{"url":"/dataset/n-digit-mnist","name":"N-Digit MNIST","full_name":null,"description_markdown":"N-Digit MNIST is a multi-digit MNIST-like dataset.","description_withheld":null,"homepage":"https://github.com/google/n-digit-mnist","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/modeling-uncertainty-with-hedged-instance","title":"Modeling Uncertainty with Hedged Instance Embedding","first_author":"Seong Joon Oh","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"},{"name":"Metric Learning","url":"/task/metric-learning","datasets_with_task":"/datasets/task/metric-learning"},{"name":"Video Alignment","url":"/task/video-alignment","datasets_with_task":"/datasets/task/video-alignment"}],"languages":[],"variants":["N-Digit MNIST"],"data_loaders":[{"repo":"https://github.com/google/n-digit-mnist","url":"https://github.com/google/n-digit-mnist","frameworks":[]}],"num_papers_in_archive":5,"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."}