Google Cloud Native v0.30.0, Apr 14 23

google-native.datalabeling/v1beta1.getDataset

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Gets dataset by resource name.

Using getDataset

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getDataset(args: GetDatasetArgs, opts?: InvokeOptions): Promise<GetDatasetResult>
function getDatasetOutput(args: GetDatasetOutputArgs, opts?: InvokeOptions): Output<GetDatasetResult>

def get_dataset(dataset_id: Optional[str] = None,
                project: Optional[str] = None,
                opts: Optional[InvokeOptions] = None) -> GetDatasetResult
def get_dataset_output(dataset_id: Optional[pulumi.Input[str]] = None,
                project: Optional[pulumi.Input[str]] = None,
                opts: Optional[InvokeOptions] = None) -> Output[GetDatasetResult]

func LookupDataset(ctx *Context, args *LookupDatasetArgs, opts ...InvokeOption) (*LookupDatasetResult, error)
func LookupDatasetOutput(ctx *Context, args *LookupDatasetOutputArgs, opts ...InvokeOption) LookupDatasetResultOutput

> Note: This function is named LookupDataset in the Go SDK.

public static class GetDataset 
{
    public static Task<GetDatasetResult> InvokeAsync(GetDatasetArgs args, InvokeOptions? opts = null)
    public static Output<GetDatasetResult> Invoke(GetDatasetInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetDatasetResult> getDataset(GetDatasetArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: google-native:datalabeling/v1beta1:getDataset
  arguments:
    # arguments dictionary

The following arguments are supported:

DatasetId string
Project string

DatasetId string
Project string

datasetId String
project String

datasetId string
project string

dataset_id str
project str

datasetId String
project String

getDataset Result

The following output properties are available:

BlockingResources List<string>: The names of any related resources that are blocking changes to the dataset.
CreateTime string: Time the dataset is created.
DataItemCount string: The number of data items in the dataset.
Description string: Optional. User-provided description of the annotation specification set. The description can be up to 10000 characters long.
DisplayName string: The display name of the dataset. Maximum of 64 characters.
InputConfigs List<Pulumi.GoogleNative.DataLabeling.V1Beta1.Outputs.GoogleCloudDatalabelingV1beta1InputConfigResponse>: This is populated with the original input configs where ImportData is called. It is available only after the clients import data to this dataset.
LastMigrateTime string: Last time that the Dataset is migrated to AI Platform V2. If any of the AnnotatedDataset is migrated, the last_migration_time in Dataset is also updated.
Name string: Dataset resource name, format is: projects/{project_id}/datasets/{dataset_id}

BlockingResources []string: The names of any related resources that are blocking changes to the dataset.
CreateTime string: Time the dataset is created.
DataItemCount string: The number of data items in the dataset.
Description string: Optional. User-provided description of the annotation specification set. The description can be up to 10000 characters long.
DisplayName string: The display name of the dataset. Maximum of 64 characters.
InputConfigs []GoogleCloudDatalabelingV1beta1InputConfigResponse: This is populated with the original input configs where ImportData is called. It is available only after the clients import data to this dataset.
LastMigrateTime string: Last time that the Dataset is migrated to AI Platform V2. If any of the AnnotatedDataset is migrated, the last_migration_time in Dataset is also updated.
Name string: Dataset resource name, format is: projects/{project_id}/datasets/{dataset_id}

blockingResources List<String>: The names of any related resources that are blocking changes to the dataset.
createTime String: Time the dataset is created.
dataItemCount String: The number of data items in the dataset.
description String: Optional. User-provided description of the annotation specification set. The description can be up to 10000 characters long.
displayName String: The display name of the dataset. Maximum of 64 characters.
inputConfigs List<GoogleCloudDatalabelingV1beta1InputConfigResponse>: This is populated with the original input configs where ImportData is called. It is available only after the clients import data to this dataset.
lastMigrateTime String: Last time that the Dataset is migrated to AI Platform V2. If any of the AnnotatedDataset is migrated, the last_migration_time in Dataset is also updated.
name String: Dataset resource name, format is: projects/{project_id}/datasets/{dataset_id}

blockingResources string[]: The names of any related resources that are blocking changes to the dataset.
createTime string: Time the dataset is created.
dataItemCount string: The number of data items in the dataset.
description string: Optional. User-provided description of the annotation specification set. The description can be up to 10000 characters long.
displayName string: The display name of the dataset. Maximum of 64 characters.
inputConfigs GoogleCloudDatalabelingV1beta1InputConfigResponse[]: This is populated with the original input configs where ImportData is called. It is available only after the clients import data to this dataset.
lastMigrateTime string: Last time that the Dataset is migrated to AI Platform V2. If any of the AnnotatedDataset is migrated, the last_migration_time in Dataset is also updated.
name string: Dataset resource name, format is: projects/{project_id}/datasets/{dataset_id}

blocking_resources Sequence[str]: The names of any related resources that are blocking changes to the dataset.
create_time str: Time the dataset is created.
data_item_count str: The number of data items in the dataset.
description str: Optional. User-provided description of the annotation specification set. The description can be up to 10000 characters long.
display_name str: The display name of the dataset. Maximum of 64 characters.
input_configs Sequence[GoogleCloudDatalabelingV1beta1InputConfigResponse]: This is populated with the original input configs where ImportData is called. It is available only after the clients import data to this dataset.
last_migrate_time str: Last time that the Dataset is migrated to AI Platform V2. If any of the AnnotatedDataset is migrated, the last_migration_time in Dataset is also updated.
name str: Dataset resource name, format is: projects/{project_id}/datasets/{dataset_id}

blockingResources List<String>: The names of any related resources that are blocking changes to the dataset.
createTime String: Time the dataset is created.
dataItemCount String: The number of data items in the dataset.
description String: Optional. User-provided description of the annotation specification set. The description can be up to 10000 characters long.
displayName String: The display name of the dataset. Maximum of 64 characters.
inputConfigs List<Property Map>: This is populated with the original input configs where ImportData is called. It is available only after the clients import data to this dataset.
lastMigrateTime String: Last time that the Dataset is migrated to AI Platform V2. If any of the AnnotatedDataset is migrated, the last_migration_time in Dataset is also updated.
name String: Dataset resource name, format is: projects/{project_id}/datasets/{dataset_id}

Supporting Types

GoogleCloudDatalabelingV1beta1BigQuerySourceResponse

InputUri string: BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob. If you specify the URI of a table that already exists, it must have the correct schema. Provide the table URI in the following format: "bq://{your_project_id}/ {your_dataset_name}/{your_table_name}" Learn more.

InputUri string: BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob. If you specify the URI of a table that already exists, it must have the correct schema. Provide the table URI in the following format: "bq://{your_project_id}/ {your_dataset_name}/{your_table_name}" Learn more.

inputUri String: BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob. If you specify the URI of a table that already exists, it must have the correct schema. Provide the table URI in the following format: "bq://{your_project_id}/ {your_dataset_name}/{your_table_name}" Learn more.

inputUri string: BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob. If you specify the URI of a table that already exists, it must have the correct schema. Provide the table URI in the following format: "bq://{your_project_id}/ {your_dataset_name}/{your_table_name}" Learn more.

input_uri str: BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob. If you specify the URI of a table that already exists, it must have the correct schema. Provide the table URI in the following format: "bq://{your_project_id}/ {your_dataset_name}/{your_table_name}" Learn more.

inputUri String: BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob. If you specify the URI of a table that already exists, it must have the correct schema. Provide the table URI in the following format: "bq://{your_project_id}/ {your_dataset_name}/{your_table_name}" Learn more.

GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse

IsMultiLabel bool: Whether the classification task is multi-label or not.

IsMultiLabel bool: Whether the classification task is multi-label or not.

isMultiLabel Boolean: Whether the classification task is multi-label or not.

isMultiLabel boolean: Whether the classification task is multi-label or not.

is_multi_label bool: Whether the classification task is multi-label or not.

isMultiLabel Boolean: Whether the classification task is multi-label or not.

GoogleCloudDatalabelingV1beta1GcsSourceResponse

InputUri string: The input URI of source file. This must be a Cloud Storage path (gs://...).
MimeType string: The format of the source file. Only "text/csv" is supported.

InputUri string: The input URI of source file. This must be a Cloud Storage path (gs://...).
MimeType string: The format of the source file. Only "text/csv" is supported.

inputUri String: The input URI of source file. This must be a Cloud Storage path (gs://...).
mimeType String: The format of the source file. Only "text/csv" is supported.

inputUri string: The input URI of source file. This must be a Cloud Storage path (gs://...).
mimeType string: The format of the source file. Only "text/csv" is supported.

input_uri str: The input URI of source file. This must be a Cloud Storage path (gs://...).
mime_type str: The format of the source file. Only "text/csv" is supported.

inputUri String: The input URI of source file. This must be a Cloud Storage path (gs://...).
mimeType String: The format of the source file. Only "text/csv" is supported.

GoogleCloudDatalabelingV1beta1InputConfigResponse

AnnotationType string: Optional. The type of annotation to be performed on this data. You must specify this field if you are using this InputConfig in an EvaluationJob.
BigquerySource Pulumi.GoogleNative.DataLabeling.V1Beta1.Inputs.GoogleCloudDatalabelingV1beta1BigQuerySourceResponse: Source located in BigQuery. You must specify this field if you are using this InputConfig in an EvaluationJob.
ClassificationMetadata Pulumi.GoogleNative.DataLabeling.V1Beta1.Inputs.GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse: Optional. Metadata about annotations for the input. You must specify this field if you are using this InputConfig in an EvaluationJob for a model version that performs classification.
DataType string: Data type must be specifed when user tries to import data.
GcsSource Pulumi.GoogleNative.DataLabeling.V1Beta1.Inputs.GoogleCloudDatalabelingV1beta1GcsSourceResponse: Source located in Cloud Storage.
TextMetadata Pulumi.GoogleNative.DataLabeling.V1Beta1.Inputs.GoogleCloudDatalabelingV1beta1TextMetadataResponse: Required for text import, as language code must be specified.

AnnotationType string: Optional. The type of annotation to be performed on this data. You must specify this field if you are using this InputConfig in an EvaluationJob.
BigquerySource GoogleCloudDatalabelingV1beta1BigQuerySourceResponse: Source located in BigQuery. You must specify this field if you are using this InputConfig in an EvaluationJob.
ClassificationMetadata GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse: Optional. Metadata about annotations for the input. You must specify this field if you are using this InputConfig in an EvaluationJob for a model version that performs classification.
DataType string: Data type must be specifed when user tries to import data.
GcsSource GoogleCloudDatalabelingV1beta1GcsSourceResponse: Source located in Cloud Storage.
TextMetadata GoogleCloudDatalabelingV1beta1TextMetadataResponse: Required for text import, as language code must be specified.

annotationType String: Optional. The type of annotation to be performed on this data. You must specify this field if you are using this InputConfig in an EvaluationJob.
bigquerySource GoogleCloudDatalabelingV1beta1BigQuerySourceResponse: Source located in BigQuery. You must specify this field if you are using this InputConfig in an EvaluationJob.
classificationMetadata GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse: Optional. Metadata about annotations for the input. You must specify this field if you are using this InputConfig in an EvaluationJob for a model version that performs classification.
dataType String: Data type must be specifed when user tries to import data.
gcsSource GoogleCloudDatalabelingV1beta1GcsSourceResponse: Source located in Cloud Storage.
textMetadata GoogleCloudDatalabelingV1beta1TextMetadataResponse: Required for text import, as language code must be specified.

annotationType string: Optional. The type of annotation to be performed on this data. You must specify this field if you are using this InputConfig in an EvaluationJob.
bigquerySource GoogleCloudDatalabelingV1beta1BigQuerySourceResponse: Source located in BigQuery. You must specify this field if you are using this InputConfig in an EvaluationJob.
classificationMetadata GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse: Optional. Metadata about annotations for the input. You must specify this field if you are using this InputConfig in an EvaluationJob for a model version that performs classification.
dataType string: Data type must be specifed when user tries to import data.
gcsSource GoogleCloudDatalabelingV1beta1GcsSourceResponse: Source located in Cloud Storage.
textMetadata GoogleCloudDatalabelingV1beta1TextMetadataResponse: Required for text import, as language code must be specified.

annotation_type str: Optional. The type of annotation to be performed on this data. You must specify this field if you are using this InputConfig in an EvaluationJob.
bigquery_source GoogleCloudDatalabelingV1beta1BigQuerySourceResponse: Source located in BigQuery. You must specify this field if you are using this InputConfig in an EvaluationJob.
classification_metadata GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse: Optional. Metadata about annotations for the input. You must specify this field if you are using this InputConfig in an EvaluationJob for a model version that performs classification.
data_type str: Data type must be specifed when user tries to import data.
gcs_source GoogleCloudDatalabelingV1beta1GcsSourceResponse: Source located in Cloud Storage.
text_metadata GoogleCloudDatalabelingV1beta1TextMetadataResponse: Required for text import, as language code must be specified.

annotationType String: Optional. The type of annotation to be performed on this data. You must specify this field if you are using this InputConfig in an EvaluationJob.
bigquerySource Property Map: Source located in BigQuery. You must specify this field if you are using this InputConfig in an EvaluationJob.
classificationMetadata Property Map: Optional. Metadata about annotations for the input. You must specify this field if you are using this InputConfig in an EvaluationJob for a model version that performs classification.
dataType String: Data type must be specifed when user tries to import data.
gcsSource Property Map: Source located in Cloud Storage.
textMetadata Property Map: Required for text import, as language code must be specified.

GoogleCloudDatalabelingV1beta1TextMetadataResponse

LanguageCode string: The language of this text, as a BCP-47. Default value is en-US.

LanguageCode string: The language of this text, as a BCP-47. Default value is en-US.

languageCode String: The language of this text, as a BCP-47. Default value is en-US.

languageCode string: The language of this text, as a BCP-47. Default value is en-US.

language_code str: The language of this text, as a BCP-47. Default value is en-US.

languageCode String: The language of this text, as a BCP-47. Default value is en-US.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0