{"url":"/dataset/reddit-tifu","name":"Reddit TIFU","full_name":null,"description_markdown":"**Reddit TIFU** dataset is a newly collected Reddit dataset, where TIFU denotes the name of /r/tifu subbreddit.\r\nThere are 122,933 text-summary pairs in total.\r\n\r\nSource: [https://github.com/ctr4si/MMN](https://github.com/ctr4si/MMN)","description_withheld":null,"homepage":"https://github.com/ctr4si/MMN","introduced_date":"2018-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/abstractive-summarization-of-reddit-posts","title":"Abstractive Summarization of Reddit Posts with Multi-level Memory Networks","first_author":"Byeongchang Kim","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Summarization","url":"/task/text-summarization","datasets_with_task":"/datasets/task/text-summarization"},{"name":"Abstractive Text Summarization","url":"/task/abstractive-text-summarization","datasets_with_task":"/datasets/task/abstractive-text-summarization"}],"languages":[],"variants":["Reddit TIFU"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/ctr4si/reddit_tifu","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/reddit_tifu","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/reddit_tifu","frameworks":["tf","jax"]},{"repo":"https://github.com/ctr4si/MMN","url":"https://github.com/ctr4si/MMN","frameworks":[]}],"num_papers_in_archive":47,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/text-summarization-on-reddit-tifu","task":"Text Summarization","dataset_variant":"Reddit TIFU","rows":5,"metrics":["ROUGE-1","ROUGE-2","ROUGE-L"],"first_row_in_archive_order":{"model":"PEGASUS 2B + SLiC","paper":"/paper/calibrating-sequence-likelihood-improves","metrics":{"ROUGE-1":"32.03","ROUGE-2":"11.13","ROUGE-L":"25.51"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/calibrating-sequence-likelihood-improves","title":"Calibrating Sequence likelihood Improves Conditional Language Generation","date":"2022-09-30","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/summareranker-a-multi-task-mixture-of-experts-1","title":"SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization","date":"2022-03-13","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/muppet-massive-multi-task-representations","title":"Muppet: Massive Multi-task Representations with Pre-Finetuning","date":"2021-01-26","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/better-fine-tuning-by-reducing","title":"Better Fine-Tuning by Reducing Representational Collapse","date":"2020-08-06","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/extractive-summarization-as-text-matching","title":"Extractive Summarization as Text Matching","date":"2020-04-19","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":2,"samples_unverified":1,"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."}