Fix some internal documentation links.

declearn/dataset/tensorflow/__init__.py

@@ -17,7 +17,7 @@
 
 """Dataset interface to wrap up 'tensorflow.data.Dataset' instances.
 
-* [TensorflowDataset][declarn.dataset.tensorflow.TensorflowDataset]:
+* [TensorflowDataset][declearn.dataset.tensorflow.TensorflowDataset]:
     Dataset subclass to wrap up 'tensorflow.data.Dataset' instances.
 """
 

declearn/dataset/torch/__init__.py

@@ -19,7 +19,7 @@
 
 The main class implementing by this submodule is `TorchDataset`:
 
-* [TorchDataset][declarn.dataset.torch.TorchDataset]:
+* [TorchDataset][declearn.dataset.torch.TorchDataset]:
     Dataset subclass serving torch Datasets.
 
 Some utils are also exposed here, either used as part of the `TorchDataset`

declearn/dataset/torch/_torch.py

@@ -213,7 +213,7 @@ class TorchDataset(Dataset):
     @staticmethod
     def check_dataset_specs(specs) -> None:
         """Utility function checking that user-defined `get_specs()`
-        method returns valid [DataSpecs][declearn.dataset.Dataspecs]
+        method returns valid [DataSpecs][declearn.dataset.DataSpecs]
         fields."""
         acceptable = {f.name for f in dataclasses.fields(DataSpecs)}
         for key in specs.keys():