metadata
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: 32697918153.265
num_examples: 624609
download_size: 27261697373
dataset_size: 32697918153.265
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
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,
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}
}
@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},
}