diff --git a/docs/0.prepare_dataset.md b/docs/0.prepare_dataset.md
index 1dbd62c..5b41914 100644
--- a/docs/0.prepare_dataset.md
+++ b/docs/0.prepare_dataset.md
@@ -100,5 +100,74 @@ python misc/pretreatment.py --input_path Path_of_OUMVLP-rearranged --output_path
     ```
 
 
+**GREW** 
+
+Step1: Download the data
+
+Step2: [Unzip](https://github.com/GREW-Benchmark/GREW-Benchmark) the dataset, you will get a structure directory like:
+
+- Original
+    ```
+    GREW-raw
+    ├── train
+        ├── 00001
+            ├── 4XPn5Z28
+                ├── 00001.png
+                ├── 00001_2d_pose.txt
+                ├── 00001_3d_pose.txt
+            ├── 4XPn5Z28_gei.png
+    ├── test
+        ├── gallery
+            ├── 00001
+                ├── 79XJefi8
+                    ├── 00001.png
+                    ├── 00001_2d_pose.txt
+                    ├── 00001_3d_pose.txt
+                ├── 79XJefi8_gei.png
+        ├── probe
+            ├── 01DdvEHX
+                ├── 00001.png
+                ├── 00001_2d_pose.txt
+                ├── 00001_3d_pose.txt
+            ├── 01DdvEHX_gei.png
+        ...
+    ...
+            
+Step3 : To rearrange directory of OUMVLP dataset, turning to id-type-view structure, Run 
+```
+python misc/rearrange_GREW.py --input_path Path_of_GREW-raw --output_path Path_of_GREW-rearranged
+```  
+
+Step4: Transforming images to pickle file, run 
+```
+python misc/pretreatment.py --input_path Path_of_GREW-rearranged --output_path Path_of_GREW-pkl
+```
+
+- Processed
+    ```
+    GREW-pkl
+    ├── 00001train (subject in training set)
+        ├── 00
+            ├── 4XPn5Z28
+                ├── 4XPn5Z28.pkl
+            ├──5TXe8svE
+                ├── 5TXe8svE.pkl
+                ......
+    ├── 00001 (subject in testing set)
+        ├── 01
+            ├── 79XJefi8
+                ├── 79XJefi8.pkl
+        ├── 02
+            ├── t16VLaQf
+                ├── t16VLaQf.pkl
+    ├── probe
+        ├── etaGVnWf
+            ├── etaGVnWf.pkl
+        ├── eT1EXpgZ
+            ├── eT1EXpgZ.pkl
+        ...
+    ...
+    ```
+
 ## Split dataset
 You can use the partition file in [misc/partitions](misc/partitions/) directly, or you can create yours. Remember to set your path to the partition file in [config/*.yaml](config/).
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