{"url":"/dataset/inspire","name":"InspiRe","full_name":"Inspiring and non-inspiring posts from Reddit","description_markdown":"We analyze **social media** posts to tease out what makes a post inspiring and what topics are inspiring. We release a dataset of **5,800 inspiring and 5,800 non-inspiring English-language** public post unique ids collected from a dump of **Reddit public posts** made available by a third party and use linguistic heuristics to automatically detect which social media English-language posts are inspiring.","description_withheld":null,"homepage":"https://github.com/MichiganNLP/Reddit-Detect-Inspiration","introduced_date":"2021-09-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/detecting-inspiring-content-on-social-media","title":"Detecting Inspiring Content on Social Media","first_author":"Oana Ignat","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Binary Classification","url":"/task/binary-classification","datasets_with_task":"/datasets/task/binary-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["InspiRe"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-25T09:33:49+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."}