{"url":"/dataset/kuzushiji-49","name":"Kuzushiji-49","full_name":null,"description_markdown":"Kuzushiji-49 is an MNIST-like dataset that has 49 classes (28x28 grayscale, 270,912 images) from 48 Hiragana characters and one Hiragana iteration mark.\r\n\r\nSource: [Deep Learning for Classical Japanese Literature](/paper/deep-learning-for-classical-japanese)\r\nImage Source: [Clanuwat et al](https://arxiv.org/pdf/1812.01718v1.pdf)","description_withheld":null,"homepage":"https://github.com/rois-codh/kmnist","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-learning-for-classical-japanese","title":"Deep Learning for Classical Japanese Literature","first_author":"Tarin Clanuwat","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Meta-Learning","url":"/task/meta-learning","datasets_with_task":"/datasets/task/meta-learning"}],"languages":[],"variants":["Kuzushiji-49"],"data_loaders":[{"repo":"https://github.com/rois-codh/kmnist","url":"https://github.com/rois-codh/kmnist","frameworks":[]}],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}