metadata
paperswithcode_id: null
Dataset Card for "iwslt2017"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://sites.google.com/site/iwsltevaluation2017/TED-tasks
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 4046.89 MB
- Size of the generated dataset: 1087.28 MB
- Total amount of disk used: 5134.17 MB
Dataset Summary
The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:
German, English, Italian, Dutch, Romanian.
For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
iwslt2017-ar-en
- Size of downloaded dataset files: 26.46 MB
- Size of the generated dataset: 56.02 MB
- Total amount of disk used: 82.48 MB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"translation": "{\"ar\": \"لقد طرت في \\\"القوات الجوية \\\" لمدة ثمان سنوات. والآن أجد نفسي مضطرا لخلع حذائي قبل صعود الطائرة!\", \"en\": \"I flew on Air ..."
}
iwslt2017-de-en
- Size of downloaded dataset files: 15.98 MB
- Size of the generated dataset: 42.37 MB
- Total amount of disk used: 58.35 MB
An example of 'train' looks as follows.
{
"translation": {
"de": "Es ist mir wirklich eine Ehre, zweimal auf dieser Bühne stehen zu dürfen. Tausend Dank dafür.",
"en": "And it's truly a great honor to have the opportunity to come to this stage twice; I'm extremely grateful."
}
}
iwslt2017-en-ar
- Size of downloaded dataset files: 27.97 MB
- Size of the generated dataset: 56.02 MB
- Total amount of disk used: 83.99 MB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"translation": "{\"ar\": \"لقد طرت في \\\"القوات الجوية \\\" لمدة ثمان سنوات. والآن أجد نفسي مضطرا لخلع حذائي قبل صعود الطائرة!\", \"en\": \"I flew on Air ..."
}
iwslt2017-en-de
- Size of downloaded dataset files: 15.98 MB
- Size of the generated dataset: 42.37 MB
- Total amount of disk used: 58.35 MB
An example of 'validation' looks as follows.
{
"translation": {
"de": "Die nächste Folie, die ich Ihnen zeige, ist eine Zeitrafferaufnahme was in den letzten 25 Jahren passiert ist.",
"en": "The next slide I show you will be a rapid fast-forward of what's happened over the last 25 years."
}
}
iwslt2017-en-fr
- Size of downloaded dataset files: 26.41 MB
- Size of the generated dataset: 48.87 MB
- Total amount of disk used: 75.28 MB
An example of 'validation' looks as follows.
{
"translation": {
"en": "But this understates the seriousness of this particular problem because it doesn't show the thickness of the ice.",
"fr": "Mais ceci tend à amoindrir le problème parce qu'on ne voit pas l'épaisseur de la glace."
}
}
Data Fields
The data fields are the same among all splits.
iwslt2017-ar-en
translation: a multilingualstringvariable, with possible languages includingar,en.
iwslt2017-de-en
translation: a multilingualstringvariable, with possible languages includingde,en.
iwslt2017-en-ar
translation: a multilingualstringvariable, with possible languages includingen,ar.
iwslt2017-en-de
translation: a multilingualstringvariable, with possible languages includingen,de.
iwslt2017-en-fr
translation: a multilingualstringvariable, with possible languages includingen,fr.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| iwslt2017-ar-en | 231713 | 888 | 8583 |
| iwslt2017-de-en | 206112 | 888 | 8079 |
| iwslt2017-en-ar | 231713 | 888 | 8583 |
| iwslt2017-en-de | 206112 | 888 | 8079 |
| iwslt2017-en-fr | 232825 | 890 | 8597 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@inproceedings{cettoloEtAl:EAMT2012,
Address = {Trento, Italy},
Author = {Mauro Cettolo and Christian Girardi and Marcello Federico},
Booktitle = {Proceedings of the 16$^{th}$ Conference of the European Association for Machine Translation (EAMT)},
Date = {28-30},
Month = {May},
Pages = {261--268},
Title = {WIT$^3$: Web Inventory of Transcribed and Translated Talks},
Year = {2012}}