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TalBarami/msd_sprites

MSD Sprites Dataset Attribution The Multi-factor Sequential Disentanglement benchmark includes a modified variant of the Sprites dataset, adapted to support sequential multi-factor disentanglement. Original repository:https://github.com/YingzhenLi/Sprites Reference paper:Y. Li, J. Yu, C. Zhang, C. Gan.Disentangled Sequential Autoencoder, ICML 2018.https://arxiv.org/abs/1803.02991 @inproceedings{li2018disentangle, title = {Disentangled Sequential Autoencoder}, author =… See the full description on the dataset page: https://huggingface.co/datasets/TalBarami/msd_sprites.

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MSD Sprites Dataset Attribution

The Multi-factor Sequential Disentanglement benchmark includes a modified variant of the Sprites dataset, adapted to support sequential multi-factor disentanglement.

—Original repository: https://github.com/YingzhenLi/Sprites

—Reference paper: Y. Li, J. Yu, C. Zhang, C. Gan. Disentangled Sequential Autoencoder, ICML 2018. https://arxiv.org/abs/1803.02991

@inproceedings{li2018disentangle,
  title = {Disentangled Sequential Autoencoder},
  author = {Li, Yingzhen and Mandt, Stephan},
  booktitle = {International Conference on Machine Learning},
  year = {2018}
}

⚠ Note: The Sprites dataset does not have an explicit open-source license. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above paper when using this dataset in your work.