google_api_dialogflow v0.38.0 GoogleApi.Dialogflow.V2.Model.GoogleCloudDialogflowV2beta1AnnotatedConversationDataset View Source

Represents an annotated conversation dataset. ConversationDataset can have multiple AnnotatedConversationDataset, each of them represents one result from one annotation task. AnnotatedConversationDataset can only be generated from annotation task, which will be triggered by LabelConversation.

Attributes

  • completedExampleCount (type: String.t, default: nil) - Output only. Number of examples that have annotations in the annotated conversation dataset.
  • createTime (type: DateTime.t, default: nil) - Output only. Creation time of this annotated conversation dataset.
  • description (type: String.t, default: nil) - Optional. The description of the annotated conversation dataset. Maximum of 10000 bytes.
  • displayName (type: String.t, default: nil) - Required. The display name of the annotated conversation dataset. It's specified when user starts an annotation task. Maximum of 64 bytes.
  • exampleCount (type: String.t, default: nil) - Output only. Number of examples in the annotated conversation dataset.
  • name (type: String.t, default: nil) - Output only. AnnotatedConversationDataset resource name. Format: projects/<Project ID>/conversationDatasets/<Conversation Dataset ID>/annotatedConversationDatasets/<Annotated Conversation Dataset ID>
  • questionTypeName (type: String.t, default: nil) - Output only. Question type name that identifies a labeling task. A question is a single task that a worker answers. A question type is set of related questions. Each question belongs to a particular question type. It can be used in CrowdCompute UI to filter and manage labeling tasks.

Link to this section Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Link to this section Types

Link to this type

t()

View Source
t() ::
  %GoogleApi.Dialogflow.V2.Model.GoogleCloudDialogflowV2beta1AnnotatedConversationDataset{
    completedExampleCount: String.t(),
    createTime: DateTime.t(),
    description: String.t(),
    displayName: String.t(),
    exampleCount: String.t(),
    name: String.t(),
    questionTypeName: String.t()
  }

Link to this section Functions

Link to this function

decode(value, options)

View Source
decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.