Omkar2118/datasets huggingface dataset:
vqa-nle-llava

VQA NLE synthetic dataset, made with LLaVA-1.5 using features from GQA dataset.
Total number of unique datas: 66684 


## Languages

eng

## Supported Tasks

Question Answering

## Dataset Usage
```
from datasets import load_dataset
dset = datasets.load_dataset("patrickamadeus/vqa-nle-llava", name='<CONFIG_NAME>', trust_remote_code=True)
```

## Dataset Version

Source: 1.0.1. Date: 2024.09.25.

## Dataset License

CC-BY 4.0

## Citation

If you are using the **VQA NLE LLaVA** dataloader in your work, please cite the following:
```
@misc{irawan2024efficientrobustvqanledata,
      title={Towards Efficient and Robust VQA-NLE Data Generation with Large Vision-Language Models}, 
      author={Patrick Amadeus Irawan and Genta Indra Winata and Samuel Cahyawijaya and Ayu Purwarianti},
      year={2024},
      eprint={2409.14785},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2409.14785}, 
}
```

Introducing paper: Towards Efficient and Robust VQA-NLE Data Generation with Large Vision-Language Models