{"url":"/dataset/concon-dataset","name":"ConCon Dataset","full_name":"Continually Confounded Dataset","description_markdown":"ConCon: Continually Confounded Dataset is a confounded visual dataset for continual learning. \r\n\r\nFiles contained:\r\n\r\ncase_disjoint, case_strict and unconfounded consist of splits for training (train), validation (val), testing (test). \r\n\r\nEach split within case_disjoint and case_strict contains 3 tasks (t0, t1, t2) whereas there is 1 task (t0) within unconfounded.\r\n\r\nEach task contains folders for postive(1) and negative(0) images.","description_withheld":null,"homepage":"https://zenodo.org/doi/10.5281/zenodo.10630481","introduced_date":"2024-02-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/where-is-the-truth-the-risk-of-getting","title":"Where is the Truth? The Risk of Getting Confounded in a Continual World","first_author":"Florian Peter Busch","url":null},"license":null,"modalities":[],"tasks":[{"name":"Continual Learning","url":"/task/continual-learning","datasets_with_task":"/datasets/task/continual-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ConCon Dataset"],"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."}