TeluguLLMResearch/MATA

MATA (మాట): Mindful Assessment of the Telugu Abilities of Large Language Models

• A new evaluation dataset specifically designed to assess a diverse spectrum of linguistic competencies in Telugu.
• 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.
• 729 carefully curated multiple-choice and open-ended questions.
  • Approximately 25% are multiple-choice questions and the rest are open-ended.
  • A range of difficulty from lower grade (simpler syntax and vocabulary) through high-school texts (advanced grammar and semantics).

Citation:

@inproceedings{kranti-etal-2026-mata,
  title = {MATA: Mindful Assessment of the Telugu Abilities of Large Language Models},
  author = {Kranti, Chalamalasetti and Vajjala, Sowmya},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month = {May},
  year = {2026},
  pages = {4239--4256},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  doi = {10.63317/2qyza2xt6xac}
}