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@@ -312,6 +312,6 @@ The following translation models have been used for creating the data:
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  None of this would be possible without the enormous work done by [Common Crawl](https://commoncrawl.org) providing the essential data that most open datasets for language modeling are based on.
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  Furthermore, we are also grateful for the data preparation work done by Hugging Face and the community on top of the crawled data from Common Crawl published under the label of fineweb-edu.
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  Important for this work is also the availability of parallel data through [OPUS](https://opus.nlpl.eu) and the public [translation models](https://github.com/Helsinki-NLP/OPUS-MT) based on that data.
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- Furthermore, this project was supported by the European Union's Horizon Europe research and innovation programme under grant agreement No 101070350.
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  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)
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  through the extreme scale project [MaMuLaM: Massively Multilingual Language Models](https://www.lumi-supercomputer.eu/results-of-the-sixth-finnish-lumi-extreme-scale-call/). None of the translated data would exist without this infrastructure and the compute.
 
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  None of this would be possible without the enormous work done by [Common Crawl](https://commoncrawl.org) providing the essential data that most open datasets for language modeling are based on.
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  Furthermore, we are also grateful for the data preparation work done by Hugging Face and the community on top of the crawled data from Common Crawl published under the label of fineweb-edu.
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  Important for this work is also the availability of parallel data through [OPUS](https://opus.nlpl.eu) and the public [translation models](https://github.com/Helsinki-NLP/OPUS-MT) based on that data.
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+ Furthermore, this project was supported by the European Union's Horizon Europe research and innovation programme through the [HPLT project](https://hplt-project.org) under grant agreement No 101070350.
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  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)
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  through the extreme scale project [MaMuLaM: Massively Multilingual Language Models](https://www.lumi-supercomputer.eu/results-of-the-sixth-finnish-lumi-extreme-scale-call/). None of the translated data would exist without this infrastructure and the compute.