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metadata
dataset_info:
  features:
    - name: document_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: 5453664
      num_examples: 16815
    - name: test
      num_bytes: 658227
      num_examples: 2032
    - name: eval
      num_bytes: 697988
      num_examples: 2184
  download_size: 1452234
  dataset_size: 6809879
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: eval
        path: data/eval-*