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feat: GenAI SDK client(multimodal) - Make multimodal_dataset optional in create_from_pandas and create_from_bigframes. #6585

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copybara-service merged 1 commit into from
Apr 14, 2026
+8 −8
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feat: GenAI SDK client(multimodal) - Make multimodal_dataset optional in create_from_pandas and create_from_bigframes. #6585

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16 changes: 8 additions & 8 deletions vertexai/_genai/datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -953,7 +953,7 @@ def create_from_pandas(
self,
*,
dataframe: pd.DataFrame,
multimodal_dataset: types.MultimodalDatasetOrDict,
multimodal_dataset: Optional[types.MultimodalDatasetOrDict] = None,
target_table_id: Optional[str] = None,
config: Optional[types.CreateMultimodalDatasetConfigOrDict] = None,
) -> types.MultimodalDataset:
Expand All @@ -963,7 +963,7 @@ def create_from_pandas(
dataframe (pandas.DataFrame):
The pandas dataframe to be used for the created dataset.
multimodal_dataset:
Required. A representation of a multimodal dataset.
Optional. A representation of a multimodal dataset.
target_table_id (str):
Optional. The BigQuery table id where the dataframe will be
uploaded. The table id can be in the format of "dataset.table"
Expand Down Expand Up @@ -1007,7 +1007,7 @@ def create_from_bigframes(
self,
*,
dataframe: "bigframes.pandas.DataFrame", # type: ignore # noqa: F821
multimodal_dataset: types.MultimodalDatasetOrDict,
multimodal_dataset: Optional[types.MultimodalDatasetOrDict] = None,
target_table_id: Optional[str] = None,
config: Optional[types.CreateMultimodalDatasetConfigOrDict] = None,
) -> types.MultimodalDataset:
Expand All @@ -1018,7 +1018,7 @@ def create_from_bigframes(
The BigFrames dataframe that will be used for the created
dataset.
multimodal_dataset:
Required. A representation of a multimodal dataset.
Optional. A representation of a multimodal dataset.
target_table_id (str):
Optional. The BigQuery table id where the dataframe will be
uploaded. The table id can be in the format of "dataset.table"
Expand Down Expand Up @@ -2177,7 +2177,7 @@ async def create_from_pandas(
self,
*,
dataframe: pd.DataFrame,
multimodal_dataset: types.MultimodalDatasetOrDict,
multimodal_dataset: Optional[types.MultimodalDatasetOrDict] = None,
target_table_id: Optional[str] = None,
config: Optional[types.CreateMultimodalDatasetConfigOrDict] = None,
) -> types.MultimodalDataset:
Expand All @@ -2187,7 +2187,7 @@ async def create_from_pandas(
dataframe (pandas.DataFrame):
The pandas dataframe to be used for the created dataset.
multimodal_dataset:
Required. A representation of a multimodal dataset.
Optional. A representation of a multimodal dataset.
target_table_id (str):
Optional. The BigQuery table id where the dataframe will be
uploaded. The table id can be in the format of "dataset.table"
Expand Down Expand Up @@ -2231,7 +2231,7 @@ async def create_from_bigframes(
self,
*,
dataframe: "bigframes.pandas.DataFrame", # type: ignore # noqa: F821
multimodal_dataset: types.MultimodalDatasetOrDict,
multimodal_dataset: Optional[types.MultimodalDatasetOrDict] = None,
target_table_id: Optional[str] = None,
config: Optional[types.CreateMultimodalDatasetConfigOrDict] = None,
) -> types.MultimodalDataset:
Expand All @@ -2242,7 +2242,7 @@ async def create_from_bigframes(
The BigFrames dataframe that will be used for the created
dataset.
multimodal_dataset:
Required. A representation of a multimodal dataset.
Optional. A representation of a multimodal dataset.
target_table_id (str):
Optional. The BigQuery table id where the dataframe will be
uploaded. The table id can be in the format of "dataset.table"
Expand Down
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