clevr

**CLEVR** is a **synthetic diagnostics dataset for compositional language and elementary visual reasoning** — consisting of simple geometric shapes (cylinders, cubes, spheres) rendered with physics engines to test pure logical reasoning without the complexity of real-world visual noise. **What Is CLEVR?** - **Definition**: **C**ompositional **L**anguage and **E**lementary **V**isual **R**easoning. - **Visuals**: Clean, rendered scenes of geometric objects. - **Questions**: Highly complex, nested logic (e.g., "What is the shape of the object that is nearest to the tiny yellow cylinder?"). - **Goal**: Isolate reasoning ability from visual recognition difficulty. **Why CLEVR Matters** - **Solved by Modules**: Spurred the development of Neuro-Symbolic AI and Modular Networks. - **Proof of Logic**: If a model fails CLEVR, it cannot reason, even if it recognizes faces perfectly. - **Benchmarking**: Standard test for "System 2" visual thinking. **CLEVR** is **the playground for visual logic** — a simplified universe used to teach AI how to think step-by-step.