RuNNE dataset

Dataset Description

Part of NEREL dataset (https://arxiv.org/abs/2108.13112), a Russian dataset for named entity recognition and relation extraction, used in RuNNE (2022) competition (https://github.com/dialogue-evaluation/RuNNE).

Entities may be nested (see https://arxiv.org/abs/2108.13112).

Entity types list:

• AGE
• AWARD
• CITY
• COUNTRY
• CRIME
• DATE
• DISEASE
• DISTRICT
• EVENT
• FACILITY
• FAMILY
• IDEOLOGY
• LANGUAGE
• LAW
• LOCATION
• MONEY
• NATIONALITY
• NUMBER
• ORDINAL
• ORGANIZATION
• PENALTY
• PERCENT
• PERSON
• PRODUCT
• PROFESSION
• RELIGION
• STATE_OR_PROVINCE
• TIME
• WORK_OF_ART

Dataset Structure

There are two "configs" or "subsets" of the dataset.
Using load_dataset('MalakhovIlya/RuNNE', 'ent_types')['ent_types'] you can download list of entity types ( Dataset({ features: ['type'], num_rows: 29 }) )
Using load_dataset('MalakhovIlya/RuNNE', 'data') or load_dataset('MalakhovIlya/RuNNE') you can download the data itself (DatasetDict)

Dataset consists of 3 splits: "train", "test" and "dev". Each of them contains text document. "Train" and "test" splits also contain annotated entities, "dev" doesn't. Each entity is represented by a string of the following format: "<start> <stop> <type>", where <start> is a position of the first symbol of entity in text, <stop> is the last symbol position in text and <type> is a one of the aforementioned list of types.

P.S. Original NEREL dataset also contains relations, events and linked entities, but they were not added here yet ¯\_(ツ)_/¯

Citation Information

@article{Artemova2022runne, title={{RuNNE-2022 Shared Task: Recognizing Nested Named Entities}}, author={Artemova, Ekaterina and Zmeev, Maksim and Loukachevitch, Natalia and Rozhkov, Igor and Batura, Tatiana and Braslavski, Pavel and Ivanov, Vladimir and Tutubalina, Elena}, journal={Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference "Dialog"}, year={2022} }