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
google-native.translate/v3.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
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 dictionaryThe following arguments are supported:
- dataset_
id str - location str
 - project str
 
getDataset Result
The following output properties are available:
- Create
Time string - Timestamp when this dataset was created.
 - Display
Name 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.
 - Example
Count 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} - Source
Language stringCode  - The BCP-47 language code of the source language.
 - Target
Language stringCode  - The BCP-47 language code of the target language.
 - Test
Example intCount  - Number of test examples (sentence pairs).
 - Train
Example intCount  - Number of training examples (sentence pairs).
 - Update
Time string - Timestamp when this dataset was last updated.
 - Validate
Example intCount  - Number of validation examples (sentence pairs).
 
- Create
Time string - Timestamp when this dataset was created.
 - Display
Name 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.
 - Example
Count 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} - Source
Language stringCode  - The BCP-47 language code of the source language.
 - Target
Language stringCode  - The BCP-47 language code of the target language.
 - Test
Example intCount  - Number of test examples (sentence pairs).
 - Train
Example intCount  - Number of training examples (sentence pairs).
 - Update
Time string - Timestamp when this dataset was last updated.
 - Validate
Example intCount  - Number of validation examples (sentence pairs).
 
- create
Time String - Timestamp when this dataset was created.
 - display
Name 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.
 - example
Count 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} - source
Language StringCode  - The BCP-47 language code of the source language.
 - target
Language StringCode  - The BCP-47 language code of the target language.
 - test
Example IntegerCount  - Number of test examples (sentence pairs).
 - train
Example IntegerCount  - Number of training examples (sentence pairs).
 - update
Time String - Timestamp when this dataset was last updated.
 - validate
Example IntegerCount  - Number of validation examples (sentence pairs).
 
- create
Time string - Timestamp when this dataset was created.
 - display
Name 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.
 - example
Count 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} - source
Language stringCode  - The BCP-47 language code of the source language.
 - target
Language stringCode  - The BCP-47 language code of the target language.
 - test
Example numberCount  - Number of test examples (sentence pairs).
 - train
Example numberCount  - Number of training examples (sentence pairs).
 - update
Time string - Timestamp when this dataset was last updated.
 - validate
Example numberCount  - 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_ strcode  - The BCP-47 language code of the source language.
 - target_
language_ strcode  - The BCP-47 language code of the target language.
 - test_
example_ intcount  - Number of test examples (sentence pairs).
 - train_
example_ intcount  - Number of training examples (sentence pairs).
 - update_
time str - Timestamp when this dataset was last updated.
 - validate_
example_ intcount  - Number of validation examples (sentence pairs).
 
- create
Time String - Timestamp when this dataset was created.
 - display
Name 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.
 - example
Count 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} - source
Language StringCode  - The BCP-47 language code of the source language.
 - target
Language StringCode  - The BCP-47 language code of the target language.
 - test
Example NumberCount  - Number of test examples (sentence pairs).
 - train
Example NumberCount  - Number of training examples (sentence pairs).
 - update
Time String - Timestamp when this dataset was last updated.
 - validate
Example NumberCount  - Number of validation examples (sentence pairs).
 
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