{"url":"/dataset/humicroedit","name":"Humicroedit","full_name":null,"description_markdown":"Humicroedit is a humorous headline dataset. The data consists of regular English news headlines paired with versions of the same headlines that contain simple replacement edits designed to make them funny. The authors carefully curated crowdsourced editors to create funny headlines and judges to score a to a total of 15,095 edited headlines, with five judges per headline.\r\n\r\nSource: [\"President Vows to Cut <Taxes> Hair\": Dataset and Analysis of Creative Text Editing for Humorous Headlines](/paper/190600274)\r\nImage Source: [https://arxiv.org/pdf/1906.00274v1.pdf](https://arxiv.org/pdf/1906.00274v1.pdf)","description_withheld":null,"homepage":"https://www.cs.rochester.edu/u/nhossain/humicroedit.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/190600274","title":"\"President Vows to Cut <Taxes> Hair\": Dataset and Analysis of Creative Text Editing for Humorous Headlines","first_author":"Nabil Hossain","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Humicroedit"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/SemEvalWorkshop/humicroedit","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/humicroedit","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":15,"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."}