##### Curate MNIST [image: .md][image]

 # pip install lamindb torch torchvision lightning
 !lamin init --storage ./lamin-mlops

 import lamindb as ln
 from pathlib import Path

 ln.track()

Download the MNIST dataset and save it in LaminDB to keep track of the
training data that is associated with our model.

 from torchvision.datasets import MNIST
 from torchvision.transforms import ToTensor

 dataset = MNIST(Path.cwd() / "download_mnist", download=True, transform=ToTensor())

 # no need for the zipped files
 !rm -r download_mnist/MNIST/raw/*.gz
 !ls -r download_mnist/MNIST/raw

 training_data_artifact = ln.Artifact(
 "download_mnist/",
 key="testdata/mnist",
 kind="dataset",
 description="Complete MNIST dataset directory containing training and test data",
 ).save()
 training_data_artifact

 ln.finish()