albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
e48a28a
metadata
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:
translation:
languages:
- en
- hr
splits:
- name: train
num_bytes: 247646552
num_examples: 1002053
download_size: 84904103
dataset_size: 247646552
- config_name: enhu
features:
- name: translation
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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://paracrawl.eu/releases.html
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- 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
Languages
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 multilingualstring
variable, with possible languages includingen
,bg
.
encs
translation
: a multilingualstring
variable, with possible languages includingen
,cs
.
enda
translation
: a multilingualstring
variable, with possible languages includingen
,da
.
ende
translation
: a multilingualstring
variable, with possible languages includingen
,de
.
enel
translation
: a multilingualstring
variable, with possible languages includingen
,el
.
Data Splits
name | train |
---|---|
enbg | 1039885 |
encs | 2981949 |
enda | 2414895 |
ende | 16264448 |
enel | 1985233 |
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
Creative Commons CC0 license ("no rights reserved").
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, @lewtun, @patrickvonplaten, @mariamabarham for adding this dataset.