Datasets › Simple Shapes Dataset

Simple Shapes Dataset

Introduced by Benjamin Devillers et al. in Semi-supervised Multimodal Representation Learning through a Global Workspace27 Jun 2023 archive 2025-07-28

It consists of 32x32 pixel images of shapes with multiple attributes (size, location, rotation, color). Each image is also paired with its ground truth information (attributes), and a natural language description (English) of the image.

The dataset is composed of: a train set of 500,000 samples, a val and a test set of 1000 samples each.

It also contains already processed 12-dimensional visual features (from a VAE), and presaved BERT features of the text descriptions.

Link to dataset: https://zenodo.org/record/8112838

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

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

CC-BY

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Simple Shapes Dataset

1 variant name, as the archive lists them.

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