async def sample_get_conversation_dataset():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GetConversationDatasetRequest(name="name_value", )

    # Make the request
    response = await client.get_conversation_dataset(request=request)

    # Handle the response
    print(response)
async def sample_list_conversation_datasets():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListConversationDatasetsRequest(
        parent="parent_value", )

    # Make the request
    page_result = client.list_conversation_datasets(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
async def sample_delete_conversation_dataset():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.DeleteConversationDatasetRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_conversation_dataset(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)
async def sample_import_conversation_data():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsAsyncClient()

    # Initialize request argument(s)
    input_config = dialogflow_v2.InputConfig()
    input_config.gcs_source.uris = ['uris_value_1', 'uris_value_2']

    request = dialogflow_v2.ImportConversationDataRequest(
        name="name_value",
        input_config=input_config,
    )

    # Make the request
    operation = client.import_conversation_data(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)