Datasets:
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---
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) |