---
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}
}
```