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# govgis_nov2023-slim-spatial
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🤖 This README was written by [
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Introducing the govgis_nov2023-slim-spatial dataset, a carefully curated and georeferenced subset of the extensive [https://huggingface.co/datasets/joshuasundance/govgis_nov2023
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## Overview
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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 [
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Key Features:
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- **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.
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- **Advanced Vector Search Capabilities:** Augmented with vector embeddings using [
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## Dataset Files
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- **Selective Accessibility:** The dataset provides an accessible entry point to a seemingly endless variety of spatial data.
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- **Efficient yet Comprehensive:** It distills a vast array of data into a more practical format without losing the essence of its diversity.
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- **Untapped Application Potential:** The examples we provide are merely starting points; the dataset's true scope is far more extensive and varied.
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- **Enhanced Analytical Depth:** Vector embeddings from
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## Use Cases:
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# govgis_nov2023-slim-spatial
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🤖 This README was written by [`HuggingFaceH4/zephyr-7b-beta`](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta). 🤖
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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.
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## Overview
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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.
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Key Features:
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- **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.
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- **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.
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## Dataset Files
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- **Selective Accessibility:** The dataset provides an accessible entry point to a seemingly endless variety of spatial data.
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- **Efficient yet Comprehensive:** It distills a vast array of data into a more practical format without losing the essence of its diversity.
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- **Untapped Application Potential:** The examples we provide are merely starting points; the dataset's true scope is far more extensive and varied.
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- **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.
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## Use Cases:
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