Google Native

Pulumi Official
Package maintained by Pulumi
v0.22.0 published on Friday, Jul 29, 2022 by Pulumi

getDataset

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
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
https://github.com/pulumi/pulumi-google-native
License
Apache-2.0