Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Russian
Size:
10K<n<100K
License:
| annotations_creators: | |
| - other | |
| language: | |
| - ru | |
| language_creators: | |
| - found | |
| license: | |
| - other | |
| multilinguality: | |
| - monolingual | |
| pretty_name: Collection3 | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: [] | |
| tags: [] | |
| task_categories: | |
| - token-classification | |
| task_ids: | |
| - named-entity-recognition | |
| # Dataset Card for Collection3 | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-instances) | |
| - [Data Splits](#data-instances) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| ## Dataset Description | |
| - **Homepage:** [Collection3 homepage](http://labinform.ru/pub/named_entities/index.htm) | |
| - **Repository:** [Needs More Information] | |
| - **Paper:** [Two-stage approach in Russian named entity recognition](https://ieeexplore.ieee.org/document/7584769) | |
| - **Leaderboard:** [Needs More Information] | |
| - **Point of Contact:** [Needs More Information] | |
| ### Dataset Summary | |
| Collection3 is a Russian dataset for named entity recognition annotated with LOC (location), PER (person), and ORG (organization) tags. Dataset is based on collection [Persons-1000](http://ai-center.botik.ru/Airec/index.php/ru/collections/28-persons-1000) originally containing 1000 news documents labeled only with names of persons. | |
| Additional labels were obtained using guidelines similar to MUC-7 with web-based tool [Brat](http://brat.nlplab.org/) for collaborative text annotation. | |
| Currently dataset contains 26K annotated named entities (11K Persons, 7K Locations and 8K Organizations). | |
| Conversion to the IOB2 format and splitting into train, validation and test sets was done by [DeepPavlov team](http://files.deeppavlov.ai/deeppavlov_data/collection3_v2.tar.gz). | |
| ### Supported Tasks and Leaderboards | |
| [Needs More Information] | |
| ### Languages | |
| Russian | |
| ## Dataset Structure | |
| ### Data Instances | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "id": "851", | |
| "ner_tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 1, 2, 0, 0, 0], | |
| "tokens": ['Главный', 'архитектор', 'программного', 'обеспечения', '(', 'ПО', ')', 'американского', 'высокотехнологичного', 'гиганта', 'Microsoft', 'Рэй', 'Оззи', 'покидает', 'компанию', '.'] | |
| } | |
| ``` | |
| ### Data Fields | |
| - id: a string feature. | |
| - tokens: a list of string features. | |
| - ner_tags: a list of classification labels (int). Full tagset with indices: | |
| ``` | |
| {'O': 0, 'B-PER': 1, 'I-PER': 2, 'B-ORG': 3, 'I-ORG': 4, 'B-LOC': 5, 'I-LOC': 6} | |
| ``` | |
| ### Data Splits | |
| |name|train|validation|test| | |
| |---------|----:|---------:|---:| | |
| |Collection3|9301|2153|1922| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [Needs More Information] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [Needs More Information] | |
| #### Who are the source language producers? | |
| [Needs More Information] | |
| ### Annotations | |
| #### Annotation process | |
| [Needs More Information] | |
| #### Who are the annotators? | |
| [Needs More Information] | |
| ### Personal and Sensitive Information | |
| [Needs More Information] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [Needs More Information] | |
| ### Discussion of Biases | |
| [Needs More Information] | |
| ### Other Known Limitations | |
| [Needs More Information] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [Needs More Information] | |
| ### Licensing Information | |
| [Needs More Information] | |
| ### Citation Information | |
| ``` | |
| @inproceedings{mozharova-loukachevitch-2016-two-stage-russian-ner, | |
| author={Mozharova, Valerie and Loukachevitch, Natalia}, | |
| booktitle={2016 International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT)}, | |
| title={Two-stage approach in Russian named entity recognition}, | |
| year={2016}, | |
| pages={1-6}, | |
| doi={10.1109/FRUCT.2016.7584769}} | |
| ``` |