
# Dataset Card for OpusWikipedia

## 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/Wikipedia.php
- **Repository:** None
- **Paper:** http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf
- **Leaderboard:** [More Information Needed]
- **Point of Contact:** [More Information Needed]

### Dataset Summary

This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek.

Tha dataset contains 20 languages and 36 bitexts.

To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs,
e.g.

```python
dataset = load_dataset("opus_wikipedia", lang1="it", lang2="pl")
```

You can find the valid pairs in Homepage section of Dataset Description: http://opus.nlpl.eu/Wikipedia.php


### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The languages in the dataset are:
- ar
- bg
- cs
- de
- el
- en
- es
- fa
- fr
- he
- hu
- it
- nl
- pl
- pt
- ro
- ru
- sl
- tr
- vi

## Dataset Structure

### Data Instances

```
{
  'id': '0', 
  'translation': {
    "ar": "* Encyclopaedia of Mathematics online encyclopaedia from Springer, Graduate-level reference work with over 8,000 entries, illuminating nearly 50,000 notions in mathematics.",
    "en": "*Encyclopaedia of Mathematics online encyclopaedia from Springer, Graduate-level reference work with over 8,000 entries, illuminating nearly 50,000 notions in mathematics."
  } 
}
```

### Data Fields

- `id` (`str`): Unique identifier of the parallel sentence for the pair of languages.
- `translation` (`dict`): Parallel sentences for the pair of languages.

### Data Splits

The dataset contains a single `train` split.

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

[More Information Needed]

#### 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

```bibtex
@article{WOLK2014126,
title = {Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs},
journal = {Procedia Technology},
volume = {18},
pages = {126-132},
year = {2014},
note = {International workshop on Innovations in Information and Communication Science and Technology, IICST 2014, 3-5 September 2014, Warsaw, Poland},
issn = {2212-0173},
doi = {https://doi.org/10.1016/j.protcy.2014.11.024},
url = {https://www.sciencedirect.com/science/article/pii/S2212017314005453},
author = {Krzysztof Wołk and Krzysztof Marasek},
keywords = {Comparable corpora, machine translation, NLP},
}
```

```bibtex
@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 [@rkc007](https://github.com/rkc007) for adding this dataset.
task_categories:translation annotations_creators:found language_creators:found multilinguality:multilingual size_categories:100K<n<1M size_categories:10K<n<100K source_datasets:original language:ar language:bg language:cs language:de language:el language:en language:es language:fa language:fr language:he language:hu language:it language:nl language:pl language:pt language:ro language:ru language:sl language:tr language:vi license:unknown region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ar", "bg", "cs", "de", "el", "en", "es", "fa", "fr", "he", "hu", "it", "nl", "pl", "pt", "ro", "ru", "sl", "tr", "vi"], "license": ["unknown"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M", "10K<n<100K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "OpusWikipedia", "config_names": ["ar-en", "ar-pl", "en-ru", "en-sl", "en-vi"], "dataset_info": [{"config_name": "ar-en", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "en"]}}}], "splits": [{"name": "train", "num_bytes": 45207715, "num_examples": 151136}], "download_size": 16097997, "dataset_size": 45207715}, {"config_name": "ar-pl", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["ar", "pl"]}}}], "splits": [{"name": "train", "num_bytes": 304851676, "num_examples": 823715}], "download_size": 104585718, "dataset_size": 304851676}, {"config_name": "en-sl", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "sl"]}}}], "splits": [{"name": "train", "num_bytes": 30479739, "num_examples": 140124}], "download_size": 11727538, "dataset_size": 30479739}, {"config_name": "en-ru", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "ru"]}}}], "splits": [{"name": "train", "num_bytes": 167649057, "num_examples": 572717}], "download_size": 57356138, "dataset_size": 167649057}, {"config_name": "en-vi", "features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "vi"]}}}], "splits": [{"name": "train", "num_bytes": 7571598, "num_examples": 58116}], "download_size": 2422413, "dataset_size": 7571598}]}
TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-multilingual #size_categories-100K<n<1M #size_categories-10K<n<100K #source_datasets-original #language-Arabic #language-Bulgarian #language-Czech #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-Persian #language-French #language-Hebrew #language-Hungarian #language-Italian #language-Dutch #language-Polish #language-Portuguese #language-Romanian #language-Russian #language-Slovenian #language-Turkish #language-Vietnamese #license-unknown #region-us 


# Dataset Card for OpusWikipedia

## 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: None
- Paper: URL
- Leaderboard: 
- Point of Contact: 

### Dataset Summary

This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek.

Tha dataset contains 20 languages and 36 bitexts.

To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs,
e.g.



You can find the valid pairs in Homepage section of Dataset Description: URL


### Supported Tasks and Leaderboards



### Languages

The languages in the dataset are:
- ar
- bg
- cs
- de
- el
- en
- es
- fa
- fr
- he
- hu
- it
- nl
- pl
- pt
- ro
- ru
- sl
- tr
- vi

## Dataset Structure

### Data Instances



### Data Fields

- 'id' ('str'): Unique identifier of the parallel sentence for the pair of languages.
- 'translation' ('dict'): Parallel sentences for the pair of languages.

### Data Splits

The dataset contains a single 'train' split.

## 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 @rkc007 for adding this dataset.
# Dataset Card for OpusWikipedia ## 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: None
- Paper: URL
- Leaderboard: 
- Point of Contact: ### Dataset Summary

This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek.

Tha dataset contains 20 languages and 36 bitexts.

To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs,
e.g.



You can find the valid pairs in Homepage section of Dataset Description: URL ### Supported Tasks and Leaderboards ### Languages

The languages in the dataset are:
- ar
- bg
- cs
- de
- el
- en
- es
- fa
- fr
- he
- hu
- it
- nl
- pl
- pt
- ro
- ru
- sl
- tr
- vi ## Dataset Structure ### Data Instances ### Data Fields

- 'id' ('str'): Unique identifier of the parallel sentence for the pair of languages.
- 'translation' ('dict'): Parallel sentences for the pair of languages. ### Data Splits

The dataset contains a single 'train' split. ## 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 @rkc007 for adding this dataset.
TAGS
#task_categories-translation #annotations_creators-found #language_creators-found #multilinguality-multilingual #size_categories-100K<n<1M #size_categories-10K<n<100K #source_datasets-original #language-Arabic #language-Bulgarian #language-Czech #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-Persian #language-French #language-Hebrew #language-Hungarian #language-Italian #language-Dutch #language-Polish #language-Portuguese #language-Romanian #language-Russian #language-Slovenian #language-Turkish #language-Vietnamese #license-unknown #region-us 
 # Dataset Card for OpusWikipedia ## 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: None
- Paper: URL
- Leaderboard: 
- Point of Contact: ### Dataset Summary

This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek.

Tha dataset contains 20 languages and 36 bitexts.

To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs,
e.g.



You can find the valid pairs in Homepage section of Dataset Description: URL ### Supported Tasks and Leaderboards ### Languages

The languages in the dataset are:
- ar
- bg
- cs
- de
- el
- en
- es
- fa
- fr
- he
- hu
- it
- nl
- pl
- pt
- ro
- ru
- sl
- tr
- vi ## Dataset Structure ### Data Instances ### Data Fields

- 'id' ('str'): Unique identifier of the parallel sentence for the pair of languages.
- 'translation' ('dict'): Parallel sentences for the pair of languages. ### Data Splits

The dataset contains a single 'train' split. ## 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 @rkc007 for adding this dataset.