{"url":"/dataset/dubbing-test-set","name":"Dubbing Test Set","full_name":null,"description_markdown":"**Dubbing Test Set** consists of two subsets extracted from the En→De test set of COVOST-2, a large-scale multilingual speech translation corpus based on Common Voice. Specifically, the first subset is created by randomly sampling 91 sentences (test91), while the second is randomly sampled 101 sentences from the longest 10% of the De part of the test set (test101).\r\n\r\nSource: [Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing](/paper/jointly-optimizing-translations-and-speech)","description_withheld":null,"homepage":"https://github.com/amazon-science/iwslt-autodub-task/tree/main/data/test","introduced_date":"2023-01-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/jointly-optimizing-translations-and-speech","title":"Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing","first_author":"Alexandra Chronopoulou","url":null},"license":{"name":"CC-BY-4.0","url":"https://github.com/amazon-science/iwslt-autodub-task/blob/main/data/LICENSE"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"German","url":"/datasets/language/german"}],"variants":["Dubbing Test Set"],"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."}