Update README.md

README.md

@@ -47,7 +47,7 @@ The original dataset only had `train` and `test` splits. We applied the followin
 * If a train-val-test split is available, we use the existing divisions as provided.
 * For datasets with a train-test split only, we create a val split from the training set, sized to match the test set, and apply this across all models.
 * In cases with a train-val split, we reassign the val set as the test split, then generate a new val split from the training data following the approach above.
-* In cases with a val-test split, we split validation into train and vad sets in 80\% and 20\% proportions, respectively.
+* In cases with a val-test split, we split validation into train and val sets in 80\% and 20\% proportions, respectively.
 * When only a single combined split is present, we partition the data into train, val, and test sets in 70\%, 15\%, and 15\% proportions, respectively.
 
 ### Data Fields