ToM-in-AMC is a novel NLP benchmark, Short for Theory-of-Mind meta-learning Assessment with Movie Characters. The benchmark consists of 1,000 parsed movie scripts for this purpose, each corresponding to a few-shot character understanding task.

Source: Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

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