// Copyright 2019 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.v1beta1; import "google/cloud/automl/v1beta1/image.proto"; import "google/cloud/automl/v1beta1/tables.proto"; import "google/cloud/automl/v1beta1/text.proto"; import "google/cloud/automl/v1beta1/translation.proto"; import "google/cloud/automl/v1beta1/video.proto"; import "google/protobuf/timestamp.proto"; import "google/api/annotations.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; option ruby_package = "Google::Cloud::AutoML::V1beta1"; // A workspace for solving a single, particular machine learning (ML) problem. // A workspace contains examples that may be annotated. message 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 video classification. VideoClassificationDatasetMetadata video_classification_dataset_metadata = 31; // Metadata for a dataset used for video object tracking. VideoObjectTrackingDatasetMetadata video_object_tracking_dataset_metadata = 29; // 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; // Metadata for a dataset used for Tables. TablesDatasetMetadata tables_dataset_metadata = 33; } // 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; }