Datasets › GeBiD

GeBiD (Geometric shapes Bimodal Dataset)

Introduced by Gabriela Sejnova et al. in Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit7 Sep 2022 archive 2025-07-28

We provide a custom synthetic bimodal dataset, called GeBiD, designed specifically for the comparison of the joint- and cross-generative capabilities of Multimodal Variational Autoencoders. It comprises RGB images of geometric primitives and textual descriptions. The dataset offers 5 levels of difficulty (based on the number of attributes) to find the minimal functioning scenario for each model. Moreover, its rigid structure enables automatic qualitative evaluation of the generated samples.

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

License archive 2025-07-28

CC BY-NC-SA 4.0 license

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • GeBiD

1 variant name, as the archive lists them.

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