Overview Use Cases Connectors Authentication Getting Started with the Python SDK API Reference ai_agents ai_chat algorithm annotations application_connectors batch_prediction code_completion custom_loss_function custom_metric database_connectors dataset createDatasetFromApplicationConnector createDatasetFromDatabaseConnector createDatasetFromFileConnector createDatasetFromStreamingConnector createDatasetFromUpload createDatasetVersionFromApplicationConnector createDatasetVersionFromDatabaseConnector createDatasetVersionFromDocumentReprocessing createDatasetVersionFromFileConnector createDatasetVersionFromUpload createRealtimeContentStore deleteDataset deleteDatasetVersion describeDataset describeDatasetVersion getDatasetSchema getDatasetVersionLogs getDatasetVersionMetrics listDatasetVersions listDatasets setDatasetColumnDataType setDatasetDatabaseConnectorConfig setStreamingRetentionPolicy snapshotStreamingData updateDatasetVersionLimit deployment deployment_conversations docstore document_retrievers documentation eda external_app feature_drift feature_group feature_group_row_process feature_group_template file_connectors graph_dashboard holdout_analysis llm_apps model model_monitoring module natural_language_explanation organization pipelines predict prediction_operator project python_function refresh secrets streaming streaming_connectors upload webhooks API Classes API Inputs Documentation Chat Bot API Search Video Tutorials ChatLLM

Method

getDatasetSchema GET

Copy GET

Retrieves the column schema of a dataset.

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	datasetId	str	Unique string identifier of the dataset schema to look up.

Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY	TYPE	DESCRIPTION
success	Boolean	true if the call succeeded, false if there was an error
result	list[DatasetColumn]

Exceptions:

TYPE	WHEN
DataNotFoundError	`datasetId` is not found.

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