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// Copyright 2024 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

syntax = "proto3";

package google.cloud.automl.v1;

import "google/api/resource.proto";
import "google/cloud/automl/v1/image.proto";
import "google/cloud/automl/v1/text.proto";
import "google/cloud/automl/v1/translation.proto";
import "google/protobuf/timestamp.proto";

option csharp_namespace = "Google.Cloud.AutoML.V1";
option go_package = "cloud.google.com/go/automl/apiv1/automlpb;automlpb";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1";
option ruby_package = "Google::Cloud::AutoML::V1";

// A workspace for solving a single, particular machine learning (ML) problem.
// A workspace contains examples that may be annotated.
message Dataset {
  option (google.api.resource) = {
    type: "automl.googleapis.com/Dataset"
    pattern: "projects/{project}/locations/{location}/datasets/{dataset}"
  };

  // Required.
  // The dataset metadata that is specific to the problem type.
  oneof dataset_metadata {
    // Metadata for a dataset used for translation.
    TranslationDatasetMetadata translation_dataset_metadata = 23;

    // Metadata for a dataset used for image classification.
    ImageClassificationDatasetMetadata image_classification_dataset_metadata = 24;

    // Metadata for a dataset used for text classification.
    TextClassificationDatasetMetadata text_classification_dataset_metadata = 25;

    // Metadata for a dataset used for image object detection.
    ImageObjectDetectionDatasetMetadata image_object_detection_dataset_metadata = 26;

    // Metadata for a dataset used for text extraction.
    TextExtractionDatasetMetadata text_extraction_dataset_metadata = 28;

    // Metadata for a dataset used for text sentiment.
    TextSentimentDatasetMetadata text_sentiment_dataset_metadata = 30;
  }

  // Output only. The resource name of the dataset.
  // Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
  string name = 1;

  // Required. The name of the dataset to show in the interface. The name can be
  // up to 32 characters long and can consist only of ASCII Latin letters A-Z
  // and a-z, underscores
  // (_), and ASCII digits 0-9.
  string display_name = 2;

  // User-provided description of the dataset. The description can be up to
  // 25000 characters long.
  string description = 3;

  // Output only. The number of examples in the dataset.
  int32 example_count = 21;

  // Output only. Timestamp when this dataset was created.
  google.protobuf.Timestamp create_time = 14;

  // Used to perform consistent read-modify-write updates. If not set, a blind
  // "overwrite" update happens.
  string etag = 17;

  // Optional. The labels with user-defined metadata to organize your dataset.
  //
  // Label keys and values can be no longer than 64 characters
  // (Unicode codepoints), can only contain lowercase letters, numeric
  // characters, underscores and dashes. International characters are allowed.
  // Label values are optional. Label keys must start with a letter.
  //
  // See https://goo.gl/xmQnxf for more information on and examples of labels.
  map labels = 39;
}