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---
dataset_info:
  features:
  - name: doc_id
    dtype: int32
  - name: sentence_id
    dtype: int32
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': O
          '1': B-art-broadcastprogram
          '2': I-art-broadcastprogram
          '3': B-art-film
          '4': I-art-film
          '5': B-art-music
          '6': I-art-music
          '7': B-art-other
          '8': I-art-other
          '9': B-art-painting
          '10': I-art-painting
          '11': B-art-writtenart
          '12': I-art-writtenart
          '13': B-building-airport
          '14': I-building-airport
          '15': B-building-hospital
          '16': I-building-hospital
          '17': B-building-hotel
          '18': I-building-hotel
          '19': B-building-library
          '20': I-building-library
          '21': B-building-other
          '22': I-building-other
          '23': B-building-restaurant
          '24': I-building-restaurant
          '25': B-building-sportsfacility
          '26': I-building-sportsfacility
          '27': B-building-theater
          '28': I-building-theater
          '29': B-event-attack/battle/war/militaryconflict
          '30': I-event-attack/battle/war/militaryconflict
          '31': B-event-disaster
          '32': I-event-disaster
          '33': B-event-election
          '34': I-event-election
          '35': B-event-other
          '36': I-event-other
          '37': B-event-protest
          '38': I-event-protest
          '39': B-event-sportsevent
          '40': I-event-sportsevent
          '41': B-location-gpe
          '42': I-location-gpe
          '43': B-location-bodiesofwater
          '44': I-location-bodiesofwater
          '45': B-location-island
          '46': I-location-island
          '47': B-location-mountain
          '48': I-location-mountain
          '49': B-location-other
          '50': I-location-other
          '51': B-location-park
          '52': I-location-park
          '53': B-location-road/railway/highway/transit
          '54': I-location-road/railway/highway/transit
          '55': B-organization-company
          '56': I-organization-company
          '57': B-organization-education
          '58': I-organization-education
          '59': B-organization-government/governmentagency
          '60': I-organization-government/governmentagency
          '61': B-organization-media/newspaper
          '62': I-organization-media/newspaper
          '63': B-organization-other
          '64': I-organization-other
          '65': B-organization-politicalparty
          '66': I-organization-politicalparty
          '67': B-organization-religion
          '68': I-organization-religion
          '69': B-organization-showorganization
          '70': I-organization-showorganization
          '71': B-organization-sportsleague
          '72': I-organization-sportsleague
          '73': B-organization-sportsteam
          '74': I-organization-sportsteam
          '75': B-other-astronomything
          '76': I-other-astronomything
          '77': B-other-award
          '78': I-other-award
          '79': B-other-biologything
          '80': I-other-biologything
          '81': B-other-chemicalthing
          '82': I-other-chemicalthing
          '83': B-other-currency
          '84': I-other-currency
          '85': B-other-disease
          '86': I-other-disease
          '87': B-other-educationaldegree
          '88': I-other-educationaldegree
          '89': B-other-god
          '90': I-other-god
          '91': B-other-language
          '92': I-other-language
          '93': B-other-law
          '94': I-other-law
          '95': B-other-livingthing
          '96': I-other-livingthing
          '97': B-other-medical
          '98': I-other-medical
          '99': B-person-actor
          '100': I-person-actor
          '101': B-person-artist/author
          '102': I-person-artist/author
          '103': B-person-athlete
          '104': I-person-athlete
          '105': B-person-director
          '106': I-person-director
          '107': B-person-other
          '108': I-person-other
          '109': B-person-politician
          '110': I-person-politician
          '111': B-person-scholar
          '112': I-person-scholar
          '113': B-person-soldier
          '114': I-person-soldier
          '115': B-product-airplane
          '116': I-product-airplane
          '117': B-product-car
          '118': I-product-car
          '119': B-product-food
          '120': I-product-food
          '121': B-product-game
          '122': I-product-game
          '123': B-product-other
          '124': I-product-other
          '125': B-product-ship
          '126': I-product-ship
          '127': B-product-software
          '128': I-product-software
          '129': B-product-train
          '130': I-product-train
          '131': B-product-weapon
          '132': I-product-weapon
          '133': B-datetime-absolute
          '134': I-datetime-absolute
          '135': B-datetime-relative
          '136': I-datetime-relative
          '137': B-datetime-range
          '138': I-datetime-range
          '139': B-datetime-authored
          '140': I-datetime-authored
  splits:
  - name: train
    num_bytes: 78427
    num_examples: 246
  - name: test
    num_bytes: 8506
    num_examples: 29
  - name: eval
    num_bytes: 11030
    num_examples: 32
  download_size: 58322
  dataset_size: 97963
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: eval
    path: data/eval-*
---