swap-uniba/WILD_IT

---
dataset_info:
features:
- name: image
dtype: image
- name: id
dtype: int64
- name: question
dtype: string
- name: caption
dtype: string
- name: gpt_answer
dtype: string
splits:
- name: test
num_bytes: 133083163.0
num_examples: 60
download_size: 52121131
dataset_size: 133083163.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---

# Dataset Card for WILD_IT

## Dataset description

This is a formatted version of [LLaVA-Bench](https://huggingface.co/datasets/lmms-lab/llava-bench-in-the-wild) 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}
}

@misc{liu2023improvedllava,
author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Lee, Yong Jae},
title={Improved Baselines with Visual Instruction Tuning},
publisher={arXiv:2310.03744},
year={2023},
}

@inproceedings{liu2023llava,
author = {Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae},
title = {Visual Instruction Tuning},
booktitle = {NeurIPS},
year = {2023}
}
```