mlpractical_university_edinburgh / concat_train_valid.py
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import numpy as np
train_dataset = np.load('msd-10-genre-train.npz')
valid_dataset = np.load('msd-10-genre-valid.npz')
assert np.all( train_dataset['label_map'] == valid_dataset['label_map'] )
np.savez(
'msd-10-genre-train_valid.npz',
inputs = np.concatenate((train_dataset['inputs'], valid_dataset['inputs'])),
targets = np.concatenate((train_dataset['targets'], valid_dataset['targets'])),
label_map = train_dataset['label_map']
)