---
license: cc-by-nc-4.0
language:
- ro
dataset_info:
  features:
  - name: id
    dtype: string
  - name: images
    sequence: image
  - name: messages
    list:
    - name: role
      dtype: string
    - name: content
      dtype: string
  - name: raw_messages
    list:
    - name: role
      dtype: string
    - name: content
      dtype: string
  splits:
  - name: train
    num_bytes: 59489024163.734
    num_examples: 207074
  download_size: 44304461667
  dataset_size: 59489024163.734
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
[PixmoCapQA](https://huggingface.co/datasets/allenai/pixmo-cap-qa) is a synthetic dataset of question/answer pairs about images.


Here we provide the Romanian translation of the PixmoCapQA dataset, translated with [Seed-X-PPO](ByteDance-Seed/Seed-X-PPO-7B).
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
@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}
}
```

```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},
}
```