Datasets › Europarl-ASR
Europarl-ASR
Europarl-ASR (EN) is a 1300-hour English-language speech and text corpus of parliamentary debates for (streaming) Automatic Speech Recognition training and benchmarking, speech data filtering and speech data verbatimization, based on European Parliament speeches and their official transcripts (1996-2020). Includes dev-test sets for streaming ASR benchmarking, made up of 18 hours of manually revised speeches. The availability of manual non-verbatim and verbatim transcripts for dev-test speeches makes this corpus also useful for the assessment of automatic filtering and verbatimization techniques. The corpus is released under an open licence at https://www.mllp.upv.es/europarl-asr/
Europarl-ASR CONTENTS: [Speech data] 1300 hours of English-language annotated speech data, 3 full sets of timed transcriptions (official non-verbatim, automatically noise-filtered, automatically verbatimized), 18 hours of speech data with both manually revised verbatim transcriptions and official non-verbatim transcriptions, split in 2 independent validation- evaluation partitions for 2 realistic ASR tasks (with vs. without previous knowledge of the speaker); [Text data] 70 million tokens of English-language text data; [Pretrained language models] the Europarl-ASR English-language n-gram language model and vocabulary.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Speech Recognition | Europarl-ASR EN Guest-test | United-MedASR (764M) WER 0.26 | High-precision medical speech recognition through... | — | 3 | Compare |
| Speech Recognition | Europarl-ASR EN MEP-test | mllp_2021_offline_filt WER 7.8 | Europarl-ASR: A Large Corpus of Parliamentary Debates... | — | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 8. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR | 0 | 1 | 24 Nov 2024 | not harvested |
| Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/Verbatimization | 0 | 4 | 30 Aug 2021 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Europarl-ASR
- Europarl-ASR MEP-test
- Europarl-ASR EN Guest-test
- Europarl-ASR EN MEP-test
4 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections