RCC-MSU/collection3
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 added by Valerie Mozharova and Natalia Loukachevitch. Conversion to the IOB2 format and splitting into train, validation and test sets was done by DeepPavlov team. For more details see https://ieeexplore.ieee.org/document/7584769 and http://labinform.ru/pub/named_entities/index.htm
| Author / organization | RCC-MSU |
|---|---|
| License (as declared) | other |
| Downloads | 182 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 23 August 2022 |
| Last updated at source | 31 January 2023 |
Popularity, last 2 days
182 now (+12 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- onnx-community/ner-rubert-tiny-news-ONNXModel · used to train
- nesemenpolkov/msu-wiki-nerModel · used to train
- r1char9/ner-rubert-tiny-newsModel · used to train
- viktor-shcherb/sberbank-rubert-base-collection3Model · used to train
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.