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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- question-answering |
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- text-generation |
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language: |
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- te |
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tags: |
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- Telugu |
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- EvalSet |
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- Culture |
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- Grammar |
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size_categories: |
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- n<1K |
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--- |
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[MATA (మాట): Mindful Assessment of the Telugu Abilities of Large Language Models](https://arxiv.org/abs/2508.13526) |
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* A new evaluation dataset specifically designed to assess a diverse spectrum of linguistic competencies in Telugu. |
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* A test suite that directly engages with Telugu-specific grammatical structures, semantic patterns, and culturally embedded language use by sourcing our questions from school grade language textbooks and higher level exams. |
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* 729 carefully curated multiple-choice and open-ended questions. |
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* Approximately 25% are multiple-choice questions and the rest are open-ended. |
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* A range of difficulty from lower grade (simpler syntax and vocabulary) through high-school texts (advanced grammar and semantics). |
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Citation: |
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``` |
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@inproceedings{kranti-vajjala-2026-mata, |
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title = "MATA (మాట): Mindful Assessment of the Telugu Abilities of Large Language Models", |
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author = "Kranti, Chalamalasetti and |
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Vajjala, Sowmya", |
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booktitle = "Proceedings of the 2026 International Conference on Language Resources and Evaluation (LREC 2026)", |
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month = may, |
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year = "2026", |
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address = "Palma, Mallorca (Spain)", |
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url = "https://arxiv.org/abs/2508.13526", |
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} |
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``` |
