|
--- |
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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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- 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: |
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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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pretty_name: UnGa |
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config_names: |
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- ar-to-en |
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- ar-to-es |
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- ar-to-fr |
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- ar-to-ru |
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- ar-to-zh |
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- en-to-es |
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- en-to-fr |
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- en-to-ru |
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- en-to-zh |
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- es-to-fr |
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- es-to-ru |
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- es-to-zh |
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- fr-to-ru |
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- fr-to-zh |
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- ru-to-zh |
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dataset_info: |
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- config_name: ar_to_en |
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features: |
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- name: id |
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dtype: string |
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- name: translation |
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dtype: |
|
translation: |
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languages: |
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- ar |
|
- en |
|
splits: |
|
- name: train |
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num_bytes: 53122776 |
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num_examples: 74067 |
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download_size: 21418697 |
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dataset_size: 53122776 |
|
- config_name: ar_to_es |
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features: |
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- name: id |
|
dtype: string |
|
- name: translation |
|
dtype: |
|
translation: |
|
languages: |
|
- ar |
|
- es |
|
splits: |
|
- name: train |
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num_bytes: 55728615 |
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num_examples: 74067 |
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download_size: 22724976 |
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dataset_size: 55728615 |
|
- config_name: ar_to_fr |
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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 |
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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 |
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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 |
|
configs: |
|
- config_name: ar_to_en |
|
data_files: |
|
- split: train |
|
path: ar_to_en/train-* |
|
- config_name: ar_to_es |
|
data_files: |
|
- split: train |
|
path: ar_to_es/train-* |
|
--- |
|
|
|
# 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:** 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", |
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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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} |
|
### Contributions |
|
|
|
Thanks to [@param087](https://github.com/param087) for adding this dataset. |
