  Creativity is one of the driving forces of human kind as it allows to break
current understanding to envision new ideas, which may revolutionize entire
fields of knowledge. Scientific research offers a challenging environment where
to learn a model for the creative process. In fact, scientific research is a
creative act in the formal settings of the scientific method and this creative
act is described in articles.
  In this paper, we dare to introduce the novel, scientifically and
philosophically challenging task of Generating Abstracts of Scientific Papers
from abstracts of cited papers (GASP) as a text-to-text task to investigate
scientific creativity, To foster research in this novel, challenging task, we
prepared a dataset by using services where that solve the problem of copyright
and, hence, the dataset is public available with its standard split. Finally,
we experimented with two vanilla summarization systems to start the analysis of
the complexity of the GASP task.
