{
  "citation": "  @online{clanuwat2018deep,\n  author       = {Tarin Clanuwat and Mikel Bober-Irizar and Asanobu Kitamoto and Alex Lamb and Kazuaki Yamamoto and David Ha},\n  title        = {Deep Learning for Classical Japanese Literature},\n  date         = {2018-12-03},\n  year         = {2018},\n  eprintclass  = {cs.CV},\n  eprinttype   = {arXiv},\n  eprint       = {cs.CV/1812.01718},\n}\n",
  "description": "Kuzushiji-MNIST is a drop-in replacement for the MNIST dataset (28x28 grayscale, 70,000 images), provided in the original MNIST format as well as a NumPy format. Since MNIST restricts us to 10 classes, we chose one character to represent each of the 10 rows of Hiragana when creating Kuzushiji-MNIST.",
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