  In this paper, we present NEREL, a Russian dataset for named entity
recognition and relation extraction. NEREL is significantly larger than
existing Russian datasets: to date it contains 56K annotated named entities and
39K annotated relations. Its important difference from previous datasets is
annotation of nested named entities, as well as relations within nested
entities and at the discourse level. NEREL can facilitate development of novel
models that can extract relations between nested named entities, as well as
relations on both sentence and document levels. NEREL also contains the
annotation of events involving named entities and their roles in the events.
The NEREL collection is available via https://github.com/nerel-ds/NEREL.
