lmms-lab/Ferret-Bench

---
dataset_info:
features:
- name: question_id
dtype: string
- name: question
dtype: string
- name: image
dtype: image
- name: image_name
dtype: string
- name: category
dtype: string
- name: context
dtype: string
- name: gpt_answer
dtype: string
splits:
- name: test
num_bytes: 19750932.0
num_examples: 120
download_size: 11713676
dataset_size: 19750932.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---

<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 [FerretBench](https://github.com/apple/ml-ferret). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.

```
@article{you2023ferret,
title={Ferret: Refer and Ground Anything Anywhere at Any Granularity},
author={You, Haoxuan and Zhang, Haotian and Gan, Zhe and Du, Xianzhi and Zhang, Bowen and Wang, Zirui and Cao, Liangliang and Chang, Shih-Fu and Yang, Yinfei},
journal={arXiv preprint arXiv:2310.07704},
year={2023}
}
```

原始信息汇总

数据集概述

数据集信息

特征

• question_id: 字符串类型
• question: 字符串类型
• image: 图像类型
• image_name: 字符串类型
• category: 字符串类型
• context: 字符串类型
• gpt_answer: 字符串类型

数据分割

• test: 包含120个样本，总大小为19750932字节

数据大小

• 下载大小: 11713676字节
• 数据集大小: 19750932字节

配置

• default: 包含测试数据文件，路径为data/test-*

引用

@article{you2023ferret, title={Ferret: Refer and Ground Anything Anywhere at Any Granularity}, author={You, Haoxuan and Zhang, Haotian and Gan, Zhe and Du, Xianzhi and Zhang, Bowen and Wang, Zirui and Cao, Liangliang and Chang, Shih-Fu and Yang, Yinfei}, journal={arXiv preprint arXiv:2310.07704}, year={2023} }