@inproceedings{abbasi-etal-2025-hamraz,
    title = "{H}am{R}az: A Culture-Based {P}ersian Conversation Dataset for Person-Centered Therapy Using {LLM} Agents",
    author = "Abbasi, Mohammad Amin  and
      Mirnezami, Farnaz Sadat  and
      Neshati, Ali  and
      Naderi, Hassan",
    editor = "Arachchige, Isuri Nanomi  and
      Frontini, Francesca  and
      Mitkov, Ruslan  and
      Rayson, Paul",
    booktitle = "Proceedings of the First on Natural Language Processing and Language Models for Digital Humanities",
    month = sep,
    year = "2025",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/corrections-2026-01/2025.lm4dh-1.1/",
    pages = "1--24",
    abstract = "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 real-ism. This resource contributes to the Digital Humanities by bridging language, culture, and mental health in underrepresented communities."
}