| --- |
| license: odc-by |
| language: |
| - ro |
| --- |
| |
| ### 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. |
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| 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)). |
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|
| ## 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}, |
| } |
| |
| ``` |
