Chinese Psychological QA DataSet - GitHub Repository
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.
Introducere Detaliată
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.
Mai multSet de date
Cam-CAN Data Access Portal | Cambridge Centre for Ageing and Neuroscience (Cam-CAN) | University of Cambridge
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) uses epidemiological, behavioral, and neuroimaging data to understand how individuals can best retain cognitive abilities into old age. The Cam-CAN Data Access Portal provides access to datasets from the Cambridge Centre for Ageing and Neuroscience, including neuroimaging and cognitive data from participants aged 18-90.
Mental Health in Tech Survey
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.
Weibo User Depression Detection Dataset
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.