Title: "Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding
Abstract: https://arxiv.org/abs/1909.03065
MC-TACO is a dataset of 13k question-answer pairs that require temporal commonsense comprehension. The dataset contains five temporal properties, (1) duration (how long an event takes), (2) temporal ordering (typical order of events), (3) typical time (when an event occurs), (4) frequency (how often an event occurs), and (5) stationarity (whether a state is maintained for a very long time or indefinitely).
WARNING: Running this task with a --limit arg will give misleading results! The
corresponding dataset is structured such that each multiple-choice-question gathered
by the authors is split into question-option pairs, where each such pair gets
siloed into an individual document for plausibility testing. Because the harness
shuffles these documents, setting --limit will likely "cut off" certain candidate
answers. This is a problem because the task's metrics require an exhaustive evaluation
of a question's options. See section 4 of the paper for details.
Homepage: https://leaderboard.allenai.org/mctaco/submissions/public
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mc_taco
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