Update README.md

Add link to public dataset.

README.md

@@ -42,7 +42,7 @@ The model utilizes the `MistralForCausalLM` architecture along with a `LlamaToke
 
 ## Training Data
 
-The model was trained on a dataset specifically designed for the mortgage and loan sector, featuring 39 intents including `apply_for_loan`, `check_loan_terms`, `refinance_loan`, `customer_service`, and many others, each with nearly 1000 examples. This rich dataset ensures the model's proficiency in addressing a broad spectrum of inquiries within this domain.
+The model was trained on a dataset specifically designed for the mortgage and loan sector, featuring 39 intents including `apply_for_loan`, `check_loan_terms`, `refinance_loan`, `customer_service`, and many others, each with nearly 1000 examples. This rich dataset ensures the model's proficiency in addressing a broad spectrum of inquiries within this domain. The dataset follows the same structured approach as our dataset published on Hugging Face as [bitext/Bitext-customer-support-llm-chatbot-training-dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset), but with a focus on mortgage and loans.
 
 ## Training Procedure