Update README.md

README.md

@@ -428,7 +428,7 @@ model-index:
 DEk21_hcmute_embedding is a Vietnamese text embedding  focused on RAG and production efficiency:
 
 📚 **Trained Dataset**:  
-The model was trained on an in-house dataset consisting of approximately **80,000 examples** of legal questions and their related contexts.
+The model was trained on an in-house dataset consisting of approximately **100,000 examples** of legal questions and their related contexts.
 
 🪆 **Efficiency**:  
 Trained with a **Matryoshka loss**, allowing embeddings to be truncated with minimal performance loss. This ensures that smaller embeddings are faster to compare, making the model efficient for real-world production use.