An evolving list of electronic media datasets used to model mental health status. This repository curates a variety of datasets from different sources, including social media platforms, online forums, and academic studies, to support research in mental health modeling and AI applications.
The Mental Health Datasets repository is a curated list of datasets that can be used to model and analyze mental health status. It includes datasets from various sources such as Reddit, Twitter, and online support forums, covering a wide range of mental health conditions like depression, anxiety, and suicidal ideation. This resource is invaluable for researchers and developers working on AI models for mental health support and intervention.For an overview of existing datasets, please consider reading the paper 'On the State of Social Media Data for Mental Health Research'.
The American National Mental Health Services Survey (N-MHSS) is an annual survey conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA) to collect data on mental health treatment facilities across the United States. The survey provides detailed information on the services and characteristics of these facilities, helping to inform policy and improve mental health care.
MentalManip数据集是由Wang等人(2024b)引入的,专门用于检测和分类心理操纵的对话数据集。该数据集包含4000个多轮虚构对话,来源于在线电影剧本,并进行了多层次的标注,包括操纵的存在、操纵技巧和目标脆弱性。数据集的创建旨在通过高质量的标注确保数据的一致性和准确性,从而支持心理操纵检测的研究。
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.