{"url":"/dataset/staindoc","name":"StainDoc","full_name":null,"description_markdown":"The datasets used in our WACV paper High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer.\r\nStainDoc is a newly created document stain dataset.\r\nStainDoc_mark and StainDoc_seal are synthetic datasets.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/xuhangc/wacv2025-staindoc","introduced_date":"2024-10-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/high-fidelity-document-stain-removal-via-a","title":"High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer","first_author":"Mingxian Li","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Document Enhancement","url":"/task/document-enhancement","datasets_with_task":"/datasets/task/document-enhancement"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["StainDoc"],"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."}