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@@ -10,18 +10,20 @@ The `Class` is a custom dataset class that brings together information from two
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  This class is designed to streamline the process of working with data from different sources and enable users to seamlessly access and analyze combined datasets.
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  ## Project Overview
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  {
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  "id": "your_dataset_id",
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  "title": "Durham Urban Canopy",
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- "description": "Your dataset description.",
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  "licenses": [
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  {
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- "name": "License Name",
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- "url": "URL to License"
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  }
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  ],
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  "image": "https://raw.githubusercontent.com/AuraMa111/Urban_Tree_Canopy_in_Durham/main/Picture1.png"
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  }
 
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  The Durham Urban Canopy Analysis and Enhancement Initiative (DUCAEI) is committed to utilizing the Trees & Planting Sites dataset for a comprehensive geospatial analysis of Durham's urban tree canopy. Through Python within Google Colab, our aim is to identify key locations for canopy expansion, evaluate the impact of urban development on green spaces, and deliver informed recommendations for the sustainable growth of urban tree coverage.
 
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  This class is designed to streamline the process of working with data from different sources and enable users to seamlessly access and analyze combined datasets.
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  ## Project Overview
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+ ```json
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  {
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  "id": "your_dataset_id",
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  "title": "Durham Urban Canopy",
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+ "description": "Comprehensive geospatial analysis of Durham's urban tree canopy.",
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  "licenses": [
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  {
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+ "name": "Apache License 2.0",
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+ "url": "https://www.apache.org/licenses/LICENSE-2.0"
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  }
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  ],
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  "image": "https://raw.githubusercontent.com/AuraMa111/Urban_Tree_Canopy_in_Durham/main/Picture1.png"
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  }
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+ ```
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  The Durham Urban Canopy Analysis and Enhancement Initiative (DUCAEI) is committed to utilizing the Trees & Planting Sites dataset for a comprehensive geospatial analysis of Durham's urban tree canopy. Through Python within Google Colab, our aim is to identify key locations for canopy expansion, evaluate the impact of urban development on green spaces, and deliver informed recommendations for the sustainable growth of urban tree coverage.