Checksum error for oxfordflowers 102

Occurrence:
Occurs when trying to load data from oxfordflowers102

Environment information:
• TensorFlow version: 2.0.0
• tf.keras version: 2.2.4-tf

Reproduction instructions:

# Download data to default local directory "~/tensorflow_datasets"
#!python -m tensorflow_datasets.scripts.download_and_prepare --register_checksums=True --datasets=oxford_flowers102

# TODO: Load the dataset with TensorFlow Datasets.
dataset, dataset_info = tfds.load('oxford_flowers102', as_supervised = True, with_info = True)

# TODO: Create a training set, a validation set and a test set.
training_set, validation_set, test_set = dataset['train'],dataset['validation'], `dataset['test']

Error Log:
NonMatchingChecksumError: Artifact https://www.robots.ox.ac.uk/~vgg/data/flowers/102/102flowers.tgz, downloaded to /root/tensorflow_datasets/downloads/robots.ox.ac.uk_vgg_flowers_102_102flowersoWedSp98maBn1wypsDib6T-q2NVbO40fwvTflmPmQpY.tgz.tmp.ca5440dd14de44cfbc4cdbc7cc96c37f/102flowers.tgz, has wrong checksum.

Start by rerunning the TensorFlow Datasets download-and-prepare command for oxford_flowers102 and then the tfds.load call shown in the report. Confirm the source checksum and dataset download behavior, and consider the issue done when the dataset loads successfully with train, validation, and test splits.