Update README.md

README.md

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 ---
 
 # LET:Full-Size Humanoid Robot Real-World Dataset
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+
 <div style="display: flex; justify-content: space-between; align-items: center; width: 100%;">
   <div>
     <a href="https://huggingface.co/datasets/LejuRobotics/let_dataset">
@@ -15,14 +15,14 @@ license: cc-by-nc-sa-4.0
   </div>
 </div>
 
-[中文](README_CN.md)| [English]
+[中文](https://www.modelscope.cn/datasets/LejuRobotics/let_dataset/file/view/master/README.md?id=159848&status=1)| [English]
 
 <div style="font-size:1.1em; max-width:800px; margin: 0 0 16px 0; text-align: left;">
   <b><span style="color:#000000">LET Dataset</span></b> is collected based on the full-size humanoid robot <b><span style="color:#1890FF">Kuavo 4 Pro</span></b> covering real-world multi-task data across multiple scenarios and operation types. It is designed for robot manipulation, mobility, and interaction tasks, supporting scalable robot learning in real environments.
 </div>
 
 ## 📋 Table of Contents
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+
 
 - [Key Features](#key-features)
 - [Hardware Platform](#hardware-platform)
@@ -36,12 +36,13 @@ license: cc-by-nc-sa-4.0
   - [Data Format](#data-format)
   - [Label Format](#label-format)
 - [Data Access](#data-access)
+- [Data Communication Group](#data-communication-group)
 - [Citation](#citation)
 - [License](#license)
 
 <a id="key-features"></a>
 ## ✨ Key Features
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 - Large-scale, real-world, full-size humanoid robot multi-view, multi-modal data, continuously updated
 - Covers multiple domains including industry, home, medical, and service, with 31 sub-task scenarios
 - Includes 117 atomic skills such as grasping, bimanual operation, tool use, with a total duration of over 1000 hours
@@ -83,7 +84,7 @@ license: cc-by-nc-sa-4.0
 
 <a id="hardware-platform"></a>
 ## 🤖 Hardware Platform
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+
 <div align="left">
   <img src="docs/images/kuavo4pro.png" alt="kuavo" width="200" style="display:inline-block; margin-right: 10px;">
   <img src="docs/images/kuavo_wheel.png" alt="kuavo_wheel" width="200" style="display:inline-block;">
@@ -97,7 +98,7 @@ The main hardware platform is **Kuavo 4 Pro** and its wheeled version, with the
 
 <a id="usage-guide"></a>
 ## 🚀 Usage Guide
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+
 <a id="dataset-download-example"></a>
 
 <a id="tool-repository"></a>
@@ -114,7 +115,7 @@ For details, see the open-source repository: [**kuavo_data_challenge**](https://
 
 <a id="tasks-and-data-overview"></a>
 ## 🎬 Tasks and Data Overview
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 This dataset covers various scenarios such as automobile factories, FMCG, hotel services, 3C factories, life services, logistics, etc., including multi-modal observations (RGB, Depth, joints, etc.) and a rich set of atomic skills (grasping, bimanual operation, tool use, etc.).
 
 <div style="overflow-x: auto; text-align: left; max-width: fit-content; margin-left: 0;">
@@ -190,8 +191,8 @@ LET dataset statistics are as follows:
 ### Dataset Directory Structure
 
 ```text
-./datasets
-├── rosbag
+.
+├── hdf5
 │   ├── real
 │   │   ├── Labelled
 │   │   │   ├── customer_check_in-P4-dex_hand
@@ -251,6 +252,12 @@ LET dataset statistics are as follows:
 │           ├── package_weighing-P4-claw(Rq2f85)
 │           ├── SPS_parts_sorting-P4-claw(Rq2f85)
 │           └── target_placement-P4-claw(Rq2f85)
+└── rosbag
+    ├── real
+    │   ├── Labelled  // Same task structure as HDF5.
+    │   └── Unlabelled // Same task structure as HDF5.
+    └── sim
+        └── Unlabelled // Same task structure as HDF5.
 ```
 
 <a id="data-format"></a>
@@ -266,7 +273,7 @@ LET dataset statistics are as follows:
 | <b>Raw Sensor Data</b>     | <span style="color:#1890FF">/sensors_data_raw</span>                               | <span style="color:#000000">kuavo_msgs/sensorsData</span>          | sensor_time (timestamp),<br>joint_data (joint data: position, velocity, acceleration, current),<br>imu_data (IMU data: gyroscope, accelerometer, quaternion),<br>end_effector_data (end effector data, currently unused)|
 | <b>Dexterous Hand Position (Real Robot)</b> | <span style="color:#1890FF">/control_robot_hand_position</span>                    | <span style="color:#000000">kuavo_msgs/robotHandPosition</span>    | left_hand_position (left hand 6D, 0 open, 100 closed),<br>right_hand_position (right hand 6D, 0 open, 100 closed)|
 | <b>Dexterous Hand State (Real Robot)</b> | <span style="color:#1890FF">/dexhand/state</span>                                  | <span style="color:#000000">sensor_msgs/JointState</span>          | name (12 joint names),<br>position (12 joint positions, first 6 for left hand, last 6 for right hand),<br>velocity (12 joint velocities),<br>effort (12 joint currents)|
-| <b>Gripper Control (Real Robot)</b>   | <span style="color:#1890FF">/leju_claw_command</span>                        | <span style="color:#000000">kuavo_msgs/lejuclawcommand</span>      | name (length 2, left_claw/right_claw),<br>position (length 2, 0 open, 100 closed),<br>velocity (length 2, target velocity, default 50),<br>effort (length 2, target current in A, default 1)|
+| <b>Gripper Control (Real Robot)</b>   | <span style="color:#1890FF">/leju_claw_command</span>                        | <span style="color:#000000">kuavo_msgs/leju_claw_command</span>      | name (length 2, left_claw/right_claw),<br>position (length 2, 0 open, 100 closed),<br>velocity (length 2, target velocity, default 50),<br>effort (length 2, target current in A, default 1)|
 | <b>Gripper State (Real Robot)</b>   | <span style="color:#1890FF">/leju_claw_state</span>                                | <span style="color:#000000">kuavo_msgs/lejuClawState</span>        | state (int8[2], left/right gripper state, see details below),<br>data (kuavo_msgs/endEffectorData, contains gripper position, velocity, current)|
 | <b>Simulation Gripper Control</b>       | <span style="color:#1890FF">/gripper/command</span>                                | <span style="color:#000000">sensor_msgs/JointState</span>          | header (message header),<br>position (length 2, 0 open, 255 closed)|
 | <b>Simulation Gripper State</b>       | <span style="color:#1890FF">/gripper/state</span>                                  | <span style="color:#000000">sensor_msgs/JointState</span>          | header (message header),<br>position (length 2, 0 open, 0.8 closed)|
@@ -437,14 +444,21 @@ Label information is stored in a JSON file with the same name as the data file.
 
 <a id="data-access"></a>
 ## 📥Data Access
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 - **Official request:** You can request access by contacting the official email `wangsong@lejurobot.com`.
 - **Public platforms:** The LET dataset will be publicly released on major platforms such as Openloong, ModelScope, and Hugging Face to provide convenience for developers and researchers worldwide.
 
+
+<a id="data-communication-group"></a>
+## 📋 Data Communication Group
+
+  - **Data communication QQ group: 1043359345**
+<div align="left">
+  <img src="docs/images/qq.png" width="400" alt="LET Data Communication Group">
+</div>
+
 <a id="citation"></a>
 ## 📝 Citation
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 If you use this dataset in your research, please cite it according to the platform from which you accessed it:
 
 **Citation for Hugging Face**
@@ -465,11 +479,8 @@ If you use this dataset in your research, please cite it according to the platfo
     howpublished={\url{https://www.modelscope.cn/datasets/LejuRobotics/let_dataset}}
 }
 ```
-
 <a id="license"></a>
 ## 📄 License
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 All the data and code within this repo are under [CC BY-NC-SA-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).
 
-