Update README.md

README.md

@@ -57,6 +57,39 @@ It reflects realistic personal assistant scenarios where continuous egocentric v
 
 ---
 
+## Download
+
+```bash
+# Extract (only need to specify the first file)
+7z x archive.7z.001
+
+# Or extract to a specific directory
+7z x archive.7z.001 -o./extracted_data
+```
+
+## Dataset Structure
+After extraction, the dataset structure is:
+
+```
+TeleEgo/
+├── merged_P1_A.json          # QA annotations for Participant 1
+├── merged_P2_A.json          # QA annotations for Participant 2
+├── merged_P3_A.json          # QA annotations for Participant 3
+├── merged_P4_A.json          # QA annotations for Participant 4
+├── merged_P5_A.json          # QA annotations for Participant 5
+├── merged_P1.mp4             # Video stream for Participant 1 (~46GB)
+├── merged_P2.mp4             # Video stream for Participant 2 (~35GB)
+├── merged_P3.mp4             # Video stream for Participant 3 (~58GB)
+├── merged_P4.mp4             # Video stream for Participant 4 (~57GB)
+├── merged_P5.mp4             # Video stream for Participant 5 (~38GB)
+├── timeline_P1.json          # Temporal annotations for Participant 1
+├── timeline_P2.json          # Temporal annotations for Participant 2
+├── timeline_P3.json          # Temporal annotations for Participant 3
+├── timeline_P4.json          # Temporal annotations for Participant 4
+└── timeline_P5.json          # Temporal annotations for Participant 5
+```
+
+
 ## 🧪 Benchmark Tasks
 
 TeleEgo-QA evaluates models along **three main dimensions**: