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 Weibo User Depression Detection Dataset is a large-scale dataset for detecting depression in Weibo users. It includes user profiles, tweets, and labels indicating whether the user is depressed. The dataset is useful for researchers working on mental health and social media analysis.
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)
The DS4C dataset is a structured collection of COVID-19 data from South Korea, based on reports from the Korea Centers for Disease Control & Prevention (KCDC) and local governments. It includes information on infections, patient routes, and various analyses. The dataset has been used for multiple research and visualization projects.