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+ MNIST dataset adapted to a text-based representation.
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+ *Modified images to be ~1/4 the original area.*
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+ Done by taking a max pool.
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+
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+ This allows testing interpolation quality for Transformer-VAEs.
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+
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+ System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
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+ Works by quantising each MNIST pixel into one of 64 characters.
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+ Every sample has an up & down version to encourage the model to learn rotation invarient features.
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+
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+ Use `.array_to_text(` and `.text_to_array(` methods to test your generated data.
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+
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+ Data format:
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+ - text: (16 x 14 tokens, 224 tokens total): Textual representation of MNIST digit, for example:
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+ ```
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+ 00 down ! ! ! ! ! ! ! ! ! ! ! ! ! !
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+ 01 down ! ! ! ! ! ! ! ! ! ! ! ! ! !
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+ 02 down ! ! ! ! ! ! % % C L a ^ ! !
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+ 03 down ! ! ! - ` ` ` ` ` Y ` Q ! !
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+ 04 down ! ! ! % ` ` ` R ^ ! ! ! ! !
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+ 05 down ! ! ! ! $ G ` ! ! ! ! ! ! !
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+ 06 down ! ! ! ! ! # ` Y < ! ! ! ! !
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+ 07 down ! ! ! ! ! ! 5 ` ` F ! ! ! !
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+ 08 down ! ! ! ! ! ! ! % ` ` 1 ! ! !
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+ 09 down ! ! ! ! ! ! F ` ` ` ! ! ! !
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+ 10 down ! ! ! ! 1 ` ` ` ` 4 ! ! ! !
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+ 11 down ! ! L ` ` ` ` 5 ! ! ! ! ! !
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+ 12 down ! ! ` ` V B ! ! ! ! ! ! ! !
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+ 13 down ! ! ! ! ! ! ! ! ! ! ! ! ! !
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+ ```
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+ - label: Just a number with the texts matching label.