--- 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](https://huggingface.co/datasets/allenai/pixmo-points) 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](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 @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}, } ```