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Dataset Card for "Europarl-ST"
Dataset Summary
Europarl-ST is a Multilingual Speech Translation Corpus, that contains paired audio-text samples for Speech Translation, constructed using the debates carried out in the European Parliament in the period between 2008 and 2012.
Languages
Spanish, German, English, French, Dutch, Polish, Portuguese, Romanian, Italian
Dataset Structure
Data Fields
- original_audio: The original speech that is heard on the recording.
- original_language: The language of the audio
- audio_path: Path to the audio file
- segment_start: Second in which the speech begins
- segment_end: Second in which the speech ends
- transcriptions: Dictionary containing transcriptions into different languages
Data Splits
- train split: 116138 samples
- valid split: 17538 samples
- test split: 18901 samples
Train set (hours):
src/tgt | en | fr | de | it | es | pt | pl | ro | nl |
---|---|---|---|---|---|---|---|---|---|
en | - | 81 | 83 | 80 | 81 | 81 | 79 | 72 | 80 |
fr | 32 | - | 21 | 20 | 21 | 22 | 20 | 18 | 22 |
de | 30 | 18 | - | 17 | 18 | 18 | 17 | 17 | 18 |
it | 37 | 21 | 21 | - | 21 | 21 | 21 | 19 | 20 |
es | 22 | 14 | 14 | 14 | - | 14 | 13 | 12 | 13 |
pt | 15 | 10 | 10 | 10 | 10 | - | 9 | 9 | 9 |
pl | 28 | 18 | 18 | 17 | 18 | 18 | - | 16 | 18 |
ro | 24 | 12 | 12 | 12 | 12 | 12 | 12 | - | 12 |
nl | 7 | 5 | 5 | 4 | 5 | 4 | 4 | 4 | - |
Valid/Test sets are all between 3 and 6 hours.
Additional Information
Licensing Information
The work carried out for constructing the Europarl-ST corpus is released under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0)
All rights of the data belong to the European Union and respective copyright holders.
Citation Information
If you use the corpus in your research please cite the following reference:
@INPROCEEDINGS{jairsan2020a, author={J. {Iranzo-Sánchez} and J. A. {Silvestre-Cerdà} and J. {Jorge} and N. {Roselló} and A. {Giménez} and A. {Sanchis} and J. {Civera} and A. {Juan}}, booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={Europarl-ST: A Multilingual Corpus for Speech Translation of Parliamentary Debates}, year={2020}, pages={8229-8233},}
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