diff --git a/misc/HID/README.md b/misc/HID/README.md
index f1dc261..ea4dedb 100644
--- a/misc/HID/README.md
+++ b/misc/HID/README.md
@@ -16,8 +16,11 @@ CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node
 ```
 You can also download the [trained model](https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_hid_model.zip) and place it in `output` after unzipping.
 
-## Get the submission file.
+## Get the submission file
 ```shell
 CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node=4 lib/main.py --cfgs ./misc/HID/baseline_hid.yaml --phase test
 ```
-The result will be generated in your working directory, you must rename and compress it as the requirements before submitting.
+The result will be generated in your working directory.
+
+## Submit the result
+Follow the steps in the [official submission guide](https://codalab.lisn.upsaclay.fr/competitions/2542#participate), you need rename the file to `submission.csv` and compress it to a zip file. Finally, you can upload the zip file to the [official submission link](https://codalab.lisn.upsaclay.fr/competitions/2542#participate-submit_results).
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