{"url":"/dataset/vindr-mammo-1","name":"Vindr-Mammo","full_name":null,"description_markdown":"Large-scale benchmark dataset of full-field digital mammography, called VinDr-Mammo, which consists of 5,000 four-view exams with breast-level assessment and finding annotations. Each of these exams was independently double read, with discordance (if any) being resolved by arbitration by a third radiologist.","description_withheld":null,"homepage":"https://vindr.ai/datasets/mammo","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Vindr-Mammo"],"data_loaders":[],"num_papers_in_archive":2,"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."}