Openapi.Yml Dataset Input Data Config Structure

{
  "$schema": "https://json-structure.org/meta/core/v0/#",
  "$id": "https://raw.githubusercontent.com/api-evangelist/amazon-comprehend/refs/heads/main/json-structure/openapi.yml-dataset-input-data-config-structure.json",
  "name": "DatasetInputDataConfig",
  "description": "Specifies the format and location of the input data for the dataset.",
  "type": "object",
  "properties": {
    "AugmentedManifests": {
      "allOf": [
        {
          "$ref": "#/components/schemas/DatasetAugmentedManifestsList"
        },
        {
          "description": "A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth. "
        }
      ]
    },
    "DataFormat": {
      "allOf": [
        {
          "$ref": "#/components/schemas/DatasetDataFormat"
        },
        {
          "description": "<p> <code>COMPREHEND_CSV</code>: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.</p> <p> <code>AUGMENTED_MANIFEST</code>: The data format </p>"
        }
      ]
    },
    "DocumentClassifierInputDataConfig": {
      "allOf": [
        {
          "$ref": "#/components/schemas/DatasetDocumentClassifierInputDataConfig"
        },
        {
          "description": "<p>The input properties for training a document classifier model. </p> <p>For more information on how the input file is formatted, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/prep-classifier-data.html\">Preparing training data</a> in the Comprehend Developer Guide. </p>"
        }
      ]
    },
    "EntityRecognizerInputDataConfig": {
      "allOf": [
        {
          "$ref": "#/components/schemas/DatasetEntityRecognizerInputDataConfig"
        },
        {
          "description": "The input properties for training an entity recognizer model."
        }
      ]
    }
  }
}