Datasets:
metadata
license: cc-by-4.0
task_categories:
- question-answering
language:
- en
- as
- bn
- doi
- gu
- hi
- kn
- kok
- mai
- ml
- mr
- mni
- ne
- or
- pa
- sa
- sd
- ta
- te
- ur
tags:
- indic
- factual-knowledge
- benchmark
- closed-book-qa
size_categories:
- 10K<n<100K
configs:
- config_name: english
data_files: English.csv
- config_name: hindi
data_files: Hindi.csv
- config_name: marathi
data_files: Marathi.csv
- config_name: assamese
data_files: Assamese.csv
- config_name: bengali
data_files: Bengali.csv
- config_name: dogri
data_files: Dogri.csv
- config_name: gujarati
data_files: Gujarati.csv
- config_name: kannada
data_files: Kannada.csv
- config_name: konkani
data_files: Konkani.csv
- config_name: maithili
data_files: Maithili.csv
- config_name: malayalam
data_files: Malayalam.csv
- config_name: manipuri
data_files: Manipuri.csv
- config_name: nepali
data_files: Nepali.csv
- config_name: odia
data_files: Odia.csv
- config_name: punjabi
data_files: Punjabi.csv
- config_name: sanskrit
data_files: Sanskrit.csv
- config_name: sindhi
data_files: Sindhi.csv
- config_name: tamil
data_files: Tamil.csv
- config_name: telugu
data_files: Telugu.csv
- config_name: urdu
data_files: Urdu.csv
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}
}