Perform one hot encoding on the sequences

src/preprocessing.py

@@ -77,7 +77,7 @@ def create_dataset(data_file, label_file, dataset_split=[0.8, 0.1, 0.1]) -> None
 
 def transform_features(parsed_features) -> Dict[str, Tensor]:
     """
-    Transform the parsed features of an Example into a list of dense Tensors
+    Transform the parsed features of an Example into a list of dense one hot encoded Tensors
     """
     features = {}
     sparse_features = ["sequence", "label"]