Update README.md

README.md

@@ -9,7 +9,7 @@ language:
 <!-- Provide a longer summary of what this dataset is. -->
 [FinePDFs](https://huggingface.co/datasets/HuggingFaceFW/finepdfs) is the largest publicly available corpus sourced exclusively from PDFs, containing about 3 trillion tokens across 475 million documents in 1733 languages.
 
-Here we provide the Romanian split of FinePDFs test set, prepared for OCR: pairs of images (pages) and extracted text. This dataset is used as a benchmark and is part of the evaluation protocol for Romanian VLMs proposed in *"Înțelegi românește?" A Recipe for Romanian Vision-Language Models* ([Masala et al., 2026](https://arxiv.org/abs/2605.31401))
+Here we provide the Romanian split of FinePDFs test set, prepared for OCR: pairs of images (pages) and extracted text. This dataset is used as a benchmark and is part of the evaluation protocol for Romanian VLMs proposed in *"Înțelegi românește?" A Recipe for Romanian Vision-Language Models* ([Masala et al., 2026](https://arxiv.org/abs/2605.31401)).
 
 
 ## Citation
@@ -28,13 +28,14 @@ Here we provide the Romanian split of FinePDFs test set, prepared for OCR: pairs
 ```
 
 ```bibtext
-@misc{masala2026inctelegiromanecstereciperomanian,
-      title={"\^{I}n\c{t}elegi Rom\^ane\c{s}te?'' A Recipe for Romanian Vision-Language Models}, 
+@misc{masala2026intelegi,
+      title={``\^{I}n\c{t}elegi Rom\^{a}ne\c{s}te?'' A Recipe for Romanian Vision-Language Models},
       author={Mihai Masala and Marius Leordeanu and Mihai Dascalu and Traian Rebedea},
       year={2026},
       eprint={2605.31401},
       archivePrefix={arXiv},
       primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2605.31401}, 
+      url={https://arxiv.org/abs/2605.31401},
 }
+
 ```