---
title: GQA
canonical_url: "https://www.modelscope.cn/datasets/swift/GQA"
md_url: "https://www.modelscope.cn/datasets/swift/GQA.md"
repository: swift/GQA
last_updated: 2024-08-23
license: "Apache License 2.0"
storage_size: "28 GB"
domain:
  - configs
tasks:
  - "{config_name=val_balanced_instructions, data_files=[{split=val, path=val_balanced_instructions/val-*}]}"
downloads: 4030
stars: 0
---

# GQA

> GQA - swift 在 ModelScope 开源的数据集。Large-scale Multi-modality Models Evaluation Suite

swift/GQA 是 ModelScope 魔搭社区上的{config_name=val_balanced_instructions, data_files=[{split=val, path=val_balanced_instructions/val-*}]}数据集，涉及 configs 领域，存储大小 28 GB，采用 Apache License 2.0 许可。

- **Repository**: swift/GQA
- **License**: Apache License 2.0
- **Tasks**: {config_name=val_balanced_instructions, data_files=[{split=val, path=val_balanced_instructions/val-*}]}
- **Domain**: configs
- **Storage size**: 28 GB
- **Downloads**: 4030
- **Stars**: 0
- **Last updated**: 2024-08-23

Source: https://www.modelscope.cn/datasets/swift/GQA

---

<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 [GQA](hhttps://cs.stanford.edu/people/dorarad/gqa/about.html). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@inproceedings{hudson2019gqa,
  title={Gqa: A new dataset for real-world visual reasoning and compositional question answering},
  author={Hudson, Drew A and Manning, Christopher D},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={6700--6709},
  year={2019}
}
```