CoolFace
Datasetpublic

surogate/ro_sft_llava_mix

Dataset Description LlavaMix is a dataset constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability. Here we provide the Romanian translation of the LlavaMix dataset, translated 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 @article{liu2023visual… See the full description on the dataset page: https://huggingface.co/datasets/surogate/ro_sft_llava_mix.

sourceHugging Facecc-by-nc-4.0updated 28d agoView on Hugging Face
0likes214downloads
Dataset Card

Dataset Description

<!-- Provide a longer summary of what this dataset is. --> LlavaMix is a dataset constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability.

Here we provide the Romanian translation of the LlavaMix dataset, translated 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{liu2023visual,
  title={Visual instruction tuning},
  author={Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae},
  journal={Advances in neural information processing systems},
  volume={36},
  pages={34892--34916},
  year={2023}
}
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},
}