  This article introduces the Projective Orchestral Database (POD), a
collection of MIDI scores composed of pairs linking piano scores to their
corresponding orchestrations. To the best of our knowledge, this is the first
database of its kind, which performs piano or orchestral prediction, but more
importantly which tries to learn the correlations between piano and orchestral
scores. Hence, we also introduce the projective orchestration task, which
consists in learning how to perform the automatic orchestration of a piano
score. We show how this task can be addressed using learning methods and also
provide methodological guidelines in order to properly use this database.
