Datasets:

OpenLLM-Ro
/

ro_sft_flickr30k_cap

license: cc-by-nc-4.0
language:
  - ro
dataset_info:
  features:
    - name: id
      dtype: string
    - name: images
      sequence: image
    - name: captions
      sequence: string
    - name: messages
      list:
        - name: role
          dtype: string
        - name: content
          dtype: string
  splits:
    - name: train
      num_bytes: 995373861.754
      num_examples: 25426
  download_size: 999889692
  dataset_size: 995373861.754
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Description

Flickr30k is a dataset with images that contain multiple crowd-sourced detailed captions.

Here we host the Romanian translation of the Flickr30k dataset (captioning task), translated by Dima and Cercel. 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{young2014image,
  title={From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions},
  author={Young, Peter and Lai, Alice and Hodosh, Micah and Hockenmaier, Julia},
  journal={Transactions of the Association for Computational Linguistics},
  volume={2},
  pages={67--78},
  year={2014},
  publisher={MIT Press}
}

@misc{dima2025parameterefficientmultimodalinstruction,
      title={Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models}, 
      author={George-Andrei Dima and Dumitru-Clementin Cercel},
      year={2025},
      eprint={2512.14926},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2512.14926}, 
}

@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},
}