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__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-*