Datasets › XYSquares
XYSquares
Synthetic dataset intended for benchmarking disentanglement frameworks.
XYSquares is adversarial in nature; the distance between any two observations in the dataset is constant when measured using a pixel-wise distance function. It is usually impossible for VAE frameworks that use pixel-wise losses to disentangle this dataset.
The dataset is constructed from 3 non-overlapping red, green and blue squares that are each 8×8 pixels in size. Each square can move along the x and y coordinates of an 8×8 grid. The resulting images are 64×64 pixels in size. With this construction the dataset has a total of 8 ground-truth factors for a total of 8⁶ = 262144 observations.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
MIT
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- XYSquares
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections