|
--- |
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annotations_creators: |
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- found |
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language_creators: |
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- found |
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language: |
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- ar |
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- de |
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- en |
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- es |
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- fr |
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- ru |
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- zh |
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license: |
|
- unknown |
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multilinguality: |
|
- multilingual |
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size_categories: |
|
- 100K<n<1M |
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source_datasets: |
|
- original |
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task_categories: |
|
- translation |
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task_ids: [] |
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paperswithcode_id: multiun |
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pretty_name: Multilingual Corpus from United Nation Documents |
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config_names: |
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- ar-en |
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- ar-es |
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- ar-fr |
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- ar-ru |
|
- ar-zh |
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- de-en |
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- de-fr |
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- de-ru |
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- de-zh |
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- en-es |
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- en-fr |
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- en-ru |
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- en-zh |
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- es-zh |
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- fr-ru |
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- fr-zh |
|
- ru-zh |
|
--- |
|
|
|
# Dataset Card for [Dataset Name] |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:**[MultiUN](http://www.euromatrixplus.net/multi-unp) |
|
- **Repository:** |
|
- **Paper:** |
|
- **Leaderboard:** |
|
- **Point of Contact:** |
|
|
|
### Dataset Summary |
|
|
|
This is a collection of translated documents from the United Nations. |
|
This corpus is available in all 6 official languages of the UN |
|
consisting of around 300 million words per language |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
The underlying task is machine translation. |
|
|
|
### 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{eisele-chen-2010-multiun, |
|
title = "{M}ulti{UN}: A Multilingual Corpus from United Nation Documents", |
|
author = "Eisele, Andreas and |
|
Chen, Yu", |
|
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)", |
|
month = may, |
|
year = "2010", |
|
address = "Valletta, Malta", |
|
publisher = "European Language Resources Association (ELRA)", |
|
url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/686_Paper.pdf", |
|
abstract = "This paper describes the acquisition, preparation and properties of a corpus extracted from the official documents of the United Nations (UN). This corpus is available in all 6 official languages of the UN, consisting of around 300 million words per language. We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.", |
|
} |
|
``` |
|
|
|
``` |
|
@InProceedings{TIEDEMANN12.463, |
|
author = {J�rg Tiedemann}, |
|
title = {Parallel Data, Tools and Interfaces in OPUS}, |
|
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, |
|
year = {2012}, |
|
month = {may}, |
|
date = {23-25}, |
|
address = {Istanbul, Turkey}, |
|
editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis}, |
|
publisher = {European Language Resources Association (ELRA)}, |
|
isbn = {978-2-9517408-7-7}, |
|
} |
|
``` |
|
### Contributions |
|
|
|
Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset. |
