{"url":"/dataset/cards-against-humanity","name":"Cards Against Humanity","full_name":null,"description_markdown":"A dataset of games played in the card game \"Cards Against Humanity\" (CAH), by human players, derived from the online CAH labs. \r\nEach round includes the cards presented to users - a \"black\" prompt with a blank or question and 10 \"white\" punchlines as possible responses, and which punchline was picked by a player each round, along with text and metadata.\r\n\r\nAn example prompt is “TSA guidelines now prohibit ___ on airplanes”. Candidate punchlines are “Goblins”, “BATMAN!!!”, “Poor people”, and “The\r\nright amount of cocaine”. Importantly, many cards are offensive or politically incorrect.\r\n\r\nUsed to explore human humor preferences.\r\n\r\nAvailable upon request from CAH labs: mail@cardsagainsthumanity.com\r\nTrain/test splits and data processing available in the paper/code: \"Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game\": https://github.com/ddofer/CAH","description_withheld":null,"homepage":"https://lab.cardsagainsthumanity.com/","introduced_date":"2022-10-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/cards-against-ai-predicting-humor-in-a-fill","title":"Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game","first_author":"Dan Ofer","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Sarcasm Detection","url":"/task/sarcasm-detection","datasets_with_task":"/datasets/task/sarcasm-detection"},{"name":"Sentence Classification","url":"/task/sentence-classification","datasets_with_task":"/datasets/task/sentence-classification"},{"name":"Board Games","url":"/task/board-games","datasets_with_task":"/datasets/task/board-games"},{"name":"Emotional Intelligence","url":"/task/emotional-intelligence","datasets_with_task":"/datasets/task/emotional-intelligence"},{"name":"Text Reranking","url":"/task/text-reranking","datasets_with_task":"/datasets/task/text-reranking"},{"name":"Humor Detection","url":"/task/humor-detection","datasets_with_task":"/datasets/task/humor-detection"},{"name":"Sentence-Embedding","url":"/task/sentence-embedding-1","datasets_with_task":"/datasets/task/sentence-embedding-1"},{"name":"Dark Humor Detection","url":"/task/dark-humor-detection","datasets_with_task":"/datasets/task/dark-humor-detection"},{"name":"Card Games","url":"/task/card-games","datasets_with_task":"/datasets/task/card-games"},{"name":"text-based games","url":"/task/text-based-games","datasets_with_task":"/datasets/task/text-based-games"},{"name":"Abusive Language","url":"/task/abusive-language","datasets_with_task":"/datasets/task/abusive-language"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Cards Against Humanity"],"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."}