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 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.
Psychology Wiki Datasetpsychology_wiki数据集的构建基于心理学领域的英文维基百科内容,通过系统化的数据采集与整理,确保了信息的广泛覆盖与深度挖掘。数据集中的每一篇文章均经过严格的筛选与标注,涵盖了标题、正文、相关性、受欢迎程度及排名等多个维度,为心理学研究提供了丰富的文本资源。
The iBVP dataset is a collection of synchronized RGB and thermal infrared videos with PPG ground-truth signals acquired from an ear. It includes manual signal quality labels and dense signal-quality assessment using the SQA-PhysMD model. The dataset is designed to induce real-world variations in psycho-physiological states and head movement.