better description

app.py

@@ -94,8 +94,11 @@ a parquet file. Please have a look to the Parquet example for more details.
 PARQUET_DEMO_EXPLANATION = """
 ## Use case:
 
-Save any arbitrary dataset. Each row can contain metadata (text, numbers, datetimes,...) as well as binary data
-(images, audio, video,...). This is particularly for datasets with multiple binary files for each row:
+Save any arbitrary dataset, no matter its size or format. If well configured, your dataset will be directly loadable with the `datasets` library
+and benefit from the dataset-preview on the Hub.
+
+Each row can contain metadata (text, numbers, datetimes,...) as well as binary data (images, audio, video,...).
+This is particularly useful for datasets with multiple binary files for each row:
 
 - Generate multiple images and select preferred one.
 - Take audio as input, generate a translated audio as output.