mindspore-lab · HaoyangLee · Jun 21, 2023 · Jun 21, 2023
diff --git a/docs/cn/inference/models_list.md b/docs/cn/inference/models_list.md
@@ -1,4 +1,4 @@
-## 推理 - MindOCR模型推理支持列表
+## 推理 - MindOCR模型支持列表
 
 MindOCR推理支持训练端ckpt导出的模型，本文档展示了已适配的模型列表。
 

diff --git a/docs/cn/inference/models_list_thirdparty.md b/docs/cn/inference/models_list_thirdparty.md
@@ -1,4 +1,4 @@
-## 推理 - 第三方模型推理支持列表
+## 推理 - 第三方模型支持列表
 
 MindOCR可以支持第三方模型（如PaddleOCR、MMOCR等）的推理，本文档展示了已适配的模型列表。
 

diff --git a/docs/en/mkdocs/modelzoo.md → docs/cn/mkdocs/modelzoo_training.md b/docs/en/mkdocs/modelzoo.md → docs/cn/mkdocs/modelzoo_training.md
@@ -1,10 +1,4 @@
----
-hide:
-  - navigation
-  - toc
----
-
-# Model Zoo
+## 训练 - MindOCR模型支持列表
 
 | model | type |dataset | fscore(detection)/accuracy(recognition) | mindocr recipe | vanilla mindspore
 :-:     |  :-: |  :-:       | :-:        | :-:   | :-:

diff --git a/docs/en/inference/model_perf_thirdparty.md b/docs/en/inference/model_perf_thirdparty.md
@@ -1,6 +1,6 @@
 ## Third-party Model Inference Performance Table
 
-This document will give the inference performance of the third-party model (PaddleOCR, MMOCR, etc.) using the MindIR
+This page shows the inference performance of the third-party model (PaddleOCR, MMOCR, etc.) using the MindIR
 format after performing [model conversion](convert_tutorial.md).
 
 ### 1. Text detection

diff --git a/docs/en/inference/models_list.md b/docs/en/inference/models_list.md
@@ -1,4 +1,4 @@
-## Inference - MindOCR Models Support List
+## Inference - MindOCR Models List
 
 MindOCR inference supports exported models from trained ckpt file, and this document displays a list of adapted models.
 

diff --git a/docs/en/inference/models_list_thirdparty.md b/docs/en/inference/models_list_thirdparty.md
@@ -1,6 +1,6 @@
-## Inference - Third-party Models Support List
+## Inference - Third-party Models List
 
-MindOCR can support the inference of third-party models (PaddleOCR, MMOCR, etc.), and this document displays a list of
+MindOCR supports the inference of third-party models (PaddleOCR, MMOCR, etc.), and this document displays a list of
 adapted models.
 
 After downloading the model file, it needs to be converted to a model file supported by ACL/MindSpore Lite inference (OM

diff --git a/docs/cn/mkdocs/modelzoo.md → docs/en/mkdocs/modelzoo_training.md b/docs/cn/mkdocs/modelzoo.md → docs/en/mkdocs/modelzoo_training.md
@@ -1,10 +1,4 @@
----
-hide:
-  - navigation
-  - toc
----
-
-# 模型列表
+## Training - MindOCR Models List
 
 | model | type |dataset | fscore(detection)/accuracy(recognition) | mindocr recipe | vanilla mindspore
 :-:     |  :-: |  :-:       | :-:        | :-:   | :-:

diff --git a/mkdocs.yml b/mkdocs.yml
@@ -7,22 +7,25 @@ copyright: Copyright &copy; 2022 - 2023 MindSpore Lab
 nav:
   - Home: index.md
 #  - Installation: installation.md
-  - Model Zoo: mkdocs/modelzoo.md
+  - Model Zoo:
+    - 1. Training: mkdocs/modelzoo_training.md
+    - 2. Inference - MindOCR Models List: inference/models_list.md
+    - 3. Inference - Third-party Models List: inference/models_list_thirdparty.md
   - Tutorials:
-    - Datasets:
+    - 1. Datasets:
         - Dataset Preparation: datasets/converters.md
         - Data Transformation Mechanism: tutorials/transform_tutorial.md
-    - Model Training:
+    - 2. Model Training:
         - Yaml Configuration: tutorials/yaml_configuration.md
         - Text Detection: tutorials/training_detection_custom_dataset.md
         - Text Recognition: tutorials/training_recognition_custom_dataset.md
         - Distributed Training on Ascend with OpenMPI/HCCL: tutorials/distribute_train.md
         - Advance Training: tutorials/advanced_train.md
-    - Inference and Deployment:
+    - 3. Inference and Deployment:
 #        - Model Conversion: inference/convert_tutorial.md
         - Python/C++ Inference on Ascend 310: inference/inference_tutorial.md
         - Python Online Inference: mkdocs/online_inference.md
-    - Developer Guides:
+    - 4. Developer Guides:
         - Customize Dataset: mkdocs/customize_dataset.md
         - Customize Data Transformation: mkdocs/customize_data_transform.md
         - Customize a New Model: mkdocs/customize_model.md
@@ -144,6 +147,7 @@ plugins:
           Quick Start: 快速开始
           Configuration: 配置
           Finetune: 微调
+          Training: 训练
           Inference: 推理
           Deployment: 部署
           Notes: 说明