The Emotional First Aid Dataset is a comprehensive Chinese psychological counseling QA corpus, featuring 20,000 multi-turn dialogues. It is designed to support the development of AI applications in the field of psychological counseling and is available for research purposes.
The Emotional First Aid Dataset is a valuable resource for researchers and developers working on AI-powered psychological counseling tools. It includes detailed multi-turn dialogues, topic labels, and emotional annotations, making it suitable for a variety of tasks such as emotion classification and counseling dialogue generation.
The ISSP is a cross-national collaboration program conducting annual surveys on diverse topics relevant to social sciences. It includes members from various cultures around the globe and provides free access to collected data and documentation.
APA PsycInfo is the premier abstracting and indexing database covering the behavioral and social sciences. It provides over 5,000,000 peer-reviewed records, 144 million cited references, and spans 600 years of content. The database is updated twice-weekly and includes research in 30 languages from 50 countries.
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.