This paper presents OnCoCo 1.0, a new public dataset for fine-grained message classification in online counseling. It is based on a new, integrative system of categories, designed to improve the automated analysis of psychosocial online counseling conversations. Existing category systems, predominantly based on Motivational Interviewing (MI), are limited by their narrow focus and dependence on datasets derived mainly from face-to-face counseling. This limits the detailed examination of textual counseling conversations. In response, we developed a comprehensive new coding scheme that differentiates between 38 types of counselor and 28 types of client utterances, and created a labeled dataset consisting of about 2.800 messages from counseling conversations. We fine-tuned several models on our dataset to demonstrate its applicability. The data and models are publicly available to researchers and practitioners. Thus, our work contributes a new type of fine-grained conversational resource to the language resources community, extending existing datasets for social and mental-health dialogue analysis.
DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling
Shanghai Institute of Artificial Intelligence for Education, East China Normal University（上海教育人工智能研究院，东华师范大学）；School of Computer Science and Technology, East China Normal University（计算机科学与技术学院，东华师范大学）；School of Psychology and Cognitive Science, East China Normal University（心理学与认知科学学院，东华师范大学）
UKP Lab, Department of Computer Science and Hessian Center for AI (hessian.AI), Technische Universität Darmstadt（德国达姆施塔特技术大学UKP实验室、计算机科学系和海森人工智能中心（hessian.AI））；Zuse School ELIZA（Zuse学院ELIZA）；National Research Center for Applied Cybersecurity ATHENE（应用网络安全国家研究中心ATHENE）；Indian Institute of Technology Delhi（印度德里理工学院）；Yardi School of Artificial Intelligence（Yardi人工智能学院）；University of Louisville（路易斯维尔大学）；University of Toledo（托莱多大学）
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs
Zhejiang University（浙江大学）；School of Engineering, Westlake University（西湖大学工程学院）；Westlake University（西湖大学）；Westlake University Research Center for Industries of the Future（西湖大学未来产业研究中心）；Hangzhou Normal University（杭州师范大学）
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
Huazhong University of Science and Technology（华中科技大学）；Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；University of Macau（澳门大学）；University of Science and Technology of China（中国科学技术大学）；Jilin University（吉林大学）；South China University of Technology（华南理工大学）；Shenzhen MSU-BIT University（深圳北理莫斯科大学）
Fostering Natural Conversation in Large Language Models with NICO: a Natural Interactive COnversation dataset
International Digital Economy Academy（国际数字经济学院）；University of California, Los Angeles（加利福尼亚大学洛杉矶分校）；University of Michigan, Ann Arbor（密歇根大学安娜堡分校）；Simon Fraser University（西蒙菲莎大学）
