@Conchylicultor : do we need to just change the error message in this ticket? could you guide me a little bit so that I could work on it.

Is there a way for users to e.g. make a copy of the files into our own Google Drive for a dataset, manually download them to the correct location, and proceed from there? Or any other manual workaround using the publicly-available celeba data?

For drive links downloads can be done by extracting the id and creating the download link as -
https://drive.google.com/uc?id=0B7EVK8r0v71pZjFTYXZWM3FlRnM

For now celeb_a download link shows -

Sorry, you can't view or download this file at this time.

Too many users have viewed or downloaded this file recently. Please try accessing the file again later. If the file you are trying to access is particularly large or is shared with many people, it may take up to 24 hours to be able to view or download the file. If you still can't access a file after 24 hours, contact your domain administrator.

celeb_a tfrecord files:
https://drive.google.com/drive/folders/1MKQ9sRwr5OOFk3OBzLz91SsgF3MBqvtP?usp=sharing
OR
you can follow " Create tfrecord files for 'test', 'train', 'validation' " on cp13_Parallelizing NN Training w TF_printoptions(precision)_squeeze_shuffle_batch_repeat_image process_map_tfrecords (https://blog.csdn.net/Linli522362242/article/details/112386820)

celeb_a tfrecord files:
https://drive.google.com/drive/folders/1MKQ9sRwr5OOFk3OBzLz91SsgF3MBqvtP?usp=sharing
OR
you can follow " Create tfrecord files for 'test', 'train', 'validation' " on cp13_Parallelizing NN Training w TF_printoptions(precision)_squeeze_shuffle_batch_repeat_image process_map_tfrecords (https://blog.csdn.net/Linli522362242/article/details/112386820)

Is there an easier way to install the celeb_a dataset? I am trying the "download" manually method, but it is not helping at all.

Has anyone tried executing the code cell twice?
I'm getting the same error for the "paws_wiki" dataset, using tfds.load('paws_wiki'). But apart from the error, the data does gets downloaded and as soon as I execute the cell again it works and imports the data to my environment.

Looking for a workaround for this issue, I ended up finding a routine in the library that checks for the files on your own machine before attempting to download them. It was ~/tensorflow_datasets/downloads/manual (the download_dir in download_and_prepare). You can manually download the file from Drive and place it in one of the directories it checks. Once you log in, high traffic is no longer an issue.

The database I intended to use was the CaltechBirds2010 and I found the Drive link here.

I get this below error while I was trying to use deep_weeds dataset with this code " data_train, info = tfds.load("deep_weeds", with_info=True, split='train[:60%]',as_supervised=True) "

NonMatchingChecksumError Traceback (most recent call last)
in <cell line: 1>()
----> 1 data_train, info = tfds.load("deep_weeds", with_info=True, split='train[:60%]',as_supervised=True)
2 data_valid = tfds.load("deep_weeds",split='train[60%:80%]',as_supervised=True)
3 data_test = tfds.load("deep_weeds", split='train[80%:]',as_supervised=True)
4 # file_path ="/content/images/"
5 # dataset = tfds.load(name='deep_weeds', data_dir=file_path)

20 frames
/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/download/download_manager.py in _validate_checksums(url, path, computed_url_info, expected_url_info, force_checksums_validation)
769 'https://www.tensorflow.org/datasets/overview#fixing_nonmatchingchecksumerror'
770 )
--> 771 raise NonMatchingChecksumError(msg)
772
773

NonMatchingChecksumError: Artifact https://drive.google.com/uc?export=download&id=1xnK3B6K6KekDI55vwJ0vnc2IGoDga9cj, downloaded to /root/tensorflow_datasets/downloads/ucexport_download_id_1xnK3B6K6KekDI55vwJ0vnc2ITDlCjLc2rcwnx4HX2m4DkEyLfA722UJqaLRkfNhB6ec.tmp.68dd982dd0fd4809b12f3ef885ebe32f/download, has wrong checksum:

• Expected: UrlInfo(size=468.75 MiB, checksum='0961f63c01b997bfab1559ad09e99c0e8130617fd96a8b92fdc09940e01b0ce8', filename='images.zip')
• Got: UrlInfo(size=2.37 KiB, checksum='45872f70daf5443d63f16ae988757788b8b585f678bf94987c6fe0487086aec5', filename='download')
  To debug, see: https://www.tensorflow.org/datasets/overview#fixing_nonmatchingchecksumerror