ICASSP2022-Depression: Automatic Depression Detection
This repository provides code and data for automatic depression detection using a GRU/BiLSTM-based model. It includes an emotional audio-textual corpus designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder.
Nákvæm kynning
The ICASSP2022-Depression project presents a comprehensive approach to automatic depression detection using deep learning techniques. The repository includes a GRU/BiLSTM-based model and an emotional audio-textual corpus, making it a valuable resource for researchers working on mental health and natural language processing.
MeiraGagnasett
electronic media datasets - Mental Health Datasets
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.
ToM QA Dataset: Evaluating Theory of Mind in Question Answering
The ToM QA Dataset is designed to evaluate question-answering models' ability to reason about beliefs. It includes 3 task types and 4 question types, creating 12 total scenarios. The dataset is inspired by theory-of-mind experiments in developmental psychology and is used to test models' understanding of beliefs and inconsistent states of the world.
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.