diff --git a/docs/Model_Test.md b/docs/Model_Test.md
index 960900d1c2..48ee3c3835 100644
--- a/docs/Model_Test.md
+++ b/docs/Model_Test.md
@@ -1,27 +1,20 @@
 ONNX has a collection of standard tests. This document describes how to run these tests through a C++ program named 'onnx_test_runner' in this repo. You could also run these test through onnxruntime python binding, which would be much easier to setup, but, a bit harder to debug issues.
 
 # Get the test data
-You should have:
-1. onnx single node test data
-2. onnx model zoo models
+```
+git submodule update --init --recursive
+pushd .
+cd cmake/external/emsdk
+./emsdk install latest
+./emsdk activate latest
+source ./emsdk_env.sh
+popd
+cd js
+npm install
+npm run prepare-node-tests
+```
 
-## Install onnx python package
-You can get onnx python package from [pypi](https://pypi.org/). However, if you are a onnxruntime developer, you may need to work on a cutting edge ONNX version. In this case, you need to build and install ONNX from source code.
-
-### Install ONNX from source code
-1. (windows) set ONNX_ML=1    
-   (linux) export ONNX_ML=1    
-2. Install protobuf and put protoc into your PATH environment. When you compile protobuf, it's better to only enable the static libraries. 
-3. run "python setup.py bdist_wheel" and "pip install dist/*.whl"
-
-## Generate node test data
-$ python3 -m onnx.backend.test.cmd_tools generate-data -o <dest_folder>    
-e.g.    
-   python3 -m onnx.backend.test.cmd_tools generate-data -o C:\testdata
-
-
-## Get more models
-Download https://onnxruntimetestdata.blob.core.windows.net/models/20190419.zip and unzip it.
+In addition to that, You can get more test models with their test data from https://github.com/onnx/models .
 
 
 # Compile onnx_test_runner and run the tests