G_174.mp4 ❲2K❳

Traditional datasets often provide only a final answer, which can lead to models "short-circuiting" the reasoning process. In contrast, the VBVR framework generates a four-component output for every task. For , these components include an initial state image, a text prompt, a final target state, and the critical ground_truth.mp4 file. This video file provides a "complete reasoning path" or solution trajectory, allowing models to observe the sequential logic required to sort objects by a specific geometric property like circumference. 2. Algorithmic Precision and Diversity

Placing circles in complex or overlapping patterns to challenge visual perception. g_174.mp4

Creating minimal differences in circumference to test the precision of the model's reasoning. 3. Standardisation and Scalability Traditional datasets often provide only a final answer,