{"url":"/dataset/twitter-pos","name":"Twitter POS","full_name":null,"description_markdown":"K. Gimpel, N. Schneider, B. O’Connor, D. Das, D. Mills, J. Eisenstein, M. Heilman, D. Yogatama, J. Flanigan, and N. A. Smith, “Part-of-speech tagging for Twitter: Annotation, features, and experiments”, in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2011, pp. 42–47.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"POS Tagging","url":"/task/pos-tagging","datasets_with_task":"/datasets/task/pos-tagging"}],"languages":[],"variants":["Twitter POS"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pos-tagging-on-twitter-pos","task":"POS Tagging","dataset_variant":"Twitter POS","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"DecomposedMetaSL","paper":"/paper/decomposed-meta-learning-for-few-shot","metrics":{"Accuracy":"81.01±0.15"},"code_links":[{"title":"microsoft/vert-papers","url":"https://github.com/microsoft/vert-papers/tree/master/papers/DecomposedMetaSL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/decomposed-meta-learning-for-few-shot","title":"Decomposed Meta-Learning for Few-Shot Sequence Labeling","date":"2024-03-04","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}