Update README.md

README.md

@@ -40,3 +40,25 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+## PUG ImageNet
+The PUG: ImageNet dataset contains 88,328 pre-rendered images based on Unreal Engine using 724 assets representing 151 ImageNet classes with 64 environments, 7 sizes, 9 textures, 18 different camera orientations, 18 different character orientations and 7 light intensities. In contrast to PUG: Animals, PUG: ImageNet was created by varying only a single factor at a time (which explains the lower number of images than PUG: Animals despite using more factors). The main purpose of this dataset is to provide a novel, useful benchmark, paralleling ImageNet, but for fine-grained evaluation of the robustness of image classifiers, along several factors of variation.
+
+## 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)