toc tree

documentation/datasets.rst

@@ -5,11 +5,22 @@ Datasets
 Generally, the detailed setup procedure for each dataset can be found at its official document.
 In this section, we still provide a simple guidance about how to setup each dataset in a step by step way,
 saving the time for redirecting to new sites and read the comprehensive guidance.
+
 The content of each subsection is a simplified version based on the official setup procedures of each dataset.
 Thus if you encountered some problems with our simplified setup instructions,
 please read related official documentation.
-Also, we kindly ask you to report the encountered problem when following our procedures.
-We will fix it as best as we can and record it in the troubleshooting section for each dataset.
+
+**Also, we kindly ask you to report the encountered problem when following our procedures.
+We will fix it as best as we can and record it in the troubleshooting section for each dataset.** |:blush:|
+
+.. modify the toctree in index` together
+
+- :ref:`nuplan`
+- :ref:`nuscenes`
+- :ref:`waymo`
+- :ref:`PG`
+- :ref:`lyft`
+- :ref:`new_data`
 
 
 

documentation/index.rst

@@ -19,16 +19,20 @@ Please feel free to contact us if you have any suggestions or ideas!
 
 .. toctree::
    :maxdepth: 2
-   :hidden:
    :caption: Quick Start
 
    install.rst
    example.rst
-   operations.rst
 
 .. toctree::
-   :hidden:
    :maxdepth: 2
+   :caption: Database Operations
+
+   operations.rst
+
+.. modify the toctree in datasets.rst together
+.. toctree::
+   :maxdepth: 1
    :caption: Supported Dataset
 
    datasets.rst
@@ -40,7 +44,6 @@ Please feel free to contact us if you have any suggestions or ideas!
    new_data.rst
 
 .. toctree::
-   :hidden:
    :maxdepth: 2
    :caption: System Design
 

documentation/lyft.rst

@@ -1,3 +1,5 @@
+.. _lyft:
+
 ####################
 Lyft (In Upgrading)
 ####################

documentation/operations.rst

@@ -1,6 +1,7 @@
-###############
-Operations
-###############
+.. _operations:
+
+How to run
+~~~~~~~~~~
 
 We provide various basic operations allowing users to modify the built database for ML applications.
 These operations include building database from different data providers;aggregating datasets from diverse source;