RuREBus dataset

Dataset Description

RuREBus dataset (https://github.com/dialogue-evaluation/RuREBus) is a Russian dataset for named entity recognition and relation extraction.

Dataset Structure

There are two subsets of the dataset.

Using load_dataset('MalakhovIlya/RuREBus') you can download annotated data (DatasetDict) for named entity recognition task and relation extraction tasks. This subset consists of two splits: "train" and "test".

Using load_dataset('MalakhovIlya/NEREL', 'raw_txt')['raw_txt'] you can download (Dataset) large corpus (~3gb) raw texts of the same subject area, but without any annotations.

"entities" are used in named-entity recognition task (see https://en.wikipedia.org/wiki/Named-entity_recognition).
"relations" are used in relationship extraction task (see https://en.wikipedia.org/wiki/Relationship_extraction).

Each entity is represented by a string of the following format:
"<id>\t<type> <start> <stop>\t<text>", where
<id> is an entity id,
<type> is one of entity types,
<start> is a position of the first symbol of entity in text,
<stop> is the last symbol position in text +1.

Each relation is represented by a string of the following format:
"<id>\t<type> Arg1:<arg1_id> Arg2:<arg2_id>", where
<id> is a relation id,
<arg1_id> and <arg2_id> are entity ids.

Citation Information

@inproceedings{rurebus, Address = {Moscow, Russia}, Author = {Ivanin, Vitaly and Artemova, Ekaterina and Batura, Tatiana and Ivanov, Vladimir and Sarkisyan, Veronika and Tutubalina, Elena and Smurov, Ivan}, Title = {RuREBus-2020 Shared Task: Russian Relation Extraction for Business}, Booktitle = {Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialog” [Komp’iuternaia Lingvistika i Intellektual’nye Tehnologii: Trudy Mezhdunarodnoj Konferentsii “Dialog”]}, Year = {2020} }