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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

Indonesian

Untuk mengatasi kesenjangan ini, kami memperkenalkan DAR-MGSM (Dialectal Arabic Multilingual Grade School Math) Benchmark, benchmark pertama yang dikurasi secara manual untuk mengevaluasi pertimbangan matematika dalam bahasa Arab dialektal. DAR-MGSM terdiri dari masalah kata matematika (MWPs) yang membutuhkan pertimbangan multi-langkah dan mencakup lima dialek Arab utama bersama dengan Modern Standard Arabic (MSA). Benchmark ini terdiri dari dua versi paralel: terjemahan-hanya dan terjemahan & terlokalisasi secara budaya. versi terakhir menyesuaikan entitas

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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