{"url":"/dataset/iwslt-2019","name":"IWSLT 2019","full_name":null,"description_markdown":"The **IWSLT 2019** dataset contains source, Machine Translated, reference and Post-Edited text, which can be used to quantify and evaluate Post-editing effort after automatic MT.\n\nSource: [https://arxiv.org/abs/1910.06204](https://arxiv.org/abs/1910.06204)","description_withheld":null,"homepage":"https://github.com/carolscarton/iwslt2019","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/estimating-post-editing-effort-a-study-on","title":"Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality","first_author":"Carolina Scarton","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["IWSLT 2019"],"data_loaders":[{"repo":"https://github.com/carolscarton/iwslt2019","url":"https://github.com/carolscarton/iwslt2019","frameworks":[]}],"num_papers_in_archive":3,"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."}