--- 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__product-software '2': I-GENERAL__product-software '3': B-GENERAL__person-scholar '4': I-GENERAL__person-scholar '5': B-GENERAL__event-attack/battle/war/militaryconflict '6': I-GENERAL__event-attack/battle/war/militaryconflict '7': B-DATETIME__range '8': I-DATETIME__range '9': B-GENERAL__other-award '10': I-GENERAL__other-award '11': B-GENERAL__other-disease '12': I-GENERAL__other-disease '13': B-GENERAL__building-sportsfacility '14': I-GENERAL__building-sportsfacility '15': B-DATETIME__authored '16': I-DATETIME__authored '17': B-GENERAL__location-bodiesofwater '18': I-GENERAL__location-bodiesofwater '19': B-GENERAL__art-writtenart '20': I-GENERAL__art-writtenart '21': B-GENERAL__other-god '22': I-GENERAL__other-god '23': B-DATETIME__relative '24': I-DATETIME__relative '25': B-GENERAL__organization-government/governmentagency '26': I-GENERAL__organization-government/governmentagency '27': B-GENERAL__product-weapon '28': I-GENERAL__product-weapon '29': B-GENERAL__other-language '30': I-GENERAL__other-language '31': B-GENERAL__event-other '32': I-GENERAL__event-other '33': B-GENERAL__building-restaurant '34': I-GENERAL__building-restaurant '35': B-GENERAL__location-mountain '36': I-GENERAL__location-mountain '37': B-GENERAL__organization-religion '38': I-GENERAL__organization-religion '39': B-GENERAL__location-park '40': I-GENERAL__location-park '41': B-GENERAL__event-sportsevent '42': I-GENERAL__event-sportsevent '43': B-GENERAL__other-livingthing '44': I-GENERAL__other-livingthing '45': B-GENERAL__product-food '46': I-GENERAL__product-food '47': B-GENERAL__other-currency '48': I-GENERAL__other-currency '49': B-GENERAL__location-island '50': I-GENERAL__location-island '51': B-GENERAL__organization-education '52': I-GENERAL__organization-education '53': B-GENERAL__other-astronomything '54': I-GENERAL__other-astronomything '55': B-GENERAL__other-chemicalthing '56': I-GENERAL__other-chemicalthing '57': B-GENERAL__other-law '58': I-GENERAL__other-law '59': B-GENERAL__building-library '60': I-GENERAL__building-library '61': B-GENERAL__organization-media/newspaper '62': I-GENERAL__organization-media/newspaper '63': B-GENERAL__location-GPE '64': I-GENERAL__location-GPE '65': B-GENERAL__art-music '66': I-GENERAL__art-music '67': B-GENERAL__art-broadcastprogram '68': I-GENERAL__art-broadcastprogram '69': B-GENERAL__person-soldier '70': I-GENERAL__person-soldier '71': B-GENERAL__building-airport '72': I-GENERAL__building-airport '73': B-GENERAL__other-biologything '74': I-GENERAL__other-biologything '75': B-GENERAL__art-other '76': I-GENERAL__art-other '77': B-GENERAL__person-other '78': I-GENERAL__person-other '79': B-GENERAL__organization-other '80': I-GENERAL__organization-other '81': B-GENERAL__product-game '82': I-GENERAL__product-game '83': B-DATETIME__absolute '84': I-DATETIME__absolute '85': B-GENERAL__organization-sportsteam '86': I-GENERAL__organization-sportsteam '87': B-GENERAL__product-train '88': I-GENERAL__product-train '89': B-GENERAL__product-car '90': I-GENERAL__product-car '91': B-GENERAL__other-medical '92': I-GENERAL__other-medical '93': B-GENERAL__building-theater '94': I-GENERAL__building-theater '95': B-GENERAL__art-film '96': I-GENERAL__art-film '97': B-GENERAL__art-painting '98': I-GENERAL__art-painting '99': B-GENERAL__location-other '100': I-GENERAL__location-other '101': B-GENERAL__building-hospital '102': I-GENERAL__building-hospital '103': B-GENERAL__product-airplane '104': I-GENERAL__product-airplane '105': B-GENERAL__product-ship '106': I-GENERAL__product-ship '107': B-GENERAL__person-politician '108': I-GENERAL__person-politician '109': B-GENERAL__other-educationaldegree '110': I-GENERAL__other-educationaldegree '111': B-GENERAL__product-other '112': I-GENERAL__product-other '113': B-GENERAL__building-other '114': I-GENERAL__building-other '115': B-GENERAL__person-artist/author '116': I-GENERAL__person-artist/author '117': B-GENERAL__organization-showorganization '118': I-GENERAL__organization-showorganization '119': B-GENERAL__location-road/railway/highway/transit '120': I-GENERAL__location-road/railway/highway/transit '121': B-GENERAL__building-hotel '122': I-GENERAL__building-hotel '123': B-GENERAL__organization-company '124': I-GENERAL__organization-company splits: - name: train num_bytes: 202016220 num_examples: 39999 - name: test num_bytes: 25621800 num_examples: 5000 - name: eval num_bytes: 25042293 num_examples: 4999 download_size: 37603522 dataset_size: 252680313 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: eval path: data/eval-* ---