|
--- |
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license: cc-by-nc-4.0 |
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dataset_info: |
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features: |
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- name: image |
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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 |
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configs: |
|
- config_name: default |
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data_files: |
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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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|
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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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|
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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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|
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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) |
