---
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)