Update README.md

README.md

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 # Kadaster DST 🗂️
 
-Welcome to the official Hugging Face organization for **Kadaster DST** – the data science team at the Dutch Cadastre. We develop and share models that support public data services and spatial information management in the Netherlands.
+Welcome to the official Hugging Face organization for **Kadaster DST** – the data science team at the Dutch Cadastre DataScience Team. We develop and share models that support public data services and spatial information management in the Netherlands.
 
 ## 🚀 What We Do
 
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 - **Aardcode Detection**: Automatically identify 'aardcodes' (land classification codes) from unstructured data.
 - **Werkaanbod Prediction**: Forecast incoming work volumes for efficient resource planning.
-- **SPARQL Query Generation**: Translate natural language questions into executable SPARQL queries for querying linked data.
-- **ID Card Detection**: Identify and extract information from Dutch identification cards.
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-## 📦 Get Involved
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-Browse our models, use them in your applications, or contribute to their development. Our work aims to promote transparency, reproducibility, and innovation in the geospatial and administrative domains.
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-For more information about Kadaster and our projects, visit [kadaster.nl](https://www.kadaster.nl).
+- **SPARQL Query Generation**: Translate natural language questions into executable SPARQL queries for querying linked data.