
# 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/RF.php
- **Repository:**
- **Paper:** http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf
- **Leaderboard:** [More Information Needed]
- **Point of Contact:** [More Information Needed]

### Dataset Summary

RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

English (en), Spanish (es), German (de), French (fr), Swedish (sv)

## 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{TIEDEMANN12.463,
  author = {J{\"o}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},
  language = {english}
 }
```

### Contributions

Thanks to [@akshayb7](https://github.com/akshayb7) for adding this dataset.
task_categories:translation annotations_creators:found language_creators:expert-generated multilinguality:multilingual size_categories:n<1K source_datasets:original language:de language:en language:es language:fr language:sv license:unknown region:us
{"annotations_creators": ["found"], "language_creators": ["expert-generated"], "language": ["de", "en", "es", "fr", "sv"], "license": ["unknown"], "multilinguality": ["multilingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "OpusRf", "config_names": ["de-en", "de-es", "de-fr", "de-sv", "en-es", "en-fr", "en-sv", "es-fr", "es-sv", "fr-sv"], "dataset_info": [{"config_name": "de-en", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["de", "en"]}}}], "splits": [{"name": "train", "num_bytes": 38683, "num_examples": 177}], "download_size": 16029, "dataset_size": 38683}, {"config_name": "de-es", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["de", "es"]}}}], "splits": [{"name": "train", "num_bytes": 2316, "num_examples": 24}], "download_size": 2403, "dataset_size": 2316}, {"config_name": "de-fr", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["de", "fr"]}}}], "splits": [{"name": "train", "num_bytes": 41300, "num_examples": 173}], "download_size": 16720, "dataset_size": 41300}, {"config_name": "de-sv", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["de", "sv"]}}}], "splits": [{"name": "train", "num_bytes": 37414, "num_examples": 178}], "download_size": 15749, "dataset_size": 37414}, {"config_name": "en-es", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "es"]}}}], "splits": [{"name": "train", "num_bytes": 2600, "num_examples": 25}], "download_size": 2485, "dataset_size": 2600}, {"config_name": "en-fr", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "fr"]}}}], "splits": [{"name": "train", "num_bytes": 39503, "num_examples": 175}], "download_size": 16038, "dataset_size": 39503}, {"config_name": "en-sv", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "sv"]}}}], "splits": [{"name": "train", "num_bytes": 35778, "num_examples": 180}], "download_size": 15147, "dataset_size": 35778}, {"config_name": "es-fr", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["es", "fr"]}}}], "splits": [{"name": "train", "num_bytes": 2519, "num_examples": 21}], "download_size": 2469, "dataset_size": 2519}, {"config_name": "es-sv", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["es", "sv"]}}}], "splits": [{"name": "train", "num_bytes": 3110, "num_examples": 28}], "download_size": 2726, "dataset_size": 3110}, {"config_name": "fr-sv", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["fr", "sv"]}}}], "splits": [{"name": "train", "num_bytes": 38627, "num_examples": 175}], "download_size": 15937, "dataset_size": 38627}]}
TAGS
#task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #size_categories-n<1K #source_datasets-original #language-German #language-English #language-Spanish #language-French #language-Swedish #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

RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations.

### Supported Tasks and Leaderboards



### Languages

English (en), Spanish (es), German (de), French (fr), Swedish (sv)

## 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







### Contributions

Thanks to @akshayb7 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

RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations. ### Supported Tasks and Leaderboards ### Languages

English (en), Spanish (es), German (de), French (fr), Swedish (sv) ## 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 ### Contributions

Thanks to @akshayb7 for adding this dataset.
TAGS
#task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #size_categories-n<1K #source_datasets-original #language-German #language-English #language-Spanish #language-French #language-Swedish #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

RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations. ### Supported Tasks and Leaderboards ### Languages

English (en), Spanish (es), German (de), French (fr), Swedish (sv) ## 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 ### Contributions

Thanks to @akshayb7 for adding this dataset.
passage: TAGS
#task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #size_categories-n<1K #source_datasets-original #language-German #language-English #language-Spanish #language-French #language-Swedish #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

RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations.### Supported Tasks and Leaderboards### Languages

English (en), Spanish (es), German (de), French (fr), Swedish (sv)## 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### Contributions

Thanks to @akshayb7 for adding this dataset.