Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.

Method: processors.updateDataset

Full name: projects.locations.processors.updateDataset

Updates metadata associated with a dataset.

HTTP request

PATCH https://{endpoint}/v1beta3/{dataset.name}

Where {endpoint} is one of the supported service endpoints.

Path parameters

Parameters

Parameters
`dataset.name`	`string` Dataset resource name. Format: `projects/{project}/locations/{location}/processors/{processor}/dataset` It takes the form `projects/{project}/locations/{location}/processors/{processor}/dataset`.

dataset.name

string

Dataset resource name. Format: projects/{project}/locations/{location}/processors/{processor}/dataset It takes the form projects/{project}/locations/{location}/processors/{processor}/dataset.

Query parameters

Parameters

Parameters
`updateMask`	`string (FieldMask format)` The update mask applies to the resource. This is a comma-separated list of fully qualified names of fields. Example: `"user.displayName,photo"`.

updateMask

string (FieldMask format)

The update mask applies to the resource.

This is a comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".

Request body

The request body contains an instance of Dataset.

Response body

If successful, the response body contains an instance of Operation.

Authorization scopes

Requires the following OAuth scope:

https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the name resource:

documentai.datasets.update

For more information, see the IAM documentation.