Required. The desired input locations. The contents of all input locations will be imported in one batch.
Response body
If successful, the response body contains an instance of Operation.
ImportDataConfig
Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.
Fields
dataItemLabels
map (key: string, value: string)
Labels that will be applied to newly imported DataItems. If an identical DataItem as one being imported already exists in the Dataset, then these labels will be appended to these of the already existing one, and if labels with identical key is imported before, the old label value will be overwritten. If two DataItems are identical in the same import data operation, the labels will be combined and if key collision happens in this case, one of the values will be picked randomly. Two DataItems are considered identical if their content bytes are identical (e.g. image bytes or pdf bytes). These labels will be overridden by Annotation labels specified inside index file referenced by importSchemaUri, e.g. jsonl file.
annotationLabels
map (key: string, value: string)
Labels that will be applied to newly imported Annotations. If two Annotations are identical, one of them will be deduped. Two Annotations are considered identical if their payload, payloadSchemaUri and all of their labels are the same. These labels will be overridden by Annotation labels specified inside index file referenced by importSchemaUri, e.g. jsonl file.
importSchemaUri
string
Required. Points to a YAML file stored on Google Cloud Storage describing the import format. Validation will be done against the schema. The schema is defined as an OpenAPI 3.0.2 Schema Object.
source
Union type
The source of the input. source can be only one of the following:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-27 UTC."],[],[],null,["# Method: datasets.import\n\n**Full name**: projects.locations.datasets.import\n\nImports data into a Dataset. \n\n### Endpoint\n\npost `https:``/``/{service-endpoint}``/v1``/{name}:import` \nWhere `{service-endpoint}` is one of the [supported service endpoints](/vertex-ai/docs/reference/rest#rest_endpoints).\n\n### Path parameters\n\n`name` `string` \nRequired. The name of the Dataset resource. Format: `projects/{project}/locations/{location}/datasets/{dataset}`\n\n### Request body\n\nThe request body contains data with the following structure:\nFields `importConfigs[]` `object (`[ImportDataConfig](/vertex-ai/docs/reference/rest/v1/projects.locations.datasets/import#ImportDataConfig)`)` \nRequired. The desired input locations. The contents of all input locations will be imported in one batch. \n\n### Response body\n\nIf successful, the response body contains an instance of [Operation](/vertex-ai/docs/reference/rest/Shared.Types/ListOperationsResponse#Operation).\n\nImportDataConfig\n----------------\n\nDescribes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.\nFields `dataItemLabels` `map (key: string, value: string)` \nLabels that will be applied to newly imported DataItems. If an identical DataItem as one being imported already exists in the Dataset, then these labels will be appended to these of the already existing one, and if labels with identical key is imported before, the old label value will be overwritten. If two DataItems are identical in the same import data operation, the labels will be combined and if key collision happens in this case, one of the values will be picked randomly. Two DataItems are considered identical if their content bytes are identical (e.g. image bytes or pdf bytes). These labels will be overridden by Annotation labels specified inside index file referenced by [importSchemaUri](/vertex-ai/docs/reference/rest/v1/projects.locations.datasets/import#ImportDataConfig.FIELDS.import_schema_uri), e.g. jsonl file.\n`annotationLabels` `map (key: string, value: string)` \nLabels that will be applied to newly imported Annotations. If two Annotations are identical, one of them will be deduped. Two Annotations are considered identical if their [payload](/vertex-ai/docs/reference/rest/v1/Annotation#FIELDS.payload), [payloadSchemaUri](/vertex-ai/docs/reference/rest/v1/Annotation#FIELDS.payload_schema_uri) and all of their [labels](/vertex-ai/docs/reference/rest/v1/Annotation#FIELDS.labels) are the same. These labels will be overridden by Annotation labels specified inside index file referenced by [importSchemaUri](/vertex-ai/docs/reference/rest/v1/projects.locations.datasets/import#ImportDataConfig.FIELDS.import_schema_uri), e.g. jsonl file.\n`importSchemaUri` `string` \nRequired. Points to a YAML file stored on Google Cloud Storage describing the import format. Validation will be done against the schema. The schema is defined as an [OpenAPI 3.0.2 Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). \n`source` `Union type` \nThe source of the input. `source` can be only one of the following:\n`gcsSource` `object (`[GcsSource](/vertex-ai/docs/reference/rest/v1/GcsSource)`)` \nThe Google Cloud Storage location for the input content."]]