
<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
  <p><b>Deprecated:</b> Dataset "un_ga" is deprecated due to the the unavailability of its source data. It has been superseded by the official United Nations Parallel Corpus, which is recommended for use in its place: <a href="https://huggingface.co/datasets/un_pc">un_pc</a></p>
</div>

# 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",
year = "2009",
language = "English",
booktitle = "MT Summit XII proceedings",
publisher = "International Association of Machine Translation",
}
### Contributions

Thanks to [@param087](https://github.com/param087) for adding this dataset.
task_categories:translation annotations_creators:found language_creators:found multilinguality:translation size_categories:10K<n<100K source_datasets:original language:ar language:en language:es language:fr language:ru language:zh license:unknown region:us
{"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": [{"config_name": "ar_to_en", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "en"]}}}], "splits": [{"name": "train", "num_bytes": 53122776, "num_examples": 74067}], "download_size": 21418697, "dataset_size": 53122776}, {"config_name": "ar_to_es", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "es"]}}}], "splits": [{"name": "train", "num_bytes": 55728615, "num_examples": 74067}], "download_size": 22724976, "dataset_size": 55728615}, {"config_name": "ar_to_fr", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "fr"]}}}], "splits": [{"name": "train", "num_bytes": 55930802, "num_examples": 74067}], "download_size": 23035904, "dataset_size": 55930802}, {"config_name": "ar_to_ru", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "ru"]}}}], "splits": [{"name": "train", "num_bytes": 72657625, "num_examples": 74067}], "download_size": 28279669, "dataset_size": 72657625}, {"config_name": "ar_to_zh", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "zh"]}}}], "splits": [{"name": "train", "num_bytes": 48217579, "num_examples": 74067}], "download_size": 20391116, "dataset_size": 48217579}, {"config_name": "en_to_es", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "es"]}}}], "splits": [{"name": "train", "num_bytes": 45358770, "num_examples": 74067}], "download_size": 19229141, "dataset_size": 45358770}, {"config_name": "en_to_fr", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "fr"]}}}], "splits": [{"name": "train", "num_bytes": 45560957, "num_examples": 74067}], "download_size": 19540063, "dataset_size": 45560957}, {"config_name": "en_to_ru", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "ru"]}}}], "splits": [{"name": "train", "num_bytes": 62287780, "num_examples": 74067}], "download_size": 24783812, "dataset_size": 62287780}, {"config_name": "en_to_zh", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "zh"]}}}], "splits": [{"name": "train", "num_bytes": 37847734, "num_examples": 74067}], "download_size": 16895275, "dataset_size": 37847734}, {"config_name": "es_to_fr", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["es", "fr"]}}}], "splits": [{"name": "train", "num_bytes": 48166796, "num_examples": 74067}], "download_size": 20846355, "dataset_size": 48166796}, {"config_name": "es_to_ru", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["es", "ru"]}}}], "splits": [{"name": "train", "num_bytes": 64893619, "num_examples": 74067}], "download_size": 26090092, "dataset_size": 64893619}, {"config_name": "es_to_zh", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["es", "zh"]}}}], "splits": [{"name": "train", "num_bytes": 40453573, "num_examples": 74067}], "download_size": 18201560, "dataset_size": 40453573}, {"config_name": "fr_to_ru", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["fr", "ru"]}}}], "splits": [{"name": "train", "num_bytes": 65095806, "num_examples": 74067}], "download_size": 26401015, "dataset_size": 65095806}, {"config_name": "fr_to_zh", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["fr", "zh"]}}}], "splits": [{"name": "train", "num_bytes": 40655760, "num_examples": 74067}], "download_size": 18512482, "dataset_size": 40655760}, {"config_name": "ru_to_zh", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ru", "zh"]}}}], "splits": [{"name": "train", "num_bytes": 57382583, "num_examples": 74067}], "download_size": 23756229, "dataset_size": 57382583}], "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-*"}]}, {"config_name": "ar_to_fr", "data_files": [{"split": "train", "path": "ar_to_fr/train-*"}]}, {"config_name": "ar_to_ru", "data_files": [{"split": "train", "path": "ar_to_ru/train-*"}]}, {"config_name": "ar_to_zh", "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-*"}]}, {"config_name": "es_to_ru", "data_files": [{"split": "train", "path": "es_to_ru/train-*"}]}, {"config_name": "es_to_zh", "data_files": [{"split": "train", "path": "es_to_zh/train-*"}]}, {"config_name": "fr_to_ru", "data_files": [{"split": "train", "path": "fr_to_ru/train-*"}]}, {"config_name": "fr_to_zh", "data_files": [{"split": "train", "path": "fr_to_zh/train-*"}]}, {"config_name": "ru_to_zh", "data_files": [{"split": "train", "path": "ru_to_zh/train-*"}]}]}
TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-Arabic #language-English #language-Spanish #language-French #language-Russian #language-Chinese #license-unknown #region-us 


<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
  <p><b>Deprecated:</b> Dataset "un_ga" is deprecated due to the the unavailability of its source data. It has been superseded by the official United Nations Parallel Corpus, which is recommended for use in its place: <a href="URL
</div>

# 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: URL
- Repository:
- Paper: URL
- 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 URL).


### Supported Tasks and Leaderboards



### Languages



## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### 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





@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.
# 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: URL
- Repository:
- Paper: URL
- 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 URL). ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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





@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.
TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-Arabic #language-English #language-Spanish #language-French #language-Russian #language-Chinese #license-unknown #region-us 
 # 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: URL
- Repository:
- Paper: URL
- 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 URL). ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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





@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.
passage: TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-Arabic #language-English #language-Spanish #language-French #language-Russian #language-Chinese #license-unknown #region-us 
# 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: URL
- Repository:
- Paper: URL
- 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 URL).### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators