swap-uniba/OK-VQA_IT

--- 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}, } ```