--- 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](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/blob/main/llava_v1_5_mix665k.json) 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](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 ```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}, } ```