Dataset: iwslt2017


Dataset Card for "iwslt2017"

Table of Contents

Dataset Description

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

More Information Needed

Languages

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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 multilingual string variable, with possible languages including ar, en.

iwslt2017-de-en

  • translation: a multilingual string variable, with possible languages including de, en.

iwslt2017-en-ar

  • translation: a multilingual string variable, with possible languages including en, ar.

iwslt2017-en-de

  • translation: a multilingual string variable, with possible languages including en, de.

iwslt2017-en-fr

  • translation: a multilingual string variable, with possible languages including en, fr.

Data Splits Sample Size

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

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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}}

Models trained or fine-tuned on iwslt2017

None yet