
# Dataset Card for SAT

## Table of Contents
- [Table of Contents](#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:** https://blog.vietai.org/sat/
- **Repository:** https://github.com/vietai/sat
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts.

### Supported Tasks and Leaderboards

- Machine Translation

### Languages

The languages in the dataset are:
- Vietnamese (`vi`)
- English (`en`)

## Dataset Structure

### Data Instances

```
{
  'translation': {
    'en': 'Rachel Pike : The science behind a climate headline',
    'vi': 'Khoa học đằng sau một tiêu đề về khí hậu'
  }
}
```

### Data Fields

- `translation`:
  - `en`: Parallel text in English.
  - `vi`: Parallel text in Vietnamese.

### Data Splits

The dataset is split in "train" and "test".

|                    |   train | test |
|--------------------|--------:|-----:|
| Number of examples | 3359574 | 7221 |

## 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

Unknown.

### Citation Information

Unknown.

### Contributions

Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.

task_categories:text-generation task_categories:translation annotations_creators:no-annotation language_creators:found multilinguality:translation size_categories:1M<n<10M source_datasets:original source_datasets:extended|bible_para source_datasets:extended|kde4 source_datasets:extended|opus_gnome source_datasets:extended|open_subtitles source_datasets:extended|tatoeba language:en language:vi license:unknown conditional-text-generation region:us
{"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en", "vi"], "license": ["unknown"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["original", "extended|bible_para", "extended|kde4", "extended|opus_gnome", "extended|open_subtitles", "extended|tatoeba"], "task_categories": ["text-generation", "translation"], "task_ids": [], "pretty_name": "SAT", "tags": ["conditional-text-generation"]}
TAGS
#task_categories-text-generation #task_categories-translation #annotations_creators-no-annotation #language_creators-found #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #source_datasets-extended|bible_para #source_datasets-extended|kde4 #source_datasets-extended|opus_gnome #source_datasets-extended|open_subtitles #source_datasets-extended|tatoeba #language-English #language-Vietnamese #license-unknown #conditional-text-generation #region-us 

Dataset Card for SAT
====================


Table of Contents
-----------------


* 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: URL
* Paper:
* Leaderboard:
* Point of Contact:


### Dataset Summary


SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts.


### Supported Tasks and Leaderboards


* Machine Translation


### Languages


The languages in the dataset are:


* Vietnamese ('vi')
* English ('en')


Dataset Structure
-----------------


### Data Instances


### Data Fields


* 'translation':
	+ 'en': Parallel text in English.
	+ 'vi': Parallel text in Vietnamese.


### Data Splits


The dataset is split in "train" and "test".



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


Unknown.


Unknown.


### Contributions


Thanks to @albertvillanova for adding this dataset.



### Dataset Summary


SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts. ### Supported Tasks and Leaderboards


* Machine Translation ### Languages


The languages in the dataset are:


* Vietnamese ('vi')
* English ('en')


Dataset Structure
----------------- ### Data Instances ### Data Fields


* 'translation':
	+ 'en': Parallel text in English.
	+ 'vi': Parallel text in Vietnamese. ### Data Splits


The dataset is split in "train" and "test".



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


Unknown.


Unknown. ### Contributions


Thanks to @albertvillanova for adding this dataset.
TAGS
#task_categories-text-generation #task_categories-translation #annotations_creators-no-annotation #language_creators-found #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #source_datasets-extended|bible_para #source_datasets-extended|kde4 #source_datasets-extended|opus_gnome #source_datasets-extended|open_subtitles #source_datasets-extended|tatoeba #language-English #language-Vietnamese #license-unknown #conditional-text-generation #region-us 
 ### Dataset Summary


SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts. ### Supported Tasks and Leaderboards


* Machine Translation ### Languages


The languages in the dataset are:


* Vietnamese ('vi')
* English ('en')


Dataset Structure
----------------- ### Data Instances ### Data Fields


* 'translation':
	+ 'en': Parallel text in English.
	+ 'vi': Parallel text in Vietnamese. ### Data Splits


The dataset is split in "train" and "test".



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


Unknown.


Unknown. ### Contributions


Thanks to @albertvillanova for adding this dataset.
passage: TAGS
#task_categories-text-generation #task_categories-translation #annotations_creators-no-annotation #language_creators-found #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #source_datasets-extended|bible_para #source_datasets-extended|kde4 #source_datasets-extended|opus_gnome #source_datasets-extended|open_subtitles #source_datasets-extended|tatoeba #language-English #language-Vietnamese #license-unknown #conditional-text-generation #region-us 
### Dataset Summary


SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts.### Supported Tasks and Leaderboards


* Machine Translation### Languages


The languages in the dataset are:


* Vietnamese ('vi')
* English ('en')


Dataset Structure
-----------------### Data Instances### Data Fields


* 'translation':
	+ 'en': Parallel text in English.
	+ 'vi': Parallel text in Vietnamese.### Data Splits


The dataset is split in "train" and "test".



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


Unknown.


Unknown.### Contributions


Thanks to @albertvillanova for adding this dataset.