metadata
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
num_examples: 4319
- name: test
num_bytes: 3982325314
num_examples: 8000
download_size: 6050372614
dataset_size: 6080323687
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 | 📚 Documentation | 🤗 Huggingface Datasets
This Dataset
This is a formatted version of VizWiz-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}
}