{"url":"/dataset/eht","name":"EHT","full_name":"The English Headline Treebank","description_markdown":"The English Headline Treebank (EHT) is an English headline treebank of 1,055 manually annotated and adjudicated universal dependency (UD) syntactic dependency trees to encourage research in improving NLP pipelines for English headlines.\r\n\r\nSource: [Weakly Supervised Headline Dependency Parsing](https://arxiv.org/pdf/2301.10371v1.pdf)","description_withheld":null,"homepage":"https://github.com/bloomberg/emnlp22_eht","introduced_date":"2023-01-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/weakly-supervised-headline-dependency-parsing","title":"Weakly Supervised Headline Dependency Parsing","first_author":"Adrian Benton","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EHT"],"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."}