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I am trying to load the MNIST dataset linked here in Python 3.2 using this program: import pickle import gzip import numpy with gzip.open('mnist.pkl.gz', 'rb') as f: l = list(pickle.load(f)) print(l) Unfortunately, it gives me the error: Traceback (most recent call last): File "mnist.py", line 7, in <module> train_set, valid_set, test_set = pickle.load(f) UnicodeDecodeError: 'ascii' codec can't decode byte 0x90 in position 614: ordinal not in range(128) I then tried to decode the pickled file in Python 2.7, and re-encode it. So, I ran this program in Python 2.7: import pickle import gzip import numpy with gzip.open('mnist.pkl.gz', 'rb') as f: train_set, valid_set, test_set = pickle.load(f) # Printing out the three objects reveals that they are # all pairs containing numpy arrays. with gzip.open('mnistx.pkl.gz', 'wb') as g: pickle.dump( (train_set, valid_set, test_set), g, protocol=2) # I also tried protocol 0. It ran without error, so I reran this program in Python 3.2: import pickle import gzip import numpy # note the filename change with gzip.open('mnistx.pkl.gz', 'rb') as f: l = list(pickle.load(f)) print(l) However, it gave me the same error as before. How do I get this to work? This is a better approach for loading the MNIST dataset.

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