surogate/ro_sft_pixmo_aa
Dataset Description PixmoAA is an instruction-tuning dataset for vision-language models. It contains human-authored question-answer pairs about diverse images with long-form answers. Here we provide the Romanian translation of the PixmoAA 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… See the full description on the dataset page: https://huggingface.co/datasets/surogate/ro_sft_pixmo_aa.
Dataset Description
<!-- Provide a longer summary of what this dataset is. --> PixmoAA is an instruction-tuning dataset for vision-language models. It contains human-authored question-answer pairs about diverse images with long-form answers.
Here we provide the Romanian translation of the PixmoAA 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. -->
@inproceedings{deitke2025molmo,
title={Molmo and pixmo: Open weights and open data for state-of-the-art vision-language models},
author={Deitke, Matt and Clark, Christopher and Lee, Sangho and Tripathi, Rohun and Yang, Yue and Park, Jae Sung and Salehi, Mohammadreza and Muennighoff, Niklas and Lo, Kyle and Soldaini, Luca and others},
booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
pages={91--104},
year={2025}
}@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},
}