fix(datasets): add metadata parameter to datasets

kedro-datasets/kedro_datasets/databricks/managed_table_dataset.py

@@ -230,6 +230,7 @@ def __init__(  # noqa: PLR0913
         schema: dict[str, Any] | None = None,
         partition_columns: list[str] | None = None,
         owner_group: str | None = None,
+        metadata: dict[str, Any] | None = None,
     ) -> None:
         """Creates a new instance of ``ManagedTableDataset``.
 
@@ -259,6 +260,8 @@ def __init__(  # noqa: PLR0913
             owner_group: if table access control is enabled in your workspace,
                 specifying owner_group will transfer ownership of the table and database to
                 this owner. All databases should have the same owner_group. Defaults to None.
+            metadata: Any arbitrary metadata.
+                This is ignored by Kedro, but may be consumed by users or external plugins.
         Raises:
             DatasetError: Invalid configuration supplied (through ManagedTable validation)
         """
@@ -276,6 +279,7 @@ def __init__(  # noqa: PLR0913
         )
 
         self._version = version
+        self.metadata = metadata
 
         super().__init__(
             filepath=None,  # type: ignore[arg-type]

kedro-datasets/kedro_datasets/huggingface/hugging_face_dataset.py

@@ -41,9 +41,11 @@ def __init__(
         *,
         dataset_name: str,
         dataset_kwargs: dict[str, Any] | None = None,
+        metadata: dict[str, Any] | None = None,
     ):
         self.dataset_name = dataset_name
         self._dataset_kwargs = dataset_kwargs or {}
+        self.metadata = metadata
 
     def _load(self):
         return load_dataset(self.dataset_name, **self._dataset_kwargs)

kedro-datasets/kedro_datasets/huggingface/transformer_pipeline_dataset.py

@@ -43,12 +43,14 @@ def __init__(
         task: str | None = None,
         model_name: str | None = None,
         pipeline_kwargs: dict[str, t.Any] | None = None,
+        metadata: dict[str, t.Any] | None = None,
     ):
         if task is None and model_name is None:
             raise ValueError("At least 'task' or 'model_name' are needed")
         self._task = task if task else None
         self._model_name = model_name
         self._pipeline_kwargs = pipeline_kwargs or {}
+        self.metadata = metadata
 
         if self._pipeline_kwargs and (
             "task" in self._pipeline_kwargs or "model" in self._pipeline_kwargs

kedro-datasets/kedro_datasets/ibis/table_dataset.py

@@ -80,6 +80,7 @@ def __init__(  # noqa: PLR0913
         connection: dict[str, Any] | None = None,
         load_args: dict[str, Any] | None = None,
         save_args: dict[str, Any] | None = None,
+        metadata: dict[str, Any] | None = None,
     ) -> None:
         """Creates a new ``TableDataset`` pointing to a table (or file).
 
@@ -117,6 +118,8 @@ def __init__(  # noqa: PLR0913
                 objects are materialized as views. To save a table using
                 a different materialization strategy, supply a value for
                 `materialized` in `save_args`.
+            metadata: Any arbitrary metadata. This is ignored by Kedro,
+                but may be consumed by users or external plugins.
         """
         if filepath is None and table_name is None:
             raise DatasetError(
@@ -127,6 +130,7 @@ def __init__(  # noqa: PLR0913
         self._file_format = file_format
         self._table_name = table_name
         self._connection_config = connection
+        self.metadata = metadata
 
         # Set load and save arguments, overwriting defaults if provided.
         self._load_args = deepcopy(self.DEFAULT_LOAD_ARGS)

kedro-datasets/kedro_datasets/polars/eager_polars_dataset.py

@@ -68,6 +68,7 @@ def __init__(  # noqa: PLR0913
         version: Version | None = None,
         credentials: dict[str, Any] | None = None,
         fs_args: dict[str, Any] | None = None,
+        metadata: dict[str, Any] | None = None,
     ):
         """Creates a new instance of ``EagerPolarsDataset`` pointing to a concrete data file
         on a specific filesystem. The appropriate polars load/save methods are dynamically
@@ -124,6 +125,7 @@ def __init__(  # noqa: PLR0913
 
         self._protocol = protocol
         self._fs = fsspec.filesystem(self._protocol, **_credentials, **_fs_args)
+        self.metadata = metadata
 
         super().__init__(
             filepath=PurePosixPath(path),

kedro-datasets/kedro_datasets/spark/spark_streaming_dataset.py

@@ -42,13 +42,14 @@ class SparkStreamingDataset(AbstractDataset):
     DEFAULT_LOAD_ARGS = {}  # type: dict[str, Any]
     DEFAULT_SAVE_ARGS = {}  # type: dict[str, Any]
 
-    def __init__(
+    def __init__(  # noqa: PLR0913
         self,
         *,
         filepath: str = "",
         file_format: str = "",
         save_args: dict[str, Any] | None = None,
         load_args: dict[str, Any] | None = None,
+        metadata: dict[str, Any] | None = None,
     ) -> None:
         """Creates a new instance of SparkStreamingDataset.
 
@@ -73,10 +74,13 @@ def __init__(
                 respectively. You can find a list of options for each selected format in
                 Spark DataFrame write documentation, see
                 https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html
+            metadata: Any arbitrary metadata.
+                This is ignored by Kedro, but may be consumed by users or external plugins.
         """
         self._file_format = file_format
         self._save_args = save_args
         self._load_args = load_args
+        self.metadata = metadata
 
         fs_prefix, filepath = _split_filepath(filepath)