SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866908670872256512 |
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| author | Alrashed, Sultan Helwe, Chadi Orabona, Francesco |
| author_facet | Alrashed, Sultan Helwe, Chadi Orabona, Francesco |
| contents | Although the community has tackled the acquisition of high-quality Arabic pretraining data, we still lack large-scale, multi-turn Arabic datasets that include reasoning and tool calling. Naive translation can work at the pretraining scale, but post-training demands much higher quality, which requires a stricter approach to dataset curation. In this work, we introduce SmolKalam, a translation of Smoltalk2 that uses a multi-model ensemble translation pipeline, applies quality filtering, and examines effective translation techniques for traditional decoder-only models through ablations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_18411 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data Alrashed, Sultan Helwe, Chadi Orabona, Francesco Computation and Language Artificial Intelligence Although the community has tackled the acquisition of high-quality Arabic pretraining data, we still lack large-scale, multi-turn Arabic datasets that include reasoning and tool calling. Naive translation can work at the pretraining scale, but post-training demands much higher quality, which requires a stricter approach to dataset curation. In this work, we introduce SmolKalam, a translation of Smoltalk2 that uses a multi-model ensemble translation pipeline, applies quality filtering, and examines effective translation techniques for traditional decoder-only models through ablations. |
| title | SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2511.18411 |