Dataset · Hugging Face

AdaMLLab/smolkalam-arabic-conversational-sft

Name: smolkalam-arabic-conversational-sft
Creator: AdaMLLab
License: apache-2.0
Keywords: task_categories:text-generation, language:ar, license:apache-2.0, size_categories:1M<n<10M, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2511.18411, region:us, arabic, instruction-tuning

SmolKalam SmolKalam is a quality-filtered Arabic SFT dataset of 1,790,478 examples (~2.45B tokens), built as an ensemble translation of SmolTalk2. It covers multi-turn dialogue (23% of rows), reasoning traces (19% carry <think>), tool and function calling (4.4%), and long context, categories that are underrepresented in existing Arabic post-training data. The SmolTalk2 source mixtures are kept as subsets. Released with the paper SmolKalam: Ensemble Quality-Filtered Translation… See the full description on the dataset page: https://huggingface.co/datasets/AdaMLLab/smolkalam-arabic-conversationa

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Author / organization	AdaMLLab
License (as declared)	apache-2.0
Downloads	1.1K (as reported by Hugging Face)
Likes	3
Created	22 June 2026
Last updated at source	17 August 2026

arabicinstruction-tuningsftpost-trainingreasoningtool-callingmulti-turnlong-contexttranslationsmoltalk

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mradermacher/ALLaM-7B-Arabic-SFT-GGUFModel · used to train
mastouri/ALLaM-7B-Arabic-SFTModel · used to train

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