{"url":"/dataset/delaunay-triangulation","name":"Delaunay triangulation","full_name":null,"description_markdown":"Delaunay triangulation dataset for 5, 10, 15, 20 points.\n\nBoth random and sorted datasets are included.\n\nIf you have any trouble to use this dataset, contact hunnino10@gmail.com","description_withheld":null,"homepage":"https://github.com/hunni10/DelaunayDataset","introduced_date":"2021-07-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-delaunay-triangulation-using-self","title":"Learning Geometric Combinatorial Optimization Problems using Self-attention and Domain Knowledge","first_author":"Jaeseung Lee","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Delaunay triangulation"],"data_loaders":[],"num_papers_in_archive":1,"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."}