def gen_data(num_items):
features_array = np.arange(num_items * 3).reshape(num_items, -1)
labels_array = np.random.choice(10, size=num_items)
data = features_array, labels_array
index = np.arange(num_items)
# when your data fits into memory, just preload it
dataset = Dataset(index=index, batch_class=MyBatch, preloaded=data)
return dataset
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