Updated Partitioned dataset lazy saving docs

Signed-off-by: Elena Khaustova <ymax70rus@gmail.com>

docs/source/data/partitioned_and_incremental_datasets.md

@@ -213,7 +213,7 @@ Writing to an existing partition may result in its data being overwritten, if th
 ### Partitioned dataset lazy saving
 `PartitionedDataset` also supports lazy saving, where the partition's data is not materialised until it is time to write.
 
-To use this, simply return `Callable` types in the dictionary:
+To use this, simply wrap your object with `lambda` function in the dictionary before return:
 
 ```python
 from typing import Any, Dict, Callable
@@ -234,6 +234,10 @@ def create_partitions() -> Dict[str, Callable[[], Any]]:
     }
 ```
 
+```{note}
+Other `Callable` types but `lambda` provided will be ignored and processed as is without apllying lazy saving.
+```
+
 ```{note}
 When using lazy saving, the dataset will be written _after_ the `after_node_run` [hook](../hooks/introduction).
 ```