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 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 of MNIST digit, for example: ``` 00 down ! ! ! ! ! ! ! ! ! ! ! ! ! ! 01 down ! ! ! ! ! ! ! ! ! ! ! ! ! ! 02 down ! ! ! ! ! ! % % C L a ^ ! ! 03 down ! ! ! - ` ` ` ` ` Y ` Q ! ! 04 down ! ! ! % ` ` ` R ^ ! ! ! ! ! 05 down ! ! ! ! $ G ` ! ! ! ! ! ! ! 06 down ! ! ! ! ! # ` Y < ! ! ! ! ! 07 down ! ! ! ! ! ! 5 ` ` F ! ! ! ! 08 down ! ! ! ! ! ! ! % ` ` 1 ! ! ! 09 down ! ! ! ! ! !