{"url":"/dataset/cred","name":"CRED","full_name":"Crowd Reaction Estimation Dataset","description_markdown":"In the realm of social media, understanding and predicting post reach is a significant challenge. Our paper presents a Crowd Reaction AssessMent (CReAM) task designed to estimate if a given social media post will receive more reaction than another, a particularly essential task for digital marketers and content writers. We introduce the Crowd Reaction Estimation Dataset (CRED), consisting of pairs of tweets from The White House with comparative measures of retweet count.","description_withheld":null,"homepage":"https://huggingface.co/datasets/sohomghosh/Generator-Guided-Crowd-Reaction-Assessment","introduced_date":"2024-03-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/generator-guided-crowd-reaction-assessment","title":"Generator-Guided Crowd Reaction Assessment","first_author":"Sohom Ghosh","url":null},"license":{"name":"cc-by-nc-sa-4.0","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Pair Classification","url":"/task/text-pair-classification","datasets_with_task":"/datasets/task/text-pair-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CRED"],"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."}