language:
- ru
multilinguality:
- monolingual
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: RuNNE
RuNNE dataset
Table of Contents
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} }