Update README.md

README.md

@@ -13,11 +13,31 @@ This dataset was created using [LeRobot](https://github.com/huggingface/lerobot)
 
 ## Dataset Description
 
+- **Homepage:** [unitreerobotics](https://github.com/unitreerobotics)
+- **License:** apache-2.0
 
 
-- **Homepage:** [More Information Needed]
-- **Paper:** [More Information Needed]
-- **License:** apache-2.0
+- **Task Objective:** Organize and tidy the items on the table.  
+- **Operation Duration:** Each operation takes approximately 20 to 40 seconds.  
+- **Recording Frequency:** 30 Hz.  
+- **Robot Type:** 7-DOF dual-arm G1 robot.  
+- **End Effector:** Gripper.  
+- **Dual-Arm Operation:** Yes.  
+- **Image Resolution:** 256x256.  
+- **Camera Positions:** head-mounted (binocular cameras).  
+- **Data Content:**  
+• Robot's current state.  
+• Robot's next action.  
+• Current camera view images.  
+- **Robot Initial Posture:** The first robot state in each dataset entry.  
+- **Object Placement:** Randomly placed within the robot arm's motion range and the field of view of the robot's head-mounted camera.  
+- **Camera View:** Follow the guidelines in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate).  
+
+- **Important Notes:**  
+1. This is a G1 diversity dataset that can be used for video generation models, world models, and other applications \[[Lee et al., 2018](#citation)\].  
+2. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as specified in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate).  
+3. Data collection is not completed in a single session, and variations between data entries exist. Ensure these variations are accounted for during model training.  
+
 
 ## Dataset Structure