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LabelingJobS3DataSource

Source code in docs_src/capo_sagemaker/types/labeling_job_s3_data_source.py
class LabelingJobS3DataSource(TypedDict, closed=True):
    manifest_s3_uri: NotRequired["capo_sagemaker.types.s3_uri.S3Uri"]
    """<p>The Amazon S3 location of the manifest file that describes the input data objects. </p> <p>The input manifest file referenced in <code>ManifestS3Uri</code> must contain one of the following keys: <code>source-ref</code> or <code>source</code>. The value of the keys are interpreted as follows:</p> <ul> <li> <p> <code>source-ref</code>: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.</p> </li> <li> <p> <code>source</code>: The source of the object is the value. Use this value when the object is a text value.</p> </li> </ul> <p>If you are a new user of Ground Truth, it is recommended you review <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-input-data-input-manifest.html">Use an Input Manifest File </a> in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.</p>"""

manifest_s3_uri instance-attribute

manifest_s3_uri: NotRequired[S3Uri]

The Amazon S3 location of the manifest file that describes the input data objects.

The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:

  • source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.

  • source: The source of the object is the value. Use this value when the object is a text value.

If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.