{"url":"/dataset/csaw-s","name":"CSAW-S","full_name":null,"description_markdown":"CSAW-S is a dataset of mammography images which includes expert annotations of tumors and non-expert annotations of breast anatomy and artifacts in the image.\r\n\r\nSource: [CSAW-S](https://arxiv.org/pdf/2008.00807.pdf)","description_withheld":null,"homepage":"https://github.com/ChrisMats/CSAW-S","introduced_date":"2020-07-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/adding-seemingly-uninformative-labels-helps","title":"Adding Seemingly Uninformative Labels Helps in Low Data Regimes","first_author":"Christos Matsoukas","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Tumor Segmentation","url":"/task/tumor-segmentation","datasets_with_task":"/datasets/task/tumor-segmentation"}],"languages":[],"variants":["CSAW-S"],"data_loaders":[{"repo":"https://github.com/ChrisMats/CSAW-S","url":"https://github.com/ChrisMats/CSAW-S","frameworks":[]}],"num_papers_in_archive":4,"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."}