{"url":"/dataset/edacc","name":"EdAcc","full_name":"Edinburgh International Accents of English Corpus","description_markdown":"**The Edinburgh International Accents of English Corpus (EdAcc)** is a new automatic speech recognition (ASR) dataset composed of 40 hours of English dyadic conversations between speakers with a diverse set of accents. EdAcc includes a wide range of first and second-language varieties of English and a linguistic background profile of each speaker.\r\n\r\nSource: [The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR](https://arxiv.org/pdf/2303.18110v1.pdf)\r\n\r\nImage Source: [The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR](https://arxiv.org/pdf/2303.18110v1.pdf)","description_withheld":null,"homepage":"https://groups.inf.ed.ac.uk/edacc/","introduced_date":"2023-03-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-edinburgh-international-accents-of","title":"The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR","first_author":"Ramon Sanabria","url":null},"license":null,"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Automatic Speech Recognition (ASR)","url":"/task/automatic-speech-recognition","datasets_with_task":"/datasets/task/automatic-speech-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EdAcc"],"data_loaders":[],"num_papers_in_archive":4,"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."}