Typo

Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>

docs/source/data/data_catalog.md

@@ -144,7 +144,7 @@ kedro run --load-version=cars:YYYY-MM-DDThh.mm.ss.sssZ
 ```
 where `--load-version` is dataset name and version timestamp separated by `:`.
 
-A dataset offers versioning support if it extends the [`AbstractVersionedDataSet`](/kedro.io.AbstractVersionedDataSet) class to accept a version keyword argument as part of the constructor and adapt the `_save` and `_load` method to use the versioned data path obtained from `_get_save_path` and `_get_load_path` respectively.
+A dataset offers versioning support if it extends the [`AbstractVersionedDataSet`](/kedro.io.AbstractVersionedDataset) class to accept a version keyword argument as part of the constructor and adapt the `_save` and `_load` method to use the versioned data path obtained from `_get_save_path` and `_get_load_path` respectively.
 
 To verify whether a dataset can undergo versioning, you should examine the dataset class code to inspect its inheritance [(you can find contributed datasets within the `kedro-datasets` repository)](https://github.com/kedro-org/kedro-plugins/tree/main/kedro-datasets/kedro_datasets). Check if the dataset class inherits from the `AbstractVersionedDataSet`. For instance, if you encounter a class like `CSVDataSet(AbstractVersionedDataSet[pd.DataFrame, pd.DataFrame])`, this indicates that the dataset is set up to support versioning.