The Chinese Psychological QA DataSet is a collection of 102,845 community Q&A pairs related to psychological topics., providing a rich source of data for research and development in psychological counseling and AI applications. Each entry includes detailed question and answer information, making it a valuable resource for understanding user queries and generating appropriate responses.
The Chinese Psychological QA DataSet is a comprehensive dataset containing 102,845 community Q&A pairs. Each entry includes detailed information such as the question title, content, answer count, reward number, and question labels. This dataset is designed to support the development of AI-powered psychological counseling tools and chatbots. It includes a wide range of topics and detailed annotations, making it suitable for tasks such as question answering, sentiment analysis, and dialogue generation. The dataset also provides statistical information like the number of comforts given to the questioner, the number of collections, and the number of replies. This dataset is valuable for researchers and developers working on psychological question-answering systems or related applications.
The National Study of Mental Health and Wellbeing provides key statistics on mental health issues in Australia, including the prevalence of mental disorders, consultations with health professionals, and the use of mental health-related medications. The study covers a wide range of mental health conditions and offers insights into the impact of mental health on individuals and society.
The ISSP is a cross-national collaboration program conducting annual surveys on diverse topics relevant to social sciences. Established in 1984, it includes members from various cultures around the globe. Over one million respondents have participated in ISSP surveys, and all collected data and documentation are available free of charge.
Dataset Card for Psychology Therapy Dataset : This dataset card aims to provide information about a dataset focused on psychology therapy conversations. Language(s) (NLP): Turkish (tr)