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metadata
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 and the github