---
title: textVQA_groundingtask_bbox
canonical_url: "https://www.modelscope.cn/datasets/Tina12345/textVQA_groundingtask_bbox"
md_url: "https://www.modelscope.cn/datasets/Tina12345/textVQA_groundingtask_bbox.md"
repository: Tina12345/textVQA_groundingtask_bbox
chinese_name: "大模型目标检测微调数据集"
last_updated: 2025-05-08
license: "Apache License 2.0"
storage_size: "792 MB"
downloads: 1731
stars: 9
---

# textVQA_groundingtask_bbox

> textVQA_groundingtask_bbox - Tina12345 在 ModelScope 开源的数据集。TextVQA validation set with grounding truth bounding box

Tina12345/textVQA_groundingtask_bbox 是 ModelScope 魔搭社区上的数据集，存储大小 792 MB，采用 Apache License 2.0 许可。

- **Repository**: Tina12345/textVQA_groundingtask_bbox
- **License**: Apache License 2.0
- **Storage size**: 792 MB
- **Downloads**: 1731
- **Stars**: 9
- **Last updated**: 2025-05-08

Source: https://www.modelscope.cn/datasets/Tina12345/textVQA_groundingtask_bbox

---

# TextVQA validation set with grounding truth bounding box

The dataset used in the paper [MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs](https://arxiv.org/pdf/2502.17422) for studying MLLMs' attention patterns.

The dataset is sourced from [TextVQA](https://textvqa.org/dataset/) and annotated **manually** with ground-truth bounding boxes. 

We consider questions with a single area of interest in the image so that 4370 out of 5000 samples are kept.

## Citation

If you find our paper and code useful for your research and applications, please cite using this BibTeX:

```
@article{zhang2025mllms,
  title={MLLMs know where to look: Training-free perception of small visual details with multimodal LLMs},
  author={Zhang, Jiarui and Khayatkhoei, Mahyar and Chhikara, Prateek and Ilievski, Filip},
  journal={arXiv preprint arXiv:2502.17422},
  year={2025}
}
```