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.

ImportConversationDataOperationMetadata

JSON representation

Metadata for a ConversationDatasets.ImportConversationData operation.

JSON representation
{ "conversationDataset": string, "partialFailures": [ { object (`Status`) } ], "createTime": string }

Fields

Fields
`conversationDataset`	`string` The resource name of the imported conversation dataset. Format: `projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset Id>`
`partialFailures[]`	`object (Status)` Partial failures are failures that don't fail the whole long running operation, e.g. single files that couldn't be read.
`createTime`	`string (Timestamp format)` Timestamp when import conversation data request was created. The time is measured on server side. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: `"2014-10-02T15:01:23Z"` and `"2014-10-02T15:01:23.045123456Z"`.

conversationDataset

string

The resource name of the imported conversation dataset. Format: projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset Id>

partialFailures[]

object (Status)

Partial failures are failures that don't fail the whole long running operation, e.g. single files that couldn't be read.

createTime

string (Timestamp format)

Timestamp when import conversation data request was created. The time is measured on server side.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".