Fraser/mnist-text-small

MNIST dataset adapted to a text-based representation. *Modified images to be ~1/4 the original area.* Done by taking a max pool. This allows testing interpolation quality for Transformer-VAEs. System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM Works by quantising each MNIST pixel into one of 64 characters. Every sample has an up & down version to encourage the model to learn rotation invarient features. Use `.array_to_text(` and `.text_to_array(` methods to test your generated data. Data format: - text: (16 x 14 tokens, 224 tokens total): Textual representation

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