Dataset:



Dataset Card for "ted_hrlr"

Dataset Summary

Data sets derived from TED talk transcripts for comparing similar language pairs where one is high resource and the other is low resource.

Supported Tasks

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Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

az_to_en

  • Size of downloaded dataset files: 124.94 MB
  • Size of the generated dataset: 1.46 MB
  • Total amount of disk used: 126.40 MB

An example of 'train' looks as follows.

{
    "translation": {
        "az": "zəhmət olmasa , sizə xitab edən sözlər eşidəndə əlinizi qaldırın .",
        "en": "please raise your hand if something applies to you ."
    }
}

aztr_to_en

  • Size of downloaded dataset files: 124.94 MB
  • Size of the generated dataset: 38.28 MB
  • Total amount of disk used: 163.22 MB

An example of 'train' looks as follows.

{
    "translation": {
        "az_tr": "zəhmət olmasa , sizə xitab edən sözlər eşidəndə əlinizi qaldırın .",
        "en": "please raise your hand if something applies to you ."
    }
}

be_to_en

  • Size of downloaded dataset files: 124.94 MB
  • Size of the generated dataset: 1.36 MB
  • Total amount of disk used: 126.29 MB

An example of 'train' looks as follows.

{
    "translation": {
        "be": "zəhmət olmasa , sizə xitab edən sözlər eşidəndə əlinizi qaldırın .",
        "en": "please raise your hand if something applies to you ."
    }
}

beru_to_en

  • Size of downloaded dataset files: 124.94 MB
  • Size of the generated dataset: 57.41 MB
  • Total amount of disk used: 182.35 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "translation": "{\"be_ru\": \"11 yaşımdaydım . səhərin birində , evimizdəki sevinc səslərinə oyandığım indiki kimi yadımdadır .\", \"en\": \"when i was..."
}

es_to_pt

  • Size of downloaded dataset files: 124.94 MB
  • Size of the generated dataset: 8.71 MB
  • Total amount of disk used: 133.65 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "translation": "{\"es\": \"11 yaşımdaydım . səhərin birində , evimizdəki sevinc səslərinə oyandığım indiki kimi yadımdadır .\", \"pt\": \"when i was 11..."
}

Data Fields

The data fields are the same among all splits.

az_to_en

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

aztr_to_en

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

be_to_en

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

beru_to_en

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

es_to_pt

  • translation: a multilingual string variable, with possible languages including es, pt.

Data Splits Sample Size

name train validation test
az_to_en 5947 672 904
aztr_to_en 188397 672 904
be_to_en 4510 249 665
beru_to_en 212615 249 665
es_to_pt 44939 1017 1764

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{Ye2018WordEmbeddings,
  author  = {Ye, Qi and Devendra, Sachan and Matthieu, Felix and Sarguna, Padmanabhan and Graham, Neubig},
  title   = {When and Why are pre-trained word embeddings useful for Neural Machine Translation},
  booktitle = {HLT-NAACL},
  year    = {2018},
  }

Contributions

Thanks to @thomwolf, @lewtun, @patrickvonplaten for adding this dataset.

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