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 and the github