  The definition generation task aims to generate a word's definition within a
specific context automatically. However, owing to the lack of datasets for
different complexities, the definitions produced by models tend to keep the
same complexity level. This paper proposes a novel task of generating
definitions for a word with controllable complexity levels. Correspondingly, we
introduce COMPILING, a dataset given detailed information about Chinese
definitions, and each definition is labeled with its complexity levels. The
COMPILING dataset includes 74,303 words and 106,882 definitions. To the best of
our knowledge, it is the largest dataset of the Chinese definition generation
task. We select various representative generation methods as baselines for this
task and conduct evaluations, which illustrates that our dataset plays an
outstanding role in assisting models in generating different complexity-level
definitions. We believe that the COMPILING dataset will benefit further
research in complexity controllable definition generation.
