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README.md

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 This diagnostic dataset is specifically designed to evaluate the visual logical learning capabilities of machine learning models.
 It offers a seamless integration of visual and logical challenges, providing 2D images of complex visual trains,
-where the classification is derived from underlying logical rules.
+where the classification is derived from rule-based logic.
 The fundamental idea of V-LoL remains to integrate the explicit logical learning tasks of classic symbolic AI benchmarks into visually complex scenes,
 creating a unique visual input that retains the challenges and versatility of explicit logic.
 In doing so, V-LoL bridges the gap between symbolic AI challenges and contemporary deep learning datasets offering various visual logical learning tasks