metadata
license: cc-by-nc-4.0
task_categories:
- question-answering
- text-generation
language:
- te
tags:
- Telugu
- EvalSet
- Culture
- Grammar
size_categories:
- n<1K
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}
}