# Dataset Card for "Europarl-ST"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Additional Information](#additional-information)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)

## Dataset Description

- **Homepage:** https://www.mllp.upv.es/europarl-st/
- **Paper:** https://ieeexplore.ieee.org/document/9054626
- **Point of Contact:** https://www.mllp.upv.es/

### 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},}
task_categories:translation task_categories:text-to-speech size_categories:100K<n<1M language:es language:de language:en language:fr language:nl language:pl language:pt language:ro language:it license:cc-by-nc-4.0 region:us
{"language": ["es", "de", "en", "fr", "nl", "pl", "pt", "ro", "it"], "license": "cc-by-nc-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["translation", "text-to-speech"], "dataset_info": {"features": [{"name": "original_speech", "dtype": "string"}, {"name": "original_language", "dtype": "string"}, {"name": "audio_path", "dtype": "string"}, {"name": "segment_start", "dtype": "float32"}, {"name": "segment_end", "dtype": "float32"}, {"name": "transcriptions", "struct": [{"name": "de", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "es", "dtype": "string"}, {"name": "fr", "dtype": "string"}, {"name": "it", "dtype": "string"}, {"name": "nl", "dtype": "string"}, {"name": "pl", "dtype": "string"}, {"name": "pt", "dtype": "string"}, {"name": "ro", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 147857910, "num_examples": 116138}, {"name": "valid", "num_bytes": 21318985, "num_examples": 17538}, {"name": "test", "num_bytes": 22580968, "num_examples": 18901}], "download_size": 109205144, "dataset_size": 191757863}}
TAGS
#task_categories-translation #task_categories-text-to-speech #size_categories-100K<n<1M #language-Spanish #language-German #language-English #language-French #language-Dutch #language-Polish #language-Portuguese #language-Romanian #language-Italian #license-cc-by-nc-4.0 #region-us 

Dataset Card for "Europarl-ST"
==============================


Table of Contents
-----------------


* Table of Contents
* Dataset Description
	+ Dataset Summary
	+ Languages
* Dataset Structure
	+ Data Fields
	+ Data Splits
* Additional Information
	+ Licensing Information
	+ Citation Information


Dataset Description
-------------------


* Homepage: URL
* Paper: URL
* Point of Contact: URL


### 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):



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.


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},}



### 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):



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.


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},}
TAGS
#task_categories-translation #task_categories-text-to-speech #size_categories-100K<n<1M #language-Spanish #language-German #language-English #language-French #language-Dutch #language-Polish #language-Portuguese #language-Romanian #language-Italian #license-cc-by-nc-4.0 #region-us 
 ### 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):



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.


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},}