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{"paper_url": "https://huggingface.co/papers/2406.17557", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SWEb: A Large Web Dataset for the Scandinavian Languages](https://huggingface.co/papers/2410.04456) (2024)\n* [InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning](https://huggingface.co/papers/2409.12568) (2024)\n* [CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models](https://huggingface.co/papers/2410.18505) (2024)\n* [Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language](https://huggingface.co/papers/2410.23956) (2024)\n* [Data Processing for the OpenGPT-X Model Family](https://huggingface.co/papers/2410.08800) (2024)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}
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