Datasets › ShapeWorld
ShapeWorld
ShapeWorld is a new evaluation methodology and framework for multimodal deep learning models, with a focus on formal-semantic style generalization capabilities. In this framework, artificial data is automatically generated according to predefined specifications. This controlled data generation makes it possible to introduce previously unseen instance configurations during evaluation, which consequently require the system to recombine learned concepts in novel ways.
Source: ShapeWorld - A new test methodology for multimodal language understanding Image Source: ShapeWorld - A new test methodology for multimodal language understanding
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 23 papers 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
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- ShapeWorld
1 variant name, as the archive lists them.
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