| --- |
| license: cc-by-nc-4.0 |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: world_name |
| dtype: string |
| - name: character_name |
| dtype: string |
| - name: character2_name |
| dtype: string |
| - name: character1_pos |
| dtype: string |
| - name: character2_pos |
| dtype: string |
| - name: character_texture |
| dtype: string |
| - name: character2_texture |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 17215863251.4 |
| num_examples: 43560 |
| download_size: 17185543222 |
| dataset_size: 17215863251.4 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| ## PUG: SPAR |
| PUG: SPAR (Scene, Position, Attribute, Relation) contains 43,560 test samples, with image-caption pairs that evaluate VLMs scene and object recognition, as well as inter-object and object-attribute relationships respectively. We utilize scenes containing up to two objects in 4 unique spatial relationships and 4 different texture variations. |
|
|
| ## 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) |
