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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: RuREBus |
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--- |
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# RuREBus 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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RuREBus dataset (https://github.com/dialogue-evaluation/RuREBus) is |
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a Russian dataset for named entity recognition and relation extraction. |
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## Dataset Structure |
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There are two subsets of the dataset. |
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Using |
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`load_dataset('MalakhovIlya/RuREBus')` |
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you can download annotated data (DatasetDict) for named entity recognition task and |
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relation extraction tasks. |
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This subset consists of two splits: "train" and "test". |
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Using |
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`load_dataset('MalakhovIlya/NEREL', 'raw_txt')['raw_txt']` |
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you can download (Dataset) large corpus (~3gb) raw texts of the same subject |
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area, but without any annotations. |
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"entities" are used in named-entity recognition task (see https://en.wikipedia.org/wiki/Named-entity_recognition). |
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"relations" are used in relationship extraction task (see https://en.wikipedia.org/wiki/Relationship_extraction). |
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Each entity is represented by a string of the following format: |
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`"<id>\t<type> <start> <stop>\t<text>"`, where |
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`<id>` is an entity id, |
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`<type>` is one of entity types, |
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`<start>` is a position of the first symbol of entity in text, |
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`<stop>` is the last symbol position in text +1. |
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Each relation is represented by a string of the following format: |
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`"<id>\t<type> Arg1:<arg1_id> Arg2:<arg2_id>"`, where |
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`<id>` is a relation id, |
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`<arg1_id>` and `<arg2_id>` are entity ids. |
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## Citation Information |
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@inproceedings{rurebus, |
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Address = {Moscow, Russia}, |
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Author = {Ivanin, Vitaly and Artemova, Ekaterina and Batura, Tatiana and Ivanov, Vladimir and Sarkisyan, Veronika and Tutubalina, Elena and Smurov, Ivan}, |
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Title = {RuREBus-2020 Shared Task: Russian Relation Extraction for Business}, |
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Booktitle = {Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialog” [Komp’iuternaia Lingvistika i Intellektual’nye Tehnologii: Trudy Mezhdunarodnoj Konferentsii “Dialog”]}, |
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Year = {2020} |
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} |
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