Update README.md

README.md

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 ---
+license: odc-by
+language:
+- ro
 dataset_info:
   features:
   - name: id
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   - split: train
     path: data/train-*
 ---
+
+
+
+### Dataset Description
+
+<!-- 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 training set, prepared for OCR: pairs of images (pages) and extracted text. This dataset is part of the instruction finetune 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
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+```bibtex
+@misc{kydlicek2025finepdfs,
+      title={FinePDFs}, 
+      author={Hynek Kydl{\'\i}{\v{c}}ek and Guilherme Penedo and Leandro von Werra},
+      year={2025},
+      publisher = {Hugging Face},
+      journal = {Hugging Face repository},
+      howpublished = {\url{https://huggingface.co/datasets/HuggingFaceFW/finepdfs}}
+}
+```
+
+```bibtext
+@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},
+}
+```