---
title: textvqa
canonical_url: "https://www.modelscope.cn/datasets/lmms-lab/textvqa"
md_url: "https://www.modelscope.cn/datasets/lmms-lab/textvqa.md"
repository: lmms-lab/textvqa
last_updated: 2024-11-21
license: "Apache License 2.0"
storage_size: "7.5 GB"
downloads: 10653
stars: 1
---

# textvqa

> textvqa - lmms-lab 在 ModelScope 开源的数据集。Large-scale Multi-modality Models Evaluation Suite

lmms-lab/textvqa 是 ModelScope 魔搭社区上的数据集，存储大小 7.5 GB，采用 Apache License 2.0 许可。

- **Repository**: lmms-lab/textvqa
- **License**: Apache License 2.0
- **Storage size**: 7.5 GB
- **Downloads**: 10653
- **Stars**: 1
- **Last updated**: 2024-11-21

Source: https://www.modelscope.cn/datasets/lmms-lab/textvqa

---

<p align="center" width="100%">
<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png"  width="100%" height="80%">
</p>

# 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 [TextVQA](https://textvqa.org/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@inproceedings{singh2019towards,
  title={Towards vqa models that can read},
  author={Singh, Amanpreet and Natarajan, Vivek and Shah, Meet and Jiang, Yu and Chen, Xinlei and Batra, Dhruv and Parikh, Devi and Rohrbach, Marcus},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={8317--8326},
  year={2019}
}
```