{"url":"/dataset/automating-dynamic-consent","name":"Automating Dynamic Consent","full_name":null,"description_markdown":"This dataset is used to evaluate a predictive consent model for users’ information shared in social media. In this task, the goal is to predict whether the users will give their consent to share that data with different hypothetical audiences within a medical context. The dataset is built from information the users posted on Facebook and their consent answers about each piece of information.\n\nSource: [https://github.com/cnorval/automating-dynamic-consent-dataset](https://github.com/cnorval/automating-dynamic-consent-dataset)","description_withheld":null,"homepage":"https://github.com/cnorval/automating-dynamic-consent-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/automating-dynamic-consent-decisions-for-the","title":"Automating dynamic consent decisions for the processing of social media data in health research","first_author":"Chris Norval","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["Automating Dynamic Consent"],"data_loaders":[{"repo":"https://github.com/cnorval/automating-dynamic-consent-dataset","url":"https://github.com/cnorval/automating-dynamic-consent-dataset","frameworks":[]}],"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."}