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  # Dataset Card for "Europarl-ST"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Dataset Card for "Europarl-ST"
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Additional Information](#additional-information)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ ## Dataset Description
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+ - **Homepage:** https://www.mllp.upv.es/europarl-st/
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+ - **Paper:** https://ieeexplore.ieee.org/document/9054626
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+ - **Point of Contact:** https://www.mllp.upv.es/
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+ ### Dataset Summary
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+ 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.
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+ ### Languages
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+ [More Information Needed]
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+ ## Dataset Structure
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+ ### Data Instances
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+ [More Information Needed]
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+ ### Data Fields
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+ [More Information Needed]
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+ ### Data Splits
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+ [More Information Needed]
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+ ## Additional Information
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+ ### Licensing Information
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+ [More Information Needed]
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+ ### Citation Information
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+ If you use the corpus in your research please cite the following reference:
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+ @INPROCEEDINGS{jairsan2020a,
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+ 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}},
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+ booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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+ title={Europarl-ST: A Multilingual Corpus for Speech Translation of Parliamentary Debates},
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+ year={2020},
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+ pages={8229-8233},}