{"url":"/dataset/kmnist","name":"KMNIST","full_name":null,"description_markdown":"","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"}],"languages":[],"variants":["KMNIST"],"data_loaders":[{"repo":"https://github.com/pytorch/vision","url":"https://pytorch.org/vision/stable/generated/torchvision.datasets.KMNIST.html","frameworks":["pytorch"]},{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/kmnist","frameworks":["tf","pytorch"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/kmnist","frameworks":["tf","pytorch","jax"]},{"repo":"https://gitlab.com/afagarap/pt-datasets","url":"https://gitlab.com/afagarap/pt-datasets","frameworks":["pytorch"]}],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-kmnist","task":"Image Classification","dataset_variant":"KMNIST","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"µ2Net (ViT-L/16)","paper":"/paper/an-evolutionary-approach-to-dynamic","metrics":{"Accuracy":"98.68"},"code_links":[{"title":"google-research/google-research","url":"https://github.com/google-research/google-research/tree/master/muNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-generation-on-kmnist","task":"Image Generation","dataset_variant":"KMNIST","rows":1,"metrics":["FID"],"first_row_in_archive_order":{"model":"Spiking-Diffusion","paper":"/paper/spiking-diffusion-vector-quantized-discrete","metrics":{"FID":"59.23"},"code_links":[{"title":"Arktis2022/Spiking-Diffusion","url":"https://github.com/Arktis2022/Spiking-Diffusion"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/spiking-diffusion-vector-quantized-discrete","title":"Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks","date":"2023-08-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/an-evolutionary-approach-to-dynamic","title":"An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems","date":"2022-05-25","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}