diff --git a/text_2_sql/data_dictionary/README.md b/text_2_sql/data_dictionary/README.md
index b0dedd2..5f6a287 100644
--- a/text_2_sql/data_dictionary/README.md
+++ b/text_2_sql/data_dictionary/README.md
@@ -229,8 +229,10 @@ To generate a data dictionary, perform the following steps:
 1. Create your `.env` file based on the provided sample `text_2_sql/.env.example`. Place this file in the same place in `text_2_sql/.env`.
 
 **Execute the following commands in the `text_2_sql_core` directory:**
+
 2. Package and install the `text_2_sql_core` library. See [build](https://docs.astral.sh/uv/concepts/projects/build/) if you want to build as a wheel and install on an agent. Or you can run from within a `uv` environment and skip packaging.
     - Install the optional dependencies if you need a database connector other than TSQL. `uv sync --extra <DATABASE ENGINE>`
+    
 3. Run `uv run data_dictionary <DATABASE ENGINE>`
     - You can pass the following command line arguements:
         - `-- output_directory` or `-o`: Optional directory that the script will write the output files to.
@@ -240,6 +242,7 @@ To generate a data dictionary, perform the following steps:
         - `entities`: A list of entities to extract. Defaults to None.
         - `excluded_entities`: A list of entities to exclude.
         - `excluded_schemas`: A list of schemas to exclude.
+          
 4. Upload these generated data dictionaries files to the relevant containers in your storage account. Wait for them to be automatically indexed with the included skillsets.
 
 > [!IMPORTANT]