docs: ecml who?

docs/conf.py

@@ -33,12 +33,9 @@
 author = "ECMWF"
 
 year = datetime.datetime.now().year
-if year == 2024:
-    years = "2024"
-else:
-    years = "2024-%s" % (year,)
+years = "2024" if year == 2024 else f"2024-{year}"
 
-copyright = "%s, ECMWF" % (years,)
+copyright = f"{years}, ECMWF"
 
 
 try:

src/anemoi/training/data/datamodule.py

@@ -24,10 +24,10 @@
 
 
 class AnemoiDatasetsDataModule(pl.LightningDataModule):
-    """ECML data module for PyTorch Lightning."""
+    """Anemoi Datasets data module for PyTorch Lightning."""
 
     def __init__(self, config: DictConfig) -> None:
-        """Initialize ECML data module.
+        """Initialize Anemoi Datasets data module.
 
         Parameters
         ----------

src/anemoi/training/data/dataset.py

@@ -185,7 +185,7 @@ def per_worker_init(self, n_workers: int, worker_id: int) -> None:
     def __iter__(self) -> torch.Tensor:
         """Return an iterator over the dataset.
 
-        The datasets are retrieved by ECML Tools from zarr files. This iterator yields
+        The datasets are retrieved by Anemoi Datasets from zarr files. This iterator yields
         chunked batches for DDP and sharded training.
 
         Currently it receives data with an ensemble dimension, which is discarded for