Update README.md

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

README.md

@@ -8,13 +8,14 @@ tags:
 - depression
 - audio
 - vedio
+- TCM
 size_categories:
 - 1K<n<10K
 task_categories:
 - classification
 - Depression detection 
 ---
-#AVDD-TCMI Dataset
+## 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:
@@ -22,18 +23,18 @@ The **AVDD-TCMI dataset** is a multimodal dataset for depression detection. Our
 - **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
+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.