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  license: odc-by
 
 
 
 
 
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  ---
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  # MaLA Corpus: Massive Language Adaptation Corpus
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  ```
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  ## Acknowledgements
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  We extend our thanks to the language communities and contributors who helped source, clean, and validate the diverse data used in the MaLA Corpus. Their efforts are invaluable in supporting linguistic diversity in AI research.
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- This work is done by researchers at [Helsinki-NLP](https://huggingface.co/Helsinki-NLP) in collaboration with partners from TU Darmstadt, the University of Edinburgh, and LMU Munich. It is funded by [HPLT](https://hplt-project.org) and [UTTER](https://he-utter.eu).
 
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  license: odc-by
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - multilingual
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+ - low-resource
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  ---
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  # MaLA Corpus: Massive Language Adaptation Corpus
 
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  }
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  ```
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+ The final version of this dataset 🤗[MaLA-LM/mala-monolingual-split](https://huggingface.co/datasets/MaLA-LM/mala-monolingual-split) is used for training the models presented in the below paper
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+ ```
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+ @article{ji2025emma2,
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+ title={Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data},
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+ author={Shaoxiong Ji and Zihao Li and Jaakko Paavola and Indraneil Paul and Hengyu Luo and Jörg Tiedemann},
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+ year={2025},
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+ journal={arXiv preprint 2506.00469},
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+ url={https://arxiv.org/abs/2506.00469},
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+ }
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+ ```
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  ## Acknowledgements
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  We extend our thanks to the language communities and contributors who helped source, clean, and validate the diverse data used in the MaLA Corpus. Their efforts are invaluable in supporting linguistic diversity in AI research.
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+ This work is done by researchers at [Helsinki-NLP](https://huggingface.co/Helsinki-NLP) in collaboration with partners from TU Darmstadt, the University of Edinburgh, and LMU Munich. It is funded by [HPLT](https://hplt-project.org) and [UTTER](https://he-utter.eu).