  We propose the task of Narrative Reordering(NAREOR) which involves rewriting
a given story in a different narrative order while preserving its plot,
semantic, and temporal aspects. We present a dataset, NAREORC, with over 1000
human rewritings of stories within ROCStories in non-linear orders, and conduct
a detailed analysis of it. Further, we propose novel initial task-specific
training methods and evaluation metrics. We perform experiments on NAREORC
using GPT-2 and Transformer models and conduct an extensive human evaluation.
We demonstrate that NAREOR is a challenging task with potential for further
exploration.
