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--- |
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language: |
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- ru |
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multilinguality: |
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- monolingual |
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task_categories: |
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- token-classification |
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task_ids: |
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- named-entity-recognition |
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pretty_name: RuNNE |
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--- |
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# RuNNE dataset |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Structure](#dataset-structure) |
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- [Citation Information](#citation-information) |
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- [Contacts](#contacts) |
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## Dataset Description |
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Part of NEREL dataset (https://arxiv.org/abs/2108.13112), a Russian dataset |
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for named entity recognition and relation extraction, used in RuNNE (2022) |
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competition (https://github.com/dialogue-evaluation/RuNNE). |
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Entities may be nested (see https://arxiv.org/abs/2108.13112). |
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Entity types list: |
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* AGE |
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* AWARD |
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* CITY |
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* COUNTRY |
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* CRIME |
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* DATE |
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* DISEASE |
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* DISTRICT |
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* EVENT |
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* FACILITY |
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* FAMILY |
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* IDEOLOGY |
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* LANGUAGE |
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* LAW |
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* LOCATION |
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* MONEY |
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* NATIONALITY |
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* NUMBER |
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* ORDINAL |
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* ORGANIZATION |
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* PENALTY |
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* PERCENT |
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* PERSON |
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* PRODUCT |
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* PROFESSION |
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* RELIGION |
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* STATE_OR_PROVINCE |
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* TIME |
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* WORK_OF_ART |
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## Dataset Structure |
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There are two "configs" or "subsets" of the dataset. |
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Using |
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`load_dataset('MalakhovIlya/RuNNE', 'ent_types')['ent_types']` |
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you can download list of entity types ( |
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Dataset({ |
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features: ['type'], |
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num_rows: 29 |
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}) |
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) |
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Using |
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`load_dataset('MalakhovIlya/RuNNE', 'data')` or `load_dataset('MalakhovIlya/RuNNE')` |
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you can download the data itself (DatasetDict) |
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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. |
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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. |
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P.S. |
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Original NEREL dataset also contains relations, events and linked entities, but they were not added here yet ¯\\\_(ツ)_/¯ |
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## Citation Information |
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@article{Artemova2022runne, |
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title={{RuNNE-2022 Shared Task: Recognizing Nested Named Entities}}, |
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author={Artemova, Ekaterina and Zmeev, Maksim and Loukachevitch, Natalia and Rozhkov, Igor and Batura, Tatiana and Braslavski, Pavel and Ivanov, Vladimir and Tutubalina, Elena}, |
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journal={Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference "Dialog"}, |
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year={2022} |
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} |
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