{"url":"/dataset/mnist-8m","name":"MNIST-8M","full_name":"Infinite MNIST","description_markdown":"MNIST8M is derived from the MNIST dataset by applying random deformations and translations to the dataset.\r\n\r\nSource: [Scalable and Sustainable Deep Learningvia Randomized Hashing](https://arxiv.org/abs/1602.08194)","description_withheld":null,"homepage":"https://leon.bottou.org/projects/infimnist","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":null,"title":"Training invariant support vector machines using selective sampling","first_author":null,"url":"http://leon.bottou.org/papers/loosli-canu-bottou-2006"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Stochastic Optimization","url":"/task/stochastic-optimization","datasets_with_task":"/datasets/task/stochastic-optimization"},{"name":"Active Learning","url":"/task/active-learning","datasets_with_task":"/datasets/task/active-learning"},{"name":"Distributed Computing","url":"/task/distributed-computing","datasets_with_task":"/datasets/task/distributed-computing"}],"languages":[],"variants":["MNIST-8M"],"data_loaders":[],"num_papers_in_archive":26,"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."}