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---
configs:
- config_name: default
data_files:
- split: eval
path: data/eval-*
- split: DrawBench_trimmed
path: data/DrawBench_trimmed-*
- split: DiffusionDB_trimmed
path: data/DiffusionDB_trimmed-*
- split: Realism
path: data/Realism-*
- split: ABC_trimmed
path: data/ABC_trimmed-*
dataset_info:
features:
- name: prompt
dtype: string
- name: category
dtype: string
- name: source
dtype: string
- name: uid
dtype: int32
splits:
- name: eval
num_bytes: 24907
num_examples: 197
- name: DrawBench_trimmed
num_bytes: 7673
num_examples: 77
- name: DiffusionDB_trimmed
num_bytes: 8173
num_examples: 40
- name: Realism
num_bytes: 5383
num_examples: 40
- name: ABC_trimmed
num_bytes: 3678
num_examples: 40
download_size: 38022
dataset_size: 49814
---
# 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 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}
}
``` |