Update README.md

README.md

@@ -22,7 +22,7 @@ The model excels in domains governed by strict formal rules, precise terminology
 
 ## Model Description
 
-SteuerLLM is based on an expanded Mistral Small architecture (extended from 24B to 28B parameters through a block expansion method). It was trained on a large-scale synthetic dataset generated from authentic German university tax law examination material using a controlled retrieval-augmented pipeline.
+SteuerLLM is based on an expanded Mistral Small architecture (extended from 24B to 28B parameters through a block expansion method). It was trained on a large-scale synthetic dataset generated from seed questions out of examination material using an automated retrieval-augmented pipeline (websearch).
 
 The training procedure follows a two-stage approach:
 1.  **Continual Pretraining:** The base model's representations are adapted to tax-specific terminology and concepts by pretraining on domain-filtered web data.