Update README.md

README.md

@@ -3,11 +3,12 @@ license: apache-2.0
 task_categories:
 - question-answering
 - text-retrieval
+- text-to-image
 language:
 - en
 tags:
 - vector search
-- semantic search
+- multimodal
 - retrieval augmented generation
 size_categories:
 - 1K<n<10K
@@ -15,9 +16,9 @@ size_categories:
 
 ## Overview
 
-This dataset consists of AirBnB listings with property descriptions, reviews and other metadata.
+This dataset consists of AirBnB listings with property descriptions, reviews, and other metadata. 
 
-We also provide embeddings (using OpenAI's **text-embedding-3-small** model) of the property descriptions so you can use this dataset for building Search and RAG applications.
+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.  
 
 ## Dataset Structure
 
@@ -63,13 +64,14 @@ Here is a full list of fields contained in the dataset. Some noteworthy fields h
 - weekly_price: Discounted price for week
 - monthly_price: Discounted price for month
 - reviews_per_month: Average monthly review count
-- **space_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
 
 This dataset can be useful for:
+- Building Multimodal Search applications. Embed text queries using the CLIP model, and retrieve relevant images using the image embeddings provided.
 - Building Hybrid Search applications. Use the embeddings provided for vector search and the metadata fields for pre-filtering and/or full-text search.
-- Building Multimodal Search applications. Some listings have images associated with them. Use a model like [CLIP](https://huggingface.co/openai/clip-vit-base-patch32) to generate image and text emebeddings.
 - Building RAG applications
 
 ## Ingest Data