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    REST Resource: projects.locations.datasets

    Resource: Dataset

    A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.

    JSON representation 
     { 
 "name" : 
 string 
 , 
 "displayName" : 
 string 
 , 
 "exampleCount" : 
 number 
 , 
 "createTime" : 
 string 
 , 
 // Union field dataset_metadata 
can be only one of the following: 
 "translationDatasetMetadata" : 
 { 
 object(  TranslationDatasetMetadata 
 
) 
 } 
 , 
 "imageClassificationDatasetMetadata" : 
 { 
 object(  ImageClassificationDatasetMetadata 
 
) 
 } 
 , 
 "textClassificationDatasetMetadata" : 
 { 
 object(  TextClassificationDatasetMetadata 
 
) 
 } 
 // End of list of possible types for union field dataset_metadata 
. 
 }
    Fields
    name

    string

    Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{locationId}/datasets/{datasetId}

    displayName

    string

    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.

    exampleCount

    number

    Output only. The number of examples in the dataset.

    createTime

    string ( Timestamp format)

    Output only. Timestamp when this dataset was created.

    A timestamp in RFC3339 UTC "Zulu" format, accurate to nanoseconds. Example: "2014-10-02T15:01:23.045123456Z" .

    Union field dataset_metadata . Required. The dataset metadata that is specific to the problem type. dataset_metadata can be only one of the following:
    translationDatasetMetadata

    object( TranslationDatasetMetadata )

    Metadata for a dataset used for translation.

    imageClassificationDatasetMetadata

    object( ImageClassificationDatasetMetadata )

    Metadata for a dataset used for image classification.

    textClassificationDatasetMetadata

    object( TextClassificationDatasetMetadata )

    Metadata for a dataset used for text classification.

    TranslationDatasetMetadata

    Dataset metadata that is specific to translation.

    JSON representation 
     { 
 "sourceLanguageCode" : 
 string 
 , 
 "targetLanguageCode" : 
 string 
 }
    Fields
    sourceLanguageCode

    string

    Required. The BCP-47 language code of the source language.
    targetLanguageCode

    string

    Required. The BCP-47 language code of the target language.

    ImageClassificationDatasetMetadata

    Dataset metadata that is specific to image classification.

    JSON representation 
     { 
 "classificationType" : 
 enum(  ClassificationType 
 
) 
 }
    Fields
    classificationType

    enum( ClassificationType )

    Required. Type of the classification problem.

    ClassificationType

    Type of the classification problem.

    Enums
    CLASSIFICATION_TYPE_UNSPECIFIED Should not be used, an un-set enum has this value by default.
    MULTICLASS At most one label is allowed per example.
    MULTILABEL Multiple labels are allowed for one example.

    TextClassificationDatasetMetadata

    Dataset metadata for classification.

    JSON representation 
     { 
 "classificationType" : 
 enum(  ClassificationType 
 
) 
 }
    Fields
    classificationType

    enum( ClassificationType )

    Required. Type of the classification problem.

    Methods

    create

    		Creates a dataset.

    delete

    		Deletes a dataset and all of its contents.

    get

    		Gets a dataset.

    getIamPolicy

    		Gets the access control policy for a resource.

    importData

    		Imports data into a dataset.

    list

    		Lists datasets in a project.

    setIamPolicy

    		Sets the access control policy on the specified resource.
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