README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - az
  - be
  - en
  - es
  - fr
  - gl
  - he
  - it
  - pt
  - ru
  - tr
language_creators:
  - expert-generated
license:
  - cc-by-nc-nd-4.0
multilinguality:
  - translation
pretty_name: TEDHrlr
size_categories:
  - 1M<n<10M
source_datasets:
  - extended|ted_talks_iwslt
task_categories:
  - translation
task_ids: []
paperswithcode_id: null
dataset_info:
  - config_name: az_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - az
              - en
    splits:
      - name: test
        num_bytes: 186540
        num_examples: 904
      - name: train
        num_bytes: 1226853
        num_examples: 5947
      - name: validation
        num_bytes: 122709
        num_examples: 672
    download_size: 131005909
    dataset_size: 1536102
  - config_name: aztr_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - az_tr
              - en
    splits:
      - name: test
        num_bytes: 186540
        num_examples: 904
      - name: train
        num_bytes: 39834469
        num_examples: 188397
      - name: validation
        num_bytes: 122709
        num_examples: 672
    download_size: 131005909
    dataset_size: 40143718
  - config_name: be_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - be
              - en
    splits:
      - name: test
        num_bytes: 186606
        num_examples: 665
      - name: train
        num_bytes: 1176899
        num_examples: 4510
      - name: validation
        num_bytes: 59328
        num_examples: 249
    download_size: 131005909
    dataset_size: 1422833
  - config_name: beru_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - be_ru
              - en
    splits:
      - name: test
        num_bytes: 186606
        num_examples: 665
      - name: train
        num_bytes: 59953616
        num_examples: 212615
      - name: validation
        num_bytes: 59328
        num_examples: 249
    download_size: 131005909
    dataset_size: 60199550
  - config_name: es_to_pt
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - es
              - pt
    splits:
      - name: test
        num_bytes: 343640
        num_examples: 1764
      - name: train
        num_bytes: 8611393
        num_examples: 44939
      - name: validation
        num_bytes: 181535
        num_examples: 1017
    download_size: 131005909
    dataset_size: 9136568
  - config_name: fr_to_pt
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - fr
              - pt
    splits:
      - name: test
        num_bytes: 311650
        num_examples: 1495
      - name: train
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        num_examples: 43874
      - name: validation
        num_bytes: 212317
        num_examples: 1132
    download_size: 131005909
    dataset_size: 9279354
  - config_name: gl_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - gl
              - en
    splits:
      - name: test
        num_bytes: 193213
        num_examples: 1008
      - name: train
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        num_examples: 10018
      - name: validation
        num_bytes: 137929
        num_examples: 683
    download_size: 131005909
    dataset_size: 2292505
  - config_name: glpt_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - gl_pt
              - en
    splits:
      - name: test
        num_bytes: 193213
        num_examples: 1008
      - name: train
        num_bytes: 11734254
        num_examples: 61803
      - name: validation
        num_bytes: 137929
        num_examples: 683
    download_size: 131005909
    dataset_size: 12065396
  - config_name: he_to_pt
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - he
              - pt
    splits:
      - name: test
        num_bytes: 361378
        num_examples: 1624
      - name: train
        num_bytes: 10627615
        num_examples: 48512
      - name: validation
        num_bytes: 230725
        num_examples: 1146
    download_size: 131005909
    dataset_size: 11219718
  - config_name: it_to_pt
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - it
              - pt
    splits:
      - name: test
        num_bytes: 324726
        num_examples: 1670
      - name: train
        num_bytes: 8905825
        num_examples: 46260
      - name: validation
        num_bytes: 210375
        num_examples: 1163
    download_size: 131005909
    dataset_size: 9440926
  - config_name: pt_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - pt
              - en
    splits:
      - name: test
        num_bytes: 347803
        num_examples: 1804
      - name: train
        num_bytes: 9772911
        num_examples: 51786
      - name: validation
        num_bytes: 207960
        num_examples: 1194
    download_size: 131005909
    dataset_size: 10328674
  - config_name: ru_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - ru
              - en
    splits:
      - name: test
        num_bytes: 1459576
        num_examples: 5477
      - name: train
        num_bytes: 58778442
        num_examples: 208107
      - name: validation
        num_bytes: 1318357
        num_examples: 4806
    download_size: 131005909
    dataset_size: 61556375
  - config_name: ru_to_pt
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - ru
              - pt
    splits:
      - name: test
        num_bytes: 409062
        num_examples: 1589
      - name: train
        num_bytes: 11882860
        num_examples: 47279
      - name: validation
        num_bytes: 276866
        num_examples: 1185
    download_size: 131005909
    dataset_size: 12568788
  - config_name: tr_to_en
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - tr
              - en
    splits:
      - name: test
        num_bytes: 1026406
        num_examples: 5030
      - name: train
        num_bytes: 38607636
        num_examples: 182451
      - name: validation
        num_bytes: 832358
        num_examples: 4046
    download_size: 131005909
    dataset_size: 40466400

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:
• Repository: https://github.com/neulab/word-embeddings-for-nmt
• Paper: When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 1.83 GB
• Size of the generated dataset: 281.66 MB
• Total amount of disk used: 2.12 GB

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

Data Instances

az_to_en

• Size of downloaded dataset files: 131.01 MB
• Size of the generated dataset: 1.53 MB
• Total amount of disk used: 132.54 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: 131.01 MB
• Size of the generated dataset: 40.14 MB
• Total amount of disk used: 171.15 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: 131.01 MB
• Size of the generated dataset: 1.43 MB
• Total amount of disk used: 132.42 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: 131.01 MB
• Size of the generated dataset: 60.20 MB
• Total amount of disk used: 191.21 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: 131.01 MB
• Size of the generated dataset: 9.13 MB
• Total amount of disk used: 140.14 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{qi-etal-2018-pre,
    title = "When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?",
    author = "Qi, Ye  and
      Sachan, Devendra  and
      Felix, Matthieu  and
      Padmanabhan, Sarguna  and
      Neubig, Graham",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N18-2084",
    doi = "10.18653/v1/N18-2084",
    pages = "529--535",
}

Contributions

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