{"url":"/dataset/dotmark","name":"DOTmark","full_name":"Discrete Optimal Transport Benchmark","description_markdown":"DOTmark is a benchmark for discrete optimal transport, which is designed to serve as a neutral collection of problems, where discrete optimal transport methods can be tested, compared to one another, and brought to their limits on large-scale instances. It consists of a variety of grayscale images, in various resolutions and classes, such as several types of randomly generated images, classical test images and real data from microscopy.\r\n\r\nSource: [DOTmark - A Benchmark for Discrete Optimal Transport](/paper/dotmark-a-benchmark-for-discrete-optimal)","description_withheld":null,"homepage":"http://www.stochastik.math.uni-goettingen.de/DOTmark/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/dotmark-a-benchmark-for-discrete-optimal","title":"DOTmark - A Benchmark for Discrete Optimal Transport","first_author":"Jörn Schrieber","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["DOTmark"],"data_loaders":[],"num_papers_in_archive":8,"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."}