Dataset Card for Collection3

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 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 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.

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

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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}}