---
license: cc-by-nc-4.0
dataset_info:
  features:
  - name: image
    dtype: image
  - name: world_name
    dtype: string
  - name: character_name
    dtype: string
  - name: character_scale
    dtype: float64
  - name: camera_yaw
    dtype: int64
  - name: character_texture
    dtype: string
  splits:
  - name: train
    num_bytes: 82030062942.72
    num_examples: 215040
  download_size: 84628407574
  dataset_size: 82030062942.72
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

## PUG Animals
The PUG: Animals dataset contains 215,040 pre-rendered images based on Unreal-Engine using 70 animal assets, 64 environments, 3 sizes, 4 textures, under 4 camera orientations. 
It was designed with the intent to create a dataset with variation factors available. Inspired by research on out-of-distribution generalization, PUG: Animals allows one to precisely control distribution shifts between training and testing which can provide better insight on how a deep neural network generalizes on held out variation factors.

## LICENSE
The datasets are distributed under the CC-BY-NC, with the addenda that they should not be used to train Generative AI models.

## Citing PUG
If you use one of the PUG datasets, please cite:
```
@misc{bordes2023pug,
      title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning}, 
      author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos},
      year={2023},
      eprint={2308.03977},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```

## To learn more about the PUG datasets:
Please visit the [website](https://pug.metademolab.com/) and the [github](https://github.com/facebookresearch/PUG)