|
--- |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: eval |
|
path: data/eval-* |
|
- split: extra |
|
path: data/extra-* |
|
dataset_info: |
|
features: |
|
- name: uid |
|
dtype: int64 |
|
- name: image |
|
dtype: image |
|
- name: subject |
|
dtype: string |
|
splits: |
|
- name: eval |
|
num_bytes: 4414578.0 |
|
num_examples: 154 |
|
- name: extra |
|
num_bytes: 1779741.0 |
|
num_examples: 66 |
|
download_size: 6179822 |
|
dataset_size: 6194319.0 |
|
--- |
|
# Dataset Card |
|
|
|
|
|
Dataset in [ImagenHub](arxiv.org/abs/2310.01596). |
|
|
|
|
|
# Citation |
|
|
|
Please kindly cite our paper if you use our code, data, models or results: |
|
|
|
``` |
|
@article{ku2023imagenhub, |
|
title={ImagenHub: Standardizing the evaluation of conditional image generation models}, |
|
author={Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen}, |
|
journal={arXiv preprint arXiv:2310.01596}, |
|
year={2023} |
|
} |
|
``` |
