Data files needed to run reactive Pluto notebook to train image classifier

Two CSV files with 10,000 random training and test samples each of MNIST data (28 x 28 images of handwritten digits). These files are required to reproduce the results of Experiment 3 in the article "Constructing structured tensor priors for Bayesian inverse problems" via a reactive Pluto notebook. In this experiment a classifier is learned via Bayes' Theorem for images of 10 handwritten digits (0 to 9). The notebook illustrates the use of different structured tensor priors and compares the performance of the resulting classifier with the standard Tikhonov prior on new test data.