diff --git a/graphbench/_loader/_loader.py b/graphbench/_loader/_loader.py
index 91020ba..c2f7ded 100644
--- a/graphbench/_loader/_loader.py
+++ b/graphbench/_loader/_loader.py
@@ -10,7 +10,7 @@
 from graphbench._metadata import expand_dataset_names
 from ._dataset_registry import DatasetRegistry
 from ._split_strategies import AlgoReasSplitStrategy, FixedSplitStrategy, RatioSplitStrategy, TrainValTestSet
-from graphbench.datasets._weatherforecasting import _prepare_weather_cache_once, EfficientWeatherGraphDataset
+from graphbench.datasets._weatherforecasting import _prepare_weather_cache_once, WeatherforecastingDataset
 
 
 class Loader():
@@ -263,7 +263,7 @@ def _make_weather_dataset(
         #dataset = EfficientWeatherGraphDataset(root=root, pre_transform=None, transform=None)
 
         #hier noch den return anpassen
-        return EfficientWeatherGraphDataset(
+        return WeatherforecastingDataset(
             root=self.root,
             pre_filter=self.pre_filter,
             pre_transform=self.pre_transform,
diff --git a/graphbench/datasets/__init__.py b/graphbench/datasets/__init__.py
index 6f3e1b8..43259ac 100644
--- a/graphbench/datasets/__init__.py
+++ b/graphbench/datasets/__init__.py
@@ -5,7 +5,7 @@
 from ._combinatorial_optimization import CODataset
 from ._electroniccircuits import ECDataset
 from ._sat import SATDataset
-from ._weatherforecasting import EfficientWeatherGraphDataset
+from ._weatherforecasting import WeatherforecastingDataset
 
 
 __all__ = [
@@ -16,5 +16,5 @@
     "CODataset",
     "ECDataset",
     "SATDataset",
-    "EfficientWeatherGraphDataset",
+    "WeatherforecastingDataset",
 ]
diff --git a/graphbench/datasets/_weatherforecasting.py b/graphbench/datasets/_weatherforecasting.py
index c65f8d4..1ff4b26 100644
--- a/graphbench/datasets/_weatherforecasting.py
+++ b/graphbench/datasets/_weatherforecasting.py
@@ -59,7 +59,7 @@ def tqdm(iterable, *args, **kwargs):
 
 # Data files specific to each task (sourced from the task-specific repo).
 # weather_64.pt is the raw timestep data; saved as weather_dataset.pt which is
-# what EfficientWeatherGraphDataset.process() expects.
+# what WeatherforecastingDataset.process() expects.
 _HF_WEATHER_DATA_FILES = {
     "weather_64.pt": "weather_dataset.pt",
 }
@@ -114,7 +114,7 @@ def _prepare_weather_cache_once(root: str, timeout_s: int, skip_cache_build: boo
     Raw component files (static_components.pkl, metadata.pkl, etc.) are
     downloaded from HuggingFace automatically when missing.
     """
-    #from wf_utils import EfficientWeatherGraphDataset
+    #from wf_utils import WeatherforecastingDataset
 
     root_path = Path(root)
     processed_path = root_path /"weather" / "processed" / "weather_graph_data_processed.pt"
@@ -137,7 +137,7 @@ def _prepare_weather_cache_once(root: str, timeout_s: int, skip_cache_build: boo
         elif not processed_path.exists():
             _ensure_raw_weather_files(root, task_name)
             logger.info(f"Rank 0 building weather processed cache at {processed_path}")
-            EfficientWeatherGraphDataset(root=root, pre_transform=None, transform=None)
+            WeatherforecastingDataset(root=root, pre_transform=None, transform=None)
         else:
             logger.info(f"Rank 0 reusing existing weather processed cache at {processed_path}")
 
@@ -412,7 +412,7 @@ def backmap(sorted_idx: np.ndarray) -> np.ndarray:
 
     return TemporalSplits(train_idx=train_idx, val_idx=val_idx, test_idx=test_idx)
 
-class EfficientWeatherGraphDataset(InMemoryDataset):
+class WeatherforecastingDataset(InMemoryDataset):
     """
     Weather forecasting dataset.