbasi, Mohammad Amin Mirnezami, Farnaz Sadat Neshati, Ali Naderi, Hassan |
| author_facet | Abbasi, Mohammad Amin Mirnezami, Farnaz Sadat Neshati, Ali Naderi, Hassan |
| contents | We present HamRaz, a culturally adapted Persian-language dataset for AI-assisted mental health support, grounded in Person-Centered Therapy (PCT). To reflect real-world therapeutic challenges, we combine script-based dialogue with adaptive large language models (LLM) role-playing, capturing the ambiguity and emotional nuance of Persian-speaking clients. We introduce HamRazEval, a dual-framework for assessing conversational and therapeutic quality using General Metrics and specialized psychological relationship measures. Human evaluations show HamRaz outperforms existing baselines in empathy, coherence, and realism. This resource contributes to the Digital Humanities by bridging language, culture, and mental health in underrepresented communities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_05982 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | HamRaz: A Culture-Based Persian Conversation Dataset for Person-Centered Therapy Using LLM Agents Abbasi, Mohammad Amin Mirnezami, Farnaz Sadat Neshati, Ali Naderi, Hassan Computation and Language We present HamRaz, a culturally adapted Persian-language dataset for AI-assisted mental health support, grounded in Person-Centered Therapy (PCT). To reflect real-world therapeutic challenges, we combine script-based dialogue with adaptive large language models (LLM) role-playing, capturing the ambiguity and emotional nuance of Persian-speaking clients. We introduce HamRazEval, a dual-framework for assessing conversational and therapeutic quality using General Metrics and specialized psychological relationship measures. Human evaluations show HamRaz outperforms existing baselines in empathy, coherence, and realism. This resource contributes to the Digital Humanities by bridging language, culture, and mental health in underrepresented communities. |
| title | HamRaz: A Culture-Based Persian Conversation Dataset for Person-Centered Therapy Using LLM Agents |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2502.05982 |