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path: data/train-*
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- split: train
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path: data/train-*
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---
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## PUG: SPAR
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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.
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## LICENSE
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The datasets are distributed under the CC-BY-NC, with the addenda that they should not be used to train Generative AI models.
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## Citing PUG
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If you use one of the PUG datasets, please cite:
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```
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@misc{bordes2023pug,
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title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning},
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author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos},
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year={2023},
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eprint={2308.03977},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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## To learn more about the PUG datasets:
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Please visit the [website](https://pug.metademolab.com/) and the [github](https://github.com/facebookresearch/PUG)
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