---
dataset_info:
- config_name: ai
  features:
  - name: tokens
    list: string
  - name: ner_tags
    list: string
  splits:
  - name: train
    num_bytes: 63809
    num_examples: 100
  - name: validation
    num_bytes: 182528
    num_examples: 350
  - name: test
    num_bytes: 215707
    num_examples: 431
  download_size: 466273
  dataset_size: 462044
- config_name: literature
  features:
  - name: tokens
    list: string
  - name: ner_tags
    list: string
  splits:
  - name: train
    num_bytes: 60068
    num_examples: 100
  - name: validation
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    num_examples: 400
  - name: test
    num_bytes: 255388
    num_examples: 416
  download_size: 552570
  dataset_size: 547997
- config_name: music
  features:
  - name: tokens
    list: string
  - name: ner_tags
    list: string
  splits:
  - name: train
    num_bytes: 65506
    num_examples: 100
  - name: validation
    num_bytes: 262527
    num_examples: 380
  - name: test
    num_bytes: 331086
    num_examples: 465
  download_size: 663878
  dataset_size: 659119
- config_name: politics
  features:
  - name: tokens
    list: string
  - name: ner_tags
    list: string
  splits:
  - name: train
    num_bytes: 149541
    num_examples: 200
  - name: validation
    num_bytes: 455547
    num_examples: 541
  - name: test
    num_bytes: 498599
    num_examples: 651
  download_size: 1108588
  dataset_size: 1103687
- config_name: science
  features:
  - name: tokens
    list: string
  - name: ner_tags
    list: string
  splits:
  - name: train
    num_bytes: 123025
    num_examples: 200
  - name: validation
    num_bytes: 287326
    num_examples: 450
  - name: test
    num_bytes: 342508
    num_examples: 543
  download_size: 757370
  dataset_size: 752859
configs:
- config_name: ai
  data_files:
  - split: train
    path: ai/train-*
  - split: validation
    path: ai/validation-*
  - split: test
    path: ai/test-*
- config_name: literature
  data_files:
  - split: train
    path: literature/train-*
  - split: validation
    path: literature/validation-*
  - split: test
    path: literature/test-*
- config_name: music
  data_files:
  - split: train
    path: music/train-*
  - split: validation
    path: music/validation-*
  - split: test
    path: music/test-*
- config_name: politics
  data_files:
  - split: train
    path: politics/train-*
  - split: validation
    path: politics/validation-*
  - split: test
    path: politics/test-*
- config_name: science
  data_files:
  - split: train
    path: science/train-*
  - split: validation
    path: science/validation-*
  - split: test
    path: science/test-*
---

ai = ['ALGORITHM', 'CONFERENCE', 'COUNTRY', 'FIELD', 'LOCATION', 'METRIC', 'MISC', 'ORGANIZATION', 'PERSON', 'PRODUCT', 'PROGRAMMING_LANGUAGE', 'RESEARCHER', 'TASK', 'UNIVERSITY']

literature = ['AWARD', 'BOOK', 'COUNTRY', 'EVENT', 'LITERARY_GENRE', 'LOCATION', 'MAGAZINE', 'MISC', 'ORGANIZATION', 'PERSON', 'POEM', 'WRITER']

music = ['ALBUM', 'AWARD', 'BAND', 'COUNTRY', 'EVENT', 'LOCATION', 'MISC', 'MUSICAL_ARTIST', 'MUSICAL_INSTRUMENT', 'MUSIC_GENRE', 'ORGANIZATION', 'PERSON', 'SONG']

politics = ['COUNTRY', 'ELECTION', 'EVENT', 'LOCATION', 'MISC', 'ORGANIZATION', 'PERSON', 'POLITICAL_PARTY', 'POLITICIAN']

science = ['ACADEMIC_JOURNAL', 'ASTRONOMICAL_OBJECT', 'AWARD', 'CHEMICAL_COMPOUND', 'CHEMICAL_ELEMENT', 'COUNTRY', 'DISCIPLINE', 'ENZYME', 'EVENT', 'LOCATION', 'MISC', 'ORGANIZATION', 'PERSON', 'PROTEIN', 'SCIENTIST', 'THEORY', 'UNIVERSITY']