| | --- |
| | language: |
| | - ru |
| | multilinguality: |
| | - monolingual |
| | task_categories: |
| | - token-classification |
| | task_ids: |
| | - named-entity-recognition |
| | pretty_name: RuNNE |
| | --- |
| | |
| | # RuNNE dataset |
| |
|
| | ## Table of Contents |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Citation Information](#citation-information) |
| | - [Contacts](#contacts) |
| |
|
| | ## 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} |
| | } |
| |
|
| | ## Contacts |
| | Malakhov Ilya |
| | Telegram - https://t.me/noname_4710 |
| | |
