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# TransWebEdu
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**TransWebEdu** is a machine-translated, multi-way parallel, multilingual dataset at pretrain scale, supporting ten languages: Arabic, Welsh, German, English, Spanish, French, Indonesian, Italian, Russian, and Swahili.
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It is used to pretrain the **TransWebLLM** model from scratch, with a focus on multilingual web-based education content.
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For more information, see the paper:
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[Multilingual Language Model Pretraining using Machine-translated Data](https://arxiv.org/abs/2502.13252)
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# TransWebEdu
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**TransWebEdu** is a machine-translated, multi-way parallel, multilingual dataset at pretrain scale, supporting ten languages: Arabic, Welsh, German, English, Spanish, French, Indonesian, Italian, Russian, and Swahili.
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It is used to pretrain the [**TransWebLLM**](https://huggingface.co/britllm/TransWebLLM) model from scratch, with a focus on multilingual web-based education content.
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For more information, see the paper:
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[Multilingual Language Model Pretraining using Machine-translated Data](https://arxiv.org/abs/2502.13252)
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