Summary of Fineweb-edu-ar: Machine-translated Corpus to Support Arabic Small Language Models, by Sultan Alrashed et al.
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models
by Sultan Alrashed, Dmitrii Khizbullin, David R. Pugh
First submitted to arxiv on: 10 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces FineWeb-Edu-Ar, a large-scale machine-translated Arabic dataset generated using machine translation techniques. The dataset is a multilingual extension of the popular FineWeb-Edu dataset from HuggingFace. With its massive size of 202 billion tokens, FineWeb-Edu-Ar is reportedly the largest publicly available machine-translated Arabic dataset to date. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a large language model dataset for Arabic by using machine translation techniques. It makes a big Arabic language dataset that’s really big and can be used by others. This helps with training models that can understand and generate text in Arabic. |
Keywords
» Artificial intelligence » Large language model » Translation
