{"url":"/dataset/heroes-corpus","name":"Heroes Corpus","full_name":null,"description_markdown":"Each episode directory contains word-level and segment-level information of the whole episode and also parallel samples extracted under segments_eng and segments_spa subdirectories. Each sample is stored as an WAV audio file, text file and a CSV file containing word timing information and word-level paralinguistic and prosodic features.\r\n \r\nThis dataset contains short audio and text excerpts from the TV series \"Heroes\" (Copyright Universal Media Studios (2006-2007,2007-2008, 2008-2009)). It is compiled and used only for research purposes. Creation of this dataset is partially financed by the UPF DTIC-Maria de Maeztu Strategic Program. This dataset is created with automated tools. There might be errors due to the automated process.\r\n\r\nDescription from: [https://repositori.upf.edu/handle/10230/35572](https://repositori.upf.edu/handle/10230/35572)","description_withheld":null,"homepage":"http://hdl.handle.net/10230/35572","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-SA 4.0","url":null},"modalities":[],"tasks":[{"name":"Speech-to-Speech Translation","url":"/task/speech-to-speech-translation","datasets_with_task":"/datasets/task/speech-to-speech-translation"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Spanish","url":"/datasets/language/spanish"}],"variants":["Heroes Corpus"],"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."}