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README.md

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+## PUG Animals
+The PUG: Animals dataset contains 215,040 pre-rendered images 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)