{"url":"/dataset/n-omniglot","name":"N-Omniglot","full_name":null,"description_markdown":"**N-Omniglot** is a neuromorphic dataset for few-shot learning. It contains 1,623 categories of handwritten characters, with only 20 samples per class.","description_withheld":null,"homepage":"https://bii.ia.ac.cn/braincog/dataset/N-Omniglot/","introduced_date":"2021-12-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/n-omniglot-a-large-scale-neuromorphic-dataset","title":"N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning","first_author":"Yang Li","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Few-Shot Learning","url":"/task/few-shot-learning","datasets_with_task":"/datasets/task/few-shot-learning"}],"languages":[],"variants":["N-Omniglot"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/omniglot-dataset","frameworks":["tf","pytorch"]}],"num_papers_in_archive":4,"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."}