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video-dataset
这是一个包含700名俄语母语者自由讲述个人故事的全身视频数据集。视频以高分辨率和高保真音频捕捉了参与者的真实人类行为，展现了丰富的情感、自然的面部表情和手势。该数据集适合用于多模态情感识别、手势和面部表情分析、基于视频的语言建模以及俄语自动语音识别等用途。
Hugging Face2025-05-03 更新330
Multimodal Depression Detection from Speech and Text: Public Reproducibility Package for ASOC Submission
This record provides a public, share-safe reproducibility package for the ASOC submission on multimodal depression detection. The uploaded archive research_data.zip includes: (i) base manifests and su
Zenodo2026-06-26 更新150
Data_Sheet_1_Differentiating “Attachment Difficulties” From Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder: Qualitative Interviews With Experienced Health Care Professionals.docx
Objectives“Attachment difficulties” is an umbrella term often used to describe various forms of non-secure attachment. Differentiating “attachment difficulties” from autism spectrum disorder (hereafte
NIAID Data Ecosystem30
MELD (Multimodal EmotionLines Dataset)
MELD（Multimodal EmotionLines Dataset）是一个多模态多方对话情感识别数据集，由S. Poria等研究人员开发。该数据集基于《老友记》电视剧构建，包含超过1400个对话和13000个语句，涵盖文本、音频和视觉三种模态。每个语句标注了七种基本情感和情感极性，为多模态情感识别、对话情感建模等研究提供了重要资源。
知名数据集180
Statistical comparison between schizophrenia and BPD patients using Mann-Whitney test.
Note: SI – Splitting Index, SI(S) – Splitting Index, factor of self, SI(F) – Splitting Index, factor of family, SI(O) – Splitting Index, factor of others, VF- verbal fluency, HoNOS(E)- version for ext
NIAID Data Ecosystem60
