Update README.md

README.md

@@ -2,6 +2,22 @@
 license: cc-by-nc-sa-4.0
 ---
 
+# IROS-2025-Challenge-Manip
+# Dataset Summary 📖 
+
+This dataset contains the **IROS Challenge - Manipulation Track** benchmark, organized into **pretrain**, **train**, and **validation** splits.
+
+* **Pretrain split**: \~20,000 single pick-and-place trajectories, packaged into tar files (each containing \~1,000 trajectories).
+* **Train split**: task-specific demonstrations, with \~100 trajectories provided per task.
+* **Validation split**: includes the test-time scenes and object assets in **USD format**.
+
+Each trajectory in the pretrain and train splits contains:
+
+* **Multi-view video** recordings (three perspectives: head-mounted camera and two wrist cameras)
+* **Robot states** (joint positions, gripper states, etc.)
+* **Actions** corresponding to the task execution
+
+This dataset is designed to support **pretraining, task-specific fine-tuning, and evaluation** for robotic manipulation in the IROS Challenge setting.
 
 # Get started 🔥    
 ## Download the Dataset 
@@ -12,9 +28,42 @@ from huggingface_hub import snapshot_download
 dataset_path = snapshot_download("InternRobotics/IROS-2025-Challenge-Manip", repo_type="dataset")
 ```
 
+## Unzip the pretrain dataset
+
+```bash
+cd pretrain
+for i in {1..20}; do
+    echo "Extracting $i.tar.gz ..."
+    tar -xzf "$i.tar.gz"
+done
+```
+
 
 ## Dataset Structure
 
+### pretrain Folder hierarchy
+```
+pretrain
+├── 1.tar.gz
+│   └── 1/
+│       ├── data/
+│       ├── meta/
+│       └── videos/
+├── 2.tar.gz
+│   └── 2/
+│       ├── data/
+│       ├── meta/
+│       └── videos/
+...
+├── 20.tar.gz
+    └── 20/
+        ├── data/
+        ├── meta/
+        └── videos/
+
+```
+        
+
 ### train Folder hierarchy
 ```
 train