Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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ArabCulture 🇦🇪🇵🇸🇪🇬🇸🇦🇾🇪🇯🇴🇱🇧🇸🇾🇸🇩🇲🇦🇩🇿🇹🇳🇱🇾

Abdelrahman Sadallah and Junior Cedric Tonga and Khalid Almubarak and Saeed Almheiri and Farah Atif and Cahtrine Qwaider and Karima Kadaoui and Sara Shatnawi and Yaser Alesh and Fajri Koto

MBZUAI, SDAIA, Al-Balqa Applied University, Khalifa University

ArabCulture is a culturally grounded commonsense reasoning dataset in Modern Standard Arabic (MSA), covering 13 Arab countries across the Gulf, Levant, North Africa, and the Nile Valley. The dataset contains 3,482 multiple-choice instances that test cultural commonsense reasoning in real-world daily life situations.

Logo

Dataset Summary

Despite the rise of Arabic LLMs, evaluation on culturally relevant reasoning has been limited. ArabCulture fills this gap with questions authored and validated by native speakers, reflecting social norms, traditions, and everyday knowledge in Arabic societies. Each instance presents a short scenario followed by three plausible sentence completions, only one of which is culturally accurate.

Language: Modern Standard Arabic (MSA)
Countries Covered: 13 (KSA, UAE, Yemen, Jordan, Lebanon, Syria, Palestine, Egypt, Sudan, Morocco, Algeria, Tunisia, Libya)
Domains: 12 (e.g., food, holidays, parenting)
Subtopics: 54
Instances: 3,482
Task Type: Multiple Choice (MCQ) and Sentence Completion
Cultural Context: Region and country-specific

Supported Tasks and Leaderboards

Commonsense Reasoning
Cultural Knowledge Assessment
Zero-shot Evaluation of LLMs

This dataset can be used to benchmark how well Arabic or multilingual models reason within culturally specific contexts.

Citation

@misc{sadallah2025arabculture,
  title={Commonsense Reasoning in Arab Culture},
  author={Abdelrahman Sadallah and Junior Cedric Tonga and Khalid Almubarak and Saeed Almheiri and Farah Atif and Cahtrine Qwaider and Karima Kadaoui and Sara Shatnawi and Yaser Alesh and Fajri Koto},
  year={2025},
  eprint={2502.12788},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}

License

The ArabCulture dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Contact

For questions or contributions, contact:

Abdelrahman Sadallah ([email protected])
Fajri Koto ([email protected])

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Total file size:

1.1 MB

Paper for MBZUAI/ArabCulture

Commonsense Reasoning in Arab Culture

Paper • 2502.12788 • Published Feb 18, 2025