
# Dataset Card for EUconst

## 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://opus.nlpl.eu/EUconst/corpus/version/EUconst
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Dataset Summary

A parallel corpus collected from the European Constitution.
21 languages, 210 bitexts

### 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

If you use any part of the corpus in your own work, please cite the following article:
```
@inproceedings{tiedemann-2012-parallel,
    title = "Parallel Data, Tools and Interfaces in {OPUS}",
    author = {Tiedemann, J{\"o}rg},
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Do{\u{g}}an, Mehmet U{\u{g}}ur  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
    pages = "2214--2218",
    abstract = "This paper presents the current status of OPUS, a growing language resource of parallel corpora and related tools. The focus in OPUS is to provide freely available data sets in various formats together with basic annotation to be useful for applications in computational linguistics, translation studies and cross-linguistic corpus studies. In this paper, we report about new data sets and their features, additional annotation tools and models provided from the website and essential interfaces and on-line services included in the project.",
}
```

### Contributions

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

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"path": "en-sk/train-*"}]}, {"config_name": "en-sl", "data_files": [{"split": "train", "path": "en-sl/train-*"}]}, {"config_name": "en-sv", "data_files": [{"split": "train", "path": "en-sv/train-*"}]}, {"config_name": "es-et", "data_files": [{"split": "train", "path": "es-et/train-*"}]}, {"config_name": "es-fi", "data_files": [{"split": "train", "path": "es-fi/train-*"}]}, {"config_name": "es-fr", "data_files": [{"split": "train", "path": "es-fr/train-*"}]}, {"config_name": "es-ga", "data_files": [{"split": "train", "path": "es-ga/train-*"}]}, {"config_name": "es-hu", "data_files": [{"split": "train", "path": "es-hu/train-*"}]}, {"config_name": "es-it", "data_files": [{"split": "train", "path": "es-it/train-*"}]}, {"config_name": "es-lt", "data_files": [{"split": "train", "path": "es-lt/train-*"}]}, {"config_name": "es-lv", "data_files": [{"split": "train", "path": "es-lv/train-*"}]}, {"config_name": "es-mt", "data_files": [{"split": "train", "path": "es-mt/train-*"}]}, {"config_name": "es-nl", "data_files": [{"split": "train", "path": "es-nl/train-*"}]}, {"config_name": "es-pl", "data_files": [{"split": "train", "path": "es-pl/train-*"}]}, {"config_name": "es-pt", "data_files": [{"split": "train", "path": "es-pt/train-*"}]}, {"config_name": "es-sk", "data_files": [{"split": "train", "path": "es-sk/train-*"}]}, {"config_name": "es-sl", "data_files": [{"split": "train", "path": "es-sl/train-*"}]}, {"config_name": "es-sv", "data_files": [{"split": "train", "path": "es-sv/train-*"}]}, {"config_name": "et-fi", "data_files": [{"split": "train", "path": "et-fi/train-*"}]}, {"config_name": "et-fr", "data_files": [{"split": "train", "path": "et-fr/train-*"}]}, {"config_name": "et-ga", "data_files": [{"split": "train", "path": "et-ga/train-*"}]}, {"config_name": "et-hu", "data_files": [{"split": "train", "path": "et-hu/train-*"}]}, {"config_name": "et-it", "data_files": [{"split": "train", "path": "et-it/train-*"}]}, {"config_name": "et-lt", "data_files": [{"split": "train", "path": "et-lt/train-*"}]}, {"config_name": "et-lv", "data_files": [{"split": "train", "path": "et-lv/train-*"}]}, {"config_name": "et-mt", "data_files": [{"split": "train", "path": "et-mt/train-*"}]}, {"config_name": "et-nl", "data_files": [{"split": "train", "path": "et-nl/train-*"}]}, {"config_name": "et-pl", "data_files": [{"split": "train", "path": "et-pl/train-*"}]}, {"config_name": "et-pt", "data_files": [{"split": "train", "path": "et-pt/train-*"}]}, {"config_name": "et-sk", "data_files": [{"split": "train", "path": "et-sk/train-*"}]}, {"config_name": "et-sl", "data_files": [{"split": "train", "path": "et-sl/train-*"}]}, {"config_name": "et-sv", "data_files": [{"split": "train", "path": "et-sv/train-*"}]}, {"config_name": "fi-fr", "data_files": [{"split": "train", "path": "fi-fr/train-*"}]}, {"config_name": "fi-ga", "data_files": [{"split": "train", "path": "fi-ga/train-*"}]}, {"config_name": "fi-hu", "data_files": [{"split": "train", "path": "fi-hu/train-*"}]}, {"config_name": "fi-it", "data_files": [{"split": "train", "path": "fi-it/train-*"}]}, {"config_name": "fi-lt", "data_files": [{"split": "train", "path": "fi-lt/train-*"}]}, {"config_name": "fi-lv", "data_files": [{"split": "train", "path": "fi-lv/train-*"}]}, {"config_name": "fi-mt", "data_files": [{"split": "train", "path": "fi-mt/train-*"}]}, {"config_name": "fi-nl", "data_files": [{"split": "train", "path": "fi-nl/train-*"}]}, {"config_name": "fi-pl", "data_files": [{"split": "train", "path": "fi-pl/train-*"}]}, {"config_name": "fi-pt", "data_files": [{"split": "train", "path": "fi-pt/train-*"}]}, {"config_name": "fi-sk", "data_files": [{"split": "train", "path": "fi-sk/train-*"}]}, {"config_name": "fi-sl", "data_files": [{"split": "train", "path": "fi-sl/train-*"}]}, {"config_name": "fi-sv", "data_files": [{"split": "train", "path": "fi-sv/train-*"}]}, {"config_name": "fr-ga", "data_files": [{"split": "train", "path": "fr-ga/train-*"}]}, {"config_name": "fr-hu", "data_files": [{"split": "train", "path": "fr-hu/train-*"}]}, {"config_name": "fr-it", "data_files": [{"split": "train", "path": "fr-it/train-*"}]}, {"config_name": "fr-lt", "data_files": [{"split": "train", "path": "fr-lt/train-*"}]}, {"config_name": "fr-lv", "data_files": [{"split": "train", "path": "fr-lv/train-*"}]}, {"config_name": "fr-mt", "data_files": [{"split": "train", "path": "fr-mt/train-*"}]}, {"config_name": "fr-nl", "data_files": [{"split": "train", "path": "fr-nl/train-*"}]}, {"config_name": "fr-pl", "data_files": [{"split": "train", "path": "fr-pl/train-*"}]}, {"config_name": "fr-pt", "data_files": [{"split": "train", "path": "fr-pt/train-*"}]}, {"config_name": "fr-sk", "data_files": [{"split": "train", "path": "fr-sk/train-*"}]}, {"config_name": "fr-sl", "data_files": [{"split": "train", "path": "fr-sl/train-*"}]}, {"config_name": "fr-sv", "data_files": [{"split": "train", "path": "fr-sv/train-*"}]}, {"config_name": "ga-hu", "data_files": [{"split": "train", "path": "ga-hu/train-*"}]}, {"config_name": "ga-it", "data_files": [{"split": "train", "path": "ga-it/train-*"}]}, {"config_name": "ga-lt", "data_files": [{"split": "train", "path": "ga-lt/train-*"}]}, {"config_name": "ga-lv", "data_files": [{"split": "train", "path": "ga-lv/train-*"}]}, {"config_name": "ga-mt", "data_files": [{"split": "train", "path": "ga-mt/train-*"}]}, {"config_name": "ga-nl", "data_files": [{"split": "train", "path": "ga-nl/train-*"}]}, {"config_name": "ga-pl", "data_files": [{"split": "train", "path": "ga-pl/train-*"}]}, {"config_name": "ga-pt", "data_files": [{"split": "train", "path": "ga-pt/train-*"}]}, {"config_name": "ga-sk", "data_files": [{"split": "train", "path": "ga-sk/train-*"}]}, {"config_name": "ga-sl", "data_files": [{"split": "train", "path": "ga-sl/train-*"}]}, {"config_name": "ga-sv", "data_files": [{"split": "train", "path": "ga-sv/train-*"}]}, {"config_name": "hu-it", "data_files": [{"split": "train", "path": "hu-it/train-*"}]}, {"config_name": "hu-lt", "data_files": [{"split": "train", "path": "hu-lt/train-*"}]}, {"config_name": "hu-lv", "data_files": [{"split": "train", "path": "hu-lv/train-*"}]}, {"config_name": "hu-mt", "data_files": [{"split": "train", "path": "hu-mt/train-*"}]}, {"config_name": "hu-nl", "data_files": [{"split": "train", "path": "hu-nl/train-*"}]}, {"config_name": "hu-pl", "data_files": [{"split": "train", "path": "hu-pl/train-*"}]}, {"config_name": "hu-pt", "data_files": [{"split": "train", "path": "hu-pt/train-*"}]}, {"config_name": "hu-sk", "data_files": [{"split": "train", "path": "hu-sk/train-*"}]}, {"config_name": "hu-sl", "data_files": [{"split": "train", "path": "hu-sl/train-*"}]}, {"config_name": "hu-sv", "data_files": [{"split": "train", "path": "hu-sv/train-*"}]}, {"config_name": "it-lt", "data_files": [{"split": "train", "path": "it-lt/train-*"}]}, {"config_name": "it-lv", "data_files": [{"split": "train", "path": "it-lv/train-*"}]}, {"config_name": "it-mt", "data_files": [{"split": "train", "path": "it-mt/train-*"}]}, {"config_name": "it-nl", "data_files": [{"split": "train", "path": "it-nl/train-*"}]}, {"config_name": "it-pl", "data_files": [{"split": "train", "path": "it-pl/train-*"}]}, {"config_name": "it-pt", "data_files": [{"split": "train", "path": "it-pt/train-*"}]}, {"config_name": "it-sk", "data_files": [{"split": "train", "path": "it-sk/train-*"}]}, {"config_name": "it-sl", "data_files": [{"split": "train", "path": "it-sl/train-*"}]}, {"config_name": "it-sv", "data_files": [{"split": "train", "path": "it-sv/train-*"}]}, {"config_name": "lt-lv", "data_files": [{"split": "train", "path": "lt-lv/train-*"}]}, {"config_name": "lt-mt", "data_files": [{"split": "train", "path": "lt-mt/train-*"}]}, {"config_name": "lt-nl", "data_files": [{"split": "train", "path": "lt-nl/train-*"}]}, {"config_name": "lt-pl", "data_files": [{"split": "train", "path": "lt-pl/train-*"}]}, {"config_name": "lt-pt", "data_files": [{"split": "train", "path": "lt-pt/train-*"}]}, {"config_name": "lt-sk", "data_files": [{"split": "train", "path": "lt-sk/train-*"}]}, {"config_name": "lt-sl", "data_files": [{"split": "train", "path": "lt-sl/train-*"}]}, {"config_name": "lt-sv", "data_files": [{"split": "train", "path": "lt-sv/train-*"}]}, {"config_name": "lv-mt", "data_files": [{"split": "train", "path": "lv-mt/train-*"}]}, {"config_name": "lv-nl", "data_files": [{"split": "train", "path": "lv-nl/train-*"}]}, {"config_name": "lv-pl", "data_files": [{"split": "train", "path": "lv-pl/train-*"}]}, {"config_name": "lv-pt", "data_files": [{"split": "train", "path": "lv-pt/train-*"}]}, {"config_name": "lv-sk", "data_files": [{"split": "train", "path": "lv-sk/train-*"}]}, {"config_name": "lv-sl", "data_files": [{"split": "train", "path": "lv-sl/train-*"}]}, {"config_name": "lv-sv", "data_files": [{"split": "train", "path": "lv-sv/train-*"}]}, {"config_name": "mt-nl", "data_files": [{"split": "train", "path": "mt-nl/train-*"}]}, {"config_name": "mt-pl", "data_files": [{"split": "train", "path": "mt-pl/train-*"}]}, {"config_name": "mt-pt", "data_files": [{"split": "train", "path": "mt-pt/train-*"}]}, {"config_name": "mt-sk", "data_files": [{"split": "train", "path": "mt-sk/train-*"}]}, {"config_name": "mt-sl", "data_files": [{"split": "train", "path": "mt-sl/train-*"}]}, {"config_name": "mt-sv", "data_files": [{"split": "train", "path": "mt-sv/train-*"}]}, {"config_name": "nl-pl", "data_files": [{"split": "train", "path": "nl-pl/train-*"}]}, {"config_name": "nl-pt", "data_files": [{"split": "train", "path": "nl-pt/train-*"}]}, {"config_name": "nl-sk", "data_files": [{"split": "train", "path": "nl-sk/train-*"}]}, {"config_name": "nl-sl", "data_files": [{"split": "train", "path": "nl-sl/train-*"}]}, {"config_name": "nl-sv", "data_files": [{"split": "train", "path": "nl-sv/train-*"}]}, {"config_name": "pl-pt", "data_files": [{"split": "train", "path": "pl-pt/train-*"}]}, {"config_name": "pl-sk", "data_files": [{"split": "train", "path": "pl-sk/train-*"}]}, {"config_name": "pl-sl", "data_files": [{"split": "train", "path": "pl-sl/train-*"}]}, {"config_name": "pl-sv", "data_files": [{"split": "train", "path": "pl-sv/train-*"}]}, {"config_name": "pt-sk", "data_files": [{"split": "train", "path": "pt-sk/train-*"}]}, {"config_name": "pt-sl", "data_files": [{"split": "train", "path": "pt-sl/train-*"}]}, {"config_name": "pt-sv", "data_files": [{"split": "train", "path": "pt-sv/train-*"}]}, {"config_name": "sk-sl", "data_files": [{"split": "train", "path": "sk-sl/train-*"}]}, {"config_name": "sk-sv", "data_files": [{"split": "train", "path": "sk-sv/train-*"}]}, {"config_name": "sl-sv", "data_files": [{"split": "train", "path": "sl-sv/train-*"}]}]}
TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Czech #language-Danish #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-Estonian #language-Finnish #language-French #language-Irish #language-Hungarian #language-Italian #language-Lithuanian #language-Latvian #language-Maltese #language-Dutch #language-Polish #language-Portuguese #language-Slovak #language-Slovenian #language-Swedish #license-unknown #region-us 


# Dataset Card for EUconst

## 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: 
- Leaderboard: 
- Point of Contact: 

### Dataset Summary

A parallel corpus collected from the European Constitution.
21 languages, 210 bitexts

### Supported Tasks and Leaderboards

The underlying task is machine translation.

### 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





If you use any part of the corpus in your own work, please cite the following article:


### Contributions

Thanks to @patil-suraj for adding this dataset.

# Dataset Card for EUconst ## 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: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

A parallel corpus collected from the European Constitution.
21 languages, 210 bitexts ### Supported Tasks and Leaderboards

The underlying task is machine translation. ### 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





If you use any part of the corpus in your own work, please cite the following article: ### Contributions

Thanks to @patil-suraj for adding this dataset.
TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Czech #language-Danish #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-Estonian #language-Finnish #language-French #language-Irish #language-Hungarian #language-Italian #language-Lithuanian #language-Latvian #language-Maltese #language-Dutch #language-Polish #language-Portuguese #language-Slovak #language-Slovenian #language-Swedish #license-unknown #region-us 
 # Dataset Card for EUconst ## 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: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

A parallel corpus collected from the European Constitution.
21 languages, 210 bitexts ### Supported Tasks and Leaderboards

The underlying task is machine translation. ### 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





If you use any part of the corpus in your own work, please cite the following article: ### Contributions

Thanks to @patil-suraj for adding this dataset.
passage: TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-Czech #language-Danish #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-Estonian #language-Finnish #language-French #language-Irish #language-Hungarian #language-Italian #language-Lithuanian #language-Latvian #language-Maltese #language-Dutch #language-Polish #language-Portuguese #language-Slovak #language-Slovenian #language-Swedish #license-unknown #region-us 
# Dataset Card for EUconst## 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: 
- Leaderboard: 
- Point of Contact:### Dataset Summary

A parallel corpus collected from the European Constitution.
21 languages, 210 bitexts### Supported Tasks and Leaderboards

The underlying task is machine translation.### 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