Update README.md

README.md

@@ -23,8 +23,7 @@ Pep2Prob is a comprehensive dataset designed to predict peptide-specific fragmen
 
 ## ⚠️ Important Data Access Notice
 
-<!-- **HuggingFace Statistics Issue**: -->
-> The repository statistics incorrectly show ~3.15 million entries due to a platform counting error. HuggingFace sums across our five train-test splits (610,117 × 5 ≈ 3.15M) instead of recognizing these as the same unique precursors distributed into separate folds.
+**HuggingFace Statistics Issue**: The repository statistics incorrectly show ~3.15 million entries due to a platform counting error. HuggingFace sums across our five train-test splits (610,117 × 5 ≈ 3.15M) instead of recognizing these as the same unique precursors distributed into separate folds.
 
 **Recommended Data Access Methods**:
 
@@ -69,7 +68,7 @@ Pep2Prob/
 - **`pep2prob_dataset.csv`**: Main dataset containing fragment ion probability statistics for 610,117 unique peptide precursors, derived from over 183 million high-resolution HCD MS/MS spectra
 - **`X_columns.csv`**: Metadata describing input features (peptide sequence information, amino acid properties, fragment ion types, physicochemical features)
 - **`Y_columns.csv`**: Metadata describing target variables (probability values for different fragment ion types)
-- **`train_test_split_set_X/`**: Five pre-defined cross-validation splits ensuring no sequence similarity between training and testing sets, preventing data leakage
+- **`train_test_split_set_X/`**: Five pre-defined train-test splits ensuring no sequence similarity between training and testing sets, preventing data leakage
 
 ## 🎯 Train-test split Methodology