After loading the dataset, randomly shuffle the dataset to split the dataset to

train$/$dev$/$test sets.

$$ Use the $70\%$ of data for the train set, $15\%$ for the dev set, and $15\%$ for the

test set

$$ You need to make sure that the labels and images are still matching after

shuffling the data.

$$ You may want to use the random shuffle function provided by Numpy.