Update README.md

README.md

@@ -513,4 +513,6 @@ We took chunks of size 250 tokens, 500 tokens, and 1000 tokens randomly for each
 
 We then used these chunks to generate questions and answers based on this text using a state-of-the-art LLM.
 
-Finally, we selected negatives for each chunk using the similarity from the dense embeddings of the [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) model.
+Finally, we selected negatives for each chunk using the similarity from the dense embeddings of the [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) model.
+
+The training data for this model can be found at [lightblue/kurage_training_data](https://huggingface.co/datasets/lightblue/kurage_training_data)