GLUCOSE

Introduced by Mostafazadeh et al. in GLUCOSE: GeneraLized and COntextualized Story Explanations

GLUCOSE is a large-scale dataset of implicit commonsense causal knowledge, encoded as causal mini-theories about the world, each grounded in a narrative context. To construct GLUCOSE, we drew on cognitive psychology to identify ten dimensions of causal explanation, focusing on events, states, motivations, and emotions. Each GLUCOSE entry includes a story-specific causal statement paired with an inference rule generalized from the statement.

Source: GLUCOSE: GeneraLized and COntextualized Story Explanations

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