Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: datasets.patch

Updates a Dataset.

Endpoint

patch https://{service-endpoint}/v1/{dataset.name}

PATCH https://{service-endpoint}/v1/{dataset.name}

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

Path parameters

dataset.name string

Output only. Identifier. The resource name of the Dataset.

Query parameters

updateMask string (FieldMask format)

Required. The update mask applies to the resource. For the FieldMask definition, see google.protobuf.FieldMask. Updatable fields:

displayName
description
labels

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 Dataset.