  Commonsense reasoning simulates the human ability to make presumptions about
our physical world, and it is an indispensable cornerstone in building general
AI systems. We propose a new commonsense reasoning dataset based on human's
interactive fiction game playings as human players demonstrate plentiful and
diverse commonsense reasoning. The new dataset mitigates several limitations of
the prior art. Experiments show that our task is solvable to human experts with
sufficient commonsense knowledge but poses challenges to existing machine
reading models, with a big performance gap of more than 30%.
