|
--- |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: full |
|
path: data/full-* |
|
- split: eval |
|
path: data/eval-* |
|
dataset_info: |
|
features: |
|
- name: prompt |
|
dtype: string |
|
- name: subject |
|
dtype: string |
|
- name: uid |
|
dtype: int32 |
|
- name: subject_id |
|
dtype: int32 |
|
splits: |
|
- name: full |
|
num_bytes: 15084 |
|
num_examples: 215 |
|
- name: eval |
|
num_bytes: 9252 |
|
num_examples: 150 |
|
download_size: 15136 |
|
dataset_size: 24336 |
|
--- |
|
# Dataset Card |
|
|
|
|
|
Dataset in [ImagenHub](arxiv.org/abs/2310.01596). |
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|
|
|
|
# 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 and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen}, |
|
journal={arXiv preprint arXiv:2310.01596}, |
|
year={2023} |
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} |
|
``` |
