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--- |
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annotations_creators: |
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- found |
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language_creators: |
|
- found |
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languages: |
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ar-to-en: |
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- ar |
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- en |
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ar-to-es: |
|
- ar |
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- es |
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ar-to-fr: |
|
- ar |
|
- fr |
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ar-to-ru: |
|
- ar |
|
- ru |
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ar-to-zh: |
|
- ar |
|
- zh |
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en-to-es: |
|
- en |
|
- es |
|
en-to-fr: |
|
- en |
|
- fr |
|
en-to-ru: |
|
- en |
|
- ru |
|
en-to-zh: |
|
- en |
|
- zh |
|
es-to-fr: |
|
- es |
|
- fr |
|
es-to-ru: |
|
- es |
|
- ru |
|
es-to-zh: |
|
- es |
|
- zh |
|
fr-to-ru: |
|
- fr |
|
- ru |
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fr-to-zh: |
|
- fr |
|
- zh |
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ru-to-zh: |
|
- ru |
|
- zh |
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licenses: |
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- unknown |
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multilinguality: |
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- translation |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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task_categories: |
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- translation |
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task_ids: [] |
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paperswithcode_id: null |
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pretty_name: UnGa |
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--- |
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# Dataset Card for [Dataset Name] |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** http://opus.nlpl.eu/UN.php |
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- **Repository:** |
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- **Paper:** https://www.researchgate.net/publication/228579662_United_nations_general_assembly_resolutions_A_six-language_parallel_corpus |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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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). |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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[More Information Needed] |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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@inproceedings{title = "United Nations General Assembly Resolutions: a six-language parallel corpus", |
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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.", |
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author = "Alexandre Rafalovitch and Robert Dale", |
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year = "2009", |
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language = "English", |
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booktitle = "MT Summit XII proceedings", |
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publisher = "International Association of Machine Translation", |
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} |
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### Contributions |
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Thanks to [@param087](https://github.com/param087) for adding this dataset. |
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