Update README.md

Initial upload: AVDD-TCMI dataset (HDS + SDS) — 13.5GB

README.md

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----
-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+language:
+- zh
+pretty_name: AVDD-TCMI Dataset
+tags:
+- mulitimodal
+- depression
+- audio
+- vedio
+size_categories:
+- 1K<n<10K
+task_categories:
+- classification
+- Depression detection 
+---
+#AVDD-TCMI Dataset
+
+## Introduction
+The **AVDD-TCMI dataset** is a multimodal dataset for depression detection. Our dataset comprises a total of 1,230 valid samples, including 969 non-depressed individuals and 261 depressed individuals. It contains two primary subsets:
+- **HDS (Hospital Depression Subset):** HDS is collected from volunteers at West China Hospital of Sichuan University and includes 282 valid samples, comprising 159 non-depressed volunteers (including doctors, nurses, and patients without depression) and 123 clinically diagnosed depressed patients undergoing treatments.
+- **SDS (Student Depression Subset):** SDS is collected from a middle school and contains 948 valid samples, including 810 non-depressed and 138 depressed volunteer students.
+
+## Structure
+AVDD-TCMI-dataset/
+├── HDS/
+│ ├── 0/
+│ │ ├── 0_tcm/ # regional features extracted based on TCM facial inspection (images)
+│ │ ├── 0_acoustic.csv # audio_features
+│ │ └── 0_visual.csv # video_features
+│ └── ...
+├── SDS/
+│ ├── 0/
+│ └── ...
+├── HDS_labels.csv # id,label (0=non-depressed,1=depressed),gender (f=female,m=male)
+└── SDS_labels.csv
+
+## Data Splits
+This dataset is not pre-split into train/validation/test. Users should perform their own split.
+
+## Contact
+For questions, contact:[email protected]