From 5318825b6efa3f69076207765829a36fc108e748 Mon Sep 17 00:00:00 2001
From: Wonju Lee <wonju.lee@intel.com>
Date: Sat, 15 Apr 2023 07:00:47 +0900
Subject: [PATCH] modify title line length

---
 .../basic_skills/03_dataset_import_export.rst  | 18 +++++++++---------
 .../basic_skills/04_detect_data_format.rst     |  6 +++---
 .../intermediate_skills/08_data_validate.rst   |  4 ++--
 3 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/docs/source/docs/level-up/basic_skills/03_dataset_import_export.rst b/docs/source/docs/level-up/basic_skills/03_dataset_import_export.rst
index c4e67b15dc..c64e703a9b 100644
--- a/docs/source/docs/level-up/basic_skills/03_dataset_import_export.rst
+++ b/docs/source/docs/level-up/basic_skills/03_dataset_import_export.rst
@@ -1,6 +1,6 @@
-=============
+===============================
 Level 3: Data Import and Export
-=============
+===============================
 
 Datumaro is a tool that supports public data formats across a wide range of tasks such as
 classification, detection, segmentation, pose estimation, or visual tracking.
@@ -8,7 +8,7 @@ To facilitate this, Datumaro provides assistance with data import and export via
 This makes it easier for users to work with various data formats using Datumaro.
 
 Prepare dataset
-============
+===============
 
 For the segmentation task, we here introduce the Cityscapes, which collects road scenes from 50
 different cities and contains 5K fine-grained pixel-level annotations and 20K coarse annotations.
@@ -16,7 +16,7 @@ More detailed description is given by :ref:`here <Cityscapes>`.
 The Cityscapes dataset is available for free `download <https://www.cityscapes-dataset.com/downloads/>`_.
 
 Convert data format
-============
+===================
 
 Users sometimes needs to compare, merge, or manage various kinds of public datasets in a unified
 system. To achieve this, Datumaro not only has `import` and `export` funcionalities, but also
@@ -59,32 +59,32 @@ We now convert the Cityscapes data into the MS-COCO format, which is described i
 
   .. code-block:: bash
 
-    datum create -o <path/to/project>
+    datum project create -o <path/to/project>
 
   We now import Cityscapes data into the project through
 
   .. code-block:: bash
 
-    datum import --format cityscapes -p <path/to/project> <path/to/cityscapes>
+    datum project import --format cityscapes -p <path/to/project> <path/to/cityscapes>
 
   (Optional) When we import a data, the change is automatically commited in the project.
   This can be shown through `log` as
 
   .. code-block:: bash
 
-    datum log -p <path/to/project>
+    datum project log -p <path/to/project>
 
   (Optional) We can check the imported dataset information such as subsets, number of data, or
   categories through `info`.
 
   .. code-block:: bash
 
-    datum info -p <path/to/project>
+    datum project info -p <path/to/project>
 
   Finally, we export the data within the project with MS-COCO format as
 
   .. code-block:: bash
 
-    datum export --format coco -p <path/to/project> -o <path/to/save> -- --save-media
+    datum project export --format coco -p <path/to/project> -o <path/to/save> -- --save-media
 
 For a data with an unknown format, we can detect the format in the :ref:`next level <Level 4: Detect Data Format from an Unknown Dataset>`!
diff --git a/docs/source/docs/level-up/basic_skills/04_detect_data_format.rst b/docs/source/docs/level-up/basic_skills/04_detect_data_format.rst
index 5a30683f0f..739ffadde8 100644
--- a/docs/source/docs/level-up/basic_skills/04_detect_data_format.rst
+++ b/docs/source/docs/level-up/basic_skills/04_detect_data_format.rst
@@ -1,6 +1,6 @@
-=============
+===================================================
 Level 4: Detect Data Format from an Unknown Dataset
-=============
+===================================================
 
 Datumaro provides a function to detect the format of a dataset before importing data. This can be
 useful in cases where information about the original format of the data has been lost or is unclear.
@@ -8,7 +8,7 @@ With this function, users can easily identify the format and proceed with approp
 handling processes.
 
 Detect data format
-============
+==================
 
 .. tabbed:: CLI
 
diff --git a/docs/source/docs/level-up/intermediate_skills/08_data_validate.rst b/docs/source/docs/level-up/intermediate_skills/08_data_validate.rst
index 61aedebbb6..104ad392dd 100644
--- a/docs/source/docs/level-up/intermediate_skills/08_data_validate.rst
+++ b/docs/source/docs/level-up/intermediate_skills/08_data_validate.rst
@@ -1,6 +1,6 @@
-=============
+===========================
 Level 8: Dataset Validation
-=============
+===========================
 
 
 When creating a dataset, it is natural for imbalances to occur between categories, and sometimes