--- dataset_info: features: - name: question_id dtype: string - name: image dtype: image - name: question dtype: string - name: answers sequence: string - name: category dtype: string splits: - name: val num_bytes: 2097998373.0 num_examples: 4319 - name: test num_bytes: 3982325314.0 num_examples: 8000 download_size: 6050372614 dataset_size: 6080323687.0 --- # Dataset Card for "VizWiz-VQA"

# Large-scale Multi-modality Models Evaluation Suite > Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval` 🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab) # This Dataset This is a formatted version of [VizWiz-VQA](https://vizwiz.org/tasks-and-datasets/vqa/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models. ``` @inproceedings{gurari2018vizwiz, title={Vizwiz grand challenge: Answering visual questions from blind people}, author={Gurari, Danna and Li, Qing and Stangl, Abigale J and Guo, Anhong and Lin, Chi and Grauman, Kristen and Luo, Jiebo and Bigham, Jeffrey P}, booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition}, pages={3608--3617}, year={2018} } ``` [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)