license: cc0-1.0
task_categories:
- translation
- text-generation
language:
- bos
- bul
- cat
- ces
- dan
- deu
- ell
- eng
- est
- eus
- fin
- fra
- gle
- glg
- hrv
- hun
- isl
- ita
- kat
- lav
- lit
- mkd
- mlt
- nld
- nno
- nob
- pol
- por
- ron
- slk
- slv
- spa
- sqi
- srp
- swe
- tur
- ukr
configs:
- config_name: bos
data_files:
- split: train
path: bos/nemotron-cc*
- config_name: bul
data_files:
- split: train
path: bul/nemotron-cc*
- config_name: cat
data_files:
- split: train
path: cat/nemotron-cc*
- config_name: ces
data_files:
- split: train
path: ces/nemotron-cc*
- config_name: dan
data_files:
- split: train
path: dan/nemotron-cc*
- config_name: deu
data_files:
- split: train
path: deu/nemotron-cc*
- config_name: ell
data_files:
- split: train
path: ell/nemotron-cc*
- config_name: eng
data_files:
- split: train
path: eng/nemotron-cc*
- config_name: est
data_files:
- split: train
path: est/nemotron-cc*
- config_name: eus
data_files:
- split: train
path: eus/nemotron-cc*
- config_name: fin
data_files:
- split: train
path: fin/nemotron-cc*
- config_name: fra
data_files:
- split: train
path: fra/nemotron-cc*
- config_name: gle
data_files:
- split: train
path: gle/nemotron-cc*
- config_name: glg
data_files:
- split: train
path: glg/nemotron-cc*
- config_name: hrv
data_files:
- split: train
path: hrv/nemotron-cc*
- config_name: hun
data_files:
- split: train
path: hun/nemotron-cc*
- config_name: isl
data_files:
- split: train
path: isl/nemotron-cc*
- config_name: ita
data_files:
- split: train
path: ita/nemotron-cc*
- config_name: kat
data_files:
- split: train
path: kat/nemotron-cc*
- config_name: lav
data_files:
- split: train
path: lav/nemotron-cc*
- config_name: lit
data_files:
- split: train
path: lit/nemotron-cc*
- config_name: mkd
data_files:
- split: train
path: mkd/nemotron-cc*
- config_name: mlt
data_files:
- split: train
path: mlt/nemotron-cc*
- config_name: nld
data_files:
- split: train
path: nld/nemotron-cc*
- config_name: nno
data_files:
- split: train
path: nno/nemotron-cc*
- config_name: nob
data_files:
- split: train
path: nob/nemotron-cc*
- config_name: pol
data_files:
- split: train
path: pol/nemotron-cc*
- config_name: por
data_files:
- split: train
path: por/nemotron-cc*
- config_name: ron
data_files:
- split: train
path: ron/nemotron-cc*
- config_name: slk
data_files:
- split: train
path: slk/nemotron-cc*
- config_name: slv
data_files:
- split: train
path: slv/nemotron-cc*
- config_name: spa
data_files:
- split: train
path: spa/nemotron-cc*
- config_name: sqi
data_files:
- split: train
path: sqi/nemotron-cc*
- config_name: srp_Cyrl
data_files:
- split: train
path: srp_Cyrl/nemotron-cc*
- config_name: swe
data_files:
- split: train
path: swe/nemotron-cc*
- config_name: tur
data_files:
- split: train
path: tur/nemotron-cc*
- config_name: ukr
data_files:
- split: train
path: ukr/nemotron-cc*
Helsinki-NLP/nemotron-cc-translated
nemotron-cc-tanslated is a collection of automatically translated documents from nemotron-cc taken out of the high-quality subset. Translations are based on OPUS-MT and HPLT-MT models. The data in v1.0 covers 156,431,999 documents with over 70 billion space-searated tokens of English data translated into 36 languages. The total v1.0 data set includes over 2.4 trillion tokens and the translated documents are aligned across all languages.
v1.1 includes a second batch of nemotron-cc-hq data (94 billion space separated tokens) translated into 9 languages: Bulgarian (bul), Czech (ces), Estonian (est), Finnish (fin), Irish (gle), Romanian (ron), Swedish (swe), Turkish (tur) and Ukrainian (ukr).
The translation models used for the translation are the same as for v1.0 (listed below) but translation has been done on CPU using ctranslate2 and beam-search of size 1 instead of using the original Marian-NMT models on GPU with beam search of size 4.
The additional files in v1.1 are marked with -run2- in their file names. Version 1 is marked with -run1-.
More information about how the data has been produced can be found on https://github.com/Helsinki-NLP/translate-fineweb. The v1.0 corpus is also available with aligned sentences in synOPUS: https://opus.nlpl.eu/synthetic/nemotron-cc-translated/v1syn.
Supported Languages
| Langid | Language |
|---|---|
| bos | Bosnian |
| bul | Bulgarian |
| cat | Catalan |
| ces | Czech |
| dan | Danish |
| deu | German |
| ell | Modern Greek |
| eng | English |
| est | Estonian |
| eus | Basque |
| fin | Finnish |
| fra | French |
| gle | Irish |
| glg | Galician |
| hrv | Croatian |
| hun | Hungarian |
| isl | Icelandic |
| ita | Italian |
| kat | Georgian |
| lav | Latvian |
| lit | Lithuanian |
| mkd | Macedonian |
| mlt | Maltese |
| nld | Dutch |
| nno | Norwegian Nynorsk |
| nob | Norwegian Bokmål |
| pol | Polish |
| por | Portuguese |
| ron | Romanian |
| slk | Slovak |
| slv | Slovenian |
| spa | Spanish |
| sqi | Albanian |
| srp_Cyrl | Serbian (cyrillic script) |
| swe | Swedish |
| tur | Turkish |
| ukr | Ukrainian |
Citation Information
Please acknowledge the source when using the data and, please, cite the following article if you use any part of this corpus in your own work:
@article{tiedemann2023democratizing,
title={Democratizing neural machine translation with {OPUS-MT}},
author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami},
journal={Language Resources and Evaluation},
number={58},
pages={713--755},
year={2023},
publisher={Springer Nature},
issn={1574-0218},
doi={10.1007/s10579-023-09704-w}
}
Translation Models
We use the original OPUS-MT and HPLT MT models trained with Marian-NMT. The following translation models have been used for creating the data:
Acknowledgements
None of this would be possible without the enormous work done by Common Crawl providing the essential data that most open datasets for language modeling are based on. Furthermore, we are also grateful for the data preparation work done by Nvidia and the community on top of the crawled data from Common Crawl published under the label of nemotron-cc. Important for this work is also the availability of parallel data through OPUS and the public translation models based on that data. Furthermore, this project was supported by the European Union's Horizon Europe research and innovation programme through the HPLT project under grant agreement No 101070350. Finally, we also want to acknowledge the computational resource made available from the Finnish national allocation for the LUMI supercomputer (https://www.lumi-supercomputer.eu) through the extreme scale project MaMuLaM: Massively Multilingual Language Models. None of the translated data would exist without this infrastructure and the compute.