Create Dataset
comprehend_create_dataset | R Documentation |
Creates a dataset to upload training or test data for a model associated with a flywheel¶
Description¶
Creates a dataset to upload training or test data for a model associated with a flywheel. For more information about datasets, see Flywheel overview in the Amazon Comprehend Developer Guide.
Usage¶
comprehend_create_dataset(FlywheelArn, DatasetName, DatasetType,
Description, InputDataConfig, ClientRequestToken, Tags)
Arguments¶
FlywheelArn
[required] The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.
DatasetName
[required] Name of the dataset.
DatasetType
The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.
Description
Description of the dataset.
InputDataConfig
[required] 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.
ClientRequestToken
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
Tags
Tags for the dataset.
Value¶
A list with the following syntax:
Request syntax¶
svc$create_dataset(
FlywheelArn = "string",
DatasetName = "string",
DatasetType = "TRAIN"|"TEST",
Description = "string",
InputDataConfig = list(
AugmentedManifests = list(
list(
AttributeNames = list(
"string"
),
S3Uri = "string",
AnnotationDataS3Uri = "string",
SourceDocumentsS3Uri = "string",
DocumentType = "PLAIN_TEXT_DOCUMENT"|"SEMI_STRUCTURED_DOCUMENT"
)
),
DataFormat = "COMPREHEND_CSV"|"AUGMENTED_MANIFEST",
DocumentClassifierInputDataConfig = list(
S3Uri = "string",
LabelDelimiter = "string"
),
EntityRecognizerInputDataConfig = list(
Annotations = list(
S3Uri = "string"
),
Documents = list(
S3Uri = "string",
InputFormat = "ONE_DOC_PER_FILE"|"ONE_DOC_PER_LINE"
),
EntityList = list(
S3Uri = "string"
)
)
),
ClientRequestToken = "string",
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)