CreateDatasetRequest ¶

class CreateDatasetRequest(TypedDict, closed=True):
    flywheel_arn: "capo_comprehend.types.comprehend_flywheel_arn.ComprehendFlywheelArn"
    """<p>The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.</p>"""
    dataset_name: "capo_comprehend.types.comprehend_arn_name.ComprehendArnName"
    """<p>Name of the dataset.</p>"""
    dataset_type: NotRequired["capo_comprehend.types.dataset_type.DatasetType"]
    """<p>The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.</p>"""
    description: NotRequired["capo_comprehend.types.description.Description"]
    """<p>Description of the dataset.</p>"""
    input_data_config: (
        "capo_comprehend.types.dataset_input_data_config.DatasetInputDataConfig"
    )
    """<p>Information about the input data configuration. The type of input data varies based on the format of the input and whether the data is for a classifier model or an entity recognition model.</p>"""
    client_request_token: NotRequired[
        "capo_comprehend.types.client_request_token_string.ClientRequestTokenString"
    ]
    """<p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>"""
    tags: NotRequired["capo_comprehend.types.tag_list.TagList"]
    """<p>Tags for the dataset.</p>"""