{"url":"/dataset/gigaword-entailment","name":"Gigaword Entailment","full_name":null,"description_markdown":"The **Gigaword Entailment** dataset is a dataset for entailment prediction between an article and its headline. It is built from the Gigaword dataset.\n\nSource: [https://github.com/nlp-titech/headline-entailment](https://github.com/nlp-titech/headline-entailment)","description_withheld":null,"homepage":"https://github.com/nlp-titech/headline-entailment","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/improving-truthfulness-of-headline-generation","title":"Improving Truthfulness of Headline Generation","first_author":"Kazuki Matsumaru","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Natural Language Inference","url":"/task/natural-language-inference","datasets_with_task":"/datasets/task/natural-language-inference"},{"name":"Abstractive Text Summarization","url":"/task/abstractive-text-summarization","datasets_with_task":"/datasets/task/abstractive-text-summarization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Gigaword Entailment"],"data_loaders":[{"repo":"https://github.com/nlp-titech/headline-entailment","url":"https://github.com/nlp-titech/headline-entailment","frameworks":[]}],"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":"2026-09-25T09:33:49+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."}