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---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hr
- hu
- it
- lt
- lv
- mt
- nl
- pl
- pt
- ro
- sk
- sl
- sv
license:
- cc0-1.0
multilinguality:
- translation
pretty_name: ParaCrawl
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: paracrawl
dataset_info:
- config_name: enbg
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - bg
  splits:
  - name: train
    num_bytes: 356532771
    num_examples: 1039885
  download_size: 103743335
  dataset_size: 356532771
- config_name: encs
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - cs
  splits:
  - name: train
    num_bytes: 638068353
    num_examples: 2981949
  download_size: 196410022
  dataset_size: 638068353
- config_name: enda
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - da
  splits:
  - name: train
    num_bytes: 598624306
    num_examples: 2414895
  download_size: 182804827
  dataset_size: 598624306
- config_name: ende
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - de
  splits:
  - name: train
    num_bytes: 3997191986
    num_examples: 16264448
  download_size: 1307754745
  dataset_size: 3997191986
- config_name: enel
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - el
  splits:
  - name: train
    num_bytes: 688069020
    num_examples: 1985233
  download_size: 193553374
  dataset_size: 688069020
- config_name: enes
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - es
  splits:
  - name: train
    num_bytes: 6209466040
    num_examples: 21987267
  download_size: 1953839527
  dataset_size: 6209466040
- config_name: enet
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - et
  splits:
  - name: train
    num_bytes: 201408919
    num_examples: 853422
  download_size: 70158650
  dataset_size: 201408919
- config_name: enfi
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - fi
  splits:
  - name: train
    num_bytes: 524624150
    num_examples: 2156069
  download_size: 159209242
  dataset_size: 524624150
- config_name: enfr
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - fr
  splits:
  - name: train
    num_bytes: 9015440258
    num_examples: 31374161
  download_size: 2827554088
  dataset_size: 9015440258
- config_name: enga
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - ga
  splits:
  - name: train
    num_bytes: 104523278
    num_examples: 357399
  download_size: 29394367
  dataset_size: 104523278
- config_name: enhr
  features:
  - name: translation
    dtype:
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        languages:
        - en
        - hr
  splits:
  - name: train
    num_bytes: 247646552
    num_examples: 1002053
  download_size: 84904103
  dataset_size: 247646552
- config_name: enhu
  features:
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    dtype:
      translation:
        languages:
        - en
        - hu
  splits:
  - name: train
    num_bytes: 403168065
    num_examples: 1901342
  download_size: 119784765
  dataset_size: 403168065
- config_name: enit
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - it
  splits:
  - name: train
    num_bytes: 3340542050
    num_examples: 12162239
  download_size: 1066720197
  dataset_size: 3340542050
- config_name: enlt
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - lt
  splits:
  - name: train
    num_bytes: 197053694
    num_examples: 844643
  download_size: 66358392
  dataset_size: 197053694
- config_name: enlv
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - lv
  splits:
  - name: train
    num_bytes: 142409870
    num_examples: 553060
  download_size: 47368967
  dataset_size: 142409870
- config_name: enmt
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - mt
  splits:
  - name: train
    num_bytes: 52786023
    num_examples: 195502
  download_size: 19028352
  dataset_size: 52786023
- config_name: ennl
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - nl
  splits:
  - name: train
    num_bytes: 1384042007
    num_examples: 5659268
  download_size: 420090979
  dataset_size: 1384042007
- config_name: enpl
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - pl
  splits:
  - name: train
    num_bytes: 854786500
    num_examples: 3503276
  download_size: 270427885
  dataset_size: 854786500
- config_name: enpt
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - pt
  splits:
  - name: train
    num_bytes: 2031891156
    num_examples: 8141940
  download_size: 638184462
  dataset_size: 2031891156
- config_name: enro
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - ro
  splits:
  - name: train
    num_bytes: 518359240
    num_examples: 1952043
  download_size: 160684751
  dataset_size: 518359240
- config_name: ensk
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - sk
  splits:
  - name: train
    num_bytes: 337704729
    num_examples: 1591831
  download_size: 101307152
  dataset_size: 337704729
- config_name: ensl
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - sl
  splits:
  - name: train
    num_bytes: 182399034
    num_examples: 660161
  download_size: 65037465
  dataset_size: 182399034
- config_name: ensv
  features:
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - sv
  splits:
  - name: train
    num_bytes: 875576366
    num_examples: 3476729
  download_size: 275528370
  dataset_size: 875576366
---

# Dataset Card for "para_crawl"

## 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://paracrawl.eu/releases.html](https://paracrawl.eu/releases.html)
- **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)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 10.36 GB
- **Size of the generated dataset:** 32.90 GB
- **Total amount of disk used:** 43.26 GB

### Dataset Summary

Web-Scale Parallel Corpora for Official European Languages.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances

#### enbg

- **Size of downloaded dataset files:** 103.75 MB
- **Size of the generated dataset:** 356.54 MB
- **Total amount of disk used:** 460.27 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "translation": "{\"bg\": \". “A felirat faragott karnis a bejárat fölött, templom épült 14 Július 1643, A földesúr és felesége Jeremiás Murguleţ, C..."
}
```

#### encs

- **Size of downloaded dataset files:** 196.41 MB
- **Size of the generated dataset:** 638.07 MB
- **Total amount of disk used:** 834.48 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "translation": "{\"cs\": \". “A felirat faragott karnis a bejárat fölött, templom épült 14 Július 1643, A földesúr és felesége Jeremiás Murguleţ, C..."
}
```

#### enda

- **Size of downloaded dataset files:** 182.81 MB
- **Size of the generated dataset:** 598.62 MB
- **Total amount of disk used:** 781.43 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "translation": "{\"da\": \". “A felirat faragott karnis a bejárat fölött, templom épült 14 Július 1643, A földesúr és felesége Jeremiás Murguleţ, C..."
}
```

#### ende

- **Size of downloaded dataset files:** 1.31 GB
- **Size of the generated dataset:** 4.00 GB
- **Total amount of disk used:** 5.30 GB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "translation": "{\"de\": \". “A felirat faragott karnis a bejárat fölött, templom épült 14 Július 1643, A földesúr és felesége Jeremiás Murguleţ, C..."
}
```

#### enel

- **Size of downloaded dataset files:** 193.56 MB
- **Size of the generated dataset:** 688.07 MB
- **Total amount of disk used:** 881.62 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "translation": "{\"el\": \". “A felirat faragott karnis a bejárat fölött, templom épült 14 Július 1643, A földesúr és felesége Jeremiás Murguleţ, C..."
}
```

### Data Fields

The data fields are the same among all splits.

#### enbg
- `translation`: a multilingual `string` variable, with possible languages including `en`, `bg`.

#### encs
- `translation`: a multilingual `string` variable, with possible languages including `en`, `cs`.

#### enda
- `translation`: a multilingual `string` variable, with possible languages including `en`, `da`.

#### ende
- `translation`: a multilingual `string` variable, with possible languages including `en`, `de`.

#### enel
- `translation`: a multilingual `string` variable, with possible languages including `en`, `el`.

### Data Splits

| name |    train |
|------|---------:|
| enbg |  1039885 |
| encs |  2981949 |
| enda |  2414895 |
| ende | 16264448 |
| enel |  1985233 |

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[Creative Commons CC0 license ("no rights reserved")](https://creativecommons.org/share-your-work/public-domain/cc0/).

### Citation Information

```
@inproceedings{banon-etal-2020-paracrawl,
    title = "{P}ara{C}rawl: Web-Scale Acquisition of Parallel Corpora",
    author = "Ba{\~n}{\'o}n, Marta  and
      Chen, Pinzhen  and
      Haddow, Barry  and
      Heafield, Kenneth  and
      Hoang, Hieu  and
      Espl{\`a}-Gomis, Miquel  and
      Forcada, Mikel L.  and
      Kamran, Amir  and
      Kirefu, Faheem  and
      Koehn, Philipp  and
      Ortiz Rojas, Sergio  and
      Pla Sempere, Leopoldo  and
      Ram{\'\i}rez-S{\'a}nchez, Gema  and
      Sarr{\'\i}as, Elsa  and
      Strelec, Marek  and
      Thompson, Brian  and
      Waites, William  and
      Wiggins, Dion  and
      Zaragoza, Jaume",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.acl-main.417",
    doi = "10.18653/v1/2020.acl-main.417",
    pages = "4555--4567",
    abstract = "We report on methods to create the largest publicly available parallel corpora by crawling the web, using open source software. We empirically compare alternative methods and publish benchmark data sets for sentence alignment and sentence pair filtering. We also describe the parallel corpora released and evaluate their quality and their usefulness to create machine translation systems.",
}
```


### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.