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README.md
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This dataset consists of AirBnB listings with property descriptions, reviews, and other metadata.
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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.
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## Dataset Structure
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- reviews: Individual guest reviews
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- weekly_price: Discounted price for week
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- monthly_price: Discounted price for month
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- **text_embeddings**: Embeddings of the property description in the `space` field
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- **image_embeddings**: Embeddings of the `picture_url` in the `images` field
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## Usage
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This dataset consists of AirBnB listings with property descriptions, reviews, and other metadata.
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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.
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The text embeddings have 1536 dimensions, while the image embeddings have 512 dimensions.
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## Dataset Structure
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- reviews: Individual guest reviews
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- weekly_price: Discounted price for week
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- monthly_price: Discounted price for month
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- **text_embeddings**: Embeddings of the property description in the `space` field
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- **image_embeddings**: Embeddings of the `picture_url` in the `images` field
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## Usage
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