diff --git a/items_metadata.yaml b/items_metadata.yaml
index 08665a5d92..6e0129334d 100644
--- a/items_metadata.yaml
+++ b/items_metadata.yaml
@@ -775,8 +775,8 @@ samples:
   url: https://geosaurus.maps.arcgis.com/home/item.html?id=f253e07e0d3142ea87b4e024393c8eb0
   path: ./samples/04_gis_analysts_data_scientists/landcover_classification_using_hyperspectral_imagery_and_deep_learning.ipynb
   thumbnail: ./static/thumbnails/default.png
-  snippet: The aim of this notebook is to make use of arcgis.learn UnetClassifier model to extract subclasses of two LULC classes: developed areas and forests.
-  description: The aim of this notebook is to make use of arcgis.learn UnetClassifier model to extract subclasses of two LULC classes: developed areas and forests.
+  snippet: The aim of this notebook is to make use of arcgis.learn UnetClassifier model to extract subclasses of two LULC classes mainly developed areas and forests.
+  description: The aim of this notebook is to make use of arcgis.learn UnetClassifier model to extract subclasses of two LULC classes mainly developed areas and forests.
   licenseInfo: ""
   runtime: advanced_gpu
   tags: ["Data Science", "GIS", "Hyperspectral", "Deep Learning"]