yuvalkirstain/pickapic_v1

Dataset Card for Pick-a-Pic (v1)

Dataset Summary

The Pick-a-Pic dataset was collected with the Pick-a-Pic web app and contains over half-a-million examples of human preferences over model-generated images. This dataset with URLs instead of the actual images (which makes it much smaller in size) can be found here.

See the corresponding paper Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation for more details.

If you want to download this dataset with URLs instead of images to save space, please see this version of the dataset.

Supported Tasks and Leaderboards

Task: Select preferred image in test-set.

Models	Test-Set Accuracy (%)
PickScore	70.2%
Human Expert Baseline	68.0%
HPS	66.7%
ImageReward	61.1%
CLIP-H	60.8%
Aesthetics	56.8%

Data Splits

The dataset has three main splits: train, validation, validation_unique (with one example per prompt), test, and test_unique.

Citation Information

If you find this work useful, please cite:

@inproceedings{Kirstain2023PickaPicAO,
  title={Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation},
  author={Yuval Kirstain and Adam Polyak and Uriel Singer and Shahbuland Matiana and Joe Penna and Omer Levy},
  year={2023}
}

LICENSE

MIT License

Copyright (c) 2021

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.