Google Cloud Native v0.28.0, Feb 2 23

google-native.translate/v3.getDataset

Gets a Dataset.

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,
                location: Optional[str] = None,
                project: Optional[str] = None,
                opts: Optional[InvokeOptions] = None) -> GetDatasetResult
def get_dataset_output(dataset_id: Optional[pulumi.Input[str]] = None,
                location: 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:translate/v3:getDataset
  arguments:
    # arguments dictionary

The following arguments are supported:

DatasetId string
Location string
Project string

DatasetId string
Location string
Project string

datasetId String
location String
project String

datasetId string
location string
project string

dataset_id str
location str
project str

datasetId String
location String
project String

getDataset Result

The following output properties are available:

CreateTime string: Timestamp when this dataset was created.
DisplayName string: 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 int: The number of examples in the dataset.
Name string: The resource name of the dataset, in form of projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
SourceLanguageCode string: The BCP-47 language code of the source language.
TargetLanguageCode string: The BCP-47 language code of the target language.
TestExampleCount int: Number of test examples (sentence pairs).
TrainExampleCount int: Number of training examples (sentence pairs).
UpdateTime string: Timestamp when this dataset was last updated.
ValidateExampleCount int: Number of validation examples (sentence pairs).

CreateTime string: Timestamp when this dataset was created.
DisplayName string: 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 int: The number of examples in the dataset.
Name string: The resource name of the dataset, in form of projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
SourceLanguageCode string: The BCP-47 language code of the source language.
TargetLanguageCode string: The BCP-47 language code of the target language.
TestExampleCount int: Number of test examples (sentence pairs).
TrainExampleCount int: Number of training examples (sentence pairs).
UpdateTime string: Timestamp when this dataset was last updated.
ValidateExampleCount int: Number of validation examples (sentence pairs).

createTime String: Timestamp when this dataset was created.
displayName String: 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 Integer: The number of examples in the dataset.
name String: The resource name of the dataset, in form of projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
sourceLanguageCode String: The BCP-47 language code of the source language.
targetLanguageCode String: The BCP-47 language code of the target language.
testExampleCount Integer: Number of test examples (sentence pairs).
trainExampleCount Integer: Number of training examples (sentence pairs).
updateTime String: Timestamp when this dataset was last updated.
validateExampleCount Integer: Number of validation examples (sentence pairs).

createTime string: Timestamp when this dataset was created.
displayName string: 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: The number of examples in the dataset.
name string: The resource name of the dataset, in form of projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
sourceLanguageCode string: The BCP-47 language code of the source language.
targetLanguageCode string: The BCP-47 language code of the target language.
testExampleCount number: Number of test examples (sentence pairs).
trainExampleCount number: Number of training examples (sentence pairs).
updateTime string: Timestamp when this dataset was last updated.
validateExampleCount number: Number of validation examples (sentence pairs).

create_time str: Timestamp when this dataset was created.
display_name str: 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.
example_count int: The number of examples in the dataset.
name str: The resource name of the dataset, in form of projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
source_language_code str: The BCP-47 language code of the source language.
target_language_code str: The BCP-47 language code of the target language.
test_example_count int: Number of test examples (sentence pairs).
train_example_count int: Number of training examples (sentence pairs).
update_time str: Timestamp when this dataset was last updated.
validate_example_count int: Number of validation examples (sentence pairs).

createTime String: Timestamp when this dataset was created.
displayName String: 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: The number of examples in the dataset.
name String: The resource name of the dataset, in form of projects/{project-number-or-id}/locations/{location_id}/datasets/{dataset_id}
sourceLanguageCode String: The BCP-47 language code of the source language.
targetLanguageCode String: The BCP-47 language code of the target language.
testExampleCount Number: Number of test examples (sentence pairs).
trainExampleCount Number: Number of training examples (sentence pairs).
updateTime String: Timestamp when this dataset was last updated.
validateExampleCount Number: Number of validation examples (sentence pairs).

Package Details

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

google-native.translate/v3.getDataset

Using getDataset

getDataset Result

Package Details

Contents