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PGM (Procedurally Generated Matrices (PGM))

Introduced by Barrett et al. in Measuring abstract reasoning in neural networks

PGM dataset serves as a tool for studying both abstract reasoning and generalisation in models. Generalisation is a multi-faceted phenomenon; there is no single, objective way in which models can or should generalise beyond their experience. The PGM dataset provides a means to measure the generalization ability of models in different ways, each of which may be more or less interesting to researchers depending on their intended training setup and applications.

Source: Measuring abstract reasoning in neural networks

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Source: Barrett et al.

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