l3cube-pune/IndicQuest-v2

IndicQuest v2

A gold-standard multilingual question-answering benchmark for evaluating the India-specific factual knowledge of Large Language Models. 3,471 curriculum-grounded English question–answer pairs across nine domains, translated into 19 Indic languages: 69,420 parallel pairs across 20 languages.

More details can be found in our paper.

Dataset structure

One CSV per language, named <language>.csv (english.csv, hindi.csv, marathi.csv, …). Every file has the same 3,471 rows in the same order, so the nth row of any file is the translation of the nth row of english.csv.

Column	Description
question	The question, in the file's language
answer	Gold answer, one to five words
Domain	One of nine domains (see below)

Domains

Domain	Pairs
Culture	534
History	510
Geography	499
Law	494
Political Science	450
Science	325
Sports	273
Art	233
Commercial Studies	153
Total	3,471

Languages

English plus Assamese, Bengali, Dogri, Gujarati, Hindi, Kannada, Konkani, Maithili, Malayalam, Marathi, Meitei (Manipuri), Nepali, Odia, Punjabi, Sanskrit, Sindhi, Tamil, Telugu, Urdu.

Example

question	answer	Domain
Which apex body was set up in 1982 to coordinate all institutions involved in the rural financing system?	NABARD	Commercial Studies
Which river's water is primarily harnessed by the Ukai project in India?	Tapi river	Geography
Which is the oldest football tournament in India, established by Sir Mortimer Durand and held from 1888 in Simla?	Durand Cup	Sports

Usage

from datasets import load_dataset

english = load_dataset("l3cube-pune/IndicQuest-v2", data_files="english.csv")
hindi   = load_dataset("l3cube-pune/IndicQuest-v2", data_files="hindi.csv")

Citing

@article{jain2026l3cube,
  title={L3Cube-IndicQuest v2: A Large-Scale Multilingual Benchmark for Evaluating Factual Knowledge of Large Language Models Across Indic Languages},
  author={Jain, Rinit and Mahajan, Tirthraj and Joshi, Advait and Joshi, Raviraj},
  journal={arXiv preprint arXiv:2608.15535},
  year={2026}
}