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surogate/ro_sft_cosyn

Dataset Description CoSyn is a collection of synthetic question-answer pairs about very diverse range of computer-generated images. Here we provide the Romanian translation of the CoSyn dataset (matplotlib-chart, plotly-chart and plotly-table), translated (code + data) with Seed-X-PPO. 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).… See the full description on the dataset page: https://huggingface.co/datasets/surogate/ro_sft_cosyn.

sourceHugging Facecc-by-nc-4.0updated 28d agoView on Hugging Face
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Dataset Description

<!-- Provide a longer summary of what this dataset is. --> CoSyn is a collection of synthetic question-answer pairs about very diverse range of computer-generated images.

Here we provide the Romanian translation of the CoSyn dataset (matplotlib-chart, plotly-chart and plotly-table), translated (code + data) with Seed-X-PPO. 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).

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
@article{yang2025scaling,
      title={Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation},
      author={Yang, Yue and Patel, Ajay and Deitke, Matt and Gupta, Tanmay and Weihs, Luca and Head, Andrew and Yatskar, Mark and Callison-Burch, Chris and Krishna, Ranjay and Kembhavi, Aniruddha and others},
      journal={arXiv preprint arXiv:2502.14846},
      year={2025}
}
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},
}