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Benchmarking Arabic Dialects for Math Problems

Noor Abo Mokh, Teresa Lynn, Nizar Habash, Ahmed Elshabrawy, Sara Alhajeri, Alaa Elsetohy, Preslav Nakov, Alham Fikri Aji · 2026 · arXiv

DOI: 10.48550/arXiv.2610.28607 · open-access PDF

French

Le raisonnement mathématique reste inexploré pour les langues à faible ressource, y compris l’arabe dialectal. Pour combler ce fossé, nous introduisons le DAR-MGSM (Dialectal Arabic Multilingual Grade School Math) Benchmark, le premier référentiel manuellement curé pour évaluer le raisonnement mathématique en arabe dialectal. DAR-MGSM se compose de problèmes de mots mathématiques (MWPs) nécessitant un raisonnement en plusieurs étapes et couvre cinq grands dialectes arabes aux côtés de l’arabe standard moderne (MSA). Le référentiel comprend deux versions parallèles: traduit-seulement et traduit & culturellement localisé.

Machine translation (Meta M2M100); the English original follows.

Abstract

Mathematical reasoning remains underexplored for low-resource languages, including Dialectal Arabic. To bridge this gap, we introduce the DAR-MGSM (Dialectal Arabic Multilingual Grade School Math) Benchmark, the first manually curated benchmark for evaluating mathematical reasoning in Dialectal Arabic. DAR-MGSM consists of math word problems (MWPs) requiring multi-step reasoning and covers five major Arabic dialects alongside Modern Standard Arabic (MSA). The benchmark comprises two parallel versions: translated-only and translated & culturally localized. The latter version adapts entities

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