Update README.md

README.md

@@ -185,7 +185,7 @@ Summary:"""
 
 ## 📊 **Training Data**
 
-BSG CyLlama was trained on [19,174 scientific abstracts](https://huggingface.co/datasets/jimnoneill/BSG_CyLlama-training) organized for cyclical corpus summarization:
+BSG CyLlama was trained on [19,174 clusters of scientific abstracts](https://huggingface.co/datasets/jimnoneill/BSG_CyLlama-training) organized for cyclical corpus summarization:
 
 - **Corpus Groups**: Documents clustered by research themes
 - **Cyclical Training**: Model learned to process document series
@@ -229,7 +229,7 @@ python bsg_cyllama_demo.py
 ```bibtex
 @misc{bsg-cyllama-2025,
   title={BSG CyLlama: Biomedical Summary Generation through Cyclical Llama},
-  author={BSG Research Team},
+  author={Jamey ONeill},
   year={2025},
   url={https://huggingface.co/jimnoneill/BSG_CyLlama},
   note={Novel cyclical embedding averaging methodology for corpus-level summarization}