TextWorld KG

Introduced by Zelinka et al. in Building Dynamic Knowledge Graphs from Text-based Games

TextWorld KG is a dynamic Knowledge Graph (KG) extraction dataset. It is based on a set of text-based games generated using. That framework allows to extract the underlying partial KG for every state, i.e., the subgraph that represents the agent’s partial knowledge of the world – what it has observed so far. All games share the same overarching theme: the agent finds itself hungry in a simple modern house with the goal of gathering ingredients and cooking a meal.

Source: https://arxiv.org/abs/1910.09532

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