VizWiz-VQA

# Dataset Card for "VizWiz-VQA"

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# 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)

# 「VizWiz-VQA」数据集卡片

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<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%">
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# 大规模多模态模型评测套件

> 借助`lmms-eval`加速大规模多模态模型（Large-scale Multi-modality Models, LMMs）的研发

🏠 [主页](https://lmms-lab.github.io/) | 📚 [文档](docs/README.md) | 🤗 [Huggingface数据集](https://huggingface.co/lmms-lab)

## 本数据集

本数据集为[VizWiz-VQA](https://vizwiz.org/tasks-and-datasets/vqa/)的格式化版本，被集成于我们的`lmms-eval`评测流程中，可实现大规模多模态模型的一键评测。

@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}
}

[需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

搜集汇总

背景与挑战

背景概述

VizWiz-VQA是一个用于评估大规模多模态模型的数据集，源自帮助盲人回答视觉问题的VizWiz Grand Challenge项目。该数据集采用Apache 2.0许可，大小为6.05GB，最新更新于2024年11月。