---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: answers
    sequence: string
  splits:
  - name: val2014
    num_bytes: 1611077750.72
    num_examples: 3260
  download_size: 1591120019
  dataset_size: 1611077750.72
configs:
- config_name: default
  data_files:
  - split: val2014
    path: data/val2014-*
---

# Dataset Card for OK-VQA_IT


## Dataset description

This is a formatted version of [OK-VQA](https://okvqa.allenai.org/) translated to the Italian language using [MADLAD400](https://huggingface.co/google/madlad400-3b-mt).

## Citation

If you use this dataset in your research you should cite both of the following:

```
@inproceedings{musacchioLLaVANDiNO,
  title={LLaVA-NDiNO: Empowering LLMs with Multimodality for the Italian Language},
  author={Musacchio, Elio and Siciliani, Lucia and Basile, Pierpaolo and Semeraro, Giovanni},
  booktitle={Proceedings of the Eighth Workshop on Natural Language for Artificial Intelligence (NL4AI 2024) co-located with 23th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2024)},
  year={2024}
}

@InProceedings{okvqa,
  author = {Kenneth Marino and Mohammad Rastegari and Ali Farhadi and Roozbeh Mottaghi},
  title = {OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge},
  booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
} 
```