diff --git a/pypots/data/load_specific_datasets.py b/pypots/data/load_specific_datasets.py
index 174b148c..c43864cd 100644
--- a/pypots/data/load_specific_datasets.py
+++ b/pypots/data/load_specific_datasets.py
@@ -57,7 +57,7 @@ def load_specific_dataset(dataset_name: str, use_cache: bool = True) -> dict:
 
     """
     logger.info(
-        f"Loading the dataset {dataset_name} with TSDB (https://github.com/WenjieDu/Time_Series_Database)..."
+        f"Loading the dataset {dataset_name} with TSDB (https://github.com/WenjieDu/Time_Series_Data_Beans)..."
     )
     assert dataset_name in SUPPORTED_DATASETS, (
         f"Dataset {dataset_name} is not supported. "
diff --git a/pypots/imputation/csdi/data.py b/pypots/imputation/csdi/data.py
index b2798ca0..e0cfc894 100644
--- a/pypots/imputation/csdi/data.py
+++ b/pypots/imputation/csdi/data.py
@@ -69,14 +69,14 @@ def _fetch_data_from_array(self, idx: int) -> Iterable:
         X = self.X[idx].to(torch.float32)
         X_intact, X, missing_mask, indicating_mask = mcar(X, p=self.rate)
 
-        observed_data = X_intact  # i.e. originally observed data
-        observed_mask = missing_mask + indicating_mask  # i.e. originally missing masks
+        observed_data = X_intact
+        observed_mask = missing_mask + indicating_mask
         observed_tp = (
             torch.arange(0, self.n_steps, dtype=torch.float32)
             if self.time_points is None
             else self.time_points[idx].to(torch.float32)
         )
-        gt_mask = missing_mask  # missing mask with ground truth masked for validation
+        gt_mask = missing_mask
         for_pattern_mask = (
             gt_mask if self.for_pattern_mask is None else self.for_pattern_mask[idx]
         )