Error code:   ConfigNamesError
Exception:    AttributeError
Message:      'str' object has no attribute 'items'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 690, in get_module
                  config_name: DatasetInfo.from_dict(dataset_info_dict)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 284, in from_dict
                  return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "<string>", line 20, in __init__
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 170, in __post_init__
                  self.features = Features.from_dict(self.features)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1983, in from_dict
                  obj = generate_from_dict(dic)
                        ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1564, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1564, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1564, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                                                                           ^^^^^^^^^
              AttributeError: 'str' object has no attribute 'items'

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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

@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 - Dialect identification benchmark
O96a/opus-mt-arabic-benchmark-2026-03-28 - Arabic MT benchmark

License

Creative Commons Attribution 4.0 (CC-BY-4.0)

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Paper for O96a/sudanese-mt-benchmark

Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation

Paper • 2507.20301 • Published Jul 27, 2025