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README.md

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+license: cc-by-nc-4.0
+language:
+- ro
 dataset_info:
   features:
   - name: id
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     path: data/train-*
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+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+[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
+
+<!-- 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{masala2026inctelegiromanecstereciperomanian,
+      title={"\^{I}n\c{t}elegi Rom\^ane\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}, 
+}
+```