README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - ar
  - en
  - es
  - fr
  - ru
  - zh
license:
  - unknown
multilinguality:
  - translation
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: null
pretty_name: UnGa
configs:
  - ar-to-en
  - ar-to-es
  - ar-to-fr
  - ar-to-ru
  - ar-to-zh
  - en-to-es
  - en-to-fr
  - en-to-ru
  - en-to-zh
  - es-to-fr
  - es-to-ru
  - es-to-zh
  - fr-to-ru
  - fr-to-zh
  - ru-to-zh
dataset_info:
  - config_name: ar_to_en
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ar
              - en
    splits:
      - name: train
        num_bytes: 53122872
        num_examples: 74067
    download_size: 10584906
    dataset_size: 53122872
  - config_name: ar_to_es
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ar
              - es
    splits:
      - name: train
        num_bytes: 55728711
        num_examples: 74067
    download_size: 11084275
    dataset_size: 55728711
  - config_name: ar_to_fr
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ar
              - fr
    splits:
      - name: train
        num_bytes: 55930898
        num_examples: 74067
    download_size: 11248563
    dataset_size: 55930898
  - config_name: ar_to_ru
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ar
              - ru
    splits:
      - name: train
        num_bytes: 72657721
        num_examples: 74067
    download_size: 12852834
    dataset_size: 72657721
  - config_name: ar_to_zh
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ar
              - zh
    splits:
      - name: train
        num_bytes: 48217675
        num_examples: 74067
    download_size: 10254078
    dataset_size: 48217675
  - config_name: en_to_es
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - es
    splits:
      - name: train
        num_bytes: 45358866
        num_examples: 74067
    download_size: 9850684
    dataset_size: 45358866
  - config_name: en_to_fr
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - fr
    splits:
      - name: train
        num_bytes: 45561053
        num_examples: 74067
    download_size: 10014972
    dataset_size: 45561053
  - config_name: en_to_ru
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - ru
    splits:
      - name: train
        num_bytes: 62287876
        num_examples: 74067
    download_size: 11619243
    dataset_size: 62287876
  - config_name: en_to_zh
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - zh
    splits:
      - name: train
        num_bytes: 37847830
        num_examples: 74067
    download_size: 9020487
    dataset_size: 37847830
  - config_name: es_to_fr
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - es
              - fr
    splits:
      - name: train
        num_bytes: 48166892
        num_examples: 74067
    download_size: 10514341
    dataset_size: 48166892
  - config_name: es_to_ru
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - es
              - ru
    splits:
      - name: train
        num_bytes: 64893715
        num_examples: 74067
    download_size: 12118612
    dataset_size: 64893715
  - config_name: es_to_zh
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - es
              - zh
    splits:
      - name: train
        num_bytes: 40453669
        num_examples: 74067
    download_size: 9519856
    dataset_size: 40453669
  - config_name: fr_to_ru
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - fr
              - ru
    splits:
      - name: train
        num_bytes: 65095902
        num_examples: 74067
    download_size: 12282900
    dataset_size: 65095902
  - config_name: fr_to_zh
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - fr
              - zh
    splits:
      - name: train
        num_bytes: 40655856
        num_examples: 74067
    download_size: 9684144
    dataset_size: 40655856
  - config_name: ru_to_zh
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ru
              - zh
    splits:
      - name: train
        num_bytes: 57382679
        num_examples: 74067
    download_size: 11288415
    dataset_size: 57382679

Dataset Card for [Dataset Name]

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: http://opus.nlpl.eu/UN.php
• Repository:
• Paper: https://www.researchgate.net/publication/228579662_United_nations_general_assembly_resolutions_A_six-language_parallel_corpus
• Leaderboard:
• Point of Contact:

Dataset Summary

This is a collection of translated documents from the United Nations originally compiled into a translation memory by Alexandre Rafalovitch, Robert Dale (see http://uncorpora.org).

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

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{title = "United Nations General Assembly Resolutions: a six-language parallel corpus", abstract = "In this paper we describe a six-ways parallel public-domain corpus consisting of 2100 United Nations General Assembly Resolutions with translations in the six official languages of the United Nations, with an average of around 3 million tokens per language. The corpus is available in a preprocessed, formatting-normalized TMX format with paragraphs aligned across multiple languages. We describe the background to the corpus and its content, the process of its construction, and some of its interesting properties.", author = "Alexandre Rafalovitch and Robert Dale", year = "2009", language = "English", booktitle = "MT Summit XII proceedings", publisher = "International Association of Machine Translation", }

Contributions

Thanks to @param087 for adding this dataset.