Update README.md

README.md

@@ -43,6 +43,8 @@ configs:
 
 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](http://arxiv.org/abs/2608.15535).
+
 ## 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 *n*th row of any file is the translation of the *n*th row of `english.csv`.
@@ -86,4 +88,16 @@ English plus Assamese, Bengali, Dogri, Gujarati, Hindi, Kannada, Konkani, Maithi
 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")
+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}
+}
+```