Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models
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Abstract (arXiv)
As large language models (LLMs) grow and develop, so do their data demands. This is especially true for multilingual LLMs, where the scarcity of high-quality and readily available data online has led to a multitude of synthetic dataset generation approaches. A key technique in this space is machine translation (MT), where high-quality English text is adapted to a target, comparatively low-resource language. This report introduces FineWeb-Edu-Ar, a machine-translated version of the exceedingly popular (deduplicated) FineWeb-Edu dataset from HuggingFace. To the best of our knowledge, FineWeb-Edu-Ar is the largest publicly available machine-translated Arabic dataset out there, with its size of 202B tokens of an Arabic-trained tokenizer.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 19 references that are in the map. First posted on arXiv 10 Nov 2024.
Builds on
8 of 19 references.
References · 8
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Citing papers per year: 2024: 1.
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