Update README.md

README.md

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 # govgis_nov2023-slim-spatial
 
-🤖 This README was written by [https://huggingface.co/HuggingFaceH4/zephyr-7b-beta](`HuggingFaceH4/zephyr-7b-beta`). 🤖
+🤖 This README was written by [`HuggingFaceH4/zephyr-7b-beta`](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta). 🤖
 
 
-Introducing the govgis_nov2023-slim-spatial dataset, a carefully curated and georeferenced subset of the extensive [https://huggingface.co/datasets/joshuasundance/govgis_nov2023](govgis_nov2023) collection. This dataset stands out for its focus on geospatial data analysis, enriched with vector embeddings. While we have only explored a portion of this vast collection, the variety and richness of the content encountered have been remarkable, making it challenging to fully capture the dataset's breadth in a brief overview.
+Introducing the govgis_nov2023-slim-spatial dataset, a carefully curated and georeferenced subset of the extensive [govgis_nov2023](https://huggingface.co/datasets/joshuasundance/govgis_nov2023) collection. This dataset stands out for its focus on geospatial data analysis, enriched with vector embeddings. While we have only explored a portion of this vast collection, the variety and richness of the content encountered have been remarkable, making it challenging to fully capture the dataset's breadth in a brief overview.
 
 ## Overview
 
-The govgis_nov2023-slim-spatial dataset condenses key elements from the larger govgis_nov2023 collection into a more manageable format. It offers a glimpse into an extensive range of geospatial data types, all augmented with vector embeddings using [https://huggingface.co/BAAI/bge-large-en-v1.5](`BAAI/bge-large-en-v1.5`). Our exploration has revealed a staggering variety in the data, suggesting vast potential applications.
+The govgis_nov2023-slim-spatial dataset condenses key elements from the larger govgis_nov2023 collection into a more manageable format. It offers a glimpse into an extensive range of geospatial data types, all augmented with vector embeddings using [`BAAI/bge-large-en-v1.5`](https://huggingface.co/BAAI/bge-large-en-v1.5). Our exploration has revealed a staggering variety in the data, suggesting vast potential applications.
 
 Key Features:
 
 - **Diverse Geospatial Data Types:** The dataset includes samples of data like ecological data, census data, administrative boundaries, transportation networks, and land use maps, representing just a fraction of what's available.
-- **Advanced Vector Search Capabilities:** Augmented with vector embeddings using [https://huggingface.co/BAAI/bge-large-en-v1.5](`BAAI/bge-large-en-v1.5`) for sophisticated content discovery.
+- **Advanced Vector Search Capabilities:** Augmented with vector embeddings using [`BAAI/bge-large-en-v1.5`](https://huggingface.co/BAAI/bge-large-en-v1.5) for sophisticated content discovery.
 
 ## Dataset Files
 
@@ -40,7 +40,7 @@ This two-tiered approach allows users to tailor their engagement with the datase
 - **Selective Accessibility:** The dataset provides an accessible entry point to a seemingly endless variety of spatial data.
 - **Efficient yet Comprehensive:** It distills a vast array of data into a more practical format without losing the essence of its diversity.
 - **Untapped Application Potential:** The examples we provide are merely starting points; the dataset's true scope is far more extensive and varied.
-- **Enhanced Analytical Depth:** Vector embeddings from the BGE large model offer advanced data analysis capabilities.
+- **Enhanced Analytical Depth:** Vector embeddings from [`BAAI/bge-large-en-v1.5`](https://huggingface.co/BAAI/bge-large-en-v1.5) offer advanced data analysis capabilities.
 
 ## Use Cases: