metadata
license: cc-by-nc-4.0
language:
- ro
dataset_info:
features:
- name: id
dtype: string
- name: images
sequence: image
- name: label
dtype: string
- name: count
dtype: int64
- name: points
list:
- name: x
dtype: float64
- name: 'y'
dtype: float64
- name: messages
list:
- name: role
dtype: string
- name: content
dtype: string
splits:
- name: train
num_bytes: 27862866768.705
num_examples: 187581
download_size: 15054637801
dataset_size: 27862866768.705
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Description
PixmoPoints is a dataset of images paired with referring expressions and points marking the locations the referring expression refers to in the image.
Here we provide the Romanian translation of the PixmoPoints 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
@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},
}