--- license: cc-by-4.0 task_categories: - translation language: - ar - en tags: - sudanese-arabic - dialectal-arabic - machine-translation - benchmark - low-resource-nlp size_categories: - n<1K --- # Sudanese Arabic Machine Translation Benchmark ## Dataset Description This benchmark addresses a **documented gap** in Arabic NLP research: the exclusion of Sudanese Arabic from dialectal machine translation evaluation. Recent research (Alabdullah et al., 2025) states: > "The focus on three dialects (Levantine, Gulf, Egyptian) constrained generalization, leaving the proposed translation techniques **untested on varieties such as Maghrebi and Sudanese Arabic**." This dataset provides the first benchmark specifically designed for evaluating Sudanese Arabic → English translation quality. ## Supported Tasks - **Translation**: Sudanese Arabic → English - **Dialect Identification**: Can be used to test if models distinguish Sudanese from other Arabic dialects - **Error Analysis**: Annotated for linguistic challenges unique to Sudanese ## Languages - **Source**: Arabic (Sudanese dialect) - **Target**: English ## Dataset Structure ### Data Fields | Field | Type | Description | |-------|------|-------------| | id | string | Unique identifier (sud_mt_XX) | | source | string | Sudanese Arabic text | | reference | string | English reference translation | | difficulty | string | easy/medium/hard | | notes | string | Linguistic annotation | | dialect_markers | list | Sudanese-specific features present | | confusion_risk | string | Potential for dialect confusion | ### Data Splits - **test**: 20 sentences (10 Sudanese Arabic + 10 MSA control) ## Linguistic Features ### Unique Sudanese Features | Feature | Arabic | Meaning | MT Impact | |---------|--------|---------|-----------| | يا زول | ya zol | "hey man" | High - unique vocative | | حي- | hay- | future prefix | High - unique morphology | | يتعرس | yit'arris | gets married | High - unique verb | | حتة | hita | room | Medium - context-dependent | ### Features Shared with Egyptian (Confusion Risk) | Feature | Shared Meaning | Confusion Potential | |---------|----------------|---------------------| | دي | "this" | High | | عايز | "want" | High | | مش | "not" | Medium | ## Citation ```bibtex @dataset{mihaysi2026sudanese_mt_benchmark, title = {Sudanese Arabic Machine Translation Benchmark}, author = {Mihaysi, Aamer}, year = {2026}, publisher = {HuggingFace}, note = {Addresses gap identified in Alabdullah et al. (2025)} } ``` ## References - Alabdullah, A., Han, L., & Lin, C. (2025). Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation. arXiv:2507.20301. - Beidas, A., et al. (2025). Cross-dialectal Arabic translation: comparative analysis on large language models. Frontiers in Artificial Intelligence. ## Related Datasets - [O96a/sudanese-arabic-dialect-benchmark](https://huggingface.co/datasets/O96a/sudanese-arabic-dialect-benchmark) - Dialect identification benchmark - [O96a/opus-mt-arabic-benchmark-2026-03-28](https://huggingface.co/datasets/O96a/opus-mt-arabic-benchmark-2026-03-28) - Arabic MT benchmark ## License Creative Commons Attribution 4.0 (CC-BY-4.0)