A novel large dataset of social media posts from users with one or multiple mental health conditions along with matched control users.
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The Distress Analysis Interview Corpus/Wizard-of-Oz set (DAIC-WOZ) dataset [24, 25] comprises voice and text samples from 189 interviewed healthy and control persons and their PHQ-8 depression detection questionnaire. This dataset is commonly used in research works for text-based detection, voice-based detection, and in multi-modal architecture
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Data for depression
This dataset contains the results of a depression screening experiment using two instruments: The PHQ-9 depression screening questionnaire and the chabot Perla.
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The dataset is a private dataset collected for automatic analysis of psychological distress. It contains self-reported distress labels provided by human volunteers. The dataset consists of 30-min interview recordings of participants.
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