---
language:
- ru
license: mit
task_categories:
- token-classification
dataset_info:
  features:
  - name: id
    dtype: string
  - name: words
    sequence: string
  - name: ner_tags
    sequence: int64
  splits:
  - name: train
    num_bytes: 2079430
    num_examples: 612
  - name: valid
    num_bytes: 237125
    num_examples: 77
  - name: test
    num_bytes: 224036
    num_examples: 77
  download_size: 750018
  dataset_size: 2540591
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
---
# Dataset Card for Dataset Name

Preprocessed dataset [NEREL-BIO](https://github.com/nerel-ds/NEREL-BIO)   

## Dataset Details

{0: 'ACTIVITY',  
 1: 'ADMINISTRATION_ROUTE',  
 2: 'ANATOMY',  
 3: 'CHEM',  
 4: 'DEVICE',  
 5: 'DISO',  
 6: 'FINDING',  
 7: 'FOOD',  
 8: 'GENE',  
 9: 'INJURY_POISONING',  
 10: 'HEALTH_CARE_ACTIVITY',  
 11: 'LABPROC',  
 12: 'LIVB',  
 13: 'MEDPROC',  
 14: 'MENTALPROC',  
 15: 'PHYS',  
 16: 'SCIPROC',  
 17: 'AGE',  
 18: 'CITY',  
 19: 'COUNTRY',  
 20: 'DATE',  
 21: 'DISTRICT',  
 22: 'EVENT',  
 23: 'FAMILY',  
 24: 'FACILITY',  
 25: 'LOCATION',  
 26: 'MONEY',  
 27: 'NATIONALITY',  
 28: 'NUMBER',  
 29: 'ORDINAL',  
 30: 'ORGANIZATION',  
 31: 'PERCENT',  
 32: 'PERSON',  
 33: 'PRODUCT',  
 34: 'PROFESSION',  
 35: 'STATE_OR_PROVINCE',  
 36: 'TIME',  
 37: 'AWARD',  
 38: 'CRIME',  
 39: 'IDEOLOGY',  
 40: 'LANGUAGE',  
 41: 'LAW',  
 42: 'PENALTY',  
 43: 'RELIGION',  
 44: 'WORK_OF_ART'}