{"url":"/dataset/ec-darkpattern","name":"ec-darkpattern","full_name":null,"description_markdown":"**ec-darkpattern** is a dataset for dark pattern detection and prepared its baseline detection performance with state-of-the-art machine learning methods. The original dataset was obtained from Mathur et al.’s study in 2019 [11kScale], which consists of 1,818 dark pattern texts from shopping sites. Negative samples, i.e., non-dark pattern texts, by retrieving texts from the same websites as Mathur et al.'s dataset.\r\n\r\nSource: [Dark patterns in e-commerce: a dataset and its baseline evaluations](https://arxiv.org/pdf/2211.06543v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.06543v1.pdf](https://arxiv.org/pdf/2211.06543v1.pdf)","description_withheld":null,"homepage":"https://github.com/yamanalab/ec-darkpattern","introduced_date":"2022-11-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/dark-patterns-in-e-commerce-a-dataset-and-its","title":"Dark patterns in e-commerce: a dataset and its baseline evaluations","first_author":"Yuki Yada","url":null},"license":{"name":"Apache-2.0 license","url":"https://github.com/yamanalab/ec-darkpattern/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Fairness","url":"/task/fairness","datasets_with_task":"/datasets/task/fairness"}],"languages":[],"variants":["ec-darkpattern"],"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."}