README.md

metadata

pretty_name: TEDHrlr
paperswithcode_id: null

Dataset Card for "ted_hrlr"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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
  • Contributions

Dataset Description

• Homepage: https://github.com/neulab/word-embeddings-for-nmt
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 1749.12 MB
• Size of the generated dataset: 268.61 MB
• Total amount of disk used: 2017.73 MB

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 and Leaderboards

More Information Needed

Languages

More Information Needed

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

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

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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.