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-vajjala-2026-mata,
title = "MATA (మాట): Mindful Assessment of the Telugu Abilities of Large Language Models",
author = "Kranti, Chalamalasetti and
Vajjala, Sowmya",
booktitle = "Proceedings of the 2026 International Conference on Language Resources and Evaluation (LREC 2026)",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
url = "https://arxiv.org/abs/2508.13526",
}