{"url":"/dataset/ultralambda","name":"UltraLAMBDA","full_name":null,"description_markdown":"UltraLAMBDAis a large-scale dataset of ads sourced from brand videos on platforms such as YouTube and Facebook Ads, as well as from CommonCrawl. The memorability scores for the ads are assigned by our model Henry.","description_withheld":null,"homepage":"https://behavior-in-the-wild.github.io/memorability","introduced_date":"2023-09-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/long-term-memorability-on-advertisements","title":"Long-Term Ad Memorability: Understanding & Generating Memorable Ads","first_author":"Harini SI","url":null},"license":{"name":"MIT","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["UltraLAMBDA"],"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."}