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README.md
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</p>
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<p align="center">
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<a href="https://
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<a href="https://mbzuai-nlp.github.io/UrduMMLU/"><img src="https://img.shields.io/badge/Project-Website-1F6FEB?logo=googlechrome&logoColor=white" alt="Project Website"></a>
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<a href="https://github.com/mbzuai-nlp/UrduMMLU"><img src="https://img.shields.io/badge/GitHub-Code-181717?logo=github&logoColor=white" alt="GitHub"></a>
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</p>
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- `length_tier` is `null` for items where a length bucket was not assigned.
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- Coverage is weighted toward humanities and the SSC levels, mirroring the
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availability of native Urdu exam content.
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- A small subset of questions in the Islamic Studies category contain Quranic/Classical Arabic text, reflecting the Pakistani Urdu-medium curriculum where original Arabic sources are commonly used. These questions constitute only a small fraction of the overall benchmark and do not materially change its characterization as an Urdu educational benchmark.
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## Citation
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```bibtex
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@misc{tabassum2026urdummlumassivemultitaskbenchmark,
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title={UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding},
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author={Ahmer Tabassum and Sarfraz Ahmad and Hasan Iqbal and Owais Aijaz and Momina Ahsan and Preslav Nakov},
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year={2026},
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eprint={2606.07167},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2606.07167},
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}
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```
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</p>
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<p align="center">
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<a href="https://arxiv.org/abs/2606.07167"><img src="https://img.shields.io/badge/Paper-arXiv-B31B1B?logo=arxiv&logoColor=white" alt="Paper"></a>
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<a href="https://mbzuai-nlp.github.io/UrduMMLU/"><img src="https://img.shields.io/badge/Project-Website-1F6FEB?logo=googlechrome&logoColor=white" alt="Project Website"></a>
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<a href="https://github.com/mbzuai-nlp/UrduMMLU"><img src="https://img.shields.io/badge/GitHub-Code-181717?logo=github&logoColor=white" alt="GitHub"></a>
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</p>
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- `length_tier` is `null` for items where a length bucket was not assigned.
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- Coverage is weighted toward humanities and the SSC levels, mirroring the
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availability of native Urdu exam content.
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## Citation
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```bibtex
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@misc{tabassum2026urdummlumassivemultitaskbenchmark,
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title={UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding},
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author={Ahmer Tabassum and Sarfraz Ahmad and Hasan Iqbal and Owais Aijaz and Momina Ahsan and Preslav Nakov},
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year={2026},
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eprint={2606.07167},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2606.07167},
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}
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```
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