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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-GENERAL__organization-showorganization
            '2': I-GENERAL__organization-showorganization
            '3': B-GENERAL__product-airplane
            '4': I-GENERAL__product-airplane
            '5': B-GENERAL__art-film
            '6': I-GENERAL__art-film
            '7': B-GENERAL__building-theater
            '8': I-GENERAL__building-theater
            '9': B-GENERAL__art-other
            '10': I-GENERAL__art-other
            '11': B-GENERAL__other-disease
            '12': I-GENERAL__other-disease
            '13': B-GENERAL__person-artist/author
            '14': I-GENERAL__person-artist/author
            '15': B-GENERAL__other-biologything
            '16': I-GENERAL__other-biologything
            '17': B-GENERAL__organization-media/newspaper
            '18': I-GENERAL__organization-media/newspaper
            '19': B-GENERAL__product-food
            '20': I-GENERAL__product-food
            '21': B-GENERAL__building-hotel
            '22': I-GENERAL__building-hotel
            '23': B-GENERAL__other-chemicalthing
            '24': I-GENERAL__other-chemicalthing
            '25': B-GENERAL__organization-other
            '26': I-GENERAL__organization-other
            '27': B-GENERAL__organization-religion
            '28': I-GENERAL__organization-religion
            '29': B-GENERAL__building-sportsfacility
            '30': I-GENERAL__building-sportsfacility
            '31': B-GENERAL__person-other
            '32': I-GENERAL__person-other
            '33': B-GENERAL__building-hospital
            '34': I-GENERAL__building-hospital
            '35': B-GENERAL__product-weapon
            '36': I-GENERAL__product-weapon
            '37': B-GENERAL__person-politician
            '38': I-GENERAL__person-politician
            '39': B-GENERAL__product-software
            '40': I-GENERAL__product-software
            '41': B-GENERAL__person-scholar
            '42': I-GENERAL__person-scholar
            '43': B-DATETIME__relative
            '44': I-DATETIME__relative
            '45': B-GENERAL__other-law
            '46': I-GENERAL__other-law
            '47': B-GENERAL__event-other
            '48': I-GENERAL__event-other
            '49': B-GENERAL__location-bodiesofwater
            '50': I-GENERAL__location-bodiesofwater
            '51': B-GENERAL__organization-government/governmentagency
            '52': I-GENERAL__organization-government/governmentagency
            '53': B-DATETIME__range
            '54': I-DATETIME__range
            '55': B-GENERAL__product-ship
            '56': I-GENERAL__product-ship
            '57': B-GENERAL__other-livingthing
            '58': I-GENERAL__other-livingthing
            '59': B-GENERAL__product-car
            '60': I-GENERAL__product-car
            '61': B-GENERAL__product-game
            '62': I-GENERAL__product-game
            '63': B-DATETIME__authored
            '64': I-DATETIME__authored
            '65': B-GENERAL__building-other
            '66': I-GENERAL__building-other
            '67': B-GENERAL__other-language
            '68': I-GENERAL__other-language
            '69': B-GENERAL__other-astronomything
            '70': I-GENERAL__other-astronomything
            '71': B-GENERAL__building-library
            '72': I-GENERAL__building-library
            '73': B-GENERAL__product-train
            '74': I-GENERAL__product-train
            '75': B-GENERAL__location-other
            '76': I-GENERAL__location-other
            '77': B-GENERAL__building-airport
            '78': I-GENERAL__building-airport
            '79': B-GENERAL__other-god
            '80': I-GENERAL__other-god
            '81': B-GENERAL__art-painting
            '82': I-GENERAL__art-painting
            '83': B-GENERAL__other-educationaldegree
            '84': I-GENERAL__other-educationaldegree
            '85': B-GENERAL__art-music
            '86': I-GENERAL__art-music
            '87': B-GENERAL__art-writtenart
            '88': I-GENERAL__art-writtenart
            '89': B-GENERAL__building-restaurant
            '90': I-GENERAL__building-restaurant
            '91': B-GENERAL__art-broadcastprogram
            '92': I-GENERAL__art-broadcastprogram
            '93': B-GENERAL__location-island
            '94': I-GENERAL__location-island
            '95': B-DATETIME__absolute
            '96': I-DATETIME__absolute
            '97': B-GENERAL__organization-sportsteam
            '98': I-GENERAL__organization-sportsteam
            '99': B-GENERAL__event-attack/battle/war/militaryconflict
            '100': I-GENERAL__event-attack/battle/war/militaryconflict
            '101': B-GENERAL__product-other
            '102': I-GENERAL__product-other
            '103': B-GENERAL__other-award
            '104': I-GENERAL__other-award
            '105': B-GENERAL__location-GPE
            '106': I-GENERAL__location-GPE
            '107': B-GENERAL__person-soldier
            '108': I-GENERAL__person-soldier
            '109': B-GENERAL__location-mountain
            '110': I-GENERAL__location-mountain
            '111': B-GENERAL__event-sportsevent
            '112': I-GENERAL__event-sportsevent
            '113': B-GENERAL__location-road/railway/highway/transit
            '114': I-GENERAL__location-road/railway/highway/transit
            '115': B-GENERAL__other-medical
            '116': I-GENERAL__other-medical
            '117': B-GENERAL__organization-education
            '118': I-GENERAL__organization-education
            '119': B-GENERAL__organization-company
            '120': I-GENERAL__organization-company
            '121': B-GENERAL__other-currency
            '122': I-GENERAL__other-currency
            '123': B-GENERAL__location-park
            '124': I-GENERAL__location-park
  splits:
    - name: train
      num_bytes: 215176597
      num_examples: 858459
    - name: test
      num_bytes: 26842912
      num_examples: 107414
    - name: eval
      num_bytes: 27040468
      num_examples: 107608
  download_size: 54116107
  dataset_size: 269059977
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: eval
        path: data/eval-*