Update README.md

README.md

@@ -9,8 +9,8 @@ The model was trained on the NLI data and a variety of datasets evaluating summa
 
 ## Performance
 
-* [TRUE Dataset (Minus Vitamin C, FEVER and PAWS)](https://arxiv.org/pdf/2204.04991.pdf) - 0.872 AUC Score
-* [SummaC Benchmark (Test Split)](https://aclanthology.org/2022.tacl-1.10.pdf) - 0.764 Balanced Accuracy, 0.831 AUC Score
+* [TRUE Dataset](https://arxiv.org/pdf/2204.04991.pdf) (Minus Vitamin C, FEVER and PAWS) - 0.872 AUC Score
+* [SummaC Benchmark](https://aclanthology.org/2022.tacl-1.10.pdf) (Test Split) - 0.764 Balanced Accuracy, 0.831 AUC Score
 * [AnyScale Ranking Test for Hallucinations](https://www.anyscale.com/blog/llama-2-is-about-as-factually-accurate-as-gpt-4-for-summaries-and-is-30x-cheaper) - 86.6 % Accuracy
 
 ## Usage