Update about text

src/about.py

@@ -43,6 +43,7 @@ points, spanning seven domains, 10 frequencies, multivariate inputs, and predict
 # Which evaluations are you running? how can people reproduce what you have?
 LLM_BENCHMARKS_TEXT = f"""
 ## Update Log
+
 ### 2025-08-25
 - Added new model type: Zero-shot to distinguish between foundation model submissions that don't use training data of GIFT-Eval. Now models tagged with zero-shot indicate that the model is not trained on the GIFT-Eval training data. Test data leakage is still separately tracked with the TestData Leakage column. For a model be tagged as `zero-shot`, it must both not have test data leakage and not use any training split from GIFT-Eval.