Image-classification-lst-format-highlevel.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/aws_sagemaker_studio/sagemaker_algorithms/imageclassification_caltech/Image-classification-lst-format-highlevel.ipynb

Error:

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Exception encountered at "In [13]":
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ClientError Traceback (most recent call last)
in
----> 1 ic.fit(inputs=data_channels, logs=True)

/usr/local/lib/python3.7/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
667

[...]

ClientError: An error occurred (ValidationException) when calling the CreateTrainingJob operation: No S3 objects found under S3 URL "s3://sagemaker-us-west-2-521695447989/ic-lstformat/train/" given in input data source. Please ensure that the bucket exists in the selected region (us-west-2), that objects exist under that S3 prefix, and that the role "arn:aws:iam::521695447989:role/ProdBuildSystemStack-ReleaseBuildRoleFB326D49-QK8LUA2UI1IC" has "s3:ListBucket" permissions on bucket "sagemaker-us-west-2-521695447989".

Start with the linked Image-classification-lst-format-highlevel.ipynb, focusing on cell In [13] and the data_channels input passed to ic.fit. Check the referenced S3 prefix and the notebook's data setup, then rerun the notebook or CI; done means training starts without the reported No S3 objects found validation error.

Written by the indexing model from the issue text.