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Datasets:
Helsinki-NLP
/
un_ga

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
Arabic
English
Spanish
Size:
1M - 10M
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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un_ga / README.md
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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: []
pretty_name: UnGa
config_names:
  - 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:
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      - name: translation
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configs:
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    data_files:
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  - config_name: ar_to_es
    data_files:
      - split: train
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  - config_name: ar_to_fr
    data_files:
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    data_files:
      - split: train
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    data_files:
      - split: train
        path: ar_to_zh/train-*
  - config_name: en_to_es
    data_files:
      - split: train
        path: en_to_es/train-*
  - config_name: en_to_fr
    data_files:
      - split: train
        path: en_to_fr/train-*
  - config_name: en_to_ru
    data_files:
      - split: train
        path: en_to_ru/train-*
  - config_name: en_to_zh
    data_files:
      - split: train
        path: en_to_zh/train-*
  - config_name: es_to_fr
    data_files:
      - split: train
        path: es_to_fr/train-*

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

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.