Update README.md

README.md

@@ -18,7 +18,9 @@ size_categories:
 
 This dataset consists of AirBnB listings with property descriptions, reviews, and other metadata. 
 
-It also contains text embeddings of the property descriptions as well as image embeddings of the listing image. The text embeddings were created using OpenAI's **text-embedding-3-small** model and the image embeddings using OpenAI's [**clip-vit-base-patch32**](https://huggingface.co/openai/clip-vit-base-patch32) model available on Hugging Face.  
+It also contains text embeddings of the property descriptions as well as image embeddings of the listing image. The text embeddings were created using OpenAI's **text-embedding-3-small** model and the image embeddings using OpenAI's [**clip-vit-base-patch32**](https://huggingface.co/openai/clip-vit-base-patch32) model available on Hugging Face. 
+
+The text embeddings have 1536 dimensions, while the image embeddings have 512 dimensions.
 
 ## Dataset Structure
 
@@ -63,7 +65,7 @@ Here is a full list of fields contained in the dataset. Some noteworthy fields h
 - reviews: Individual guest reviews
 - weekly_price: Discounted price for week
 - monthly_price: Discounted price for month
-- **text_embeddings**: Embeddings of the property description in the `space` field
+- **text_embeddings**: Embeddings of the property description in the `space` field  
 - **image_embeddings**: Embeddings of the `picture_url` in the `images` field
 
 ## Usage