| | --- |
| | language: |
| | - ru |
| | multilinguality: |
| | - monolingual |
| | pretty_name: RuREBus |
| | task_categories: |
| | - structure-prediction |
| | task_ids: |
| | - named-entity-recognition |
| | --- |
| | |
| | # RuREBus dataset |
| |
|
| | ## Table of Contents |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Citation Information](#citation-information) |
| | - [Contacts](#contacts) |
| |
|
| | ## Dataset Description |
| | RuREBus dataset (https://github.com/dialogue-evaluation/RuREBus) is |
| | a Russian dataset for named entity recognition and relation extraction. |
| |
|
| | ## Dataset Structure |
| | There are two subsets of the dataset. |
| |
|
| | Using |
| | `load_dataset('MalakhovIlya/RuREBus')` |
| | you can download annotated data (DatasetDict) for named entity recognition task and |
| | relation extraction tasks. |
| | This subset consists of two splits: "train" and "test". |
| | |
| | Using |
| | `load_dataset('MalakhovIlya/NEREL', 'raw_txt')['raw_txt']` |
| | you can download (Dataset) large corpus (~3gb) raw texts of the same subject |
| | area, but without any annotations. |
| |
|
| | "entities" are used in named-entity recognition task (see https://en.wikipedia.org/wiki/Named-entity_recognition). |
| | "relations" are used in relationship extraction task (see https://en.wikipedia.org/wiki/Relationship_extraction). |
| |
|
| | Each entity is represented by a string of the following format: |
| | `"<id>\t<type> <start> <stop>\t<text>"`, where |
| | `<id>` is an entity id, |
| | `<type>` is one of entity types, |
| | `<start>` is a position of the first symbol of entity in text, |
| | `<stop>` is the last symbol position in text +1. |
| |
|
| | Each relation is represented by a string of the following format: |
| | `"<id>\t<type> Arg1:<arg1_id> Arg2:<arg2_id>"`, where |
| | `<id>` is a relation id, |
| | `<arg1_id>` and `<arg2_id>` are entity ids. |
| |
|
| | ## Citation Information |
| | @inproceedings{rurebus, |
| | Address = {Moscow, Russia}, |
| | Author = {Ivanin, Vitaly and Artemova, Ekaterina and Batura, Tatiana and Ivanov, Vladimir and Sarkisyan, Veronika and Tutubalina, Elena and Smurov, Ivan}, |
| | Title = {RuREBus-2020 Shared Task: Russian Relation Extraction for Business}, |
| | Booktitle = {Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialog” [Komp’iuternaia Lingvistika i Intellektual’nye Tehnologii: Trudy Mezhdunarodnoj Konferentsii “Dialog”]}, |
| | Year = {2020} |
| | } |
| |
|
| | ## Contacts |
| | Malakhov Ilya |
| | Telegram - https://t.me/noname_4710 |
| | |
