Google Cloud Native v0.32.0, Nov 29 23

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.datalabeling/v1beta1.getDataset

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

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

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.datalabeling/v1beta1.getDataset

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Using getDataset

getDataset Result

Supporting Types

GoogleCloudDatalabelingV1beta1BigQuerySourceResponse

GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse

GoogleCloudDatalabelingV1beta1GcsSourceResponse

GoogleCloudDatalabelingV1beta1InputConfigResponse

GoogleCloudDatalabelingV1beta1TextMetadataResponse

Package Details

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